Director, Data Science

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.Superhuman team members for this role must be based in the San Francisco Bay Area.About SuperhumanGrammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the Superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Superhuman Docs’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Refounded in 2025, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.The OpportunityAs Director, Data Science, you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work—powering agentic features across surfaces and making our products the best place to write, track, and build. You will shape how data informs product direction, investment decisions, and user experience, partnering closely with Product, Engineering, Design, GTM, and company leadership to unlock growth and deliver measurable impact.We’re building and growing our Data Science teams in San Francisco and New York, with one Data Science leader anchored in each hub.In either role, you will build and mentor a high-performing data science team that combines strategic thinking with hands-on execution. You’ll guide the team in tackling high-impact product, growth, and business questions; develop rigorous experimentation and measurement practices; and help ensure that decisions are grounded in deep user understanding and clear business outcomes.This is an opportunity to work on a product used by millions, collaborate with a globally distributed and highly cross-functional team, and apply the latest technologies to shape the future of AI-powered productivity.You’ll be especially well-positioned to succeed if you are energized by building in fast-moving environments, raising the bar on analytical rigor, and developing exceptional teams. This role is ideal for a leader who can move fluidly between vision and execution—someone who can set direction, coach senior talent, influence across functions, and turn ambiguity into focus and momentum.Qualifications10+ years of experience in data science, analytics, experimentation, or a related quantitative field, including significant experience leading high-performing teams.Proven track record of setting data science strategy for product-led or growth-focused organizations and translating business goals into clear analytical priorities.Deep expertise in experimentation, causal inference, statistical analysis, and measurement frameworks, with strong judgment on how to apply rigor in fast-moving product environments.Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on analytical best practices, data quality, and scalable measurement approaches.Experience partnering closely with Product, Engineering, Design, and GTM leaders to influence roadmap decisions, shape product strategy, and drive measurable business outcomes.Track record of coaching senior talent, elevating team performance, and creating an inclusive environment where individuals can do their best work.Exceptional written and verbal communication skills, including the ability to influence executives and align cross-functional stakeholders around data-informed decisions. Keen eye and attention to detail for the visual display of quantitative information.Strong product sense and business judgment, with the ability to connect user behavior, company strategy, and commercial outcomes.Ability to operate with high autonomy, manage ambiguity effectively, and move seamlessly between long-term strategy and day-to-day execution.Compensation and BenefitsSuperhuman offers all team members competitive pay along with a benefits package encompassing the following and more:Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)Disability and life insurance options401(k) and RRSP matchingPaid parental leave20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick timeGenerous stipends (including those for caregiving, pet care, wellness, your home office, and more)Annual professional development budget and opportunitiesSuperhuman takes a market-based approach to compensation so that base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position, by compensation zone, are outlined below and may be modified in the future.We encourage you to applyAt Superhuman, we value our differences and encourage everyone to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).Compensation Range: $302K - $415KLocationHub - San FranciscoEmployment TypeFull timeLocation TypeHybridDepartmentEngineering, Product, Design, and MarketingEngineeringDataData ScienceCompensationZone 1Estimated Base Salary $302K – $415K • Offers Equity