Head of Product, Atlas Software Platform

A-Alpha Bio•Seattle, WA

16h•$190,000 - $232,000•Remote

About The Position

A-Alpha Bio is seeking its first product hire for Atlas, the company’s software platform. The platform includes a web application, SDK, and APIs that customers use to design experiments, access licensed datasets, and integrate data into machine-learning workflows. This hands-on, player-coach role owns product definition and delivery, along with technical adoption and utilization, translating the commercial team’s vision into a platform and software experience. The role partners across commercial, engineering, data science, laboratory systems, and provider integrations, and works with the SVP, Data Science on hiring and team scope. The position is remote-eligible, with quarterly travel to the Seattle headquarters; candidates must reside in the United States, and Seattle-based candidates are preferred.

Requirements

Bachelor’s degree in computer science, engineering, or a related discipline, with 8+ years of software product or technical program management experience, including 3+ years owning a developer-facing platform, API, or data product end-to-end; or an equivalent combination of education and experience.
Track record of building and scaling software platforms for technical users, with measurable growth in adoption and usage.
Experience owning API and SDK product decisions, including design, versioning, deprecation, and UX research and implementation.
Ability to engage credibly with engineers on architecture, data systems, and technical tradeoffs, and directly with customers on user experience.
Track record of delivering on a predictable cadence despite external dependencies and partner timelines.
Ability to work hands-on, writing specifications and shipping without a supporting product organization.
Must reside in the United States.

Nice To Haves

Work experience as a software engineer.
Familiarity with life sciences, drug discovery, or laboratory data environments.
Experience with data platforms or ML developer tooling, and familiarity with how ML teams consume training data.
Experience with open-source engagement and productization.
Experience with multi-tenant SaaS, entitlements, and enterprise security and procurement review.
Experience at a startup or early-stage company, ideally as an early product hire.
Hands-on experience with AI tools such as LLMs and agents for specification, prototyping, and analysis.
Candidates local to Seattle are preferred.

Responsibilities

Translate the commercial team’s business vision and roadmap into a platform roadmap and software experience.
Bring platform feasibility, cost, and sequencing into commercial planning early enough to influence decisions.
Define and track platform and user experience adoption and utilization metrics, including active users, API and SDK usage, and integration depth.
Decide what to build versus buy while keeping a small team focused on maximizing customer value.
Own the data contract as a product, including stable schemas, versioning, deprecation, and documentation.
Design the path from first API call to production use, including samples, references, and self-service tooling.
Conduct discovery with engineering and scientific platform users and turn their needs into requirements.
Work with engineering staff to iterate on experiment submission, data access and delivery, search, and related platform capabilities.
Own predictable platform releases across engineering, data science, laboratory systems, and provider integrations.
Partner with engineering on architecture, scalability, and reliability tradeoffs.
Own entitlements and access control, aligning them with customer agreements and enterprise security review needs.
Define requirements for provider and LIMS integrations that maintain reliable data flow into the platform.
Build product analytics and usage telemetry.
Partner with the SVP, Data Science on hiring and scoping the team responsible for product, platform, and UX/design.