Note: The job is a remote job and is open to candidates in USA. Superhuman is an AI productivity platform whose products include Mail, Grammarly, Docs, and Go. The Data Scientist will partner with the Superhuman Mail product team to define product metrics, design experiments, measure AI feature quality, and use behavioral insights to improve acquisition, activation, retention, engagement, and expansion. The role also involves communicating findings to cross-functional stakeholders and influencing data-driven product decisions.
Responsibilities
- Be the embedded data science partner for the Mail core product team — shaping feature strategy, prioritization, and roadmap decisions with evidence, not just fielding ad hoc requests
- Define and own the metrics that matter for Mail: activation milestones, engagement depth, retention curves, and the leading indicators that tell us whether a new feature is actually changing how people work in their inbox
- Design and run experiments across the Mail product lifecycle — from onboarding and first-week activation to long-term habit formation — and build the measurement frameworks that separate signal from noise
- Shape the measurement strategy for Mail's AI features — Auto Drafts, Auto Labels, Auto Archive, Calendar, MCP, and the agentic capabilities on the roadmap — by defining quality frameworks and behavioral metrics that show whether AI is making users genuinely faster and more effective
- Figure out what makes Mail sticky: which features drive the deepest engagement, what the activation sequence looks like for users who become power users, and where in the funnel we're leaving value on the table
- Partner with product-led and sales-led growth to identify and quantify the levers that turn individual users into team expansions — and surface the product signals that predict conversion and churn
- Use data to craft remarkable product moments — turning behavioral insight into smarter onboarding flows, better feature discovery, and engagement nudges that feel natural rather than forced. This includes understanding how features such as Calendar scheduling and MCP-driven workflows change the way users interact with Mail on a day-to-day basis
- Communicate findings clearly to PMs, designers, engineers, and executives — from experiment readouts to strategic deep-dives — and help raise the bar on how the Mail team makes decisions with data
Skills
- You have 5+ years of data science experience and a track record of driving measurable impact for business and customers
- You have deep expertise in experimentation and causal inference. You're fluent in A/B testing as well as quasi-experimental and observational methods, and you know when to use each
- You're fluent in Python and SQL, with strong data exploration and manipulation skills
- You have strong applied statistics skills and machine learning skills, and you use them to drive product and growth decisions
- You can translate ambiguous business questions into sound experimental designs, measurement plans, and metrics
- You influence cross-functional partners and turn technical insight into action through clear communication, empathetic building, and openness to ideas from anywhere
- You're a self-starting, creative problem-solver who distills problems to their core and thrives with ambiguity
- You have a bachelor's degree in a quantitative field (statistics, mathematics, economics, computer science, data science, or a similar field)
- You have experience working at a fast-growing startup, on AI-native consumer products, and/or in B2B/SaaS
- You've been a strategic thought partner to product, growth, or business leaders, driving data-driven decisions
- You've evaluated the quality of AI, LLM, or agentic products hands-on
- You're comfortable using AI-assisted development tools like Claude Code or Codex to move faster, and you have the judgment to validate and supervise their output
- You're familiar with experimentation platforms such as Statsig and modern data stacks such as Databricks
- You have experience with product-led growth and/or lifecycle and marketing analytics
- You've helped data science teams establish the methods, standards, and processes they use to collaborate
- An advanced degree or equivalent practical experience is preferred
Benefits
- Remote-flexible working model for this particular role on the Mail team, with flexibility to work from wherever you're based
- Hybrid setup available for those based in San Francisco, New York City, or Seattle
- Excellent health care, including medical, dental, vision, mental health, and fertility benefits
- Disability and life insurance options
- 401(k) matching
- Paid parental leave
- 20 days of paid time off per year
- 12 days of paid holidays per year
- Two floating holidays per year
- Flexible sick time
- Generous stipends, including caregiving, pet care, wellness, and home office stipends
- Annual professional development budget and opportunities
Company Overview
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