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Head of Product & Engineering
Verge Genomics, Inc.San Francisco, CA, United Statesjob_description.job_card.variable_days_ago
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job_description.job_card.job_descriptionShip 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 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) 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 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 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 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 Ability to thrive in uncertainty with frequently changing priorities Deep alignment with our values A passion for making an impact on patients
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
You Will Own
Product Strategy & Execution
AI Innovation
Customer Delivery
Requirements
What’s In It For You
Values
Referrals increase your chances of interviewing at Verge Genomics by 2x.
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