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Superhuman

Fastest email experience with AI tools

Senior Product Manager - Data Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$206k - $258k /yr

About the Job

Requirements

  • At least 5 years of product management experience, including 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.
  • Ability to work 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.
  • Ability to identify meaningful signals in data, define success measures, and translate findings into product direction.
  • Understanding that internal platforms succeed through trust, usability, documentation, reliability, and adoption.
  • Knowledge of semantics, lineage, data quality, governance, and the long-term maintainability of shared data systems.
  • Understanding of enterprise customer expectations around data privacy, permissions, security, compliance, and reliability.
  • Ability to embed AI into daily workflows, rituals, and decision-making, and demonstrate fluency and curiosity in using AI to improve speed, quality, and customer impact.
  • Ability to work independently with minimal guidance, proactively manage tasks and priorities across multiple projects, execute work efficiently, collaborate across functions, and thrive in a fast-paced, results-driven environment.

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.

About the Company

Superhuman

Fastest email experience with AI tools

Superhuman delivers a fast, feature-rich email experience that integrates with Gmail and Outlook to help teams manage their inboxes more efficiently. The product sits atop your existing email accounts and uses AI writing to draft messages, AI summarization to condense long emails, and a Split Inbox to separate different mail streams, all under a subscription. It differentiates itself by prioritizing speed and efficiency for professional teams and by offering a unified, streamlined interface with AI tools not found in standard email apps. Its goal is to help professionals reclaim time and boost productivity by making email handling faster and smarter.

Company size
51-200
Company stage
Series C
Total funding
$111.3M
Headquarters
San Francisco, CA
Founded
2015

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