Fetch

You would manage the Ads Platform's operational foundation, building data pipelines and supporting model deployment, monitoring, reliability, and retraining. | The role requires 5+ years operating production ML systems and proficiency in Python, SQL, Spark, Kubernetes, Terraform, and modern data lake architectures. | ABOUT THE ROLE Fetch is entering its AI-first era, building the intelligent systems that power personalization, relevance, and ranking across our Ads Platform. These systems help Fetch deliver more relevant, adaptive, and high-performing experiences for millions of users while creating measurable value for advertisers. As a Senior MLOps Engineer, you’ll own the operational foundation that brings ranking and recommendation models from experimentation into reliable production systems. You’ll partner with Data Science, Product, Platform, and Engineering across the full model lifecycle, including reproducible training, validation, deployment, versioning, monitoring, retraining, and retirement. This is a hands-on technical leadership role operating at the intersection of ML infrastructure, personalization, and large-scale distributed systems. You’ll build reusable pipelines, strengthen observability and real-time learning workflows, establish architectural and reliability standards, and make model health and progress accessible through a shared model hub. Your work will enable Fetch’s Ads Platform to become smarter, faster, and more responsive to changing user behavior over time. ROLE RESPONSIBILITIES * Own the complete model lifecycle from experimentation through validation, deployment, versioning, retraining, rollback, and retirement. * Establish clear model promotion criteria, release processes, and rollback paths that enable teams to ship improvements confidently. * Design and build scalable ML data and feature engineering pipelines, including feature generation, historical aggregations, and training dataset construction, using Spark/PySpark and modern lakehouse technologies such as S3 and Apache Iceberg. * Develop reliable, incremental data processing pipelines with support for data quality validation, lineage, point-in-time correctness, and training-serving feature consistency. * Build monitoring for data quality, drift, prediction quality, service reliability, latency, and infrastructure cost. * Partner with data scientists to define meaningful offline and production evaluation signals, including for use cases with delayed outcome labels. * Use production evidence to improve model performance, platform reliability, deployment speed, and infrastructure efficiency. * Build reusable training, evaluation, and deployment pipelines that support multiple models and modeling approaches. * Develop dependable orchestration workflows covering dependencies, scheduling, retries, backfills, and failure recovery. * Translate scientific requirements into maintainable production systems with clear interfaces, ownership, and operational expectations. * Build and maintain an accessible model hub connecting model documentation, evaluation results, release history, versioning, and monitoring. * Create tested CI/CD workflows, reproducible environments, actionable alerts, incident-response procedures, and operational runbooks. * Define MLOps priorities in partnership with Data Science and Engineering, identifying risks before they become production issues. * Establish reusable engineering standards, mentor teammates, and reduce the operational burden placed on data scientists. MINIMUM REQUIREMENTS * 5+ years of experience building and operating production ML systems beyond initial deployment, including monitoring, retraining, incident response, and continuous improvement. * Strong production software development skills in Python and proficiency with SQL. * Hands-on experience with Spark/PySpark for large-scale distributed data processing, including feature engineering, historical aggregations, incremental processing, and training dataset construction. * Experience with modern data lake or lakehouse architectures, including S3, Apache Iceberg, or equivalent technologies. * Experience with a workflow orchestration engine for scheduling, dependency management, retries, backfills, and recovery. * Hands-on experience building infrastructure with Terraform. * Experience deploying and operating containerized production workloads on Kubernetes. * Experience building reusable training, evaluation, or deployment infrastructure used by multiple models, scientists, or teams. * Experience implementing model and dataset versioning, experiment tracking, lineage, and reproducible releases. * Ability to distinguish service or infrastructure failures from changes in model effectiveness. * Experience building CI/CD pipelines, monitoring, alerting, rollback mechanisms, and recovery procedures for production ML systems. * Demonstrated ability to balance model quality, delivery speed, reliability, and infrastructure cost. * Strong cross-functional communication and experience partnering with data scientists to preserve scientific validity as models move into production. * Ability to explain a production incident or model degradation issue, how it was detected, and what improvements followed. PREFERRED REQUIREMENTS * Experience developing platform services, infrastructure, or internal tooling in Go. * Experience building or owning a model registry, model hub, or similar system used by technical and nontechnical stakeholders. * Experience supporting ML systems where outcome labels are delayed or model quality cannot be measured immediately. * Track record of improving deployment speed, model quality, system reliability, infrastructure cost, or manual operational effort. * Experience designing configurable ML infrastructure that supports several modeling frameworks or approaches. * Evidence that reusable infrastructure, standards, or documentation were adopted across multiple teams. * Experience mentoring engineers or data scientists and influencing technical priorities across an ML portfolio. * Experience working in environments with sensitive information and designing documentation or monitoring around appropriate access boundaries.

You would lead services for defining, scoring, and delivering advertising audience segments and partner with Data Science to operationalize predictive models and maintain reproducible data workflows. | The role requires 12+ years of software engineering experience focused on data-intensive products and distributed systems, with technical leadership and experience operationalizing machine-learning systems. | Meet Fetch Engineering At Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Our engineers are comfortable navigating ambiguity, understanding tradeoffs, gathering context, and turning uncertainty into progress while maintaining high technical standards. Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work. We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact. About the Role: Fetch is building the capabilities to turn purchase insights into a scalable audience business. We want to help advertisers reach both known buyers and prospective customers through predictive and lookalike audiences, combining Fetch’s purchase data with licensed identity and attribute data to expand reach beyond our existing users. We’re looking for a hands-on Staff Software Engineer to lead the engineering behind these products. You’ll partner with Data Science, Product, and Data Platform to take audience models from prototypes to reliable products that partners can activate through their advertising platforms. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:  * Build the audience lifecycle. Develop services and workflows for defining seed audiences, incorporating identity and attribute data, scoring eligible populations, validating membership, refreshing segments, and delivering audiences to partners and DSPs. * Bring predictive and lookalike models into production. Partner with Data Science to build repeatable training, evaluation, deployment, and batch-scoring workflows. Make it straightforward to introduce new models, compare versions, and refresh audiences as data and behavior change. * Make audience activation reliable. Integrate identity mappings and partner-specific delivery requirements. Track how audience coverage changes through matching and delivery, diagnose losses, and build repeatable integrations that support additional partners. * Build quality and operational controls into the product. Version datasets, models, and audience definitions so results are reproducible. Implement monitoring, quality checks, safe retries, corrections, and access controls, including enforcement of data-use restrictions. * Lead technical execution across the domain. Shape the audience engineering roadmap, make architecture and build-versus-reuse decisions, and guide other engineers through delivery. Build on shared ingestion, storage, orchestration, and governance capabilities with the core Data Platform team. Minimum Requirements: * 12+ years of professional software engineering experience, including ownership of data-intensive products from design through production adoption. * Strong coding, API design, data modeling, and distributed-systems skills. * Experience operationalizing ML or predictive systems, including data dependencies, evaluation workflows, deployment, batch scoring, and monitoring. * Demonstrated experience setting technical direction for an engineering domain, aligning teams around architecture and priorities, and leading complex initiatives from ambiguous requirements through production adoption. * Experience making and evolving architectural decisions for production systems, balancing near-term delivery with long-term reliability, scalability, operating cost, and maintainability. * Ability to explain technical tradeoffs, build agreement across teams, and resolve dependencies and ownership boundaries. * Experience increasing the effectiveness of other engineers through design reviews, mentoring, technical standards, and breaking complex initiatives into work that multiple engineers can deliver. * A track record of delivering measurable outcomes and using production results to guide improvements. * Experience with identity resolution, audience activation, adtech, or partner data integrations. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Own the technical direction and delivery of a data-product domain, building and operating production services and workflows while partnering across teams and mentoring engineers. | Requires 15+ years of software engineering experience, architectural leadership, ownership of data-intensive products, large-scale production systems, and advertising or related data-product experience. | Meet Fetch Engineering At Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Our engineers are comfortable navigating ambiguity, understanding tradeoffs, gathering context, and turning uncertainty into progress while maintaining high technical standards. Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work. We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact. About the Role: Fetch is expanding its data business to help brands understand what consumers buy, reach relevant shoppers, and measure whether advertising drives incremental purchases. We’re hiring a technical leader to build the software behind these products, from creating and delivering audiences to running repeatable measurement workflows. You’ll help turn early capabilities into products that partners can evaluate, integrate, and use at scale. This is a Principal-level individual contributor role on the software engineering ladder within our Data organization, reporting to the VP of Data. You’ll combine hands-on software development with architectural ownership and technical leadership, guiding a significant product or platform domain from early exploration through production. You’ll work closely with Engineering, Data Science, Product, and our go-to-market teams to determine what to build, validate it with partners, and establish the systems needed to support a growing business.  You’ll tackle problems such as turning a purchase-based audience into a repeatable creation, scoring, and delivery workflow; building measurement pipelines that produce reproducible partner results; and making new partner integrations faster through reusable services and APIs. We’ll agree on your initial area of ownership during the interview process, based on business priorities and your experience This is a full-time role that can be held from one of our US offices or remotely in the United States. What you’ll do at Fetch:  * Own technical direction and delivery. Define the architecture and implementation approach for a significant area of Fetch’s off-platform data business. Lead work from problem definition and proof of concept through production delivery and ongoing improvement. * Build and operate production software. Design, implement, and maintain the services, APIs, and processing workflows behind our data products. Work with Core Data Platform to build on shared ingestion, storage, orchestration, and trusted data assets. Establish clear interfaces and ownership so product teams can extend these capabilities without duplicating foundational infrastructure * Turn evolving needs into concrete solutions. Partner with Product, Sales, and external partners to clarify requirements, test assumptions, and translate feedback into practical engineering decisions. * Make sound architectural tradeoffs. Balance delivery speed, scalability, reliability, and maintainability, choosing solutions appropriate to the product’s stage and partner commitments. * Bring data science into production. Partner with data scientists to turn audience models and measurement methods into reliable software. Build repeatable data preparation, scoring, evaluation, and delivery workflows, with clear versioning, monitoring, and recovery mechanisms. Jointly define production acceptance criteria, balancing scientific validity, partner requirements, runtime, and cost. * Improve data quality and reliability. Build validation, monitoring, and operational safeguards that help ensure accurate, dependable outputs and meet agreed partner service levels. * Lead through technical influence. Align engineers and cross-functional partners on design decisions, resolve dependencies, and guide implementation across the teams contributing to your domain. * Raise the engineering bar. Mentor engineers, provide thoughtful design and code reviews, and establish patterns that help a growing team build and operate these systems effectively. Minimum Requirements: * 15+ years of software engineering experience, including setting technical strategy, leading architectural decisions across organizations, and driving initiatives with company-level impact. * Demonstrated ownership of a data-intensive product from an ambiguous problem or prototype through production launch and sustained customer or partner use. You can explain the architectural decisions you made, what changed after launch, and how you measured reliability, adoption, and business value * A track record of building and operating production software, with direct ownership of consequential architectural decisions and delivery outcomes. * Experience building advertising platforms, audience products, measurement or attribution systems, demand-side platforms, or closely related data products. * Strong software engineering fundamentals, including system design, backend development, testing, and production operations. * Experience designing systems that process substantial volumes of data, with an understanding of data quality, performance, reliability, and operational tradeoffs. * Demonstrated technical leadership of complex initiatives involving multiple engineers or teams, including setting direction, guiding implementation, and resolving technical disagreements. * The ability to move work forward when requirements are incomplete, form informed technical opinions, and adjust your approach as new evidence emerges. * Strong product judgment and the ability to connect technical decisions to partner needs, product adoption, and business outcomes. * Clear communication with technical and nontechnical stakeholders, including the ability to explain trade-offs and challenge requirements constructively. Preferred Requirements: * Experience bringing machine learning models into production in partnership with Data Science. * Familiarity with audience expansion, lookalike modeling, or predictive systems used in advertising. * Knowledge of statistics, anomaly detection, or techniques for identifying and addressing data quality issues. * Experience integrating data products with advertising platforms or external partners. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

You would drive new partner acquisition through outreach and proposals, grow strategic accounts, mentor team members, and incorporate AI-driven sales processes. | You need a bachelor's degree and at least eight years in sales, partnerships, or digital media, with a strong understanding of advertising KPIs. | About the Role This is an Account Executive role. The Partner Director independently drives client outreach/prospecting and proposals, and actively works to convert net new partners to the Fetch platform. This role contributes directly to revenue through individual and pod quota ownership. As a seller at Fetch, you’ll own complex sales cycles from outreach through close, identify opportunities, craft proposals, and build trusted mid to executive-level relationships. You’ll partner with Account Managers to expand partnerships and collaborate with senior team members to refine your approach. You’ll adopt AI-driven sales strategies, using advanced tools for executive storytelling, predictive modeling, competitive position, and long-range planning. You’ll mentor others while shaping AI-enabled strategies and processes. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities * Engage high-profile prospects by sending sales outreach, preparing briefs, and representing Fetch at high-impact industry events * Drive thought leadership about Fetch and AI’s role in loyalty, commerce, and media * Generate revenue by actively converting partners and prospects into long-term strategic relationships, securing long-term revenue commitments * Independently articulate Fetch’s value proposition and ad products * Strategically plan and grow accounts from test to full partnership, utilizing AI to make performance predictions, investment path modeling, streamline revisions, format outputs, and visualize data-backed recommendations * Interpret and articulate various data sets and use tools to generate insights. This  may include AI-powered dashboards, market intelligence platforms, and campaign optimizers * Own the development and continuous improvement of strategic playbooks, best practices, and onboarding tools for the team, building frameworks that embed AI into standard Fetch sales processes across verticals * Develop creative solutions to address complex sales challenges and unlock revenue opportunities, applying AI to design, test, and refine strategic pitches * Independently forecasting for your book of business, both quarterly and annually, with some oversight, leveraging AI-powered sales forecasting and scenario tools as needed for increased precision * Develop gap-to-quota plans, supported by AI-generated forecasts and conversion probability insights * Independently manage Salesforce hygiene, using AI tools to maintain clean records, managing pipelines to identify areas of opportunity/risk, and track conversion * Prioritize and meet both internal and external deadlines * Act as a thought partner to ILs on pod performance, championing scalable, AI-powered workflows * Coach peers by providing feedback, sales planning and strategic pivot. * Work cross-functionally with Industry Leads, Account Managers, and leadership to align strategies and insights into multi-stakeholder projects and partnerships * Play an active role in hiring and shaping Fetch’s partner manager team culture and structure * Demonstrate Fetch's values with a growth mindset, especially toward new tools and AI-assisted workflows * Identify inefficiencies or partner feedback and share them with the pod, leveraging AI tools to solve for recurring issues or speed up repetitive tasks * Share partner feedback and learnings with the team to optimize processes and surface industry trends, leveraging AI tools or competitive intelligence when available * Manage complex organizational structures within partner accounts, leveraging LinkedIn or ZoomInfo, in order to drive executive buy-in Minimum Requirements * 8+ years of experience in partnerships, sales, or a related field * Direct experience in digital media, advertising, or consumer data * Strong organizational and execution skills with the ability to manage multiple priorities * Strong understanding of digital advertising KPIs and how media solutions drive outcomes * Strong communication skills with the ability to collaborate across teams and engage with clients * Bachelor’s degree or equivalent combination of education and experience Preferred Requirements * Experience with Salesforce or other CRM platforms * Client vertical experience * Exposure to analyzing campaign data and presenting insights to stakeholders * Experience working cross-functionally with implementation, analytics, or sales teams * Familiarity with AI-driven decision-support tools (ex. ChatGPT, Gemini AI) or automation tools (ex. Zapier) * Comfort working in dynamic or evolving environments Compensation: The base salary range for this position is $135,000 to $159,000; the on-target earnings range is $236,250 to $278,250. This does not include accelerators or sales plan incentive funds, which employees may also be eligible for). We also offer all employees equity in Fetch. Discover our benefits at https://fetch.com/careers.

You would lead client relationships and strategic campaigns to grow revenue and retention, manage quotas, mentor team members, and use AI-enabled tools to improve performance. | The role requires a bachelor's degree and 8+ years in account management, partnerships, or sales, with direct digital media or consumer data experience and familiarity with AI or automation platforms. | About the Role: The Account Director, Growth Mid-Market leads client relationships and plays a critical role in retention and growth. This role is high-impact, client-facing, and contributes directly to revenue through individual and pod quota ownership.  In this role, you will develop strategic campaigns, build and expand executive relationships, develop expertise in Fetch’s offerings, and apply tools and workflows to improve accuracy and efficiency across your pod. As an experienced account professional, you’ll lead strategic conversations, shape account progression, and coach others while expanding Fetch’s impact. You are expected to leverage AI-enabled tools and workflows to drive efficiencies, improve data accuracy, and enhance client engagement. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:  * Own individual revenue targets and contribute to pod revenue goals * Develop strategies to retain and grow top-tier partnerships, driving strategic long-term partnerships and success * Lead executive-level client relationships as the primary point of contact, facilitating strategic conversations, managing key touchpoints, and building consultative trust through clear communication and consistent follow-through. * Strategize against deadlines and navigate evolving priorities, modeling resilience for the broader team * Oversee client health by monitoring satisfaction, addressing risks early, and surfacing opportunities to expand relationships * Ensure the successful execution of partner deliverables such as campaign performance, one-off requests, and analytics requests.  * Collaborate closely with your sales counterpart to identify optimization opportunities, drive upsells, and expand Fetch’s share of partner budgets using data and trend analysis. * Facilitate the onboarding of new clients and brands, campaign set up, and coordination of materials, so partnerships launch smoothly and expectations are met from the start. Utilize AI-enabled platforms to ensure precision and efficiency.  * Oversee inputs for campaign setup and programming, using standardized workflows and templates to ensure accuracy and minimize errors * Partner with internal teams to track, organize, troubleshoot, and optimize client performance, leveraging AI tools to proactively detect trends or performance risks * Serve as a key internal leader in developing and mentoring new team members. Support AI skill development and AI process adoption across the team * Ensure clients have access to timely reporting to guide budget allocation, leveraging dashboards to improve transparency and decision-making. * Independently provide partners with access to the data and reporting needed to optimize budget allocation and increase spend, using AI-generated dashboards and insights to surface key opportunities * Translate data and performance trends into clear, actionable recommendations for clients. * Independently deliver client presentations and reviews, including QBRs, using AI to translate complex data into clear insights with visual narratives that drive strategic action. * Oversee revenue actualizations and billing processes, ensuring financial records are accurate and compliant * Utilize sales-enablement, AI, automation tools and demonstrate a growth mindset toward adopting new technologies and workflows to increase efficiency * Play an active role in hiring and shaping Fetch’s partner manager team culture and structure * Demonstrate Fetch's values with a growth mindset, especially toward new tools and AI-assisted workflows Minimum Requirements: * 8+ years of experience in account management, partnerships, sales support, or a related field * Direct industry experience in digital media, advertising, or consumer data * Experience driving revenue through renewals, upsells, and client growth conversations * Strong organizational and execution skills with the ability to manage multiple priorities * Expert in analyzing campaign data and presenting insights to clients or internal stakeholders to drive business outcomes * Familiarity with AI tools (ex. ChatGPT, Gemini AI) or automation platforms (ex. Zapier) and creating new AI-enabled processes * Strong communication and collaboration skills * Comfort working in dynamic or evolving environments * Bachelor’s degree or equivalent combination of education and experience Preferred Requirements: * Direct client vertical experience * Experienced with CRM tools (ex. Salesforce) * Experience coaching and collaborating with implementation, analytics, or other cross-functional teams Compensation: * At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $110,700-$124,225.  The on-target earnings range for this position is $166,050-$186,337.  Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Lead an operations analytics team, develop analysts, define KPIs with business leaders, and turn operational data into insights that improve processes and inform strategy. | Requires at least three years in analytics or a related field, one year of leadership, and proficiency in SQL, Snowflake or similar cloud data warehousing, and Tableau or Hex. | About the Role: Operations teams sit on some of the richest data in the company. Every fraud decision, support interaction, partner implementation, and receipt review generates signals about how Fetch is performing and where users and internal teams run into friction. The challenge isn’t collecting that data, it’s making sure it consistently shapes operational decisions. The Operations Data Manager leads the team that turns operational data into insight and action. Reporting to the SVP of Operations, this role leads Fetch’s centralized Operations Analytics team, partnering with leaders across Ad Operations, AI Operations, Platform Integrity, and User Support to define KPIs, build trusted reporting, and surface the trends and anomalies that drive strategy, prioritization, and process improvement. This is more than a people-management role, it is an opportunity to shape how Operations uses data. You will set the team’s operating model, lead and develop a team of Operations Data Analysts, and build the standards and partnerships that make operational analytics a trusted input into decisions. Success is measured by the decisions your team influences, the operational friction your team helps eliminate, and the measurable business outcomes your work supports. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:  Lead the Operations Analytics Capability * Establish and evolve the team’s operating model, including intake, prioritization, and delivery rhythms across the core teams.  * Define team standards for analysis quality, KPI definitions, dashboard design, documentation, and knowledge management. * Own intake and prioritization of analytics requests, balancing ad-hoc needs with longer-term strategic work and setting clear expectations with stakeholders. * Build repeatable mechanisms that turn operational data into prioritized recommendations supported by measurable business impact. Lead & Develop a High-Performing Team * Hire, onboard, coach, and develop a team of Operations Data Analysts. * Create clear goals, quality standards, and development plans for each analyst. * Review the team’s SQL, analyses, and deliverables to ensure accuracy, clarity, and actionable recommendations. * Foster a culture of curiosity, analytical rigor, accountability, and continuous improvement. Partner with Operational Leaders * Partner closely with Operations leaders to understand data needs, define and track KPIs, and design reporting solutions. * Provide insights that inform operational strategy, process improvements, staffing and capacity planning, and day-to-day decision-making. * Communicate findings, trends, and recommendations to cross-functional and senior stakeholders through clear visuals and compelling narratives. * Stay hands-on where needed, contributing to complex analyses and work with new or unstructured data sources. Ensure Trusted, Scalable Reporting * Oversee dashboards and reporting in Hex, Tableau and Grafana, promoting self-service, consistent metric definitions, and early detection of anomalies. * Work with engineering to ensure data quality and reliability, and to scope and prioritize automated data tables and pipelines. * Maintain documentation and team workflows in Confluence, Jira, and Bitbucket so work is repeatable, transparent, and easy to hand off. Measure Operational Outcomes * Define success metrics that connect operational improvements to business outcomes. * Evaluate whether process changes and initiatives delivered their intended results, and close the loop to improve future decisions. Minimum Requirements: * 3+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Strategy, Consulting, or a related field. * 1+ years of experience leading, coaching, and developing analysts or other high-performing teams. * Demonstrated success building team capabilities, standards, or operating models from concept to execution. * Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others. * Experience with Snowflake and familiarity with cloud-based data warehousing solutions. * Experienced with HEX, Tableau or Grafana, with the ability to set standards for intuitive dashboards that communicate insights, enable self-service, and surface anomalies. * Proven ability to synthesize ambiguous or unstructured data with business context to drive strategic recommendations. * Strong communication, facilitation, and stakeholder management skills with senior stakeholders, including defining KPIs and reporting solutions. * Ability to prioritize and manage multiple competing projects and requests, for yourself and for a team. * Knowledge of the Atlassian suite, including Bitbucket, Confluence, and Jira. Preferred Requirements: * Experience in consumer technology, fintech, marketplace, or high-growth digital businesses. * Experience leading analytics for fraud, customer support, or other operational functions. * Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes. * Experience using Python to generate insights. * Experience leveraging AI and automation to improve insight generation and operational effectiveness. What Success Looks Like: Within your first 12 months, you will: * Establish Operations data as a trusted source of insight for AdOps, AIOps, Platform Integrity and User Support.  * Build a high-performing team with clear operating standards, quality bar, and scalable processes. * Create a repeatable intake and prioritization model that balances ad-hoc requests with strategic work. * Align stakeholders on consistent KPI definitions and trusted, self-service dashboards. * Partner with data engineering to improve data reliability and automate recurring reporting. * Influence operational decisions with evidence-based recommendations tied to measurable outcomes. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $135,044 to $158,875. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Lead a team to transform user feedback into actionable product intelligence influencing product strategy and prioritization. | 8+ years in product operations or customer experience with 3+ years leadership, strong communication, and ability to synthesize qualitative and quantitative data. | About the Role: User Support is one of the richest sources of user intelligence in the organization. Every user interaction provides valuable insight into how our products are experienced, where users encounter friction, and where opportunities exist to improve. The challenge isn’t collecting user feedback, it’s ensuring those insights consistently influence product decisions. The Senior Manager of Customer Experience Insights (CXI) is responsible for leading the team that transforms user feedback into actionable product intelligence. Reporting to Director, Support Operations, this role serves as the bridge between User Support and Product, helping ensure the voice of the user informs product strategy, prioritization, development, launch, and continuous improvement. This is more than a leadership role, it is an opportunity to strengthen the Customer Experience Insights capability. You will establish the team's operating model, lead a team of Senior Customer Experience Insights Analysts, and develop the processes and partnerships that enable user intelligence to become a trusted input into product decisions. Success is measured by the product decisions your team influences, the user friction your team helps eliminate, and the measurable business outcomes your work supports. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities: Lead the Customer Experience Insights Capability *  Establish and evolve the Customer Experience Insights team's operating model across the product lifecycle. * Develop scalable processes for collecting, synthesizing, and operationalizing user feedback from support interactions, Voice of user programs, behavioral analytics, and other user feedback channels. * Define standards for the team's user insight generation, user feedback taxonomy, reporting, and knowledge management. * Build repeatable mechanisms that transform user feedback into prioritized product recommendations supported by measurable business impact. Lead & Develop a High-Performing Team * Coach and develop a team of Senior Customer Experience Insights Analysts. * Create clear operating rhythms, quality standards, and development plans for the team. *  Foster a culture of curiosity, analytical rigor, user advocacy, and continuous improvement. * Help establish CXI as a sought-after strategic partner with cross-functional teams. Influence Product Strategy * Partner closely with Product, Engineering, and Growth Marketing throughout the product lifecycle. *  Provide user intelligence that informs product discovery, roadmap prioritization, solution design, launch readiness, and post-release evaluation. * Advocate for user investments using compelling narratives supported by quantitative evidence and operational metrics. * Leverage historical user insights and lessons learned from previous launches to proactively identify user friction before development begins. Measure Product & User Outcomes * Define success metrics that connect user experience improvements to business outcomes. * Evaluate whether product releases reduced user effort, recurring support demand, and operational cost while improving adoption, engagement, and user satisfaction. * Establish closed-loop feedback processes that validate product outcomes and continuously improve future product decisions. Support Organizational Learning * Build and maintain a centralized user intelligence knowledge base. * Capture recurring user behaviors, historical product learnings, and emerging trends to strengthen future planning. *  Leverage AI and advanced analytics to improve insight generation, identify emerging opportunities, and scale the CXI capability. * Demonstrate how Support Operations contributes to product innovation rather than simply reacting to user issues. Minimum Qualifications * 8+ years of experience in Product Operations, Product Management, Customer Experience, Customer Insights, Business Strategy, Support Operations, Consulting, or a related field. * 3+ years of experience leading high-performing teams and developing talent. * Demonstrated success building programs, operating models, or team capabilities from concept to execution. *  Experience influencing product strategy and cross-functional decision-making without direct roadmap ownership. * Strong communication, facilitation, and stakeholder management skills with senior stakeholders. * Proven ability to synthesize qualitative user feedback with quantitative business data to drive strategic recommendations. * Experience leading cross-functional initiatives across Product, Engineering, and Growth Marketing teams Preferred Qualifications *  Experience in consumer technology, fintech, marketplace, or high-growth digital businesses. * Experience leading Voice of Customer, Product Operations, Customer Experience, or Customer Insights teams. * Strong proficiency with SQL, business intelligence platforms, product analytics tools, and User Support technologies. * Experience leveraging AI and automation to analyze user feedback and improve operational effectiveness. What Success Looks Like: Within your first 12 months, you will: * Establish Customer Experience Insights as a trusted source of user intelligence for Product and cross-functional partners. * Build a high-performing team with clear operating standards and scalable processes. * Create a repeatable operating model that embeds user intelligence throughout the product lifecycle. *  Influence product roadmap decisions through evidence-based user recommendations. * Develop leadership reporting that connects user experience improvements to measurable business outcomes. * Reduce recurring user friction by identifying and supporting systemic product improvements. * Build strong partnerships that position Support Operations as a strategic partner to Product rather than a downstream stakeholder.   Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $123,378-$145,150. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Operationalize Voice of the Customer by combining qualitative feedback with data to identify pain points and recommend product improvements. | Minimum three years experience in customer insights or product analytics with strong SQL proficiency and data synthesis skills. | About the Role: User Support is one of the richest sources of user intelligence at Fetch. Every chat, ticket, survey response, and app review reveals how users experience the Fetch app, where friction exists, and where we can make it easier for users to get value from Fetch. As a Senior Customer Experience Insights Analyst, you will operationalize the Voice of the Customer by combining qualitative feedback with behavioral, operational, and experience data. You will independently identify recurring user pain points, investigate their root causes, quantify their impact, and translate the evidence into clear recommendations for improving how users discover offers, submit receipts, earn points, shop, play games, redeem rewards, and get help in the Fetch app. Anchored within Support Operations, you will partner with Product, Engineering, Growth Marketing, Data, and Support leaders to ensure user evidence informs prioritization and decision-making. This role owns the customer evidence, insights, recommendations, and measurement framework while partnering with the teams responsible for solution design and implementation. This is a highly cross-functional role that combines customer advocacy, customer experience analytics, continuous improvement, and storytelling. Success requires strong analytical judgment, exceptional communication, a genuine passion for representing Fetch users, and the ability to influence decisions without direct authority. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities: * Analyze structured and unstructured user feedback across Support interactions, CSAT surveys, app reviews, customer research, and other listening channels to identify emerging trends and systemic pain points. * Combine user feedback with product, behavioral, and operational data to investigate root causes and explain where and why the Fetch experience breaks down. * Quantify the frequency, severity, and business impact of user friction across core Fetch experiences. * Map end-to-end user journeys to identify experience gaps, recurring points of confusion, and opportunities to reduce user effort. * Translate complex customer signals into clear, evidence-based recommendations for product and in-app experience improvements, Support process changes, and policy decisions. * Define hypotheses, data requirements, customer experience KPIs, and measurement approaches that help teams evaluate user and business outcomes. * Develop dashboards, recurring management reporting, and reusable analytical assets that give leaders visibility into customer experience performance and emerging risks, supported by documented metric definitions, quality checks, and a centralized knowledge base of user learnings. * Present executive-ready recommendations supported by both quantitative evidence and real Fetch user stories. * Partner with Product, Engineering, Growth Marketing, Data, and Support leaders to bring customer evidence into discovery, planning, rollout, and post-launch evaluation. * Support the rollout of customer experience initiatives by surfacing experience risks, sharing relevant user insights, and monitoring early feedback and performance. *  Measure whether changes improve user sentiment, usability, satisfaction, loyalty, product adoption, customer effort, and Support demand. What We’re Looking For * Three or more years of experience in Customer Experience, Customer Insights, Product Analytics, Operations Analytics, Support Operations, Product Operations, Consulting, or a related field. * Experience independently combining quantitative data and qualitative feedback to identify trends, investigate root causes, and turn user pain points into actionable recommendations. * Strong proficiency in SQL and experience working with business intelligence or visualization tools to analyze large, complex datasets. * Experience analyzing Support interactions, survey feedback, app reviews, customer research, or other unstructured feedback at scale. * Strong analytical judgment, including the ability to distinguish established findings from hypotheses and clearly communicate assumptions, limitations, and data quality concerns. * Exceptional written, verbal, presentation, and storytelling skills, with the ability to tailor insights for technical, operational, product, and executive audiences. * Experience building authentic cross-functional relationships and influencing prioritization and decisions without direct authority. * The ability to independently structure ambiguous customer experience questions, define an analytical approach, and move from data to insight to recommendation. * Experience using AI and automation to improve the speed, consistency, quality, and scalability of customer feedback analysis. * A genuine passion for representing Fetch users and improving their experience. What Success Looks Like Success in this role is measured by the quality, credibility, and adoption of the customer insights you provide; the experience improvements those insights help inform; and the measurable reduction in user friction, effort, and Support demand. You will help ensure every user interaction becomes trusted, actionable intelligence that strengthens the Fetch app and the overall rewards experience. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $102,000-$120,000. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Lead mixed-methods research to drive growth and partner with cross-functional teams to translate insights into product roadmaps. | 6+ years UX research experience with product strategy focus and ability to own research end-to-end and communicate insights. | THE OPPORTUNITY Fetch is looking for a Staff UX Researcher to lead research for our Consumer Growth collective, uncovering how to make Fetch a rewarding daily habit for millions of users. You will drive research across critical user journeys, including onboarding, activation, and retention (churn prevention), to help teams understand how Fetch can deliver immediate and lasting value. Growth is one of our most vital focuses, and your work will directly shape how millions of people live rewarded in their day-to-day lives. This is a senior individual-contributor role. You will lead through scope judgment, research rigor, clear thinking, and strategic influence.  Moving beyond mere execution, you will help teams frame ambiguous problems, define key hypotheses, and activate insights directly into the product roadmap. This role is for a proactive researcher with a strong product sense who wants to turn deep user understanding into measurable growth outcomes. WHAT YOU’LL DO * Lead generative and evaluative mixed-methods research across the Consumer Growth collective (onboarding, activation, and retention), ensuring insights are cohesive across the entire user journey. * Communicate strategic insights through compelling storytelling, workshops, and clear written summaries, translating complex user behaviors into actionable roadmap recommendations. * Partner closely with Growth Product Managers, Designers, Data Analysts, and Marketing leaders to identify high-leverage research opportunities, shape roadmaps, and influence product priorities. * Gain alignment with design and research leadership to establish research strategy and learning agenda for the Growth area * Triangulate qualitative insights with quantitative data (such as surveys and behavioral analytics) to build clear, decision-ready frameworks that help teams navigate complex experience trade-offs. * Design and analyze research for rapid learning and growth experiments, helping teams evaluate new concepts and onboarding flows without sacrificing user trust or long-term retention. * Enable and democratize research safely by mentoring and guiding designers and PMs to conduct their own evaluative research with the right templates, guidelines, and guardrails. * Raise the bar for research rigor and quality across the Growth area, championing evidence-based decision-making and ensuring user insights are grounded in clear truths. * Standardize research operations, including participant recruitment and tooling, and contribute high-quality findings to the shared research repository to keep insights reusable and accessible. * Utilize AI responsibly to accelerate research workflows, while exercising sound judgment to ensure quality, data responsibility, and human expertise remain at the core of your findings. WHAT SUCCESS LOOKS LIKE In your first 12 months, you will: * Establish a prioritized research strategy and learning agenda for the Consumer Growth collective, collaborating with design and research leadership to define key hypotheses, success metrics, and methodologies to guide product teams. * Influence product roadmaps across critical journeys (onboarding, activation, and retention) by translating complex user behaviors into clear, compelling, and actionable recommendations. * Build a cohesive understanding of the growth funnel by triangulating qualitative insights with behavioral and quantitative data (like survey analytics), creating decision-ready frameworks to help teams navigate complex experience trade-offs. * Scale research impact through enablement, mentoring and guiding designers and PMs to conduct their own evaluative research safely with the right templates, guidelines, and guardrails. * Raise the standard of research craft and quality across the Growth area, contributing high-quality findings to the shared repository, standardizing research operations, and mentoring other team members. * Drive measurable growth outcomes by partnering with product and engineering teams to design and evaluate experiments that improve activation, repeat engagement, and long-term retention without sacrificing user trust. Minimum Requirements: * 6+ years of industry UX research experience, with demonstrated impact on product strategy and roadmaps as a senior individual contributor * Experience communicating research and decision tradeoffs to partners * Mixed-methods fluency: you've independently led qualitative and quantitative research and know how to combine interviews, usability and concept testing, surveys, behavioral data, experiments, and benchmarking to answer strategic questions * Hands-on experience designing and analyzing surveys and interpreting behavioral or experimental data; proficiency with at least one statistical analysis tool and one survey platform, or equivalent approaches * Experience owning research end-to-end, including scoping, planning, participant recruitment, study setup, analysis, synthesis, and activation * Thoughtful experience using AI-assisted tools in the research process, with sound judgment about responsible use, quality, and where human expertise is essential Preferred Requirements:  * Prior Growth or user lifecycle research experience * Experience mentoring researchers or enabling designers and PMs to conduct high-quality evaluative research * Comfortable with working as a research lead in a fast-paced or startup environment * Consumer mobile app, loyalty, or e-commerce experience * A background in psychology, anthropology, cognitive science, HCI, statistics, behavioral economics, quantitative social science, experimental psychology, or a related human-centered or quantitative field ABOUT THE TEAM UX Research at Fetch is a trusted, influential partner. We work closely with Product, Design, Marketing, and Data Analytics to make Fetch a clearer, more trustworthy, and more enjoyable rewards experience. Our work goes beyond supporting roadmaps and evaluation. We define and lead larger studies to make sure the user's perspective is always represented. We set the bar for research rigor, create space for collaborative thinking, and show up in discovery, roadmapping, and product critiques — and we're trusted to drive our recommendations forward, not just hand off a report. We grow by teaching each other. No egos, just people who want to get better and help the people around them do the same.

Define long-term vision for marketing intelligence and translate complex data into actionable business recommendations. | 8+ years in marketing insights with proven team leadership and strong executive communication skills. | About the Role: As Fetch continues to grow across its consumer and partner businesses, Marketing needs a unified understanding of the audiences, markets and cultural forces shaping growth. The Director, Marketing Insights will define how audience, consumer, cultural and market intelligence informs strategy across Fetch Marketing. This role will set the long-term vision and operating model for Marketing Insights, connecting first-party behavioral data, third-party research, audience research, social intelligence, cultural signals and market intelligence into actionable business decisions. Working across Brand, Consumer Marketing, Product Marketing, Growth Marketing, Partner Marketing and The Rewards Lab, this leader will help Marketing understand who we should reach, where we can grow and what matters next. This is more than a research function. The Director will establish the strategic questions Marketing should be asking, build the capabilities to answer them and translate intelligence into recommendations that influence audience strategy, positioning, campaign direction, investment and growth. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:  Market Insights Strategy & Audience Intelligence * Define the long-term vision, strategy and roadmap for the Marketing Insights function. * Establish a shared Marketing framework for audience segmentation, personas, audience research, behavioral intelligence, cultural intelligence and TAM. * Integrate first-party behavioral data, third-party research, social intelligence, qualitative insights and market signals into a differentiated view of Fetch’s audiences and markets. * Anticipate emerging audience, cultural, competitive and market shifts and proactively identify the opportunities and risks that matter most. * Determine the research capabilities, methodologies, data sources, technology, AI-enabled tools and external partnerships needed to support Marketing’s evolving intelligence needs. Strategic Marketing & Data Storytelling * Shape marketing strategy by translating intelligence into recommendations that influence audience prioritization, positioning, go-to-market strategy, campaign direction and Marketing investment. * Advise Marketing leadership on trade-offs across audiences, initiatives, markets, and investment opportunities, balancing consumer opportunity, business impact, brand considerations, cost and risk. * Partner across Brand, Consumer Marketing, Product Marketing, Growth, Partner Marketing and The Rewards Lab to embed insights into planning and decision-making. * Transform proprietary data and research into compelling narratives that strengthen Fetch’s B2C and B2B storytelling and differentiation. * Partner with teams responsible for external insight programs, including Fetch Finds, contributing proprietary audience and market intelligence that strengthens their work. * Bring an independent, evidence-based point of view to annual planning, major initiatives and strategic decisions. Organizational Leadership & Capability Building * Design and scale the Marketing Insights organization, establishing clear ownership across audience, research, social intelligence and related capabilities. * Build the right mix of internal talent, external partners, syndicated research, technology and AI-enabled capabilities based on business value and strategic need. * Embed insights into Marketing’s planning, campaign, positioning, audience prioritization and investment processes through repeatable frameworks and operating mechanisms. * Develop and lead a high-performing team, creating leadership depth and enabling the organization to scale beyond individual contributors. * Establish standards for quality, rigor and effective use of insights across Marketing. What Success Looks Like:  * Establish Marketing Insights as a trusted strategic capability across Brand Experience. * Drive measurable changes in audience strategy, positioning, campaign direction, investment priorities and growth decisions through evidence-based insights. * Create a differentiated, proprietary understanding of Fetch’s audiences, markets and cultural context. * Embed shared audience and market intelligence into Marketing planning and decision-making. * Build a scalable Insights organization with strong systems, clear ownership and leadership depth. Qualifications: * 8+ years of experience in marketing insights, audience strategy, consumer insights, market research, strategic planning, analytics or a related discipline. * Demonstrated experience leading or building an Insights, Audience Strategy, Consumer Insights or Market Research function. * Deep experience with audience segmentation, personas, audience research, market intelligence and strategic frameworks. * Proven ability to synthesize first-party data, third-party research, cultural intelligence and market signals into executive-level recommendations. * Demonstrated experience influencing senior leaders and translating insights into meaningful marketing or business decisions. * Experience prioritizing an Insights portfolio, allocating resources and managing external research partners or vendors. * Demonstrated success building and developing high-performing teams and future leaders. * Strong executive communication, storytelling and strategic problem-solving skills. * Curiosity about people, culture, markets and the behaviors that shape business growth.   Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $146,200-$172,000. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Lead technical direction for CI/CD systems and developer infrastructure to improve software delivery speed and reliability. | 8+ years software engineering experience with expertise in CI/CD, DevOps, platform engineering, cloud infrastructure, container orchestration, and leadership of cross-team initiatives. | Meet Fetch Platform Engineering Platform engineering at Fetch is grounded in service to developers, strong ownership, and purposeful innovation. Rather than building end-user features, platform engineers focus on the foundations that other teams rely on, spanning core systems, architecture, automation, and developer workflows. This work lives in complex problem spaces where the right answer is rarely obvious. Our engineers navigate ambiguity with data and sound judgment, understand tradeoffs, and partner closely across product and engineering to solve problems that scale. We maintain a high technical bar and value practicality, curiosity, and continuous improvement. This is an environment for builders who enjoy shaping durable platforms, improving developer experience at scale, and enabling teams across Fetch to ship with confidence. About the Role: We are hiring a Staff Software Engineer focused on CI/CD Engineering to help evolve the systems, infrastructure, and developer workflows that power software delivery across Fetch. You will improve the tools and pipelines that power our releases. This includes surfacing meaningful feedback for developers, optimizing CI performance, improving testing and quality gates, and building automation that makes shipping code faster and safer. This is a generalist platform engineering role with a strong DevOps and infrastructure orientation. You will work across backend, mobile, frontend, platform, infrastructure, and developer tooling rather than specializing in a single application stack. At the Staff level, your impact will extend beyond implementing individual pipelines or tools. You will identify systemic bottlenecks across the software development lifecycle, establish technical direction, influence engineering standards, and lead multi-quarter initiatives that improve how hundreds of engineers build, test, and deploy software. You will partner closely with engineering teams to understand friction in their workflows and build scalable solutions that improve developer velocity while maintaining a high bar for reliability and quality. This is a full-time role that can be held from one of our US offices or remotely in the United States. What you’ll do at Fetch (Role Responsibilities):  * Set technical direction for CI/CD systems and software delivery infrastructure across Fetch. * Own the CI/CD roadmap over multiple quarters, aligning investment with org priorities, cost tradeoffs, and engineering strategy, and making the case for where to invest and where not to. * Design, build, and evolve scalable CI pipelines, deployment systems, and developer automation. * Improve feedback loops by making build failures, test results, quality signals, and deployment health easier for developers to understand and act on. * Identify and eliminate bottlenecks across build, test, merge, deployment, and release workflows. * Improve CI performance through caching, parallelization, workload optimization, infrastructure improvements, and thoughtful test execution strategies. * Design quality gates and automated safeguards that allow teams to move quickly without compromising reliability. * Build tools and platform capabilities that standardize common software delivery patterns while allowing teams to move independently. * Partner with infrastructure, SRE, security, backend, frontend, and mobile engineers to improve the reliability and scalability of our software delivery systems. * Establish metrics and observability for CI/CD systems, including developer feedback time, pipeline reliability, infrastructure utilization, and deployment performance. * Evaluate build-vs-buy decisions and introduce new technologies when they provide meaningful improvements over existing solutions. * Lead complex, cross-team technical initiatives from problem definition through adoption. * Drive adoption of new tools and workflows through documentation, technical guidance, training, and hands-on collaboration. * Mentor senior and staff-level engineers, and establish feedback loops, review standards, or coaching practices that raise the technical bar for platform, infrastructure, and developer productivity engineering across teams. * Explore how AI and agentic development workflows can improve build, test, review, deployment, and operational processes. In your Toolbox (Minimum Requirements): * 8+ years of software engineering experience, including significant experience building or operating CI/CD, developer infrastructure, platform engineering, DevOps, or related systems. * Demonstrated Staff-level technical leadership, including leading ambiguous initiatives that span multiple engineering teams. * A track record of growing other engineers through mentorship, technical guidance, or the standards and practices you have put in place. * Strong software engineering fundamentals and the ability to work across application and infrastructure boundaries. * Experience designing and operating modern CI/CD systems at meaningful scale. * Strong understanding of build systems, testing infrastructure, deployment strategies, artifact management, and release automation. * Experience with cloud infrastructure and modern DevOps practices. * Experience with infrastructure-as-code and automated infrastructure provisioning. * Strong understanding of containers and orchestration technologies such as Docker and Kubernetes. * Experience diagnosing performance, scalability, and reliability problems across distributed build or deployment systems. * Strong understanding of software delivery tradeoffs including speed, cost, reliability, developer experience, and operational complexity. * Ability to write production-quality software and automation rather than relying exclusively on configuration or third-party tooling. * Strong communication skills with experience influencing technical direction across teams without direct authority. * High degree of ownership and agency. Comfortable navigating ambiguity, defining a path forward, and driving toward pragmatic and maintainable solutions. * A developer-focused mindset with a strong interest in understanding how engineers interact with the systems you build. * An AI-forward mentality and willingness to explore emerging tools that can meaningfully improve engineering effectiveness. Nice to haves/Bonus Points (Preferred Requirements): * Experience building internal developer platforms or developer productivity tooling at medium-to-large engineering organizations. * Experience with CI platforms such as GitHub Actions, Bitrise or similar systems. * Experience with Kubernetes-based build or CI infrastructure. * Experience with infrastructure-as-code tools such as Terraform. * Experience with AWS or another major cloud provider. * Experience with observability systems and establishing SLOs for developer-facing infrastructure. * Experience designing progressive delivery systems, canary deployments, feature rollouts, or automated rollback mechanisms. * Experience improving large monorepo or multi-repository build systems. * Experience working across backend, frontend, mobile, and infrastructure environments. * Experience developing internal platforms or paved roads that abstract infrastructure complexity for application engineers. * Experience applying AI or autonomous agents to software development, testing, CI/CD, or operational workflows. * Open-source contributions or involvement in developer tooling, infrastructure, or DevOps communities. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Lead IT operations team, manage service desk and vendor relationships, and ensure operational efficiency. | 5+ years IT operations or systems administration experience with people management and SLA proficiency required. | POSITION SUMMARY The Manager of IT Operations owns day-to-day operations management, SLA performance, and people leadership for the IT Operations team. Today, a small group of generalists (service desk, endpoint, identity, and platform work all bundled into the same people) reports up to a Senior Director who is also responsible for security, AI governance, and executive stakeholder management. This role closes that gap so the team gets focused coaching, prioritization, and operating rhythm, and so the Senior Director can stay focused on governance and cross-functional strategy instead of tactical operations escalations. This role inherits full people-management responsibility for the existing IT Operations engineers (the current IT Operations engineers, including offshore contractors). ROLE PURPOSE * Provide dedicated, full-time people management and operational leadership to team. * Own service desk SLA performance and the health of the operational backlog. * Give the IT Operations Lead a manager to escalate to. * Reduce interrupt-driven context-switching by owning prioritization and triage decisions at the team level. KEY RESPONSIBILITIES 1. PEOPLE MANAGEMENT & TEAM LEADERSHIP * Conduct regular one-on-ones, set individual performance expectations, and deliver formal feedback, including performance improvement plans and disciplinary action when warranted. * Build a team operating rhythm: stand-ups, backlog reviews, incident reviews, and coverage planning. * Support the IT Operations Lead's technical and operational coordination work while retaining final accountability for personnel outcomes. 2. SERVICE DESK & SLA OWNERSHIP * Own service-level performance for the ITDESK queue: time to first response, time to resolution, backlog age, and satisfaction. * Identify patterns behind missed targets and drive process, tooling, staffing, or documentation changes to correct them. * Ensure clean handoffs between frontline support, IT engineers, Security, People Experience, and other cross-functional partners. 3. OPERATIONAL BACKLOG & DELIVERY MANAGEMENT * Own the IT Operations backlog: prioritization, sequencing, and tradeoffs when demand exceeds capacity. * Track delivery of operational projects (SaaS rollouts/retirements, office technology changes, workflow automation) to completion. * Communicate delivery risk, resourcing constraints, and priority conflicts to the Senior Director before they become escalations. 4. ENDPOINT, IDENTITY, AND SAAS OPERATIONS OVERSIGHT * Provide management oversight of endpoint/hardware lifecycle, identity and access provisioning/deprovisioning, and SaaS administration performed by the team. * Partner closely with the Sr. IT Engineer (IAM & Platform) on identity governance, entitlement reviews, and platform administration priorities. * Ensure onboarding/offboarding SLAs are met and exceptions are tracked and resolved. 5. INCIDENT COORDINATION & ESCALATION * Serve as the management escalation point for operational incidents that exceed the IT Operations Lead's authority or require cross-functional or vendor coordination. * Ensure recurring incidents receive root-cause analysis and are tracked to remediation. * Escalate security-relevant findings to the Director of Information Security promptly. 6. VENDOR & SAAS MANAGEMENT * Own vendor relationship management for IT Operations-administered platforms (Okta, Google Workspace, Slack, Zoom, endpoint management tools, etc.). * Support contract renewal preparation with usage, cost, and risk data. * Drive license rightsizing and cost-control initiatives. 7. TEAM STRUCTURE & GROWTH PLANNING * Partner with the Senior Director on sequencing and justifying future IT Operations hires (Service Desk Lead, Tools & Automation Engineer, additional platform engineers) as the team's target structure is built out. 8. REPORTING & STAKEHOLDER COMMUNICATION * Provide the Senior Director with regular visibility into service health, backlog risk, team capacity, and delivery commitments. * Prepare or contribute to recurring operational reporting (SLA performance, ticket trends, project status). * Represent IT Operations in cross-functional working sessions as delegated. DECISION RIGHTS Within approved budget, policy, and priorities, the Manager of IT Operations is authorized to: * Hire, manage, coach, and (where necessary) exit IT Operations team members. * Set team priorities, backlog sequencing, and coverage plans. * Approve routine operational changes and vendor support escalations. * Reassign work across the team in response to incidents, attrition, or shifting priorities. * Represent IT Operations in meetings and decisions delegated by the Senior Director. REQUIRED QUALIFICATIONS * 5+ years in IT operations, service delivery, or systems administration, with meaningful experience managing people. * Experience owning service desk or IT support operations, including SLA management. * Experience managing operational backlogs, incidents, and cross-functional escalations. * Strong coaching and performance-management skills; comfortable delivering direct, candid feedback. * Familiarity with identity/SaaS platforms (Okta, Google Workspace, Atlassian, Slack) sufficient to manage the people who administer them, without needing to be the deepest technical expert. * Excellent written and verbal communication across technical and non-technical audiences. * Both Mac / Windows experience PREFERRED QUALIFICATIONS * Prior experience building or scaling an IT operations team from an unstructured, generalist model into a specialized one. * ITIL-aligned incident/request/change management experience. * Experience with endpoint management, office technology, or hardware lifecycle programs. * Experience partnering with Security on identity and access governance. CORE COMPETENCIES * People leadership and coaching * Operational ownership and SLA management * Prioritization under competing demands * Structured problem solving * Vendor and cost management * Cross-functional collaboration * Clear, candid communication * Change and growth management

Own and manage identity and access management systems including Okta and Atlassian platforms to ensure secure operations. | Require 5+ years IT engineering with focus on IAM, Okta, Atlassian tools, SAML/SSO, and automation scripting. | POSITION SUMMARY This role owns identity and access management (Okta and adjacent identity tooling) and Atlassian/Jira/Confluence platform administration as dedicated, full-time disciplines. It exists to create a specialist role who can get ahead of configurations, designing for scale, and closing any identity gaps (entitlement configurations, contractor and non-employee access, and access-automation). ROLE PURPOSE * Own identity and access management as a full-time discipline: SSO, entitlement governance, and access automation. * Own Atlassian/Jira/Confluence as dedicated platform administration, including the ITDESK project that every team at Fetch depends on. * Identify, propose and implement improvements. * Get ahead of platform and identity risk through architecture and automation, rather than reacting to incidents after they occur. * Provide senior technical depth that the current generalist model cannot sustain. KEY RESPONSIBILITIES 1. IDENTITY & ACCESS MANAGEMENT (OKTA) * Own configuration and administration of Okta SSO, MFA policy, and lifecycle workflows (onboarding, offboarding, role changes). * Own entitlement governance: design and run periodic access reviews, identify and remediate stale or excess access, and close gaps that allowed past entitlement misconfigurations. * Own contractor and non-employee access governance, including time-bound access, approval workflows, and offboarding enforcement. * Integrate and manage third-party application SSO connections; troubleshoot identity-related issues escalated from the team. * Maintain security compliance for identity systems in partnership with Information Security. 2. ACCESS AUTOMATION & RISK REDUCTION * Build and maintain automated workflows for provisioning, deprovisioning, and access review (e.g., via Okta workflows, or adjacent automation tooling) to reduce manual access administration. * Investigate and close automation gaps. * Partner with Information Security on broader architectural patterns and help remediate patterns in IT-administered systems. 3. ATLASSIAN SUITE PLATFORM ADMINISTRATION * Own Jira project configuration, workflows, permission schemes, and automation rules. * Administer Confluence spaces, permissions, and documentation standards. * Support Bitbucket configuration and access where applicable. * Design for scale and plan platform architecture proactively rather than administering reactively. 4. PLATFORM & IDENTITY ARCHITECTURE * Evaluate and recommend new tooling, integrations, or automation that improve identity governance or platform scalability. * Maintain technical documentation for identity and platform systems sufficient for audit, onboarding, and incident response. 5. CROSS-FUNCTIONAL PARTNERSHIP * Partner with Information Security on identity-related risk, audit evidence, and remediation of access-related findings. * Partner with the Manager of IT Operations on prioritization, escalation, and coordination with the rest of the IT Operations team. * Serve as the technical point of contact for identity and Atlassian platform questions across the company. 6. DOCUMENTATION & CONTINUOUS IMPROVEMENT * Maintain clear, current documentation for identity workflows, access policies, and platform configuration. * Identify recurring manual work in identity or platform administration and drive it toward automation or self-service. * Contribute to access request, approval, and audit workflow improvements. DECISION RIGHTS Within established security and platform standards, this role is authorized to: * Configure and modify Okta and Atlassian platform settings within approved change-management practices. * Design and implement access automation workflows. * Recommend and prioritize platform architecture changes. * Flag and pause changes that present apparent identity or platform risk pending review. REQUIRED QUALIFICATIONS * 5+ years in IT engineering or systems administration with a concentration in identity and access management and/or SaaS platform administration. * Direct hands-on experience administering Okta in a production environment, including SSO, MFA, and lifecycle automation. * Direct experience administering Atlassian tools (Jira, Confluence) at an organizational scale, including workflow and permission design. * Working knowledge of SAML/SSO concepts and access governance practices. * Familiarity with scripting, automation tooling, and API/webhook-based integrations. * Strong documentation habits and ability to work independently on platform architecture decisions. PREFERRED QUALIFICATIONS * Experience remediating identity-related security incidents or entitlement misconfigurations. * Experience with JumpCloud, Google Workspace admin, or AWS IAM. * Experience designing access review or automated deprovisioning programs. * B.S. in Computer Science, Information Systems, or equivalent experience. * Relevant certifications (Okta Certified Administrator, Atlassian certifications, or equivalent). CORE COMPETENCIES * Deep technical ownership of high-blast-radius systems * Proactive risk identification and architecture-first thinking * Automation-first problem solving * Independent judgment and prioritization * Cross-functional partnership with Security and IT leadership * Documentation discipline

Design and evolve high-throughput, low-latency backend systems and mentor senior engineers across teams. | Proven experience designing and operating distributed backend systems at scale with leadership in cross-team initiatives. | Meet Fetch Engineering At Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Our engineers are comfortable navigating ambiguity, understanding tradeoffs, gathering context, and turning uncertainty into progress while maintaining high technical standards. Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work. We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact. About the Role: Fetch is building the next generation of systems that power personalized advertising experiences for millions of users, and we're looking for a Staff Backend Engineer to help design and evolve the backend systems behind them. You will build and scale the high-throughput, low-latency distributed systems that sit on the critical path of Fetch's advertising platform, powering real-time decisions and experiences under demanding requirements for latency, availability, correctness, efficiency, and operational resilience. At Fetch, Staff means impact well beyond a single team. You set technical standards that multiple teams adopt, architect across multiple services and domains for company-wide programs, and define multi-quarter initiatives that shape the direction of the broader Ads organization and the Platform, Data, and ML teams it depends on. You are the person who resolves the high-ambiguity, team-spanning problems others get stuck on, and you lead through technical influence and mentorship rather than formal authority. The role requires deep expertise in distributed systems and backend architecture, along with a track record of solving difficult performance and scaling problems in production. You should be comfortable reasoning about systems operating at high request volumes, identifying bottlenecks across the stack, and designing architectures that continue to perform as traffic, data volume, and product complexity grow. This is a high-impact role at the intersection of distributed systems, real-time decisioning, and monetization, where performance, reliability, and operational excellence are non-negotiable. You will work closely with Ads, Product, Platform, Data, and ML teams to build scalable foundations that let Fetch move quickly while holding a high bar for system quality. This is a full-time role that can be held from one of our US offices or remotely in the United States. What you’ll do at Fetch (Role Responsibilities):  * Own architecture across critical Ads services. Design the high-throughput, low-latency services behind ad selection, targeting, pacing, delivery, attribution, and measurement, including the calls on partitioning, caching, consistency, concurrency, and performance across multiple services and domains. * Design for reliability, resilience, and operational excellence. Build systems that degrade gracefully under partial failures, traffic spikes, and downstream degradation, with the metrics, tracing, SLOs, and alerting that give clear visibility into revenue-generating systems. * Evolve event-driven and data-intensive architectures. Design reliable data flows across transactional and non-transactional stores, streaming, messaging, caching, and real-time processing, balancing consistency, durability, latency, scalability, and operational complexity. * Set standards multiple teams adopt. Drive backend, reliability, and performance standards across Ads and adjacent teams, and build reusable services and patterns that cut duplication and accelerate development. * Drive engineering leverage. Lead significant refactoring, migration, and system-health work, and build shared infrastructure and patterns that improve the group's velocity and reliability. * Shape org-level technical direction. Define and deliver multi-quarter initiatives that shape Ads-org direction and influence org-level priorities, and carry technical direction for the group when needed. * Solve high-ambiguity, team-spanning problems. Resolve complex reliability, performance, and scalability problems that span multiple teams, and partner across Ads, Platform, Product, Data, and ML to align investment and surface misalignments early. * Raise the engineering bar across teams. Mentor senior engineers across boundaries, lead technical design reviews, and establish practices for distributed systems, performance, reliability, and operational readiness that other teams adopt. In your Toolbox (Minimum Requirements): * Proven track record designing, building, and operating distributed backend systems at significant production scale, with demanding throughput, latency, availability, and reliability requirements. * Deep understanding of distributed systems: partitioning, replication, consistency, caching, concurrency, asynchronous processing, failure isolation, and coordination. * Strong track record diagnosing performance and scaling problems across applications, databases, caches, queues, networks, and infrastructure. * Strong expertise in API design, service boundaries, event-driven architectures, and data-intensive systems (streaming, messaging, distributed stores, caching). * Demonstrated ownership of architecture for complex distributed systems, including scalability planning, performance optimization, failure modes, and long-term evolution. * Experience building highly reliable production systems with comprehensive observability: metrics, tracing, structured logging, alerting, capacity planning, and incident response. * Experience making architectural decisions involving scalability, reliability, latency, consistency, operational cost, complexity, and developer-productivity tradeoffs. * Ability to independently translate ambiguous product and business requirements into robust backend designs with clear technical and operational tradeoffs. * Org-level influence beyond direct ownership: standards adopted by multiple teams, architecture for company-wide programs, and mentoring senior engineers across boundaries. * Track record of defining and delivering multi-quarter, cross-team initiatives that shaped org direction and resolved high-ambiguity problems. * Experience leading significant refactoring, migration, or system-health work that improved a team or group's velocity and reliability. * Fluency in modern backend and infrastructure ecosystems such as Kubernetes, event streaming, distributed data stores, cloud infrastructure, CI/CD, and observability tooling. Nice to haves/Bonus Points (Preferred Requirements): * Direct experience building or scaling advertising, ad-serving, auction, marketplace, recommendation, or other real-time decisioning systems. * Familiarity with advertising concepts such as targeting, pacing, bidding, frequency management, attribution, incrementality, and measurement. * Experience operating at very high request rates with strict tail-latency requirements. * Experience designing multi-region or highly available distributed systems and planning for traffic growth, regional failures, and capacity constraints. * Experience building backend infrastructure that supports real-time ML inference, ranking, recommendation, targeting, or personalization. * Demonstrated success improving system throughput, latency, reliability, or infrastructure efficiency at significant production scale. * Strong judgment about distributed systems complexity, including when sophisticated patterns are necessary and when simpler designs scale further and operate more reliably. * Prior Staff-level experience driving architectural direction across multiple teams, services, or product domains. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].

Design, build, and maintain backend Python services and Svelte frontend features for an analytics platform, owning architecture and collaborating cross-functionally. | At least 4 years fullstack experience with strong Python and modern frontend framework skills, plus distributed systems knowledge and independent project leadership. | Meet Core Services - Labs Core Services owns the systems the rest of Fetch builds on: developer experience, the core domains behind catalog, e-receipts, and fraud, and the AI platform work that is changing how the company operates. Our teams are small relative to the number of teams depending on what we ship, which shapes how we make decisions and where we hold a high bar. Labs is the AI collective inside Core Services, spanning innovation, automation, and enablement. Our job is to make AI genuinely usable inside Fetch: agentic systems that do real work, the infrastructure those agents run on, and the products that put them in front of the people who need them. This role sits on the pack focused on agentic analytics. The engineers here come from a mix of backgrounds — product and platform engineering, ML, and data. Deep AI experience is not a prerequisite for this role; strong product engineering judgment is, and there's real AI depth available to anyone who wants to grow into it. What we consistently care about is adoption. About the role You'll join the team that builds FAST, Fetch's internal AI analytics platform. FAST puts an analytics agent in front of business users so they can answer real data questions in plain language instead of waiting in a queue for an analyst. It's also a product that has to earn the trust of people who will not tolerate a wrong number. This is a fullstack role centered on the product around the agent. You'll build and own new features, new integrations, and the services and interfaces that turn a capable agent into something people rely on day to day. The work spans the stack but leans towards backend. We're a small team, and you'll own the features you ship. Engineers here upskill one another across domains, and AI-assisted workflows have made that ramp faster than it has ever been. You'll work alongside fullstack and ML engineers building a product that serves Fetch. Over time, and depending on where the platform goes, there's a path into the agent layer itself: evals, capability expansion, and the accuracy work that determines whether any of this succeeds. This is a full-time role that can be held from one of our US offices or remotely in the United States. What you’ll do at Fetch (Role Responsibilities):  * Design, build, and ship product features across the FAST platform, with the majority of your work in Python services and APIs. * Own backend-dominant fullstack work end to end, including the Svelte frontend surfaces that expose it. * Build the data models, integrations, and service architecture that turn a working agent into a product people rely on. * Improve FAST's reliability, maintainability, and architecture. * Raise the bar on backend and product engineering craft within the team through code review, design discussion, and hands-on pairing. * Bring clear tradeoff thinking to design and architecture decisions, and turn ambiguous product needs into concrete implementation plans. * Improve how the team ships, including where AI-assisted workflows meaningfully improve quality and speed. In your Toolbox (Minimum Requirements): * 4+ years of hands-on fullstack engineering experience in a medium to large engineering environment. * Strong backend experience, ideally in Python. * Working experience with modern frontend development and the ability to contribute confidently to Svelte or a comparable framework. * Comfort owning work across the stack: product features, service integration, and the implementation details in between. * Solid grounding in distributed systems or systems-level engineering concepts. * Strong written and verbal communication, including the ability to explain a tradeoff to someone who doesn't share your context. * Demonstrated ability to work independently, navigate ambiguity, and drive work to completion without every task assigned. * Track record of collaborating effectively across backend, frontend, and machine learning disciplines. * Interest in using AI tools and agentic workflows to improve engineering speed, quality, and maintainability. Nice to haves/Bonus Points (Preferred Requirements): * Experience building real-time or near-time OLAP applications * Production experience with Svelte, or with another TypeScript framework. * Experience building products on top of LLMs or agentic systems. * Exposure to data, analytics, BI, or experimentation tooling. * Experience with Go. * Experience on teams that balance product delivery against platform evolution. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $162,198 - $190,821. Discover our benefits and how our employees live rewarded at https://fetch.com/careers [https://fetch.com/careers].