Socure

Your core responsibilities would involve process improvement, data analysis, and operational efficiency enhancements. | The job requires advanced machine learning, deep learning, and programming skills, which are not present in your profile. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success. You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This role requires deep technical expertise, strategic ownership, and a commitment to Socure’s leadership principles, including continuous learning, effective communication, and accountability. What You'll Do Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, to address complex fraud and risk challenges. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images. Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments. Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning. Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions. Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection. Present findings and recommendations to technical and executive stakeholders with clarity and influence. Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems. Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience. 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification. Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images. Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development. Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus) Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus. Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions. Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics. Please note: we are unable to provide sponsorship now, or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

The role involves designing and deploying machine learning models for fraud detection and identity verification, working with large-scale data pipelines, and collaborating cross-functionally. | Requires extensive experience in data science, machine learning, SQL, Python, and deploying ML models in production environments, with a focus on fraud detection or behavioral analytics. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. We are seeking a Senior Data Scientist to join our Digital Intelligence team. In this role, you will drive the development of machine learning features and models that leverage device, network, and behavioral data to power fraud prevention and identity verification. You’ll work with rich, high-volume data from browser, mobile, and API traffic to surface meaningful insights and scalable risk signals. This is a great opportunity to own impactful projects, collaborate cross-functionally, and deepen your expertise in applied ML for device and behavioral intelligence. What You'll Do Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics. Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data). Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse. Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques. Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning. Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust. Contribute to team standards for ML explainability, risk evaluation, and feature logging. Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences. Mentor junior data scientists and participate in cross-functional working groups. What You Bring Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field. 6+ years of experience in data science or applied machine learning, including experience working in production environments. Excellent SQL skills and extensive experience with large-scale databases and data modeling. Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data. Proficiency in Python and distributed computing tools (e.g., Spark, PySpark). Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar. Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership. Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness. Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies. Strong judgment across data quality, model selection, and business impact tradeoffs. Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams. Preferred Qualifications Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling. Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings). Familiarity with privacy-preserving or robust ML techniques. Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing. What You’ll Gain Hands-on experience with real-world data science challenges in a high-impact industry. A collaborative and inclusive work environment that fosters learning and growth. Opportunities to grow into staff-level or technical leadership roles over time. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Own and analyze data related to Document Verification, build dashboards, and support product and fraud teams with insights. | Requires 2+ years in product analytics, proficiency in SQL, experience with large datasets, and data visualization skills; familiarity with fraud detection or identity verification is a plus. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role We are looking for a curious, data-driven Product Analyst to own the analytics strategy for our Document Verification (DocV) product. This role is pivotal in helping us understand, monitor, and improve one of the most critical components of our identity verification stack. You will own data analysis and reporting for DocV, build tools that help detect and prevent fraud, and support cross-functional teams - Product, Data Science, and Engineering - with deep analytical insights. This role is ideal for someone who is highly analytical, proactive, and passionate about improving product performance through data. You’ll work with large datasets, run targeted analyses, create dashboards, and collaborate closely with product managers and data scientists to shape how we track, measure, and respond to the ever-evolving identity landscape. What You'll Do Own all data analysis related to Document Verification (DocV), and be the subject matter expert for this domain. Perform ad-hoc and recurring analyses to support product decisions, answer key questions, and uncover emerging fraud patterns. Build dashboards, alerting systems, and trackers to monitor product health, detect anomalies, and surface emerging issues (e.g., spikes in failure codes or fraud signals). Maintain and expand a centralized fraud and transaction database, generating long-term insights into fraud trends, false positives, and model efficacy. Collaborate with the Fraud Investigations (FI) team and manage labeling pipelines, monitor fraud trends, and incorporate findings into product development. Support customer success and product scoping efforts with data-driven insights. Conduct post-deployment performance analysis of fraud features, models, and new product capabilities. Operationalize proactive monitoring of new ID types, data exceptions, and unusual classification behavior. Manage our model governance process to regularly evaluate model performance and bias testing. What You Bring 2+ years of experience in product analytics, data analysis, or a similar role in a data-focused environment. Excellent communication skills with the ability to present complex findings to technical and non-technical audiences, and experience communicating insights to external customers or client-facing teams is a very strong plus. Proficient in SQL and comfortable working with large datasets in cloud environments like Databricks, Snowflake, Mixpanel, or similar. Experience with data visualization and dashboarding tools (e.g., Looker, Tableau) and a track record of building executive-ready dashboards. Familiarity with Python for data analysis (e.g., Pandas, Jupyter Notebooks) is a plus. Strong problem-solving skills and attention to detail; ability to dig deep into transactional data to uncover insights, with a solid statistical foundation to support rigorous analysis. Prior experience in identity verification, fraud detection, or risk analytics is a strong plus. Why This Role Matters Our DocV product plays a key role in helping customers prevent fraud while maintaining a seamless user experience. With fraud tactics constantly evolving, we need a dedicated analyst who can anticipate issues, inform better product decisions, and support our data science and product teams with reliable, actionable insights. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Developing and maintaining cost and pricing models, analyzing vendor costs, and supporting revenue forecasting. | Requires 4-6 years in data procurement, financial analysis, and proficiency in Excel, SQL, and data visualization tools. | Job Description: • Develop, analyze, and maintain cost and pricing models for subscription, transactional pay-per-use (API), and enterprise licensing data products. • Partner with Product Managers to analyze, recommend, and test tiered, volume-based, and bundled margin and pricing structures. • Support monthly, quarterly, and annual cost and price reviews and recommend adjustments based on market data and company strategy. • Evaluate data acquisition and licensing costs across vendors and data sources. • Model and monitor gross margins for data products to ensure profitability targets are met. • Provide Product, Finance and Revenue Leadership with visibility into cost drivers and margin sensitivity under different pricing scenarios. • Analyze vendor and internal data usage patterns against spend and revenue to develop return-on-investment recommendations and decisions. • Collaborate with Finance to support forecasting, scenario modeling, and revenue planning. • Maintain data cost information with global data vendors to ensure all cost inputs are accurate and current. Requirements: • Bachelor’s degree in Finance, Economics, Data Analytics, Business, or related field (Master’s a plus). • 4-6 years of experience in data procurement and management, product development, or financial analysis (experience in SaaS or data products preferred). • Experience with cost modeling, margin analysis, or unit economics, ideally in a data or SaaS environment. • Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (Tableau, Power BI, Looker). • Familiarity with statistical modeling, elasticity analysis, or pricing optimization techniques. • Ability to synthesize complex data into clear, actionable recommendations. • Strong communication and stakeholder management skills. Benefits: • Competitive compensation package including salary, bonus, and equity options. • Comprehensive benefits [401k, wellness, life/disability coverage, DeskPass, legal] • Flexible/remote work arrangements.

Developing and analyzing cost and pricing models, evaluating margins, and providing insights to optimize profitability and market positioning. | Bachelor's degree in a related field, 4-6 years of experience in data procurement, management, or financial analysis, proficiency in Excel, SQL, and data visualization tools, and strong stakeholder management skills. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role We are seeking a Cost and Pricing Analyst to join our Global Data Acquisition and Strategy Team within our Product Center of Excellence. This person will play a pivotal role in designing, analyzing, optimizing, and maintaining data cost information and models globally.. This role will support strategic decision-making by providing insights into global competitive costs, market dynamics, product financial performance, and optimized cost structures. This person will work day-to-day within the Product Team while collaborating closely with Finance and Revenue teams to ensure cost, margin, and pricing decisions align with customer value, market positioning, and financial goals. Key Responsibilities Cost Strategy & Modeling Develop, analyze, and maintain cost and pricing models for subscription, transactional pay-per-use (API), and enterprise licensing data products. Partner with Product Managers to analyze, recommend, and test tiered, volume-based, and bundled margin and pricing structures. Support monthly, quarterly, and annual cost and price reviews and recommend adjustments based on market data and company strategy. Support a growing international product company that relies on global data, with the need to manage cost and pricing in USD, and derisk currency fluctuations. Cost & Margin Analysis Evaluate data acquisition and licensing costs across vendors and data sources. Model and monitor gross margins for data products to ensure profitability targets are met. Provide Product, Finance and Revenue Leadership with visibility into cost drivers and margin sensitivity under different pricing scenarios. Arm teams with cost and margin requirements to negotiate with vendors Data Analysis & Insights Analyze vendor and internal data usage patterns against spend and revenue to develop return-on-investment recommendations and decisions. Benchmark competitive product pricing and margins through market research to ensure competitive positioning. Monitor cost, margin, and pricing performance against KPIs (revenue, ARPU, conversion rates, and margins). Cross-Functional Collaboration Sit within the Product Team and align cost, margin, and pricing strategy with product roadmaps and launches. Partner with Revenue and Customer Success to understand customer feedback on pricing and competitive pricing positioning Collaborate with Finance to support forecasting, scenario modeling, and revenue planning. Governance & Compliance Maintain data cost information with global data vendors, some are annual costs and some are monthly dynamic, to ensure all cost inputs are accurate and current. Ensure transparency and compliance with contractual and regulatory requirements. Qualifications Bachelor’s degree in Finance, Economics, Data Analytics, Business, or related field (Master’s a plus). 4-6 years of experience in data procurement and management, product development, or financial analysis (experience in SaaS or data products preferred). Experience with cost modeling, margin analysis, or unit economics, ideally in a data or SaaS environment. Industry experience working with comparable companies providing global identity verification solutions, fraud products and solutions, compliance product solutions and similar risk mitigation solutions. Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (Tableau, Power BI, Looker). Familiarity with statistical modeling, elasticity analysis, or pricing optimization techniques. Ability to synthesize complex data into clear, actionable recommendations. Strong communication and stakeholder management skills. What You Get Opportunity to shape the cost, pricing and profitability strategy of a high-growth global company. Work closely with the Product Team, influencing cost, margin, and pricing decisioning Competitive compensation package including salary, bonus, and equity options. Comprehensive benefits [401k, wellness, life/disability coverage, DeskPass, legal] Flexible/remote work arrangements. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Lead the development and execution of a unified, AI-assisted case management platform for fraud, risk, and compliance teams, ensuring scalable, user-friendly workflows. | Extensive experience in SaaS product management, strong UX design skills, domain knowledge in fraud/risk/compliance, and proven ability to ship AI-enabled workflows. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role Socure is seeking a Staff Product Manager, Risk & Compliance Case Management to lead the next phase of Socure’s RiskOS Case Management experience. This role will elevate our existing case management foundation into a scalable, best-in-class experience, consolidating and unifying workflows and UI patterns across multiple product lines and customer use cases. You will be at the center of the reviewer experience - enabling fraud, risk, and compliance teams to triage queues, investigate entities, interpret thousands of data points, document outcomes, collaborate, and take action efficiently and defensibly. You will partner closely with Product Design and collaborate across Socure Product teams to align on shared workflows, data models, and customer-facing experiences. Socure’s guiding principle of “AI everywhere” will be embedded into the core of the product, ensuring every step of the user journey is assisted with AI capabilities. What You'll Do Product Leadership & Customer-Driven Strategy (RiskOS Case Management) Own the vision, strategy, and roadmap for RiskOS Case Management - evolving and scaling existing capabilities into a best-in-class reviewer experience. Convert customer and internal pain points into crisp problem statements, requirements, and measurable outcomes (e.g., time-to-decision, throughput, quality). Lead consolidation across product lines into a unified, consistent case management dashboard (queues, case views, actions, reporting). Run continuous discovery with fraud/risk/compliance teams and GTM/sales (interviews, shadowing, usability testing) and turn insights into roadmap priorities. Cross-Functional Leadership & Execution Drive alignment across Product, Design, Engineering, Data Science/ML, Analytics, and GTM on priorities, sequencing, and tradeoffs. Set platform standards vs. solution-specific extensions; broker decisions that scale across customers and teams. Communicate clearly with executives and stakeholders; sustain velocity while protecting UX quality and platform scalability. Ensure execution and launch readiness for major releases: enablement, release planning, adoption tracking, and post-launch iteration. Reviewer Experience, Workflow Design & Compliance Defensibility Partner in lockstep with Product Design to deliver world-class UX for high-stakes review workflows and dense risk data. Define information architecture and interaction patterns that reduce cognitive load and surface decision-ready insights. Build compliance-ready workflows with auditability, traceability, evidence capture, collaboration, and defensible decision rationale. Incorporate domain requirements (e.g., AML/KYC-style operations; FinCEN-related workflows) and uphold quality across accessibility, performance, and consistency. AI-Native Case Management Make every step AI-assisted and keep AI foundational to the end-to-end reviewer journey - not a standalone feature set. Partner with ML/Engineering to ensure AI experiences are trusted, explainable, measurable, and aligned with compliance expectations. Instrument and optimize AI impact via clear metrics (time saved, fewer steps, higher confidence, improved consistency). What You Bring 5+ years PM experience owning complex, workflow-heavy SaaS products; proven ability to execute and lead cross-functionally in ambiguity. Strong design partnership and UX execution chops, especially for simplifying dense data into fast, accurate decisions. Domain experience in fraud/risk/compliance/investigations (or adjacent operational decisioning) and comfort working directly with enterprise customers. Data-driven: defines KPIs, instruments telemetry, and uses insights to prioritize and measure impact. Proven ability to ship AI-assisted UX/workflows in production (incl. human-in-the-loop) with strong communication and product judgment. Preferred Qualifications Experience consolidating fragmented UIs into a unified platform experience. Familiarity with AML/KYC or related financial services compliance operations. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Analyze operational data and optimize workflows to improve efficiency and decision-making. | Strong analytical skills, experience with data-driven process improvement, and stakeholder collaboration, but lacks deep learning and AI-specific experience. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role We are seeking a skilled and motivated Data Scientist II to join our Fraud & Risk Data Science team. As an individual contributor, you will have autonomy in your day-to-day work and play an important role in driving functional productivity and project success. You will work hands-on with advanced deep learning models, collaborating with colleagues to deliver impactful solutions for fraud detection, risk management, and identity verification. This position provides the opportunity to contribute to diverse projects and collaborate within a supportive, high-performing team. What You'll Do Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, to address complex fraud and risk challenges. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images. Take ownership of assigned tasks, executing technical and functional activities to support project goals with minimal supervision. Participate in all stages of the machine learning lifecycle: data exploration, feature engineering, model training, evaluation, and deployment. Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to drive results. Make routine technical decisions and contribute to functional objectives through productive and proactive engagement. Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems. Communicate results and insights clearly to both technical and non-technical audiences. What You Bring Bachelor’s degree with substantial related experience, Master’s degree with relevant experience, or equivalent work background in Computer Science, Statistics, Mathematics, Engineering, or a related field. 2-4 years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images. Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Foundational understanding of machine learning algorithms, model evaluation techniques, and data pipeline development. Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus) Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus. Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives. Demonstrated ability to collaborate in a diverse, cross-functional team environment. Excellent written and verbal communication skills. Experience in fraud prevention, risk modeling, or identity verification is a plus. Please note: we are unable to provide sponsorship now, or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Your core responsibilities involve analyzing operational data, streamlining workflows, and improving process efficiencies. | The job requires advanced data science expertise, experience with graph modeling, machine learning, and large-scale data systems, which are not present in your profile. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role We are seeking a Staff Data Scientist to lead advanced data science and R&D efforts for the ID Graph, Socure’s foundational platform powering identity intelligence across our product ecosystem. This Staff-level role operates at platform scale, with responsibility extending beyond a single model or pipeline. You will work at the intersection of graph modeling, machine learning, and product innovation, collaborating closely with Engineering, Product Management, and multiple product teams. The ID Graph is the core intelligence backbone for many downstream products, and your work will directly impact Socure’s ability to deliver trusted, scalable, and explainable identity solutions. What You'll Do Entity Resolution & Graph Evaluation Lead the evaluation and continuous improvement of entity resolution and entity linking pipelines. Debug new builds, identify anomalies, and recommend modeling or system-level improvements. Define, implement, and maintain scalable performance and quality metrics, leveraging automation and LLM-based approaches where appropriate. Partner with Engineering to optimize entity linking and ranking systems using Learning-to-Rank and related techniques. Design methods to assess and classify entity confidence and quality across the graph. Data Quality & Modeling Frameworks Design and implement a comprehensive data quality framework for graph-based identity data. Translate abstract quality concepts (e.g., reliability, stability, consistency) into measurable signals. Use data quality insights to guide modeling decisions, experimentation strategy, and product prioritization. Signal Discovery & Graph Intelligence Identify and operationalize generalized, high-impact predictive signals derived from graph structure, temporal dynamics, and relational patterns. Develop scalable approaches to link prediction, label propagation, and semi-supervised learning within the ID Graph. Explore and evaluate advanced graph modeling techniques, including graph-based ML, knowledge graph methods, and Graph Neural Networks (GNNs), when appropriate. Focus on durable abstractions rather than one-off features, ensuring solutions are explainable, compliant, and reusable across multiple products. Cross-Functional Collaboration & Technical Leadership Collaborate closely with Engineering, Product Management, Compliance, and downstream product teams. Act as a technical leader within the Identity organization, influencing modeling standards, experimentation rigor, and best practices. Translate complex technical findings into clear insights and recommendations for both technical and non-technical stakeholders. Support the launch of new product capabilities built on top of the ID Graph. Leadership Competencies Demonstrate strong ownership, strategic impact, and assertive communication. Mentor peers, foster a culture of growth, and build authentic relationships across teams. Embrace feedback, adapt resiliently to challenges, and pursue continual self-improvement. What You Bring Core Technical Skills Strong proficiency in Python and PySpark. Deep experience with: Classification models Learning-to-Rank Anomaly Detection Statistical Modeling Experience building and maintaining production-grade ML systems at scale. Data & Platform Experience Hands-on experience with Databricks. Familiarity with graph databases and query languages such as NeptuneDB and OpenCypher. Experience with graph processing frameworks (e.g., GraphFrames). Preferred Experience Experience applying LLMs for evaluation, automation, or signal discovery. Familiarity with Knowledge Graphs and Graph Neural Networks (GNNs). Leadership & Collaboration Proven ability to drive cross-functional projects, mentor peers, and influence technical and business outcomes. Excellent communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Education & Experience Master’s or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field. 5+ years of experience in applied data science, machine learning, or artificial intelligence, with a focus on graph-based modeling and large-scale data systems. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Develop and execute product marketing strategies for fintech and marketplace segments, including market research, product launches, messaging, and content creation. | Requires 5+ years in product marketing with experience in fintech or marketplaces, strong communication skills, and understanding of digital identity, fraud prevention, or compliance solutions. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Job Overview The Product Marketing Manager for Fintech and Marketplace segments will develop and execute product marketing strategies to drive awareness, adoption, and growth for Socure’s solutions in these dynamic markets. This role partners closely with product, sales, and marketing teams to define positioning, messaging, and go-to-market plans tailored to the unique needs of fintech and marketplace customers. The PMM leads market research, supports product launches, and ensures alignment between product capabilities and customer needs, with a specific focus on digital identity, onboarding, fraud prevention, and compliance solutions for fintechs and marketplaces. As the PMM for Fintech and Marketplaces, you won't just market products; you will be the strategic architect helping the world’s most innovative companies solve their biggest challenges: trust, fraud, and frictionless growth. Job Responsibilities Develop product positioning, messaging, and value propositions that differentiate Socure’s solutions for fintech and marketplace customers. Lead the charge on high-impact launches. You aren’t just hitting "send" on an email; you are orchestrating cross-functional teams to ensure our innovations land with a splash and drive immediate pipeline.Serve as the "Voice of the Market." You’ll dive deep into the competitive landscape of digital identity and compliance, ensuring our roadmap stays two steps ahead of industry shifts. Collaborate with product, sales, and marketing teams to ensure consistent messaging and alignment across channels. Turn our sales team into experts. You’ll create the "battle cards," pitch decks, and training that help our account executives win in the complex ecosystem. Track and analyze product and campaign performance metrics, providing insights and recommendations for optimization. Develop customer-facing content, including case studies, blog posts, and product collateral, highlighting the impact of Socure’s solutions in fintech and marketplace environments. Gather feedback from customers and internal stakeholders to inform product improvements and marketing initiatives. Develop thought-leadership content (blogs, whitepapers, case studies) that establishes Socure as the definitive expert in marketplaces and fintechs. Job Requirements Bachelor’s degree in Marketing, Business, Communications, or a related field. 5+ years of experience in product marketing, marketing, or a related field, with a strong preference for experience marketing to fintech and/or marketplace customers. Strong written and verbal communication skills. Analytical mindset with the ability to interpret data and market trends. Project management and organizational abilities; able to manage multiple projects and adapt to shifting priorities. Deep understanding of product marketing, go-to-market strategies, and sales enablement. Collaboration and relationship-building skills across cross-functional teams. Adaptability, curiosity, and a willingness to learn in a fast-paced environment. Experience with digital identity, fraud prevention, or compliance solutions is a plus. Experience marketing to FinTechs and/or Marketplace customers is a must. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Manage the lifecycle of graph intelligence and signals products, translating technical insights into scalable features, and collaborating across teams to enhance fraud detection capabilities. | Requires 5+ years in product management within fraud prevention or identity verification, with technical expertise in predictive analytics and ML/AI, and experience delivering technical products end-to-end. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role As a Senior Product Manager in the Fraud team, you will own the graph intelligence and signals products in addition to playing a key role in advancing Socure’s fraud prevention capabilities by deepening how our products leverage machine learning scores, actionable insights, and native integration to identify and mitigate risk. This role is focused on hands-on execution, rigorous product discovery, and data-informed decision making through structured frameworks. You’ll translate business and customer needs into well-defined requirements, ensuring actionable insights deliver measurable value across Socure’s products. This role is ideal for a PM who thrives on turning complex technical concepts into practical, scalable features — driving outcomes through consistent prioritization, tight execution, and collaboration with engineering and data science partners. What You'll Do Product Delivery & Execution: Manage the product lifecycle for Graph Intelligence and Signals — from problem discovery to launch and optimization. Use structured product frameworks (e.g., RICE, Kano, JTBD, or Opportunity Solution Tree) to make data-driven prioritization and tradeoff decisions. Develop detailed product requirements, acceptance criteria, and success metrics that enable precise engineering execution. Partner with Engineering and Data Science to ensure timely delivery and quality outcomes of graph and signal-based features. Integration & Value Realization: Identify and execute opportunities for native integration of graph insights into existing fraud and risk products, enhancing detection efficacy and reducing false positives. Collaborate with dependent teams to ensure smooth data flows, operational performance, and measurable customer value from graph-based systems. Define and track KPIs that quantify signal precision, latency, and contribution to model accuracy. Customer-Centric Problem Solving: Conduct customer discovery and feedback loops to validate hypotheses and refine product decisions. Partner with Customer Success and Sales Engineering to understand customer workflows and optimize product usability. Translate technical insights into clear product value propositions that resonate with both internal stakeholders and clients. Collaboration & Cross-Functional Alignment: Collaborate closely with Data Science, Engineering, and other product areas to ensure consistent integration of graph and signal intelligence across the platform. Work with Product Marketing and GTM teams to prepare product documentation, release notes, and enablement materials that highlight graph-related value. Contribute to quarterly planning and prioritization through transparent communication of tradeoffs, outcomes, and progress metrics. What You Bring Required: Experience: 5+ years of relevant Product Management experience in fraud prevention or identity verification, with a proven track record of launching and growing B2B API & ML/AI products. Execution Focus: Proven success delivering technical products end-to-end, with a strong record of shipping on time and iterating based on impact. Technical Expertise: Strong technical knowledge of predictive analytics, with experience in data-driven product development. Strategic Thinking: Ability to develop and execute product line roadmaps, ensuring products align with market demands and business growth objectives. Collaboration: Great cross-functional collaboration and communication skills, with experience driving alignment between diverse teams and stakeholders. Experience working with remote teams. Innovation Focus: Proven ability to drive product innovation by leveraging client feedback, market insights, and industry trends to develop cutting-edge solutions. Communication: Strong verbal and written communication skills, capable of engaging with technical and non-technical stakeholders, including executive leadership and external partners. Travel: Ability to travel 10-15% of the time Preferred: Experience with identity fraud data, model feedback loops, or graph-based fraud detection tools. Prior work with clients in financial services, fintech, or government sectors. MBA or advanced degree in Computer Science, Engineering, or a related field. 2+ years of building B2B self-service oriented products for both customers and product teams. Demonstrated user-centric approaches from previous experiences, along with ability to work alongside Designers and Engineers Strong influence and cross-functional collaboration skills with the ability to create clarity and drive focus East coast based Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Design and implement real-time billing, usage metering, and reporting systems, and collaborate with cross-functional teams to ensure data integrity and operational efficiency. | Extensive experience in SaaS or B2B product management with a focus on billing, revenue operations, or financial systems, and strong stakeholder management skills. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role Turn product value into revenue and insight. This role owns the zero to one build of Socure’s real time billing, usage metering, entitlements, and reporting on RiskOS. It sits at the center of our hypergrowth engine and connects product innovation to clean revenue, accurate forecasting, and executive level visibility. Work across Product, Engineering, Accounting, Revenue Operations, Finance, and Business Intelligence to create a standardized billing foundation and a reporting layer that leaders and customers trust. What You'll Do Define the billing spec. Create and maintain a standardized billing and metering specification that every Socure product integrates with for consistent monetization and usage capture. Build real time billing. Partner with Engineering to deliver a real time, event driven billing flow in RiskOS, including metering, rating, proration, discounts, bundles, commitments, and overage rules. Lead billing modernization. Drive the migration from legacy systems to the new unified, real-time billing and metering architecture - ensuring data integrity, backward compatibility, and audit continuity. Own entitlements and usage. Design APIs and SDKs that make it simple for product teams to meter usage and enforce entitlements with low latency and high reliability. Report with clarity. Deliver core data products and dashboards for billing, usage, and performance. Provide executive and customer facing reporting that is accurate, timely, and self-serve. Harden the data. Govern data quality, lineage, integrity, reconciliation, auditability, and SLAs for billing and reporting datasets. Integrate the stack. Drive the roadmap for ERP, CPQ, CRM, and payments integrations. Examples include NetSuite, Salesforce, Snowflake, Tableau. Close the loop. Partner with Finance, Accounting, and RevOps on revenue recognition, month end close, forecasting, and dispute reduction. Guide pricing and packaging. Advise PMs on the implications of new products and features. Enable experiments, price plans, discounts, and usage relationships without custom code. Instrument and observe. Establish monitoring, alerting, and error budgets for metering and billing services. Reduce revenue leakage and silent failures. Continuously improve. Identify gaps, propose enhancements, prioritize the roadmap, ship, and measure outcomes. What You Bring 4 to 7 years in product management or a similar role in SaaS or B2B technology with exposure to billing, usage metering, revenue operations, or financial systems. Strong understanding of billing systems and financial data pipelines and how they integrate with product and platform architecture. Proven record working with Finance, Accounting, RevOps, and BI to deliver tools, reporting, or data integrations that changed outcomes. Ability to turn business and operational needs into clear specs, user stories, and acceptance criteria, then drive execution across teams. Familiarity with data modeling, pipelines, and API driven integrations, plus a point of view on reliability and governance. Excellent stakeholder management and communication across technical and non technical teams with influence without direct authority. Analytical mindset with comfort diving into data, finding issues, running root cause, and partnering to fix them. Bonus experience with real time billing, usage analytics, or tools such as NetSuite, Snowflake or Tableau. What Success Looks Like in Year One Real time billing lives in RiskOS, with sub minute metering latency and reliable reporting. Executive and customer facing reporting that is accurate, timely, and used in weekly and monthly business reviews. Month-end-close faster by several days with clear reconciliation and fewer billing disputes. Measurable reduction in revenue leakage and data quality incidents, with strong alerting and on-call health. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Lead and execute recruiting strategies across multiple functions, partnering with stakeholders to ensure a diverse and high-quality talent pipeline, and innovate recruiting processes. | Requires 8-10+ years of experience in talent acquisition or HR, with expertise in workforce planning, recruiting analytics, and managing teams, along with strong communication and stakeholder management skills. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Job Overview The Senior Talent Acquisition Manager is a strategic leader responsible for shaping and executing Socure’s recruiting strategies to meet current and future business needs. This role manages the full-cycle recruitment process across multiple functions—including technical, commercial, and executive roles—ensuring the delivery of best-in-class candidate experiences and diverse talent pipelines. Acting as a talent advisor, this individual partners directly with key business stakeholders, influences workforce planning, builds Socure’s employer brand, and leads process and technology innovation within TA. The Senior Talent Acquisition Manager also fosters a culture of excellence, equity, and transparency in alignment with our Leadership Competency Framework. Job Responsibilities Architect and lead recruiting strategies and hiring plans that attract, engage, and retain high-quality talent across all job families and levels. Partner cross-functionally with People Partners, Finance, and business leaders to assess talent needs, align recruiting priorities with business goals, and adhere to budget. Manage full-cycle recruiting, from sourcing and interviewing through selection, ensuring an inclusive and equitable process for all open positions. Drive the design and implementation of recruiting processes, technology platforms, and applicant metrics to maximize team efficiency, scalability, and data-driven decision making. Coach, mentor, and enable recruiters and hiring managers; provide training on best practices and promote the continuous growth of team members. Standardize assessment frameworks, interview guides, and selection criteria that minimize bias and comply with regulatory and internal standards for diversity and integrity. Maintain awareness of market trends in recruiting, talent intelligence, and workforce planning. Job Requirements 8-10+ years of progressive experience in talent acquisition, recruitment, or HR—ideally with expertise managing and developing recruiters and hiring managers, plus significant full-cycle recruiting experience. Proven ability in workforce planning, recruiting analytics, sourcing technology, and candidate assessment methodologies. Project management, stakeholder engagement, and consulting experience, demonstrating strong influence across teams and with C-level leaders. In-depth knowledge of job leveling systems (e.g., Radford), job architecture, compensation benchmarking, and best practices in market-driven rewards. Exceptional communication, coaching, and advisory skills, demonstrating Socure’s core values: inclusivity, integrity, excellence, and continuous improvement. Bachelor’s degree required; advanced degree or professional certifications in HR, Talent Acquisition, or related discipline preferred. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Develop and lead the company's total rewards strategy, manage benefits programs, and advise leadership on compensation practices. | Over 10 years of experience in total rewards, extensive knowledge of compensation and benefits, leadership experience, and familiarity with market trends and legal standards. | Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role This role reports to SVP People and is responsible for shaping and leading the reward strategy of the organization to attract, retain, engage, and motivate employees, as well as advising business leaders on the best practices for total reward processes. Socure’s People team is part of the Financial Operations Center of Excellence organization and we pride ourselves on teamwork, driving outcomes, our commitment to an amazing people experience, and contributing to Socure’s mission to eliminate identity fraud. What You'll Do Develop and lead the Company’s comprehensive strategy for Total Rewards using compelling and equitable compensation and benefits programs aimed at attracting and retaining world-class talent in a competitive environment and across multi-disciplines Provide strategic direction, planning, and requirements to execute the design, implementation, communication, and administration of the company's compensation programs; including annual short- and long-term incentives, health and welfare benefits, retirement plans executive compensation Manage relationships with benefits brokers, oversee the design, communication, and administration of employee benefit programs, including health, wellness, retirement, and other perks. Lead a Total Rewards team to manage benefits programs, including health, dental, vision, life insurance and evaluate current benefit offerings and recommend improvements to align with needs and market trends Ensure alignment with Socure’s principles, roadmap and compliance with legal and regulatory standards Continuously evaluate the effectiveness of our rewards programs to ensure they are aligned with our business and talent strategies and monitor market trends to make recommendations for changes, as appropriate Partner with commercial/market facing leaders to define the strategy and design of sales incentive compensation plans. Collaborate with HR and executive leadership to ensure pay equity and fairness across the organization. Oversee audits and reporting as needed for compensation and benefits programs Champions a strong partnership with HRIS to define requirements, process guidance and continued enhancement and automation of compensation system modules and planning. Provide C suite executives and board members with the ongoing management of Socure’s equity program and practices. This includes competitive positioning, geographic and functional differences, sustainability, and considerations for employee liquidity. Manage year-end and mid-year compensation processes (including merit, promotions, equity, etc). Conduct regular compensation benchmarking to ensure that salary structures, bonuses, and other incentives are competitive in the market. Develop and deliver communication strategies to effectively educate employees about total rewards programs. What You Bring 10+ years of related work experience leading total rewards, expert technical knowledge within their functional area(s), and typically 7+ years management experience. Extensive hands-on experience with Executive Compensation, Sales Compensation, Equity Programs, PreIPO Stage Companies, Market Benchmark Surveys and Benefits/Retirement Strategy. Strong consultative skill sets and builder mentality to align total rewards with the business needs. Experience in financial technology and global organizations preferred. Experience in WorkDay Implementation, and Compensation Modules within WorkDay a plus. Skills and competencies include direction setting, analytical translation, benefits and rewards, business advisory, co-creation of strategy, employee health and compensation programs. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Develop and implement multi-platform social media and content strategies, manage executive social presence, leverage AI tools, collaborate cross-functionally, and analyze performance metrics. | 4-6+ years in B2B SaaS marketing with proven multi-channel social media management, AI tool usage, strong writing and storytelling skills, and experience in fast-paced environments. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! About the role The Sr. Content and Social Media Marketing Manager is responsible for building and supporting a comprehensive social media and content strategy that aligns with the company's brand and growth objectives. This role will collaborate with the Director of Content Marketing to elevate Socure’s social presence by bringing fresh ideas, leveraging AI-powered tools, and applying strong writing and storytelling skills to drive audience growth and engagement. While LinkedIn remains a priority channel, this role will also expand Socure’s reach across broader platforms, including Substack, Reddit, Product Hunt, and emerging communities. In addition to social media, this role will contribute to short-form content such as blogs, infographics, newsletters, and website copy. Responsibilities Develop and implement a cohesive, multi-platform content and social strategy that supports the company’s overall marketing goals. Expand Socure’s presence beyond LinkedIn, cultivating audiences on channels such as Substack, Reddit, Product Hunt, and other niche or emerging communities relevant to our market. Leverage AI-powered tools (for content creation, insights, trend analysis, and campaign optimization) to enhance efficiency and creativity while maintaining brand authenticity. Create and curate high-quality, engaging content across platforms, including written posts, infographics, videos, newsletters, and other multimedia formats. Manage and grow the company’s LinkedIn page, fostering community engagement and supporting executive thought leadership initiatives. Ramp up and evolve Socure’s employee advocacy program to increase reach, consistency, and brand amplification. Collaborate with cross-functional teams (Product, Sales, Customer Success, etc.) to ensure content alignment and maximize distribution opportunities. Partner with Product and Growth teams to amplify launches on platforms like Product Hunt, ensuring strong positioning and engagement. Monitor, analyze, and report on key social and content metrics to measure effectiveness and inform strategy refinements. Stay current with industry trends, platform innovations, AI advancements, and best practices in social and content marketing. Contribute to broader content marketing campaigns, including podcasts, video series, and thought leadership assets. Qualifications 4–6+ years of experience in brand, content, or digital marketing, preferably in a B2B SaaS technology company within identity, fraud prevention, cybersecurity, fintech, or financial crime. Proven success in managing and growing multi-channel social strategies (LinkedIn, Substack, Reddit, Product Hunt, etc.). Experience using AI tools for content ideation, production, audience insights, and workflow automation. Strong writing, editing, and storytelling skills tailored to diverse audiences and platforms. Experience building and managing executive social presence and thought leadership. Demonstrated ability to analyze and act on social media and content performance data. Skilled in social media management tools such as Sprout Social (or similar). Strong project management skills; thrives in fast-paced, deadline-driven environments. Bonus Points Domain expertise in fraud, identity, risk, fintech, or cybersecurity. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Develop and execute multi-platform social media and content strategies to grow brand presence and engagement, leveraging AI tools and collaborating cross-functionally. | 4-6+ years in B2B SaaS marketing within fintech/cybersecurity, experience managing LinkedIn and emerging platforms, AI content tool proficiency, strong writing and project management skills. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! About the role The Sr. Content and Social Media Marketing Manager is responsible for building and supporting a comprehensive social media and content strategy that aligns with the company's brand and growth objectives. This role will collaborate with the Director of Content Marketing to elevate Socure’s social presence by bringing fresh ideas, leveraging AI-powered tools, and applying strong writing and storytelling skills to drive audience growth and engagement. While LinkedIn remains a priority channel, this role will also expand Socure’s reach across broader platforms, including Substack, Reddit, Product Hunt, and emerging communities. In addition to social media, this role will contribute to short-form content such as blogs, infographics, newsletters, and website copy. Responsibilities • Develop and implement a cohesive, multi-platform content and social strategy that supports the company’s overall marketing goals. • Expand Socure’s presence beyond LinkedIn, cultivating audiences on channels such as Substack, Reddit, Product Hunt, and other niche or emerging communities relevant to our market. • Leverage AI-powered tools (for content creation, insights, trend analysis, and campaign optimization) to enhance efficiency and creativity while maintaining brand authenticity. • Create and curate high-quality, engaging content across platforms, including written posts, infographics, videos, newsletters, and other multimedia formats. • Manage and grow the company’s LinkedIn page, fostering community engagement and supporting executive thought leadership initiatives. • Ramp up and evolve Socure’s employee advocacy program to increase reach, consistency, and brand amplification. • Collaborate with cross-functional teams (Product, Sales, Customer Success, etc.) to ensure content alignment and maximize distribution opportunities. • Partner with Product and Growth teams to amplify launches on platforms like Product Hunt, ensuring strong positioning and engagement. • Monitor, analyze, and report on key social and content metrics to measure effectiveness and inform strategy refinements. • Stay current with industry trends, platform innovations, AI advancements, and best practices in social and content marketing. • Contribute to broader content marketing campaigns, including podcasts, video series, and thought leadership assets. Qualifications • 4–6+ years of experience in brand, content, or digital marketing, preferably in a B2B SaaS technology company within identity, fraud prevention, cybersecurity, fintech, or financial crime. • Proven success in managing and growing multi-channel social strategies (LinkedIn, Substack, Reddit, Product Hunt, etc.). • Experience using AI tools for content ideation, production, audience insights, and workflow automation. • Strong writing, editing, and storytelling skills tailored to diverse audiences and platforms. • Experience building and managing executive social presence and thought leadership. • Demonstrated ability to analyze and act on social media and content performance data. • Skilled in social media management tools such as Sprout Social (or similar). • Strong project management skills; thrives in fast-paced, deadline-driven environments. Bonus Points Domain expertise in fraud, identity, risk, fintech, or cybersecurity. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Drive strategic growth in Tier 1 banking & insurance vertical by owning a greenfield territory, managing full-cycle enterprise SaaS sales, building executive relationships, and collaborating cross-functionally. | 7-9+ years enterprise SaaS sales experience with success closing complex deals in identity verification, fraud prevention, or related risk management solutions, preferably in banking or insurance verticals. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! About the Role Socure is seeking a high-performing Enterprise Account Executive, Core to drive strategic growth across our Tier 1 banking & insurance vertical. As an Account Executive, you’ll own a greenfield territory and lead high-impact sales efforts for our AI-powered identity and fraud solutions. This is a rare opportunity to help shape market adoption in a category-defining company. What You’ll Do Own and Expand Greenfield Territory: Identify and drive growth in new verticals where identity, fraud, and risk solutions are mission-critical. Lead Enterprise Sales: Manage full-cycle sales—from prospecting to close—targeting high-value SaaS deals with innovative, fast-growing companies. Strategic Prospecting & Relationship Building: Build and maintain a robust pipeline through outbound efforts and executive-level engagement. Consultative Selling: Align complex technical solutions with customer needs in fraud, analytics, and digital identity. Cross-Functional Collaboration: Work closely with product, engineering, and marketing teams to align on customer needs and influence the product roadmap. Forecasting & Reporting: Deliver accurate pipeline forecasts and support strategic planning. Industry Engagement: Represent Socure at industry events and deepen client relationships through in-person meetings as needed. What You Bring 7–9+ years in enterprise SaaS sales, with a consistent record of closing large, complex deals. Experience selling identity verification, fraud prevention, or related risk management solutions. Demonstrated success in one or more key verticals: tier 1 banking & insurance Ability to drive value-based conversations and craft tailored solutions for C-level stakeholders. Background selling fraud, identity, big data, or security solutions in highly technical environments. Comfortable navigating ambiguity and building scalable processes in high-growth settings. Bonus Points Experience with channel or partnership-based sales models Strong network within relevant vertical markets Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Lead the architecture and development of high-performance, cloud-native Entity Resolution APIs. Design and implement data pipelines and maintain low-latency search APIs to support real-time entity linking. | Candidates should have 8+ years of backend software engineering experience, with expertise in search technologies and cloud-native environments. Strong proficiency in programming languages and experience with distributed systems are essential. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! We are looking for a Staff Backend Engineer to join our Identity Graph team and lead the development of our next-generation Entity Resolution API. This critical component of our platform powers entity linking through advanced search and graph-based intelligence. You’ll work at the intersection of large-scale data processing, real-time search infrastructure, and machine learning-based ranking systems. You’ll be responsible for designing and building both streaming and batch data pipelines that feed into a low-latency Search Cluster (ElasticSearch/Vespa), and for developing scalable, cloud-native APIs on top of this cluster that deliver high-accuracy, high-speed entity linking results. You will collaborate cross-functionally with Data Science, Infrastructure, and Product teams to design scalable APIs, build robust pipelines, and ensure reliable, observable, and performant distributed systems. What You’ll Do Lead architecture and development of high-performance, cloud-native Entity Resolution APIs. Design and implement batch and streaming data pipelines using tools like Kafka, SQS, and Spark to build and update the underlying search index. Build and maintain low-latency search APIs powered by ElasticSearch or Vespa to support real-time entity linking. Collaborate with data scientists to integrate and deploy ranking models to improve search result quality. Own the end-to-end lifecycle of applications deployed on Kubernetes, from development and CI/CD to monitoring and scaling. Conduct performance tuning and debugging of search systems under high throughput and low-latency requirements. Develop tools and metrics to benchmark search quality and system performance. Partner with cross-functional teams in data science, infrastructure, and product to deliver reliable, scalable solutions. System Design: Lead design discussions and planning for backend services that incorporate model inference, SQL/NoSQL and Graph databases. What We’re Looking For 8+ years of backend software engineering experience, with 1+ years in a staff/principal-level role. Expertise in search technologies like ElasticSearch or Vespa, including deployment, tuning, and query optimization. Strong cloud-native experience, especially with AWS services like S3, SQS, Lambda, and Kafka. Proven ability to design, build, and maintain distributed systems handling high-volume data streams and real-time requirements. Deep knowledge of Kubernetes-based application development and deployment. Strong proficiency in one or more backend programming languages (Java, Scala, Go, Python, etc.). Experience benchmarking and deploying machine learning models (ranking, reranking, classification) into production search pipelines. Strong problem-solving, communication, and collaboration skills. Familiarity with SQL/NoSQL and Graph databases Bonus Skills Experience with knowledge graphs, entity resolution, or identity data. Prior work with real-time event processing frameworks. Hands-on experience integrating GraphQL APIs over complex data systems. Exposure to privacy, security, or compliance requirements in identity or fintech environments. Knowledge of Graph Databases and Open Cypher Queries Familiarity with data pipeline frameworks (e.g., Apache Beam, Spark Structured Streaming) is a plus. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Define and drive strategic cross-product initiatives, lead end-to-end product development, secure executive alignment, mentor product managers, and champion go-to-market strategies. | 7-9 years senior-level product management experience in risk & identity, strong leadership and strategic skills, bachelor’s degree (technical preferred), and ability to influence and align stakeholders. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! About the Role As a Staff Product Manager for Cross-Product Initiatives, you will define and drive strategic product initiatives that span across multiple product lines within our RiskOS platform. With a passion for zero-to-one product development, you'll spearhead new strategic use cases, including Advanced Prefill, Age Assurance, and emerging opportunities. Your role is critical in orchestrating cross-functional collaboration between product, data science, engineering, sales, compliance, and marketing to deliver impactful, scalable, and customer-centric solutions. What You'll Do Set a bold, multi-year strategic vision for cross-product initiatives, anticipating future customer needs and leveraging emerging technologies. Lead end-to-end product development from concept through launch, driving innovation in critical new areas such as Advanced Prefill and Age Assurance. Own and refine cohesive, integrated product roadmaps aligned with strategic business objectives and market opportunities. Secure organizational alignment and executive buy-in, ensuring strategic initiatives are effectively communicated and adopted across teams. Mentor and elevate product management talent, fostering a culture of strategic thinking, innovation, and proactive leadership. Partner closely with data science and engineering leadership to establish frameworks that facilitate the seamless integration of cross-product solutions. Champion go-to-market strategies in collaboration with sales, marketing, growth, and customer success teams to ensure solutions achieve maximum customer impact. Translate complex data insights and technological advancements into clear, compelling, and actionable product strategies. What You Bring 7-9 years of experience in product management, product strategy, or related roles, including proven leadership at senior or director level within the risk & identity space. Extensive experience and demonstrated passion for building innovative solutions from the ground up (zero-to-one). Deep strategic expertise across multiple product domains, with recognized thought leadership on emerging trends, technologies, and market opportunities. Proven ability to articulate and execute multi-year product visions and strategic roadmaps that drive significant business impact. Strong leadership skills with a history of successfully mentoring product managers to grow their strategic and operational capabilities. Exceptional executive presence with a demonstrated ability to communicate vision, strategy, and critical initiatives with credibility at all levels of the organization. Strong influencing skills, capable of aligning diverse stakeholders to drive clarity, consensus, and decisive action on complex, cross-functional initiatives. Bachelor’s degree required; technical discipline strongly preferred. Socure is an equal opportunity employer and values diversity of all kinds at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Design, build, and maintain scalable and reliable infrastructure, automate operations, monitor production systems, manage incidents, and improve system performance and security. | 8+ years in SRE/DevOps with proficiency in Python, Java, or Go, Kubernetes, cloud platforms, observability tools, CI/CD pipelines, infrastructure-as-code, and strong collaboration skills. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! Job Overview We are looking for a Site Reliability Engineer (SRE) who will be supporting our Identity Graph initiatives. Identity Graph Intelligence at Socure builds and maintains the core layer that connects and resolves identities across billions of data points. Our work powers Socure’s industry-leading identity verification and fraud prevention solutions by creating a unified, accurate, and real-time view of individuals. The team focuses on scalability, reliability, and advanced data engineering to support mission-critical applications for our customers At Socure, you’ll join a high-performing engineering team dedicated to driving the reliability, scalability, and performance of our systems. You will collaborate cross-functionally with software engineers, technical support, and security teams to build and maintain robust, automated, and resilient infrastructure powering our critical applications. SREs play an essential role in architectural decision-making, incident response, and promoting a culture of continuous improvement, automation, and operational excellence. What you'll do: • Design, build, and maintain scalable infrastructure to support high availability and performance. • Develop tools and automation to eliminate manual operations and increase system reliability. • Monitor production systems, respond to incidents, conduct root cause analyses, and lead post-mortem reviews. • Collaborate with development and platform teams to implement best practices for deployment, observability, and reliability. • Drive incident management and participate in an on-call rotation to ensure 24/7 availability for mission-critical platforms. • Establish and improve SLAs, SLOs, and SLIs to track and enhance system reliability and performance. • Champion a culture of continuous improvement, resilience, and automation across engineering and operations. • Build and maintain CI/CD pipelines and infrastructure-as-code to streamline deployments and accelerate development cycles. • Develop monitoring dashboards and alerts using tools such as Prometheus, Grafana, Datadog, or Splunk. • Support security and compliance efforts by implementing infrastructure hardening and best practices aligned with frameworks (SOC 2, ISO 27001). • Mentor junior engineers and act as a technical resource for improving reliability within cross-functional teams. What you bring: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 8+ years of experience in software development, site reliability engineering, DevOps, or infrastructure engineering—preferably in high-scale, high-availability environments. • Proficiency in programming/scripting languages (Python, Java, Go, Bash, or Terraform). • Proven hands-on experience building tools and automation for infrastructure and operations. • Deep understanding of microservices architecture, RESTful APIs, and cloud platforms such as AWS • Expertise in Kubernetes, Docker, and container orchestration in production environments. • Experience with observability tools (Prometheus, Grafana, Datadog, ELK stack). • Strong knowledge of distributed systems, performance optimization, and operational excellence. • Experience with SQL and NoSQL databases, caching layers, and troubleshooting complex production issues. • Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD, CircleCI) and infrastructure-as-code (Terraform). • Solid understanding of networking, security, and compliance frameworks. • Excellent communication and collaboration skills; able to work effectively across engineering, operations, and support teams. • Strong problem-solving skills, detail orientation, and a proactive mindset for continual reliability improvement. Socure is an equal opportunity employer and values diversity of all kinds at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Lead and mentor a team of data scientists to develop advanced AI/ML fraud detection and risk assessment models using multiple data modalities. | Advanced degree with proven experience in deep learning model development and deployment, team management, and expertise in Python and ML frameworks. | Why Socure? At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us! We are seeking a highly skilled and collaborative Senior Manager, Data Science – Fraud & Risk to join our team. In this role, you will lead and inspire a diverse group of data scientists to develop advanced AI/ML solutions for fraud detection, risk assessment, and identity verification. You will play a pivotal role in architecting state-of-the-art deep learning models across multiple data modalities, directly impacting the security and integrity of our clients’ digital ecosystems. What You'll Do Lead, mentor, and grow a high-performing team of data scientists, fostering a collaborative and inclusive culture. Design, implement, and optimize advanced deep learning model architecture, such as transformers, CNNs, and LSTMs, to solve real-world fraud and risk challenges. Drive the development of machine learning models using a wide range of data types and input modalities, such as tabular data, natural language, point clouds, and images. Champion feature discovery, feature engineering, and data mining initiatives to extract valuable signals from complex and high-dimensional datasets. Collaborate with cross-functional teams including product, engineering, and client-facing teams to deliver robust, scalable AI solutions. Ensure best practices in ML model development, evaluation, deployment, and monitoring. Stay at the forefront of advancements in AI, machine learning, and fraud/risk prevention technologies, incorporating emerging techniques into our solutions. Represent Socure as a subject-matter expert in external and internal forums as needed. What You Bring Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related field. Proven, hands-on experience developing, training, and deploying deep learning models, such as transformers, CNNs, and LSTMs, in a production environment. Demonstrated experience working with multiple data modalities, including (but not limited to) tabular data, language/text, point clouds, and images. Strong track record of managing, mentoring, and developing diverse teams of data scientists. Deep understanding of machine learning best practices, data preparation, model evaluation, and deployment pipelines. Expertise in feature discovery, feature engineering, and data mining techniques. Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications Experience in the fraud prevention, risk management, fintech, or identity verification space is a strong plus. Please note: We cannot offer sponsorship now or in the future for this opening Socure is an equal opportunity employer and values diversity of all kinds at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook