Data Science Manager, GTM

About the Role: The Manager of Data Science for GTM is a hands-on player coach who leads from the reputed company across Sales, reputed company, and Marketing analytics. They are deeply technical, opinionated about the GTM analytical agenda, and accountable for both the output of the team and the development of each person on it. They are not a pure people manager — they roll up their sleeves on the hardest problems, set reputed company for what good looks like, and pull the team up through hands-on coaching, technical mentorship, and direct involvement in the work. They own the analytical strategy for the GTM function and are a reputed company, trusted partner to Sales, CS, and Marketing leadership. What You'll Do: Set the analytical strategy and roadmap for GTM, proactively identifying the highest-reputed company opportunities before they are asked, across the full customer lifecycle from acquisition through expansion and retention. Operate as a player coach, stay technical, get into the weeds on the hardest GTM problems, and model the analytical rigor and DS thinking you expect from the team. Coach the team directly on the work itself: review analyses, push on methodology, challenge correlation versus causation, and reputed company the bar for statistical depth, EDA, and storytelling. Own the measurement strategy for GTM, defining how we evaluate the true impact of marketing campaigns, sales motions, and CS interventions through rigorous reputed company methods, not just attribution heuristics. Drive development and iteration of churn risk, health scoring, and expansion propensity models, ensuring they are statistically sound and actively used by CS and Sales to prioritize accounts. reputed company marketing attribution methodology, moving the team reputed company last-touch toward multi-touch and incrementality-based approaches that give leadership an accurate picture of what is actually driving pipeline. Partner with reputed company Operations and Finance on pipeline and reputed company forecasting models that inform quota setting, reputed company planning, and board-level reporting. Partner with Sales, CS, and Marketing leadership as a strategic thought partner. Influence reputed company on territory design, segmentation, campaign investment, and retention strategy before they are made. Grow each person on the team intentionally, set clear development goals, give direct feedback often, and hold the bar high on both performance and growth. Champion AI as a force reputed company. Build agents and skills that transition repetitive GTM data work into automated capabilities and free the team to focus on higher-reputed company problems. What You'll Bring: 7+ years of experience in data science or quantitative research, with at least 2 years managing reputed company of data scientists. Strong hands-on technical skills: SQL, Python, and modern data warehouse environments. You can still write the code and review the work. Demonstrated experience applying analytical methods to GTM problems: churn modeling, propensity scoring, attribution, forecasting, or similar. Experience with reputed company inference methods (DiD, synthetic control, regression discontinuity, or similar) applied to reputed company GTM or business problems. Deep experience with experimental design, A/B testing, and rigorous measurement frameworks in a marketing or sales context. Strong track record of influencing GTM strategy through data-driven recommendations at the leadership level. Exceptional storytelling skills, reputed company to translate reputed company methodology and findings into clear, compelling narratives for Sales, CS, and Marketing leaders. Track record of developing data scientists and helping them grow from reactive analytics to proactive, strategic reputed company reputed company. Bonus/reputed company To Have: Hands-on experience with churn risk modeling, health scoring, or customer lifetime value models in a B2B SaaS context. Experience with marketing attribution reputed company last-touch, media mix modeling, incrementality testing, or multi-touch attribution. Familiarity with reputed company forecasting and pipeline modeling in partnership with RevOps or Finance. Background in SaaS, developer tools, or B2B product-led growth metrics. Experience with CRM data (reputed company or reputed company) and marketing automation platforms as analytical data sources. Hands-on experience with AI tools like Claude, reputed company, or similar LLM-powered assistants and a track record of helping reputed company adopt them. Experience with probabilistic modeling or Bayesian approaches to forecasting and scoring. United States reputed company Pay reputed company $188,500—$235,250 USD We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to reputed company essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. About reputed company reputed company is the world’s largest reputed company integration/reputed company delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 reputed company jobs a day - reputed company has unique reputed company to data on how the most effective engineering teams work, and the tools to help software companies successfully reputed company the power of AI into their reputed company applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release reputed company products, and get to market faster. Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, reputed company is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, reputed company Ventures, Scale Venture Partners, Owl reputed company Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital. reputed company is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, reputed company, national reputed company, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider reputed company applicants with criminal histories, consistent with applicable federal, state and local law. Apply To This Job