Genentech ยท 7 hours ago
Senior AI Product Manager, Agentic & Digital Experience
South San Francisco, CA
Full-time
Onsite
Senior Level
$207K/yr - $385K/yr
6+ years expGenentech is dedicated to improving the lives of patients through innovative healthcare solutions. The Senior AI Product Manager will lead the strategy and roadmap for multi-agent orchestration to enhance patient and customer experiences while ensuring compliance and efficiency across various digital platforms.
BiotechnologyLife ScienceManufacturing
Responsibilities
Defining omnichannel solutions, shaping engagement strategies, designing, operationalizing, and producing seamless, consistent & meaningful patient and customer experiences
Accelerating, connecting, and enabling the development of digital solutions that enhance the patient and customer experience across CMG
Advancing the mission of seamless, consistent & meaningful patient and customer experiences that maximize patient impact while keeping compliance at the forefront
Define and articulate the long-term vision and strategy for the Master Automation/Agentic Layer as the enterprise control plane for all content workflows
Own the product strategy and roadmap for core orchestration features, including module-to-module communication protocols, dynamic routing across systems, vendor-neutral tool integration frameworks, and state management for complex lifecycles
Lead the decomposition of complex workflows (e.g., content versioning, MLR submission) into distinct, system-agnostic tasks that can be efficiently delegated to specialized Agentic Modules within any connected CMS or DAM platform
Identify and prioritize opportunities where Master Orchestration can reduce bottlenecks and compliance risk across the entire content value chain
Design the architecture and detailed requirements for the Master Layer's reasoning engine: focusing on planning, self-correction, exception handling, and seamless handover to Human-in-the-Loop (HITL) reviewers when required
Define data grounding and context sharing requirements to ensure the Master Layer and its modules only operate based on validated, current, and compliant sources, regardless of which CMS/DAM holds the source data
Translate workflow requirements into detailed product specifications for underlying logic and orchestration, balancing speed and efficiency with the high bar for accuracy and auditability required by MLR
Partner with Engineering and Data Science to build robust, scalable, and observable platform components that allow for transparent tracking of every automated action across all integrated systems
Prototype and test new module collaboration patterns with SMEs, ensuring compliance and operational viability across platforms
Champion the "Autonomous Enterprise" mindset, defining the new operating model where human teams collaborate seamlessly with automated systems residing in any platform
Facilitate deep technical and business collaboration across IT, CMLR, Legal,and Global teams to secure governance for the Master Platform and standardize the inputs/outputs of all Agentic Modules, regardless of the vendor
Engage deeply with internal stakeholders (Content Strategists, MLR Reviewers) to understand trust boundaries and design escalation paths that maintain confidence in automated execution
Influence adjacent product teams (e.g., teams owning CRM,OMNICHANEL, or other CMS/DAM systems) on the technical requirements needed for their modules to interface with and be governed by the Master Layer
Qualification
Required
6+ years of enterprise software Product Management experience, with at least 5 years in SaaS; Data platform or advanced automation experience strongly preferred
Hands on experience building multi agent solutions
Mandatory expertise in building, designing, or defining complex Multi-System or Multi-Component Orchestration architectures or high-scale workflow automation platforms
Strong understanding of the technical challenges in integrating and coordinating workflows across multiple enterprise systems (CMS, DAM, CRM) via API layers
Experience working and building for complex enterprise personas (Administrators, Power Users, Auditors)
Strong understanding of the role of high-quality data in automation development, quality, governance, and how it impacts business outcomes
Proven collaborator with exceptional organizational effectiveness, able to drive consensus and execution across highly matrixed, technical teams
Preferred
Practical familiarity with Content Management Systems (CMS) and Digital Asset Management (DAM) platforms, including their API architectures
Experience in content lifecycle management (creation, review, publishing) in a regulated environment is highly valued
Experience with Vibe Coding and Low-Code Agent Building strongly desired
Prior experience designing products where trust, auditability, and output validation (quality-first focus) are non-negotiable requirements
Thought leadership in advanced automation trends, system safety and ethics, and enterprise adoption patterns
Pharma, healthcare experience is a huge plus
Benefits
A discretionary annual bonus may be available based on individual and Company performance.
This position also qualifies for the benefits detailed at the link provided below.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-07
Company data provided by crunchbase