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Parabilis Medicines

Develops first-in-class cancer therapeutics

Principal Product Manager - AI & Data Products

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in a scientific, engineering, or computational field, with at least 8 years of product management or product ownership experience delivering software products.
  • Experience working within life sciences, such as pharmaceutical, biotechnology, or a closely adjacent regulated sector.
  • A proven track record of delivering shipped products adopted by real users, with concrete outcomes to discuss.
  • Ability to frame problems and set direction while also going deep when a decision requires it.
  • Fluent personal use of artificial intelligence tools to automate and scale work, with sound judgment about where artificial intelligence benefits the business.
  • Strong requirements-gathering and stakeholder-management ability, including building rapport and trust.
  • Strong written and verbal communication, including briefing bench scientists and executives in language appropriate to each audience.
  • Ability to make decisions under ambiguity, commit to a direction, and adapt when evidence changes.
  • Technical fluency sufficient to work with software engineers on architecture, scope, and technical-debt tradeoffs; coding is not required.
  • Demonstrated experience with iterative, prototype-driven delivery and regular user-feedback loops.

Responsibilities

  • Help define and drive the product vision and roadmap for artificial intelligence, informatics, and data products, translating organizational strategy into a sequenced plan the team can execute.
  • Partner with stakeholders across research, development, clinical, and business functions to gather requirements, build trust, and prioritize critical needs over lower-priority requests.
  • Own execution plans, timelines, and delivery for the company-wide portfolio of artificial-intelligence-driven life-science tools; identify where artificial intelligence can automate and scale work, create reliable and reproducible data-science tools, and turn open-ended possibilities into prioritized workstreams.
  • Work with software engineers and data scientists to create clearly scoped plans with realistic timelines and communicate tradeoffs.
  • Favor functional prototypes over lengthy design documents, put working software in front of users early, gather regular feedback, and iterate.
  • Make pragmatic decisions under real timelines while protecting the long-term sustainability and quality of what is built.
  • Use artificial intelligence extensively in research, requirements, specifications, prototypes, and analysis, and set a standard for scaling a small team's output.
  • Define success measures for each product, measure adoption and impact, and hold the team and oneself accountable to those measures.

Desired Qualifications

  • Subject-matter expertise in drug discovery, research informatics, or computational biology.
  • Experience building internal artificial-intelligence or machine-learning platforms or agentic tools for non-technical users.
  • Familiarity with regulated or compliance-driven environments, including GxP, 21 CFR Part 11, HIPAA, or ISO 27001.
  • Experience as the first or only product hire in an organization and establishing product practice from scratch.

About the Company

Parabilis Medicines

Develops first-in-class cancer therapeutics

Parabilis Medicines advances drug discovery for cancer by developing a novel class of therapeutics called Helicon therapeutics. Its lead candidate, FOG-001, is a first-in-class inhibitor that blocks TCF-mediated β-catenin signaling, aimed at targeting common yet hard-to-treat drivers of cancer. The company uses integrated technologies to speed up discovery and scale development from research through potential commercialization. Compared with peers, Parabilis emphasizes a unique mechanism (TCF/β-catenin pathway inhibition) and a platform-driven approach designed to accelerate progression toward precision cancer therapies. The goal is to shape the future of precision medicine by delivering new treatments for previously untreatable diseases and advancing into clinical development with impactful candidates.

Company size
201-500
Company stage
IPO
Headquarters
Cambridge, MA
Founded
2016

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