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Head of Product & Engineering
Head of Product & EngineeringVerge Genomics, Inc. • San Francisco, CA, United States
Head of Product & Engineering

Head of Product & Engineering

Verge Genomics, Inc. • San Francisco, CA, United States
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Head of Product & Engineering role at Verge Genomics.

Your Mission

Drive the evolution of CONVERGE, our AI-powered discovery engine, into new revenue-generating product lines and transform how biotech leverages human data.

12 Month Outcomes

  • Launch new Insights as a Service product that books $3M in year one revenue
  • Develop 3 year product strategy to scale ARR to >

$30M

  • Ship an MVP self-service software platform leading to a 50% reduction in service-hours / project
  • Deliver a biology foundation model with AI partners that outperforms public evals
  • Grow Verge’s proprietary tissue dataset by 30% in Y1 by developing a capital-efficient growth flywheel for human tissue
  • You Will Own

    Product Strategy & Execution

  • Own the full lifecycle of CONVERGE’s product evolution—vision, roadmap, delivery, and iteration
  • Translate corporate strategy into a phased product plan (0 → 1 → N) that sequences services, self-serve SaaS, and data licensing opportunities
  • Define and track core product KPIs : usage, margin uplift, time-to-value, and revenue per customer
  • Distill messy inputs from customers into focused product insights and monetizable workflows
  • Maintain and prioritize a live backlog of technical product experiments ranked by ROI and velocity
  • Build early scrappy prototypes that clarify product direction
  • Drive strategy to expand proprietary datasets with cost efficiency
  • Audit Verge's engineering capabilities; recruit, mentor, and up-level a small, high-performing team with a culture of rapid iteration and product excellence
  • Establish a tight product-engineering operating cadence (continuous discovery, frequent shipping)
  • AI Innovation

  • Work closely with AI tech partners to co-develop new bio foundation models, including defining data requirements, evals, model objectives, and driving commercial alignment
  • Drive rapid iteration from off-the-shelf models to proprietary multimodal models integrating Verge's proprietary datasets
  • Build agentic workflows that translate model outputs into actionable insights for drug developers
  • Continuously scout emerging AI technologies (e.g. multi-modal models, agentic frameworks) and adapt quickly
  • Customer Delivery

  • Lead the delivery of CONVERGE-powered services to pharma and biotech customers
  • Ensure output quality, turnaround time, and customer satisfaction exceed expectations
  • Embed within BD and translate customer feedback into scalable products
  • Automate internal workflows to improve engineer productivity and throughput
  • Deliver products that are intuitive, impactful, and well-integrated into pharma / biotech workflows
  • Requirements

  • 6+ years of product or engineering experience with 2+ years in AI / ML or data-centric product areas
  • Shipped 0 to 1 products ideally in AI / ML, life sciences, or enterprise SaaS
  • Experience working directly with foundation models, including designing evals and deploying fine-tuned / custom models
  • Experience building internal tools for cross-functional stakeholders
  • Technical fluency : Can build early demos yourself (Python, LangChain, vector stores, ML Ops) and set engineering direction
  • Strategic thinker : Fluency in SOTA in AI / ML with sophisticated perspective on future directions and vertical applications
  • Business acumen : Understanding of enterprise business models (e.g. SaaS, IaaS)
  • Strong product sense : ability to turn ambiguous customer problems into elegant solutions
  • Track record of managing technical teams
  • Founder or entrepreneurial mindset bias to action, thrives in uncertainty, ruthless prioritization
  • Nice to have but not required : Exposure to pharma, biotech, or life sciences settings
  • What’s In It For You

  • An opportunity to leverage your technical skills to help millions of patients suffering from the biggest medical challenges of our time
  • Ability to set your own hours – we care more accomplishing great work, not how many hours or where you work
  • Opportunity to rewrite the standard biotech business playbook and shape new strategies for integrating multimodal datasets and AI into drug discovery workflows
  • Stunning colleagues who are pioneers in AI-enabled drug discovery
  • A drama-free culture steeped in authenticity, transparency, and vulnerability
  • A true strategic and thought partnership with the CEO
  • Ground floor seats at a high growth company during a critical inflection point
  • Values

  • Ability to thrive in uncertainty with frequently changing priorities
  • Deep alignment with our values
  • A passion for making an impact on patients
  • Referrals increase your chances of interviewing at Verge Genomics by 2x.

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