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A-Alpha Bio

Biologics discovery via high-throughput affinity screening

Head of Product - Atlas Software Platform

Technical Product ManagementPosted on Nov 10
Full-time$190k - $232k /yr

About the Job

Requirements

  • A 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; an equivalent combination of education and experience is also accepted.
  • A 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, as well as user experience research and implementation.
  • Ability to engage credibly with engineers on architecture, data systems, and technical tradeoffs, and directly with customers on user experience.
  • A track record of delivering a predictable cadence against external dependencies and partner timelines.
  • Ability to operate hands-on, write specifications, and ship without a supporting product organization.

Responsibilities

  • Translate the business vision and roadmap owned by the commercial team into a platform roadmap and software experience.
  • Bring platform feasibility, cost, and sequencing into commercial planning early enough to make an impact.
  • Define and track platform and user experience adoption and utilization metrics, such as active users, application programming interface and software development kit usage, and integration depth.
  • Define what to build versus buy, keeping a small team focused on maximizing platform value for customers.
  • Treat the data contract as a product by maintaining stable schemas, versioning, deprecation, and documentation.
  • Design the path from a customer's first application programming interface call to production use, with samples, references, and self-service tooling.
  • Run discovery with platform users, including engineering and scientific customers, and turn their needs into requirements.
  • Communicate with engineering staff while iterating on experiment submission, data access and delivery, search, and related platform capabilities.
  • 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.
  • Own entitlements and access control, mapping them exactly to customer agreements and ensuring they withstand enterprise security review.
  • Define requirements for provider and laboratory information management system integrations that keep data flowing reliably into the platform.
  • Build product analytics and usage telemetry from a near-standing start.
  • Partner with the SVP of Data Science on hiring and scoping the team that will deliver product, platform, and user experience/design.

Desired Qualifications

  • Work experience as a software engineer.
  • Familiarity with life sciences, drug discovery, or laboratory data environments.
  • Experience with data platforms or machine learning developer tooling, and familiarity with how machine learning teams consume training data.
  • Experience with open-source engagement and productization.
  • Experience with multi-tenant software as a service, 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 artificial intelligence tools such as large language models and agents for specification, prototyping, and analysis.

About the Company

A-Alpha Bio

Biologics discovery via high-throughput affinity screening

A-Alpha Bio helps drug developers accelerate discovery of biologics, which are therapeutic proteins. Its platform rapidly and quantitatively measures millions of protein–protein binding affinities, enabling simultaneous characterization of how a library of proteins binds to many targets. This allows screening antagonists across full interaction networks and identifying biologics with specificity to multiple targets. Revenue comes from service contracts, licenses, and collaborative partnerships with pharmaceutical and biotech firms. The company differentiates itself by providing a scalable, quantitative binding-measurement platform that can profile binding across large target networks, supporting fast, targeted discovery. Its goal is to advance drug discovery by delivering high-precision binding data to enable the design of specific, effective biologics.

Company size
11-50
Company stage
Grant
Total funding
$63.2M
Headquarters
Seattle, WA
Founded
2017

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