Head of Product & Engineering

Who We AreTechnology has transformed almost every single aspect of our lives. Yet, it still takes 12 years to develop a single drug. Thousands of diseases affecting hundreds of millions of people have no effective treatment. Accelerating the pace of bringing effective, new medicines to patients is one of the greatest opportunities for humanity. The biggest driver of rising drug development timelines today are the high rates of drug failures in clinical trials.Our mission is to develop better drugs, faster using AI to improve clinical success rates. CONVERGE, our AI drug discovery engine, houses one of the field’s largest proprietary multi-modal human tissue datasets. We use machine learning to map the complex causes of disease, discover new targets with a greater probability of success, and de-risk development decisions.We have delivered 2 new targets from data to clinical drugs, discovered 282 new targets, and signed 2 commercial partnerships with Eli Lilly and AstraZeneca totalling $1.6B. We have raised $180M from top tier investors (e.g. BlackRock, Eli Lilly, Merck, Section 32, Threshold Ventures, Y Combinator, etc.). We are a team of engineers, neuroscientists, and drug developers united around an audacious vision: to build the next Genentech of the digital age.Your MissionWe are looking for a 0-to-1 technical product leader to drive the evolution of CONVERGE, our AI-powered discovery engine, into new revenue-generating product lines and transform how biotech leverages human data.Your 12 Month OutcomesLaunch new Insights as a Service product that books $3M in year one revenueDevelop 3 year product strategy to scale ARR to >$30MShip an MVP self-service software platform leading to a 50% reduction in service-hours/projectDeliver a biology foundation model with AI partners that outperforms public evalsGrow Verge’s proprietary tissue dataset by 30% in Y1 by developing a capital-efficient growth flywheel for human tissueYou Will OwnProduct Strategy & Execution Own the full lifecycle of CONVERGE’s product evolution—vision, roadmap, delivery, and iterationTranslate corporate strategy into a phased product plan (0 → 1 → N) that sequences services, self-serve SaaS, and data licensing opportunitiesDefine and track core product KPIs: usage, margin uplift, time-to-value, and revenue per customerDistill messy inputs from customers into focused product insights and monetizable workflowsMaintain and prioritize a live backlog of technical product experiments ranked by ROI and velocityBuild early scrappy prototypes that clarify product directionDrive strategy to expand proprietary datasets with cost efficiencyAudit Verge's engineering capabilities; recruit, mentor, and up-level a small, high-performing team with a culture of rapid iteration and product excellenceEstablish a tight product-engineering operating cadence (continuous discovery, frequent shipping)AI InnovationWork closely with AI tech partners to co-develop new bio foundation models, including defining data requirements, evals, model objectives, and driving commercial alignmentDrive rapid iteration from off-the-shelf models to proprietary multimodal models integrating Verge's proprietary datasetsBuild agentic workflows that translate model outputs into actionable insights for drug developersContinuously scout emerging AI technologies (e.g. multi-modal models, agentic frameworks) and adapt quicklyCustomer DeliveryLead the delivery of CONVERGE-powered services to pharma and biotech customersEnsure output quality, turnaround time, and customer satisfaction exceed expectationsEmbed within BD and translate customer feedback into scalable productsAutomate internal workflows to improve engineer productivity and throughputDeliver products that are intuitive, impactful, and well-integrated into pharma/biotech workflowsRequirements6+ years of product or engineering experience with 2+ years in AI/ML or data-centric product areasShipped 0 to 1 products -- ideally in AI/ML, life sciences, or enterprise SaaSExperience working directly with foundation models, including designing evals and deploying fine-tuned/custom modelsExperience building internal tools for cross-functional stakeholdersTechnical fluency: Can build early demos yourself (Python, LangChain, vector stores, ML Ops) and set engineering directionStrategic thinker: Fluency in SOTA in AI/ML with sophisticated perspective on future directions and vertical applicationsBusiness acumen: Understanding of enterprise business models (e.g. SaaS, IaaS)Strong product sense: ability to turn ambiguous customer problems into elegant solutionsTrack record of managing technical teamsFounder or entrepreneurial mindset -- bias to action, thrives in uncertainty, ruthless prioritizationNice to have but not required: Exposure to pharma, biotech, or life sciences settingsWhat’s In It For YouAn opportunity to leverage your technical skills to help millions of patients suffering from the biggest medical challenges of our timeAbility to set your own hours – we care more accomplishing great work, not how many hours or where you workOpportunity to rewrite the standard biotech business playbook and shape new strategies for integrating multimodal datasets and AI into drug discovery workflowsStunning colleagues who are pioneers in AI-enabled drug discoveryA drama-free culture steeped in authenticity, transparency, and vulnerabilityA true strategic and thought partnership with the CEOGround floor seats at a high growth company during a critical inflection pointFinally, we seek candidates who embrace our values and way of working:Ability to thrive in uncertainty with frequently changing prioritiesDeep alignment with our valuesA passion for making an impact on patients