Verge Genomics, Inc.
Head of Product & Engineering
Verge Genomics, Inc., San Francisco, California, United States, 94199
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.
Get notified about new Head of Product jobs in San Francisco, CA.
#J-18808-Ljbffr
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.
Get notified about new Head of Product jobs in San Francisco, CA.
#J-18808-Ljbffr