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Element Biosciences

Low-cost next-generation DNA sequencing technology

Associate Director of Product Management - Multiple Teams

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USA

About the Job

Requirements

  • A life sciences degree with 8+ years of product management experience, or an advanced degree with 6+ years of product management experience, 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 research and development or engineering teams on software or bioinformatics products.
  • Ability to independently conduct partner- and customer-facing conversations about data strategy, business models, and artificial intelligence.
  • Flexibility in working hours, as the position may require customer support during non-regular business hours.

Responsibilities

  • Define and evolve the product vision, strategy, and roadmap for software and bioinformatics tools.
  • Align internal research and development teams and external users around a shared vision that enables multiomic analysis.
  • Translate business goals and customer insights into product initiatives aligned with the company's mission.
  • Work with researchers, bioinformaticians, and research and development software engineering teams to understand workflows, pain points, and data needs.
  • Prioritize features and requirements based on voice of customer, usage data, and business impact, using the product management team's process to maximize feature return on investment.
  • Represent the company in discussions with pharmaceutical, biotechnology, and artificial intelligence or technology partners about structuring access to and monetization of multiomics data, including data licensing, co-development, and platform or application programming interface models.
  • Contribute to pharmaceutical alliance discussions where artificial intelligence implementation or data analysis is key to success.
  • Develop and maintain the company's perspective on where artificial intelligence creates product value, and evaluate technology and data partners for build-versus-partner decisions.
  • Collaborate with software engineers, bioinformaticians, research and development, and commercial and marketing teams to deliver solutions.
  • Define and own detailed product requirements, including product requirements documents and user stories, and participate in the product management leadership team and core teams.
  • Collaborate with commercial and support teams to support successful launches, training, and customer adoption.
  • Monitor usage metrics and customer satisfaction, and iterate to ensure product-market fit.
  • Travel 20–25% in the United States and internationally for partner and customer engagements.

Desired Qualifications

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

About the Company

Element Biosciences

Low-cost next-generation DNA sequencing technology

Element Biosciences offers the AVITI System, a compact benchtop sequencing platform that provides high-accuracy DNA sequencing at a low cost. The system delivers sequencing data on a small instrument and can be integrated into workflows through partners like QIAGEN, enabling complete NGS solutions. It differentiates itself with a low per-read price of $1 per million reads, strong ecosystem partnerships, and initiatives like the AVITI for All Grant that funds free sequencing. Its goal is to make DNA sequencing more affordable and accessible for academic and industry customers, helping more projects fit within tighter budgets.

Company size
201-500
Company stage
Series E
Total funding
$853M
Headquarters
San Diego, CA
Founded
2017

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