At Parallel Bio, we are leveraging the human immune system to unlock safer, more effective drugs. We believe immunotherapies are the future of medicine, but their discovery is hindered by outdated models that fail to capture the complexity of the human immune system.

Our platform overcomes these challenges by combining best-in-class human immune organoids with massive scale and advanced computational methods, including AI and machine learning. This allows us to generate unprecedented, population-scale insights into human health and disease.

We can rapidly discover new drugs that we know will work in patients from the start and understand how they will perform across an entire population—something not possible with today's technology. This knowledge will allow us to engineer therapies that will work for as many people as possible, ensuring a safe and effective cure for everyone.

We are a fast-paced, venture-backed company at a pivotal moment of growth. Join us on our journey as we create new tools to push the boundaries of what is possible.

The Role

We are looking for a Fractional Head of Product to own and execute on a defined set of workstreams within the Data & Infrastructure team. This role sits across three layers from a product perspective: understanding what the physical infrastructure produces, how the back end structures and serves it, and how the front end surfaces it. The immediate priority is a platform evaluation and build-vs-buy analysis for our data infrastructure, followed by a rightsizing of the front-end data layer. This is an execution role with a clear mandate.

The right candidate has product-managed data-intensive systems and can operate across technical and scientific teams autonomously.

What You Would Own

• Sequencing data integration and tooling work across internal use cases (experiment design, execution tracking, QC, analytical workflows) and external-facing deliverables (data packages, reports)
• Translating scientific and commercial data needs into clear specs for engineering, working closely with computational biology, data engineering, and automation teams
• Defining product direction for the interfaces, dashboards, and visualization tools through which scientists and partners interact with our biological data
• If a platform change is warranted, outlining a de-risked migration path (pilot, parallel run, validation) that protects production workflows
• Drafting decision memos that frame tradeoffs clearly for leadership, covering team impact, database setup speed, development velocity, and total cost of ownership
• Inventorying current platform usage, workflows, integrations, and pain points to produce a build-vs-buy recommendation
• Leading a structured assessment of our current data infrastructure against alternatives, including cost, speed, hiring implications, and switching costs

Experience

• 5+ years of technical product management, with meaningful time in data-intensive environments
• Familiarity with scientific data workflows, LIMS, or laboratory informatics; Benchling experience is a plus
• Track record of managing data platform or infrastructure products, including build-vs-buy evaluations, vendor assessments, or migration planning
• Strong written output: decision memos, specs, roadmaps, and tradeoff analyses that leadership can act on without a meeting
• Prior product role spanning technical execution and organizational coordination at a startup
• Familiarity with laboratory automation systems and instrument-to-data pipeline architecture

Working Style

• High agency; you default to execution with incomplete information and organize around the highest-value work without waiting for direction
• Clear communicator who can move between engineering architecture discussions and leadership briefings in the same afternoon
• Builds trust with scientific teams by understanding their workflows at a working level, not treating scientific context as overhead
• Comfortable in early-stage environments where resources are constrained and clarity is something you create rather than inherit

Location & Hours

This is an in-person role based at our San Francisco office, approximately 20 hours per week. You’ll embed directly with our engineering team to drive execution and ensure cross-functional alignment operate productively from planning to completion.

Parallel Bio is an equal opportunity employer committed to fostering an inclusive and respectful workplace. We encourage applications from individuals of all backgrounds, regardless of age, gender, ethnicity, religion, disability, or sexual orientation.