About this Head of Product, Atlas Software Platform role at A-Alpha Bio
A-Alpha Bio is an early-stage, rapidly growing biotechnology platform company headquartered in Seattle, WA. We are focused on building the foundational data layer for AI-driven protein engineering. We provide biopharma companies and model builders with access to ground truth experimental datasets, including affinity and structure, for training, benchmarking and validating AI protein models. In parallel, we apply our data and models directly with select partners to engineer next-generation dual-specific and molecular glue therapeutics, and to discover and optimize differentiated 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’ll find 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 belong at A-Alpha Bio!
