Senior Business Product Manager, Content Agentic AI Applications

Roche•South San Francisco, CA

6d•Onsite

About The Position

Genentech/Roche is looking to redefine the customer experience by leveraging advanced AI solutions across the commercial value chain, including for marketing and sales, medical and government affairs and access. We are seeking an exceptional Senior Business Product Manager to define and lead the business needs and deliver on orchestrating a multi-agent system. The solution will orchestrate across different specialized agents or tools including content creation and review platforms, content management systems, (CMS), Digital Asset Management (DAM) platforms, CRM, Omnichannel delivery systems etc. You will define the business needs, translate into requirements and work with SMEs and Technical teams to build the core capabilities that accelerate time-to-market while achieving zero critical regulatory errors, regardless of the underlying tools. For a Product leader who thrives on business impact with systems thinking and breaking silos across the enterprise, this is the chance to connect users, tools and data into a connected ecosystem.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.