Senior Product Manager, Data Platform

The Opportunity

The Opportunity

Superhuman is becoming a multi-product company, and our data platform needs to make that complexity feel simple for our customers and for our internal employees. We're hiring a Senior Product Manager to own the core data model and shared data services that will power connected, intelligent experiences across Superhuman Docs, Mail, Go, Grammarly, and future Superhuman products.

This is a technical, high-leverage product role for someone who loves data systems as much as customer outcomes. You’ll define how Superhuman understands users, teams, organizations, permissions, content, activity, signals, and product interactions across a growing suite.

You’ll turn messy, distributed data into trusted platform primitives that product teams can build on with confidence. You’ll partner closely with data engineering, product engineering, data science, security, and product teams across Superhuman to design the shared services, schemas, governance patterns, and interfaces that make our combined data platform durable, scalable, and easy to use.

Qualifications

• 5+ years in product management, with meaningful experience owning technical platform, data, infrastructure, or AI-enabling products.
• Hands-on fluency with data systems and platforms, including data modeling, schemas, event systems, APIs, warehouses, or analytics infrastructure.
• Comfortable working closely with engineers and data practitioners on technical tradeoffs, architecture, reliability, privacy, security, and scale.
• Ability to translate complex platform capabilities into clear product requirements, adoption paths, and user experiences for internal product teams.
• Experience shipping products or platforms that serve multiple teams, customers, or surfaces at scale.
• Demonstrated ability to take ambiguous, cross-functional problems from insight to shipped product with minimal oversight.

Competencies

• Analytical Rigor: Think in systems, metrics, models, and pipelines. Identify the signal in messy data, define crisp success measures, and translate findings into clear product direction.
• Platform Product Sense: Understand that internal platforms win through trust, usability, documentation, reliability, and adoption — not just technical elegance.
• Data Craft: Care deeply about semantics, lineage, data quality, governance, and the long-term maintainability of shared data systems.
• Enterprise Empathy: Understand the expectations of enterprise customers around data privacy, permissions, security, compliance, and reliability.
• AI-First Operator: Embed AI into daily workflows, rituals, and decision-making. Model fluency, curiosity, and visible use of AI to raise the bar for speed, quality, and customer impact.
• Extreme Ownership: Act as if you are 100% responsible for your own outcomes as well as the outcomes of the company. You do this without stepping on toes.
• Results Driven: Work tirelessly in pursuit of your results; quickly take the initiative and own it when results are off; course-correct and get scrappy if necessary.
• Low Ego: Put the company ahead of yourself. Most of our discussions are about results and how to amplify success.

Compensation And Benefits

Superhuman 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 options
• 401(k) and RRSP matching
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your 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 are outlined below by compensation zone and may be modified in the future.

We encourage you to apply