Genentech · 6 hours ago
Senior Business Product Manager, Content Agentic AI Applications
Genentech is passionate about improving the lives of patients through digital innovation and human-centered design. They are seeking a Senior Business Product Manager to lead the strategy and roadmap for content lifecycle orchestration, leveraging multi-agent systems to enhance patient and customer experiences.
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 orchestration of content across commercial, medical, access, physicians and patients leveraging multi agent systems
Build the business case and define the business impact in measurable terms for eg improved efficiency and turn around times and track these metrics
Define the north star and roadmap to get there by making trade off decisions and leveraging prioritization frameworks
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
Own the product strategy and roadmap for core orchestration features, including connectivity to tools, platforms, AI agents with unified context shared across all stakeholders
Identify and prioritize opportunities where Master Orchestration can reduce bottlenecks and compliance risk across the entire content value chain
Define the detailed requirements for the orchestration layer working closely with business stakeholders across commercial, medical, and access teams
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 and scalability across the enterprise
Prototype and test new functionality 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
Strong understanding of the technical challenges in integrating and coordinating workflows across multiple enterprise systems (CMS, DAM, CRM) via API layers
Hands on experience designing and building multi agent solutions
Mandatory expertise in building, designing, or defining complex Multi-System or Multi-Component Orchestration layer or high-scale workflow automation platforms
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
A proven 0→1 builder with a deep focus on customer needs, comfortable quickly transitioning from initial problem framing to a live product
Strong AI product fluency and curiosity about emerging, state-of-the-art tech, with an understanding of modern AI capabilities, their limitations, and how to productize them responsibly
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
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
Prototype, experiment, and rapidly develop functional AI tools and data-driven solutions. Leverage AI as a core capability to explore and refine experience directions, including user flows, UX copy, stress tests, and lightweight compositional elements
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.
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
Recent News
2026-01-23
Genetic Engineering News
2026-01-23
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