DataRobot

Lead the design, development, and support of new access-related functionality of the platform. Manage individual projects and milestones while providing technical leadership to the team. | 5+ years of proven experience writing high-quality software code in a collaborative environment using Python or Go. Deep understanding of identity and access management concepts and best practices. | Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. We are seeking a highly motivated and experienced Senior Backend Engineer to join our Security and Access team. This role is ideal for someone with a strong background in software engineering who is eager to lead, mentor, and tackle complex challenges in platform engineering supporting the rapidly evolving field of AI. Curiosity, a passion for innovation, and a commitment to delivering high-quality, secure software are qualities we highly value. As a Senior Backend Engineer, you will design, build, and maintain scalable, robust backend systems in user and tenant management, authentication and authorization, secret management, access and controls, and other key systems that power DataRobot's Predictive and Generative AI initiatives. You will also provide technical leadership and guidance to junior engineers. This is an exciting opportunity for an experienced engineer to lead impactful projects, enhance their skills, and collaborate with a team of experienced professionals in one of the most innovative and dynamic industries. Knowledge, Skills & Abilities: 5+ years of proven experience writing high-quality software code in a collaborative environment using Python or Go Expert knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis Deep understanding of identity and access management (IAM) concepts and best practices Familiarity with common security protocols (e.g., OAuth2, OpenID Connect, SAML, etc.) and security best practicesFamiliarity with common security protocols (e.g., OAuth2, OpenID Connect, SAML, etc.) and security best practices Extensive experience working with cloud platforms: designing, deploying, and maintaining highly available and scalable cloud-based solutions Familiarity with CI/CD pipelines and DevOps practices, and experience in optimizing deployment processes Strong understanding of design for scalability, performance, reliability, and security Effective communication behavior: can connect with both technical and non-technical audiences effectively in English, and capable of mentoring others A continuous learning mindset with the ability to challenge yourself and apply new knowledge, and to lead by example Personal drive and a proactive approach to getting things done, including identifying and solving complex problems independently Adapt to and contribute to the fun, fast-paced environment of our engineering team Key Responsibilities: Lead the design, development, and support of new access-related functionality of our Platform Manage individual projects and milestones with abundant communication of progress, and provide technical leadership to the team Participate in and lead code reviews, ensuring high code quality and adherence to best practices Design and architect infrastructure for new features with the input of peers and stakeholders Create and maintain automated tests, and contribute to test strategy and frameworks Engage in engineering on-call escalated support of services owned by the team, and provide mentorship to junior engineers on support Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Nice to have: Publicly reviewable contributions to exciting development projects or open-source initiatives Strong knowledge of software architecture for large distributed systems and microservices Understanding of Kubernetes and Helm. Experience in building, deploying, and running software systems on Kubernetes clusters in production at scale. Extensive working knowledge of automated testing and test-driven development, and experience with various testing methodologies Keen interest in working in a fast-paced, flexible startup environment with a geographically distributed team, and experience with remote collaboration The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn. DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond. Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

Lead and mentor a team of Account Managers to drive customer retention, growth, and strategic partnerships while collaborating cross-functionally to align account strategies with company revenue goals. | 10+ years in account management or sales leadership with 3+ years managing teams, experience in SaaS or enterprise technology, strong strategic and communication skills, and a Bachelor’s degree (MBA preferred). | Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. The Director of Account Management is responsible for leading a team of Account Managers focused on driving customer retention, growth, and long-term strategic partnerships. This leader ensures that customers realize maximum value from their investment, while aligning account strategy with company revenue objectives. The Director partners cross-functionally with Sales, Customer Success, Product, and Marketing to deliver a seamless customer experience and achieve company growth goals. Key Responsibilities: Strategic Leadership Develop and execute the overall account management strategy to achieve retention, upsell, and cross-sell targets. Lead and mentor a team of Account Managers, ensuring alignment with company objectives and professional growth. Drive consistent account planning and pipeline management across the team. Customer Growth & Retention Oversee execution of customer account strategies to maximize Net Revenue Retention (NRR). Ensure customer satisfaction through proactive engagement, issue resolution, and executive-level relationship management. Identify and pursue opportunities for customer expansion, including upsell of new solutions and cross-sell into additional business units. Cross-Functional Collaboration Partner with Customer Success, Professional Services, and Product teams to deliver value and ensure adoption of solutions. Align with Sales leadership on territory planning, forecasting, and joint account strategies. Collaborate with Marketing and Enablement to provide Account Managers with the tools and resources needed to succeed. Operational Excellence Define, track, and report on key account management metrics, including retention, expansion, and pipeline performance. Implement scalable processes, playbooks, and tools that improve team efficiency and customer outcomes. Foster a culture of accountability, collaboration, and continuous improvement within the Account Management team. Knowledge, Skills and Abilities: Proven ability to lead and scale account management or customer success teams in a SaaS or enterprise software environment. Strong strategic thinking and execution skills, with experience managing multimillion-dollar account portfolios. Excellent executive presence and communication skills; ability to influence C-level stakeholders internally and externally. Data-driven decision maker with strong business acumen and ability to translate insights into action. Strong collaboration and leadership skills with a history of cross-functional success. Requisite Education and Experience / Minimum Qualifications: 10+ years in account management, customer success, or sales leadership, including 3+ years leading teams. Experience in SaaS, AI/ML, or enterprise technology environments strongly preferred. Bachelor’s degree in Business, Technology, or related field; MBA preferred. Compensation Statement The U.S. annual on-target earnings (OTE) range for this full-time position is between $280,000 and $380,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn. DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond. Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

Lead global demand generation and marketing operations to drive pipeline and customer expansion. Build and evolve a multi-tiered ABM strategy while mentoring a team of growth marketers. | 10+ years of B2B marketing experience with a proven track record in demand generation and marketing operations. Strong understanding of ABM best practices and experience in launching multi-channel campaigns. | Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. About the Role This is not your typical growth marketing role. We’re looking for a bold, creative, and metrics-obsessed Head of Growth and Operations to architect and run the engine that powers our global AI go-to-market. You’ll have full ownership of demand generation, digital, ABM, marketing operations, and strategy driving pipeline at scale while building one of the most admired growth machines in the fastest-moving space in tech. If you’ve ever wanted to build the blueprint for how AI companies go to market across regions, accounts, and ecosystems this is your moment. What You’ll Own Lead our global demand generation, digital marketing, SEO, ABM, and GTM strategy to drive net-new pipeline and customer expansion Build and evolve a multi-tiered ABM strategy, delivering targeted experiences across verticals, segments, and deal stages Drive marketing operations and infrastructure including attribution, reporting, scoring models, and campaign performance dashboards Partner with sales leadership to align on growth goals, territory coverage, and pipeline acceleration strategies Drive integrated campaigns across field marketing, partner marketing, and SDRs to reach and convert high-value accounts Deliver repeatable, scalable program frameworks that align to quarterly goals while leaving room for innovation Mentor and lead a team of growth marketers, campaign managers, and marketing ops professionals supporting their development while maintaining a high-performance culture Collaborate with product marketing and brand to shape themes and ensure consistent positioning across channels What You Bring 10+ years in B2B marketing with deep leadership experience across demand generation, marketing operations, and ABM Proven track record of driving measurable pipeline and revenue impact at enterprise scale, supporting both pre- and post-IPO growth Deep understanding of ABM best practices, including partner ABM, 1:1 personalization, and integrated outbound programs Experience managing and scaling global marketing operations, including tools, data, attribution models, and predictive scoring Strong partnership with sales, SDRs, and RevOps able to build trust, drive alignment, and hold teams accountable to shared targets Experience launching multi-channel field and digital campaigns, including webinars, in-person events, and high-value content experiences Ability to move seamlessly between strategy and execution, working across leadership and hands-on teams to make things happen Highly analytical with strong proficiency in marketing tech stacks, CRM systems, and reporting tools Why Join Us AI is the most transformative technology wave of our time and we’re at the center of it. You’ll lead growth in a company that’s not chasing the trend, but shaping it. You’ll have the opportunity to build from the ground up, but with scale, urgency, and full executive support behind you. Lead a global charter across campaigns, operations, ABM all under one roof, and partner with the biggest names in tech, like NVIDIA, to define what modern B2B growth should look like. You’ll work with a hungry, high-velocity team that values speed, autonomy, and impact over red tape. If you’ve been waiting for the opportunity to build your dream growth engine at the center of AI this is it. Compensation Statement The U.S. annual compensation range for this full-time position is between $205,000 and $280,000 USD/year. This range represents the annual base salary. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn. DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond. Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

Implement best practices for measuring business processes, define KPIs, create dashboards, drive process improvements, and collaborate with data teams to support SaaS business metrics and forecasting. | 4-6 years experience with SaaS business analytics, strong SQL and visualization skills, knowledge of SaaS metrics, data modeling, and ability to work independently in a fast-paced environment. | Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. About DataRobot DataRobot delivers the industry-leading agentic AI applications and platform that maximize impact and minimize risk for your business. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services empowers any organization, regardless of size, industry, or resources, to drive better business outcomes with AI.  You will be responsible for: • Work with business leaders to implement best practices for measuring business processes, define critical KPIs and metrics, manage performance, and create operational rigor. • Drive the framework to measure marketing, demand gen, customer success, and financial processes using industry-standard metrics, e.g., bookings/ARR, financial forecast, Plan vs. actuals, conduct rigorous exploratory data analysis, and create executive-facing dashboards that drive decision-making and actions. • Communicate insights through reports, dashboards, and advanced analytics, and build narratives and strategic recommendations to support key decision-making. • Create a playbook to drive quarter-end close activities, monthly/quarterly financial forecasting • Influence process teams to address process gaps that result in data issues and drive process improvements. • Work with data engineering/data science team to establish data sources that serve teams' business needs, identifying and advocating for process improvements and industry best practices (e.g., standard metric definitions) • Synthesizing large volumes of data with attention to granular details, building certified data sources, and addressing data quality issues and process gaps. • Support multiple projects at the same time in a fast-paced, results-oriented environment. • Drive automation of repetitive processes and build self-serve tools (eg: Tableau Dashboards) to empower product and business stakeholders. Requirements: • 4-6 years of experience • Understanding of GTM and post-sales business process at a SaaS business. • Experience building SaaS metrics such as Renewals, Churn, Customer Health Scores, Retention Rates, and ARR is required. • Experience with data modeling and data transformation tools like DBT. • Strong understanding of B2B SaaS metrics and business processes. • Fluent in advanced analytical SQL, Excel, and visualization tools such as Tableau, Looker, or Qlikview; experience with a statistical programming language like R or Python preferred • Prior work experience in a business analytics space would be highly valued. (A good understanding of A/B testing principles is preferred) • Analytical and problem-solving experience, exposure to large-scale data warehouses • Deep understanding of complex data models, BI methodologies, Data Architecture principles, Master data and metadata • Understanding of operational processes, systems, and data in multiple areas of Sales and operations, such as forecasting, Pipeline management, Account management, Sales performance, etc. • Entrepreneurial self-starter. Thrive in a fast-paced environment and independently capable of seeking information, corralling resources, and delivering results without waiting for direction. • Thrive on combining rigorous data-driven analysis, strong business and product judgment, and an ability to work well across teams. • Comfortable handling sometimes ambiguously defined problems, developing creative solutions, and delivering against aggressive timelines • Consistent track record of initiating and leading cross-functional and cross-organizational projects, building relationships with partners, and influencing decision-makers. • Strong verbal and written communication skills. • A data-driven mindset with a degree in any quantitative discipline, such as Engineering, Computer Science, Economics, Statistics, or Mathematics The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: • Wow Our Customers • Set High Standards • Be Better Than Yesterday • Be Rigorous • Assume Positive Intent • Have the Tough Conversations • Be Better Together • Debate, Decide, Commit • Deliver Results • Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.