Associate Director, Product Management – Software, Multiomics Data Partnerships

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. 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