Job description

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness. We are seeking an experienced Associate Director of Product Management to own our software and bioinformatics products & roadmap and to represent Element in emerging conversations about AI and multiomics data; how we structure partnerships around the data our platforms generate, and where AI creates real product value. This role is ideal for a product manager with deep life-science, therapeutics, and R&D/engineering fluency who is equally comfortable in a partner-facing conversation about data strategy and business models . This position will interface directly with R&D teams building tool and solutions and provide strategic direction to the evolution of software and AI-based products that support Element’s technology. This role will report to the SVP of Product Strategy and will be an onsite role based in San Diego. If you possess the following and want to make a meaningful impact, we invite you to explore this role. Essential Functions and Responsibilities: Define and evolve the product vision, strategy, and roadmap for Element's software and bioinformatics tools Work closely to align internal R&D teams and external users to a shared vision that enables multiomic analysis Translate business goals and customer insights into product initiatives aligned with the company's mission Work closely with researchers, bioinformaticians, and R&D software engineering to deeply understand workflows, pain points, and data needs Prioritize features and requirements based on VOC, usage data, and business impact, using the same process the rest of the PM team runs to maximize feature ROI Represent Element in conversations with pharma, biotech, and AI/technology partners about structuring access to and monetization of multiomics data: data licensing, co-development, and platform/API models Contribute to on pharma alliance conversations where AI implementation or data analysis is key to success. Build and maintain Element's point of view on where AI creates real product value, and evaluate technology/data partners for build-vs-partner decisions Collaborate with software engineers, bioinformaticians, R&D, and commercial/marketing teams to deliver high-impact solutions Define and own detailed product requirements (PRDs, user stories); sit on the PM leadership team, core teams Collaborate with commercial and support teams to drive successful launches, training, and customer adoption Monitor usage metrics and customer satisfaction, and iterate to ensure product-market fit Education and Experience: Life Sciences degree with 8+ years of product management experience (or an advanced degree with 6+ years), including end-to-end ownership of a software or bioinformatics/data product at increasing scope Demonstrated experience in therapeutics, drug discovery, or a related life-science application, with a strong understanding of how genomics and multiomics data are used to advance research and therapeutic development Track record of owning a product area end-to-end and representing it directly to executive leadership; experience mentoring or informally leading other PMs is a plus Demonstrated day-to-day collaboration with R&D/engineering teams on software or bioinformatics products Able to carry partner- and customer-facing conversations about data strategy, business models, and AI largely independently; this role represents Element in the room, not just prepares materials for someone else Prior experience structuring or negotiating a data licensing, co-development, or platform partnership (life sciences, healthcare, or an adjacent data-rich industry) is a plus Familiarity with applied AI/ML in a life-sciences or data-heavy product context is a plus Experience in a company transitioning from a hardware/consumables business model toward a software- or data-inclusive one is a plus Physical Requirements: Must be flexible in working hours as this position may require customer support during non-regular business hours Location: San Diego Travel: 20–25% in the US and internationally for partner and customer engagements Job Type: Full-time, Exempt Base Compensation Pay Range: $180,000 - $226,000 In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

Requirements

Must-haves

If you possess the following and want to make a meaningful impact, we invite you to explore this role.
Define and evolve the product vision, strategy, and roadmap for Element's software and bioinformatics tools
Work closely to align internal R&D teams and external users to a shared vision that enables multiomic analysis
Translate business goals and customer insights into product initiatives aligned with the company's mission
Work closely with researchers, bioinformaticians, and R&D software engineering to deeply understand workflows, pain points, and data needs
Prioritize features and requirements based on VOC, usage data, and business impact, using the same process the rest of the PM team runs to maximize feature ROI
Represent Element in conversations with pharma, biotech, and AI/technology partners about structuring access to and monetization of multiomics data: data licensing, co-development, and platform/API models
Contribute to on pharma alliance conversations where AI implementation or data analysis is key to success.
Build and maintain Element's point of view on where AI creates real product value, and evaluate technology/data partners for build-vs-partner decisions
Collaborate with software engineers, bioinformaticians, R&D, and commercial/marketing teams to deliver high-impact solutions
Define and own detailed product requirements (PRDs, user stories); sit on the PM leadership team, core teams
Collaborate with commercial and support teams to drive successful launches, training, and customer adoption
Monitor usage metrics and customer satisfaction, and iterate to ensure product-market fit
Life Sciences degree with 8+ years of product management experience (or an advanced degree with 6+ years), including end-to-end ownership of a software or bioinformatics/data product at increasing scope
Demonstrated experience in therapeutics, drug discovery, or a related life-science application, with a strong understanding of how genomics and multiomics data are used to advance research and therapeutic development
Demonstrated day-to-day collaboration with R&D/engineering teams on software or bioinformatics products
Able to carry partner- and customer-facing conversations about data strategy, business models, and AI largely independently; this role represents Element in the room, not just prepares materials for someone else
Must be flexible in working hours as this position may require customer support during non-regular business hours
20–25% in the US and internationally for partner and customer engagements
Full-time, Exempt

Nice-to-haves

Track record of owning a product area end-to-end and representing it directly to executive leadership; experience mentoring or informally leading other PMs is a plus
Prior experience structuring or negotiating a data licensing, co-development, or platform partnership (life sciences, healthcare, or an adjacent data-rich industry) is a plus
Familiarity with applied AI/ML in a life-sciences or data-heavy product context is a plus
Experience in a company transitioning from a hardware/consumables business model toward a software- or data-inclusive one is a plus

Application prep

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Benefits

Benefits detected in the listing.

Health Insurance

Vision

401k

Paid Time Off