Staff Product Manager - Genomics Workflow Orchestration Platform

Role

Staff Product Manager for a genomics workflow orchestration platform owning long-term vision, roadmap, and execution. The role focuses on building a unified orchestration layer that connects sample intake through clinical insight and embeds intelligent automation and AI across lab workflows.

Key Responsibilities

• Own the orchestration platform vision and roadmap; prioritize across dry-lab orchestration, wet-lab automation integration, and scaling for high-volume labs.
• Translate complex domain problems into clear product direction for engineering and design.
• Define intelligent workflow automation and AI-assisted decisioning (optimized batching, predictive QC, anomaly detection, run-time recommendations).
• Design platform primitives, APIs, and integration contracts for internal teams and external partners.
• Ensure auditability, traceability, and compliance-ready AI behavior is embedded from day one.
• Work with Design to create human-centered workflows and drive clarity in interaction flows, observability, error handling, and user trust signals.
• Influence long-term architecture across engineering, data science, UX, quality, and scientific stakeholders.
• Coordinate with adjacent product teams on integration contracts and cross-product dependencies.
• Mentor other PMs in systems thinking, customer empathy, and AI-enabled product development.

Requirements

Required

• 8+ years building SaaS products, platforms, or automation systems.
• Experience shipping a product from early stages (0→1) through market validation.
• Experience with workflow engines, orchestration frameworks, or cloud platform architecture.
• Strong systems thinking and comfort with ambiguity.
• Strong product sense, UX and information architecture skills.
• Exceptional communication and narrative writing.
• Demonstrated success leading multi-team efforts and influencing architecture.
• Demonstrated fluency using AI tools in product practice (research, prototyping, narrative drafting, data exploration, vibe-coding proofs of concept).

Preferred

• Track record building platform products and integration layers used by other teams.
• Experience defining new categories or creating markets.
• Experience with outcome-based, usage-based, or value-aligned pricing models.
• Familiarity with ML/AI patterns (model lifecycle, inference, data quality).
• Domain experience in life sciences, diagnostics, lab automation, or scientific workflows is a plus.

Success Criteria (first year)

• Define a compelling platform vision and roadmap with cross-functional buy-in.
• Ship orchestration capabilities validated through customer engagement.
• Enable AI-powered workflow features that reduce manual effort.
• Establish platform primitives adopted across multiple products.
• Demonstrate AI-forward working practices for research, prototyping, and validation.
• Improve product execution through better documentation and cross-team clarity.