Associate Principal Product Manager - Genomics Workflow Orchestration Platform

About the Role Clinical genomics labs today run multiple disconnected applications, creating manual handoffs, transcription errors, and significant integration overhead per site.The future of this space is a unified orchestration layer that connects every step from sample intake to clinical insight, powered by intelligent automation and AI. We’re building that future.As an Associate Principal Product Manager on the Orchestration team, you’ll own the vision and execution of our workflow orchestration platform.You’ll define the capabilities, core concepts, and user experiences that tie together instruments, software systems, and data across the lab and drive adoption from early validation through broad market impact.This is a multi‑year, career‑defining opportunity to shape how genomics labs operate.It’s not a feature role: it’s a platform leadership role with the scope to define a new category.This is a role for a modern SaaS platform PM who thrives in ambiguity, thinks in systems, and raises the bar for clarity, design quality, and execution.You are also AI‑forward in how you work: you use AI daily to research, validate assumptions, prototype ideas, draft narratives, and vibe‑code functional proofs of concept.You see AI not as a novelty but as a core part of your operating model as a product manager. The Team You’ll join a team of PMs focused on the orchestration portfolio, reporting to the Director of Product Management.You’ll work closely with engineering, design, and data science partners dedicated to this platform, as well as adjacent product teams across workflow automation, on‑prem orchestration, LIMS, and lab automation partnerships.This is a team that takes product craft seriously, embraces AI to work smarter, and believes the best ideas win regardless of where they come from. What You’ll Do Own the orchestration platform vision and roadmap Define the long‑term product strategy for how labs move from fragmented tools to unified orchestration Prioritize across dry‑lab orchestration, wet‑lab automation integration, and high‑volume lab scaling Translate complex domain problems into clear product direction that engineering and design can execute against Define and validate a pricing and packaging model that aligns platform value with customer outcomes Shape the intelligent orchestration layer Define intelligent workflow automation that adapts based on conditions, context, and user intent Drive AI‑assisted decisioning: optimized batching, predictive QC, anomaly detection, and run‑time recommendations Design platform primitives that allow teams to build capabilities consistently and safely Define APIs and integration contracts that internal teams and external partners build on confidently Ensure auditability, traceability, and compliance‑ready AI behavior is embedded from day one Champion product excellence and customer empathy Work with Design to create intuitive workflows that feel human‑centered, not machine‑centered Drive clarity and simplicity into complex orchestration surfaces Obsess over the details: interaction flows, observability, error handling, and user trust signals Lead cross‑functional strategy 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 Create crisp narratives that bring order to complex technical choices Mentor PMs in systems thinking, customer empathy, and AI‑enabled product development What Success Looks Like Defined a compelling platform vision and roadmap that earns buy‑in across engineering, design, and leadership Shipped orchestration capabilities validated through customer engagement Enabled AI‑powered workflow features that measurably reduce user effort and manual steps Established platform primitives adopted across multiple products Demonstrated AI‑forward working practices that accelerate the team’s ability to research, prototype, and validate Raised the bar on product execution through better mechanisms, documentation, and cross‑team clarity What You Bring (Qualifications) Typically requires a minimum of 15 years of related experience with a Bachelor’s degree; or 12 years and a Master’s degree; or a PhD with 8 years of experience; or equivalent experience. Strong experience w/ SaaS products, platforms, or automation systems Experience shipping a product from 0→1 or early stage through market validation Experience with workflow engines, orchestration frameworks, or cloud platform architecture Deep comfort with ambiguity and complex systems A tasteful product sense with a strong POV on UX, information architecture, and simplicity Exceptional communication and narrative writing Demonstrated success leading multi‑team efforts and influencing architecture Demonstrated fluency with AI tools in your product management practice: you use AI for research, competitive analysis, prototyping, narrative drafting, data exploration, or vibe‑coding functional proofs of concept. You don’t just talk about AI, you ship with it. Preferred Track record of building platform products that other teams build on top of (internal platforms, developer ecosystems, integration layers) Experience defining new categories or creating markets where none existed before Experience with outcome‑based, usage‑based, or value‑aligned pricing models Comfort operating in regulated, compliance‑sensitive, or safety‑critical environments (any industry) Familiarity with ML and AI patterns (model lifecycle, inference, data quality) beyond using AI tools Domain experience in life sciences, diagnostics, lab automation, or scientific workflows is a plus but not required. We value product builders who can learn a domain fast over domain experts learning to build product. Why Join Us You’ll define the orchestration layer that connects the entire genomics workflow and infuse it with AI from the ground up.Software orchestration is the next growth lever for the industry, and this role puts you at the center of that shift.This isn’t incremental feature work on a mature product. It’s a platform leadership role with the vision, investment, and team to make it real.You won’t be handed a spec. You’ll be handed a mission and the expectation to turn it into a product that labs want to buy. Compensation The estimated base salary range for this role based in the United States of America is: $187,400 – $281,000.The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range.All employees are eligible for one of our variable cash programs (bonus or commission) and may receive equity as part of the compensation package. Benefits We offer a wide range of benefits: access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. EEO Statement Illumina is an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.Illumina conducts background checks on applicants for whom a conditional offer of employment has been made.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws.Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process.If you require accommodation to complete the application or interview process, please contact View email address on click.appcast.io position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.This role is not eligible for visa sponsorship. #J-18808-Ljbffr Illumina