Role Description The Technical Product Manager will contribute to Veracyte’s success by leading the product strategy, development, and lifecycle management of our Veracyte workflows, driving improvements in laboratory operations, order-to-cash processes, or analytics capabilities. This role centers on bridging technical and business needs to optimize workflow efficiency, data handoffs, and data integrity. In addition to core product management duties, the Technical Product Manager will collaborate closely with engineering, clinical, and analytics teams to champion standards-based solutions that enhance operational performance and support data-driven decision-making. This is a strategic role supporting Veracyte’s broader digital transformation in laboratory diagnostics, analytics, and order-to-cash processing. This position is based out of our South San Francisco or San Diego office (hybrid) and we are open to remote (US). Key Responsibilities - Product Ownership & Strategy - Own and manage the product backlog, including prioritization and ongoing grooming. - Define, maintain, and communicate product roadmaps for new product development and sustaining activities. - Act as the primary product decision‑maker, balancing scope, value, risk, and technical constraints. - Requirements & Planning - Lead scoping discussions and effort estimation exercises with engineering and cross‑functional teams. - Elicit, document, and manage requirements, translating user and business needs into clear user stories and acceptance criteria. - Ensure requirements are well‑defined, traceable, and aligned with overall product strategy. - Cross‑Functional Collaboration - Partner with clinical, scientific, and business stakeholders to understand workflows, user needs, and success criteria. - Collaborate closely with engineering, SQA, and operations teams to support design, development, and testing activities. - Coordinate dependencies and resolve ambiguities to keep delivery on track. - Delivery & Continuous Improvement - Support release planning, execution, and readiness, including defect triage and scope trade‑off decisions. - Monitor product outcomes and stakeholder feedback to drive continuous improvement. - Maintain clear product documentation and ensure shared understanding across teams. Qualifications - Bachelor's or Master’s degree in Computer Science, Engineering, Health Informatics, or a related field. - 5+ years of experience in product management, with a focus on technical products in healthcare or software integration. - Prior experience in life sciences or diagnostics required. - Experience optimizing at least one of: lab operations, or diagnostic order‑to‑cash, or diagnostic billing/reimbursement workflows, including analytics‑driven systems. - Familiarity with Salesforce, or Lab Information Management Systems (LIMS). - Strong technical proficiency, including understanding of APIs, data modeling, cloud services (e.g., AWS, GCP), and software development lifecycle. - Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. - Demonstrated ability to manage cross-functional projects in a fast-paced, regulated industry. Requirements - #LI-Remote Benefits - For candidates based in our South San Francisco office, the salary range is $148,000 - $160,000. - For candidates based in our San Diego office, the salary range is $138,000 - $150,000. - For candidates working remote (US), the salary range is $135,000 - $145,000.

• Define and maintain a clear product roadmap aligned to ACF's mission, milestones, and contract objectives using the Focus Delivery Framework • Apply structured prioritization frameworks to balance user needs, compliance requirements, and technical feasibility • Translate discovery research and policy goals into actionable epics, user stories, and backlog priorities • Guide the definition and rollout of the MVP and future releases, focusing on measurable impact and user outcomes • Facilitate sprints, backlog grooming, and retrospectives to keep cross-functional teams aligned and unblocked • Partner with the ACF product owner and stakeholders to balance competing priorities across a complex federal ecosystem • Manage relationships across program, policy, and technology partners, building alignment without formal authority • Facilitate user workshops, demos, and sprint reviews that promote transparency and continuous learning • Establish comprehensive metrics strategy including leading indicators, counterweight metrics, and performance dashboards • Track and report delivery performance using data-driven metrics with clear baselines and targets • Create single source of truth documentation strategy linking technical specifications, user requirements, and design decisions • Prepare Monthly Project Status Reports and represent delivery health to ACF program and OCIO leadership • Collaborate with the Technical Lead on DevSecOps and ATO readiness activities, ensuring security and compliance considerations are integrated early • Navigate open source solutions evaluation and integration within government security requirements • Coordinate technical dependencies across engineering, design, and external vendors • Ensure solutions meet FedRAMP, Section 508, and government accessibility standards

• Own product strategy, roadmap, and value realization for the AI platform • Drive quarterly and PI planning in coordination with Program Management • Manage cross-functional dependencies across engineering, data, and governance teams • Interface with business stakeholders, compliance teams, and executive sponsors • Lead prioritization based on ROI, regulatory impact, and enterprise priorities • Ensure transparent reporting, risk mitigation, and escalation management

Role Description We are seeking an AI Product Manager to serve as the technical counterpart to our business development team and the owner of AI product delivery across our client portfolio. The AI PM partners closely with BD to scope and validate what we sell—then owns delivering it. This role spans ChatGPT Enterprise adoption programs and custom API/agent engagements, requiring someone who can translate between C-suite business goals and engineering constraints without pretending to be either. It’s the right role for a sharp, structured thinker who thrives on ambiguity, communicates with clarity, and knows how to get AI products across the finish line in the real world. Key Responsibilities - Business Development Partnership & Scoping - Serve as the technical counterpart to sales throughout the sales process, helping scope what is feasible, what the path to production looks like, and what a realistic engagement structure should be. - Handle the strategic and feasibility layer of technical conversations with prospects and clients: use case fit, sequencing, data requirements, timeline realism, and risk. - Know where the PM lane ends; pull in the right engineer when conversations move into deep engineering territory. - Ensure that what gets scoped and sold is what can actually be delivered, preventing commitments that do not survive contact with reality. - Use Case Discovery & Prioritization - Run structured discovery with client stakeholders within active engagements to surface AI use cases. - Build and maintain a scored use case backlog for each engagement, evaluating opportunities against feasibility, data readiness, and measurable business impact. - Make clear go/no-go recommendations on what is ready for AI and what is not. - Product Definition & Delivery - Own the end-to-end lifecycle of AI products from scoping through production launch. - Write clear product specs that translate business problems into technical requirements. - Manage the gap between demo and production: identify edge cases, compliance requirements, data quality issues, and scalability risks early. - Drive iterative development cycles, working hands-on with prompt engineering and agent design decisions alongside the technical team. - Defining Success & Measuring Outcomes - Own the definition of what success looks like for every AI deployment. - Work with client SMEs to establish domain-specific success criteria for probabilistic systems. - Track and report on product performance post-launch, including adoption, business outcomes, and continuous improvement opportunities. - Stakeholder Management - Serve as the connective tissue between business stakeholders and engineering. - Lead client-facing working sessions to align on scope, priorities, and tradeoffs. - Prepare and deliver executive-level updates on product progress, risks, and impact. - AI Center of Excellence Contribution - Contribute to repeatable playbooks for AI use case prioritization, governance, and production readiness. - Help shape the methodology for how enterprises move from AI experimentation to production at scale. - Stay current on the evolving AI platform and tooling landscape. Qualifications - 3+ years of experience in product management, technical program management, or a closely related role, with direct exposure to AI or ML products. - Working knowledge of modern AI systems—what LLMs and agents can and cannot do. - Proven ability to navigate technical conversations credibly without being an engineer. - Strong written and verbal communication skills—clear, direct, and free of jargon. - Experience managing multiple concurrent client engagements or projects without letting quality slip. Requirements - Hands-on experience with ChatGPT Enterprise, OpenAI API, Anthropic, or similar LLM platforms. - Familiarity with prompt engineering, agent design patterns, or orchestration frameworks (e.g., LangChain, LlamaIndex). - Prior consulting, professional services, or client-facing delivery experience. - Familiarity with enterprise data infrastructure, compliance considerations, or AI governance frameworks. Benefits - Competitive compensation (base salary + performance incentives tied to client outcomes). - Equity options in a growing AI services company. - Exposure to a wide range of industries and high-impact AI problems. - Travel opportunities for on-site client engagements (if desired). - A collaborative, mission-driven team passionate about the real-world impact of AI.