Associate Director, Product Management – Software, Multiomics Data Partnerships

Element Biosciences•San Diego, CA

5d•$180,000 - $226,000•Onsite

About The Position

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 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.

Requirements

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
Background in genomics, multiomics, or a closely related life-science domain; you need to understand what the data means, not just how it's structured
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

Nice To Haves

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

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