Job description

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. ABOUT SUPERHUMAN Grammarly 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, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, 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 superhuman.com and about our values here blog.superhuman.com. 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. 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. In This Role, You Will: - 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 QUALIFICATIONS - You have 5+ years in product management, with meaningful experience owning technical platform, data, infrastructure, or AI-enabling products. - You have hands-on fluency with data systems and platforms, including data modeling, schemas, event systems, APIs, warehouses, or analytics infrastructure. - You are comfortable working closely with engineers and data practitioners on technical tradeoffs, architecture, reliability, privacy, security, and scale. - You can translate complex platform capabilities into clear product requirements, adoption paths, and user experiences for internal product teams. - You have experience shipping products or platforms that serve multiple teams, customers, or surfaces at scale. - You have a 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. - Has a 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. 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. For more information about our compensation zones and locations where we currently support employment, please refer to this page superhuman.com. If a location of interest is not listed, please speak with a recruiter for additional information. 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 At Superhuman, we value our differences, and we encourage all 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).

Requirements

Must-haves

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
You have 5+ years in product management, with meaningful experience owning technical platform, data, infrastructure, or AI-enabling products.
You have hands-on fluency with data systems and platforms, including data modeling, schemas, event systems, APIs, warehouses, or analytics infrastructure.
You are comfortable working closely with engineers and data practitioners on technical tradeoffs, architecture, reliability, privacy, security, and scale.
You can translate complex platform capabilities into clear product requirements, adoption paths, and user experiences for internal product teams.
You have experience shipping products or platforms that serve multiple teams, customers, or surfaces at scale.
You have a 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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aigo

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness

Professional Development