Senior Product Manager, Data Platform
About The Position
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. The right person is a data nerd: curious about models, pipelines, quality, lineage, and semantics, while still anchored in the product experiences those systems enable.
Requirements
- 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.
- Analytical Rigor: You think in systems, metrics, models, and pipelines. You can identify the signal in messy data, define crisp success measures, and translate findings into clear product direction.
- Platform Product Sense: You understand that internal platforms win through trust, usability, documentation, reliability, and adoption — not just technical elegance.
- Data Craft: You care deeply about semantics, lineage, data quality, governance, and the long-term maintainability of shared data systems.
- Enterprise Empathy: You understand the expectations of enterprise customers around data privacy, permissions, security, compliance, and reliability.
- AI-First Operator: You embed AI into daily workflows, rituals, and decision-making. You model fluency, curiosity, and visible use of AI to raise the bar for speed, quality, and customer impact.
- Extreme Ownership: You 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: You work tirelessly in pursuit of your results; you quickly take the initiative and own it when results are off; you course-correct and get scrappy if necessary.
- Low Ego: You put the company ahead of yourself. Most of our discussions are about results and how to amplify success.
- Demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
Responsibilities
- Own the roadmap for Superhuman’s core data model and shared platform services across a multi-product suite
- Define the canonical entities, relationships, events, permissions, and semantics that product and AI teams rely on
- Partner with engineering to build reliable, scalable data systems, APIs, and services that turn complex data into simple platform capabilities
- Work across product teams to understand data needs, unblock high-impact use cases, and drive consistency without slowing innovation
- Establish product-quality standards for data trust, documentation, governance, discoverability, and developer experience
- Define success metrics, prioritize investments, and use data to communicate platform impact and adoption
Benefits
- 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
- Flexible sick time
- Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
- Annual professional development budget and opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
