Verge Genomics
Head of Product & Engineering
Verge Genomics, San Francisco, California, United States, 94199
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Head of Product & Engineering
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Verge Genomics Who We Are: Technology has transformed almost every aspect of our lives. Verge Genomics uses AI to accelerate drug discovery and development. Our mission is to develop better drugs, faster using AI to improve clinical success rates. CONVERGE, our AI drug discovery engine, houses a proprietary multi-modal human tissue dataset. We use machine learning to map disease causes, discover targets with higher success probability, and de-risk development decisions. We have delivered new targets from data to clinical drugs, discovered targets, and signed commercial partnerships. We have raised capital from top-tier investors. We are engineers, neuroscientists, and drug developers united around a vision to build the next Genentech of the digital age. Your Mission We are looking for a 0-to-1 technical product leader to drive the evolution of CONVERGE into new revenue-generating product lines and transform how biotech leverages human data. Your 12 Month Outcomes Launch new Insights as a Service product with $3M in year one revenue Develop a 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 evaluations Grow Verge’s proprietary tissue dataset by 30% in Year 1 with a capital-efficient growth flywheel 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 rapid iteration and product excellence Establish a tight product–engineering operating cadence (continuous discovery, frequent shipping) AI Innovation Work with AI tech partners to co-develop new bio foundation models, including data requirements, evals, model objectives, and commercial alignment Drive rapid iteration from off-the-shelf models to proprietary multimodal models using Verge’s datasets Build agentic workflows translating model outputs into actionable insights for drug developers Continuously scout emerging AI technologies and adapt quickly Customer Delivery Lead delivery of CONVERGE-powered services to pharma and biotech customers Ensure output quality, turnaround time, and customer satisfaction Embed within BD and translate customer feedback into scalable products Automate internal workflows to improve engineer productivity 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 with foundation models, including designing evals and deploying fine-tuned/custom models Experience building internal tools for cross-functional stakeholders Technical fluency: able to build early demos (Python, LangChain, vector stores, MLOps) and set engineering direction Strategic thinker: fluency in AI/ML state-of-the-art and future directions Business acumen: understanding of enterprise models (e.g., SaaS, IaaS) Strong product sense: turning ambiguous problems into elegant solutions Track record of managing technical teams Founder or entrepreneurial mindset with bias to action and prioritization under uncertainty Nice to have: exposure to pharma, biotech, or life sciences What’s In It For You Opportunity to leverage technical skills to help patients with major medical challenges Flexible hours; focus on outcomes, not hours or location Chance to redefine biotech business playbooks and integrate multimodal datasets and AI into drug discovery Collaborate with pioneers in AI-enabled drug discovery Transparent, authentic, and collaborative culture Strategic partnership with the CEO Ground-floor role at a high-growth company We seek candidates who embrace our values and way of working: Ability to thrive in uncertainty with changing priorities Deep alignment with our values Passion for impacting patients Seniority level
Executive Employment type
Full-time Job function
Product Management and Marketing Referrals increase your chances of interviewing at Verge Genomics. We are an equal opportunity employer and value diversity.
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Head of Product & Engineering
role at
Verge Genomics Who We Are: Technology has transformed almost every aspect of our lives. Verge Genomics uses AI to accelerate drug discovery and development. Our mission is to develop better drugs, faster using AI to improve clinical success rates. CONVERGE, our AI drug discovery engine, houses a proprietary multi-modal human tissue dataset. We use machine learning to map disease causes, discover targets with higher success probability, and de-risk development decisions. We have delivered new targets from data to clinical drugs, discovered targets, and signed commercial partnerships. We have raised capital from top-tier investors. We are engineers, neuroscientists, and drug developers united around a vision to build the next Genentech of the digital age. Your Mission We are looking for a 0-to-1 technical product leader to drive the evolution of CONVERGE into new revenue-generating product lines and transform how biotech leverages human data. Your 12 Month Outcomes Launch new Insights as a Service product with $3M in year one revenue Develop a 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 evaluations Grow Verge’s proprietary tissue dataset by 30% in Year 1 with a capital-efficient growth flywheel 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 rapid iteration and product excellence Establish a tight product–engineering operating cadence (continuous discovery, frequent shipping) AI Innovation Work with AI tech partners to co-develop new bio foundation models, including data requirements, evals, model objectives, and commercial alignment Drive rapid iteration from off-the-shelf models to proprietary multimodal models using Verge’s datasets Build agentic workflows translating model outputs into actionable insights for drug developers Continuously scout emerging AI technologies and adapt quickly Customer Delivery Lead delivery of CONVERGE-powered services to pharma and biotech customers Ensure output quality, turnaround time, and customer satisfaction Embed within BD and translate customer feedback into scalable products Automate internal workflows to improve engineer productivity 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 with foundation models, including designing evals and deploying fine-tuned/custom models Experience building internal tools for cross-functional stakeholders Technical fluency: able to build early demos (Python, LangChain, vector stores, MLOps) and set engineering direction Strategic thinker: fluency in AI/ML state-of-the-art and future directions Business acumen: understanding of enterprise models (e.g., SaaS, IaaS) Strong product sense: turning ambiguous problems into elegant solutions Track record of managing technical teams Founder or entrepreneurial mindset with bias to action and prioritization under uncertainty Nice to have: exposure to pharma, biotech, or life sciences What’s In It For You Opportunity to leverage technical skills to help patients with major medical challenges Flexible hours; focus on outcomes, not hours or location Chance to redefine biotech business playbooks and integrate multimodal datasets and AI into drug discovery Collaborate with pioneers in AI-enabled drug discovery Transparent, authentic, and collaborative culture Strategic partnership with the CEO Ground-floor role at a high-growth company We seek candidates who embrace our values and way of working: Ability to thrive in uncertainty with changing priorities Deep alignment with our values Passion for impacting patients Seniority level
Executive Employment type
Full-time Job function
Product Management and Marketing Referrals increase your chances of interviewing at Verge Genomics. We are an equal opportunity employer and value diversity.
#J-18808-Ljbffr