Product Manager – 3D Spatial Biology Platforms

Stellaromics Inc.Boston, MA
34d

About The Position

The Product Manager, 3D Spatial Biology Platforms will play a central role in defining product strategy, managing product lifecycle, and driving successful adoption of the Pyxa™ 3D spatial biology platform. This role partners closely with R&D, engineering, software, commercial, marketing, and customer-experience teams to deliver products that delight scientists and accelerate discovery. The ideal candidate brings experience in product management and a strong understanding of spatial biology, single-cell technologies, imaging-based assays, or related genomics tools. This is a high-visibility, cross-functional position with significant strategic and execution responsibility.

Requirements

  • Bachelor’s degree in Life Sciences, Bioengineering, Biotechnology, or related field.
  • 3–5+ years of product management experience in life-science tools, diagnostics, or technology-driven scientific products.
  • Strong understanding of customer workflows in genomics, imaging, or spatial biology.
  • Demonstrated ability to drive cross-functional projects and deliver results in fast-paced environments.
  • Excellent communication skills (written, verbal, and presentation).
  • Strong analytical thinking, attention to detail, and user-centric mindset.
  • Willingness to travel as needed to customer sites, beta locations, and scientific conferences.

Nice To Haves

  • Experience with spatial biology multi-omics platforms, imaging-based assays, or single-cell technologies.
  • Advanced degree (MS or PhD) in a relevant scientific discipline.
  • Experience supporting field teams, beta programs, and customer-facing scientific interactions.
  • Familiarity with Agile processes, PRDs, Jira/DevOps boards, and product-lifecycle best practices.

Responsibilities

  • Develop and refine product strategy and roadmap for Pyxa™ system, workflows, and informatics solutions.
  • Translate customer insights, competitive intelligence, and emerging scientific/market trends into clear product requirements.
  • Prioritize features and initiatives using data-driven frameworks aligned with company objectives and commercial goals.
  • Define key applications and market segments to guide product focus, commercial strategy, and scientific collaborations.
  • Lead ongoing competitive landscaping and market intelligence efforts to identify differentiation opportunities and inform strategic positioning.
  • Lead cross-functional teams through development phases from concept → feasibility →development → launch.
  • Create PRDs, user stories, acceptance criteria, and use-case documentation.
  • Drive beta testing strategy, including site selection, training coordination, success metrics, and structured feedback incorporation.
  • Partner with engineering, assay, and software teams to ensure timely releases and high-quality performance.
  • Serve as a product expert during customer conversations, technical evaluations, and early-access programs.
  • Engage with KOLs, collaborators, and customers to gather insights and identify emerging use cases.
  • Analyze customer feedback, NPS insights, and field-support data to inform roadmap and improve user experience.
  • Collaborate with marketing on positioning, messaging, value propositions, and competitive differentiation.
  • Support sales enablement through training, demo materials, launch kits, and presentations.
  • Contribute to revenue forecasts, pricing strategy, and business-case development.

Benefits

  • Innovative Technology: Be part of a company at the cutting edge of spatial biology and genomics, revolutionizing the way researchers understand biology.
  • Impactful Role: You will have a significant impact on the department and the future of the company.
  • Collaborative Environment: Work with a talented, passionate team in a culture that values creativity, innovation, and teamwork.
  • Career Growth: As a high-growth company, we offer significant opportunities for professional development and career advancement.
  • An attractive compensation and benefits package based on market pay data will be commensurate with candidate skills, qualifications, and experience.
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