Data Scientist: Mail Growth & AI Features (Remote)

Superhuman; United States; Remote; USD 140,000 - 195,000; Full time

Job summary

Superhuman is seeking a Data Scientist on the Mail team to embed with product, design and engineering. You’ll shape feature strategy, define success metrics, and run experiments to improve activation, engagement, retention, and expansion.

You’ll build measurement frameworks for AI features like Auto Drafts, Auto Labels, and Calendar, influence cross‑functional decision making, and help the company ship faster while delivering delightful, data‑driven user experiences.

Responsibilities

• Be the embedded data science partner for the Mail core product team, shaping strategy and roadmap with evidence.
• Define and own the metrics that matter for Mail: activation milestones, engagement depth, retention curves, and leading indicators.
• Design and run experiments across the Mail product lifecycle and build measurement frameworks to separate signal from noise.
• Shape measurement for Mail AI features (Auto Drafts, Auto Labels, Auto Archive, Calendar, MCP) with quality metrics.
• Figure out what makes Mail sticky: engagement drivers, activation sequence for power users, funnel value leakage.
• Partner with product-led and sales-led growth to quantify levers turning users into team expansions and signal conversion/churn.
• Use data to craft product moments — onboarding flows, feature discovery, engagement nudges that feel natural.
• This includes understanding how features such as Calendar scheduling and MCP-driven workflows change day-to-day Mail usage.
• Communicate findings clearly to PMs, designers, engineers, and executives — experiment readouts and strategic deep-dives — raise the bar on data-driven decisions.

Job description

Superhuman is seeking a Data Scientist on the Mail team to embed with product, design and engineering. You’ll shape feature strategy, define success metrics, and run experiments to improve activation, engagement, retention, and expansion.

You’ll build measurement frameworks for AI features like Auto Drafts, Auto Labels, and Calendar, influence cross‑functional decision making, and help the company ship faster while delivering delightful, data‑driven user experiences.