Head of Product, Atlas Software Platform

A-Alpha Bio; United States; Hybrid; USD 190,000 - 232,000; Full time

Job summary

A-Alpha Bio in Seattle is seeking a Head of Product to own Atlas, our web application, SDK, and APIs that power customer experiments and ML workflows. In this hands-on role, you’ll define product strategy and guide delivery to maximize platform value.

You will lead a small, high-impact team, drive platform adoption, and collaborate with engineering, data science, and lab systems. Local to Seattle is preferred; remote work is welcome with quarterly travel to HQ.

Qualifications

• 8+ years in software product or technical program management, incl. 3+ years owning a developer-facing platform or API end-to-end.
• Track record of building and scaling software platforms with measured growth in adoption and usage.
• Experience owning API and SDK product decisions, including design, versioning and deprecation, and UX research and implementation.
• Ability to engage credibly with engineers on architecture, data systems, and technical tradeoffs, as well as with customers on UX.

Responsibilities

• Translate the business vision and roadmap into a platform roadmap and software experience.
• Define platform feasibility, cost, and sequencing and incorporate into commercial planning.
• Own platform releases across engineering, data science, laboratory systems, and provider integrations on a predictable cadence.
• Partner with engineering on architecture, scalability, and reliability tradeoffs.
• Define requirements for entitlements and access control aligned with customer agreements and security reviews.

Skills

Platform ownership

API design

Data product

UX research

Engineering collaboration

Developer advocacy

Education

Bachelor’s degree in computer science, engineering, or related discipline

Tools

OpenAPI/Swagger

Cloud platforms

Data platforms

Job description

A-Alpha Biois an early-stage,rapidlygrowingbiotechnologyplatform companyheadquartered in Seattle, WA.We are focused onbuilding the foundational data layer for AI-driven protein engineering.Weprovidebiopharma companies and model builders with access to ground truthexperimentaldatasets, including affinity and structure, for training,benchmarkingand validating AI protein models.In parallel, we apply ourdata and models directly with select partners to engineer next-generation dual-specific and molecular glue therapeutics, and to discover andoptimizedifferentiated biologics.

Candidates local to Seattle are preferred, but remote applicants are welcome to apply. Candidates must reside in the United States.

Starting Salary Range: $190,000 - $232,000 annually

Exemption Status: Exempt

Location Expectations : Remote-Eligible (travel to Seattle HQ on a quarterly basis)

Reporting To : SVP, Data Science

Role Description

A-Alpha Bio is seeking a Head of Product to own our Atlas software platform: the web application, SDK, and APIs through which customers design experiments, access licensed datasets, and integrate them into machine learning workflows. In this role, you’ll turn the vision set by our commercial leadership into a platform that delivers on that vision: owning product definition and delivery, as well as technical adoption and utilization. This is a hands-on, player-coach role and the first product hire for Atlas.

Key Responsibilities

From Strategy to Platform

• Translate the business vision and roadmap owned by our commercial team into a platform roadmap and a software experience.
• Bring platform feasibility, cost, and sequencing into commercial planning early enough to make an impact.
• Define and track platform and UX adoption and utilization metrics, such as active users, API and SDK usage, and integration depth.
• Define what we build versus buy, keeping a small team focused on maximizing platform value for customers.

Developer Experience

• Treat the data contract as a product: stable schemas, versioning, deprecation, and documentation.
• Design the path from first API call to production use, with samples, references, and self-serve tooling.
• Run discovery with platform users (engineering and scientific customers), turning their needs into requirements.

Product Definition & Delivery

• Communicate with engineering staff while iterating on experiment submission, data access and delivery, search, etc.
• Own platform releases across engineering, data science, laboratory systems, and provider integrations on a predictable cadence.
• Partner with engineering on architecture, scalability, and reliability tradeoffs.

Access, Security, & Integrations

• Own entitlements and access control, mapped exactly to customer agreements and robust under enterprise security review.
• Define requirements for provider and LIMS integrations that keep data flowing reliably into the platform.

Instrumentation & Team

• Build product analytics and usage telemetry from a near-standing start.
• Partner with the SVP, Data Science on hiring and scoping the team that will deliver on product, platform, and UX/design.

Qualifications & Experience

Required

• 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 and deprecation, and UX research and implementation.
• Ability to engage credibly with engineers on architecture, data systems, and technical tradeoffs, as well as directly with customers on UX.
• Track record of delivering a predictable cadence against external dependencies and partner timelines.
• Ability to operate hands-on, writing specs and shipping without a supporting product organization.

Preferred

• 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.

In 2018, A-Alpha Bio spun out of the University of Washington’s Institute for Protein Design and Center for Synthetic Biology – both communities filled with brilliant and highly entrepreneurial scientists. Since the company’s inception, we have built and scaled AlphaSeq, our high-throughput platform for quantitatively measuring protein-protein interactions at unprecedented scale. What began as a technology for generating large, standardized affinity datasets has grown into a broader data engine for AI-driven protein engineering. New members of the team should expect a fast-paced, highly dynamic, and interdisciplinary work environment. We are building a diverse, meritocratic, and supportive team that shares our values of speaking the truth, shooting for the moon, taking the reins, playing for the team, and improving the world.

A-Alpha Bio is headquartered in a custom designed lab and office space in downtown Seattle’s Belltown neighborhood.We are fortunate to be situated in a region that is renowned for its premier outdoor activities, including hiking, biking, climbing, skiing, kayaking, sailing, and more.At A-Alpha,you’llfind many who love the outdoors, but also gamers, amateur chefs, explorers, sports fans, bakers, crafters, photographers, brewers, jetsetters, animal lovers, and artists. Whatever your passions, you belongatA-Alpha Bio!