Head of Product, Atlas Software Platform (AI)

Location: Remote-eligible for candidates residing in the United States; quarterly travel to the Seattle headquarters is required. Candidates local to Seattle are preferred.

Starting salary: $190,000–$232,000 annually.

Company

hirify.global is an early-stage biotechnology platform company building the foundational data layer for AI-driven protein engineering, including experimental datasets, protein-engineering models, and the AlphaSeq high-throughput protein-interaction platform.

What you will do

• Translate commercial vision into the Atlas platform roadmap and software experience, incorporating feasibility, cost, sequencing, and build-versus-buy decisions.
• Own product definition and delivery for the Atlas web application, SDK, APIs, experiment submission, data access and delivery, search, and related workflows.
• Define and track adoption, utilization, API, SDK, integration, analytics, and telemetry metrics.
• Develop the developer experience from first API call to production use through stable data contracts, versioning, documentation, samples, references, and self-serve tooling.
• Coordinate predictable releases across engineering, data science, laboratory systems, and provider integrations while partnering on architecture, scalability, and reliability.
• Own entitlements, access control, provider and LIMS integrations, and the future product, platform, and UX/design team scope.

Requirements

• Bachelor’s degree in computer science, engineering, or a related discipline plus 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 accepted.
• 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, UX research, and implementation.
• Ability to engage credibly with engineers on architecture, data systems, and technical tradeoffs and directly with customers on UX.
• Track record of delivering predictably against external dependencies and partner timelines.
• Ability to operate hands-on, write specifications, and ship without a supporting product organization.
• Must reside in the United States and travel to Seattle headquarters quarterly.

Nice to have

• Software engineering experience.
• Familiarity with life sciences, drug discovery, or laboratory data environments.
• Experience with data platforms, ML developer tooling, and how ML teams consume training data.
• Open-source engagement and productization experience.
• Experience with multi-tenant SaaS, entitlements, enterprise security, and procurement reviews.
• Startup or early-stage company experience, ideally as an early product hire.
• Hands-on experience with AI tools such as LLMs and agents for specification, prototyping, and analysis.

Culture & Benefits

• Fast-paced, highly dynamic, and interdisciplinary environment.
• Diverse, meritocratic, and supportive team culture focused on truth, ownership, teamwork, ambition, and improving the world.
• Remote-eligible work arrangement with quarterly Seattle headquarters travel.