Senior Product Manager - PromoMats

Veeva Systems•Massachusetts - Boston, MA

21h•Remote

About The Position

Veeva Systems is hiring a Senior Product Manager to own and grow core capabilities of Vault PromoMats, a platform used by life sciences companies to manage promotional content across the full lifecycle, including Medical, Legal, and Regulatory (MLR) review, claims management, digital asset management, and multichannel content distribution. The role owns product strategy and the multi-release roadmap for key capabilities, working with Engineering, UX, customers, and other Vault product teams to identify high-impact problems, define requirements, and deliver scalable, high-quality solutions for a regulated industry. The product manager will explore where AI capabilities can improve customer workflows, balancing customer needs and market trends with design and engineering considerations. The role also involves engaging brand, marketing operations, medical, and regulatory teams; defining and tracking customer-value metrics; writing specifications; and partnering through design, development, testing, and release. Solutions should reduce manual effort through automation and AI-assisted capabilities while preserving the auditability required by regulated customers. The position also supports go-to-market readiness by enabling Sales, Services, and Support with product positioning, demos, and documentation. Veeva is a public benefit corporation and a Work Anywhere company, supporting employees working from home or in an office. The listed base salary range is $120,000–$200,000, with actual compensation varying based on experience, location, qualifications, and expected contributions. The position may also be eligible for variable bonus and/or stock bonus.

Requirements

At least 5 years of enterprise software product management, engineering, or consulting experience.
At least 2 years of hands-on focus on AI/ML applications, specifically LLMs and Generative AI.
Strong coding skills in Python and experience with AI frameworks such as LangChain or LlamaIndex, and APIs.
Deep understanding of data-flow design, prompt engineering, and model fine-tuning for highly regulated content.
Ability to explain complex AI concepts as business value to non-technical stakeholders in Marketing, Legal, Medical, and Regulatory departments.
Proven track record collaborating with UX and Engineering to build intuitive tools for complex workflows.
Experience in Marketing or Marketing Operations, or building products for marketing teams, with working understanding of brand strategy, campaign planning, and content production.
Familiarity with brand-team methodologies, including creative and campaign briefs, agency and studio workflows, brand guidelines and governance, modular content and content supply chain models, omnichannel planning, and launch readiness.

Nice To Haves

Direct experience with Veeva Vault PromoMats or Vault Medical.
Familiarity with MLR review processes, 2253 submissions, or Medical Information (MedInfo) workflows.
Experience in a data scientist, machine learning, or data engineering role.
Hands-on involvement in brand strategy, brand or product launch planning, or global campaign rollout, including supporting content, claims, and approval cycles.
Working knowledge of marketing technology used alongside PromoMats, including DAM and content platforms such as Adobe Experience Manager, Aprimo, and Sitecore; marketing work management tools such as Adobe Workfront, Asana, and Monday; marketing automation and CRM tools such as Salesforce Marketing Cloud, Marketo, Veeva CRM, and Vault CRM; and campaign analytics tools.

Responsibilities

Own the vision, strategy, and multi-release roadmap for an area of PromoMats, including decisions about AI capabilities.
Engage with brand, marketing operations, medical, and regulatory teams at life sciences companies to understand content creation, review, and distribution workflows.
Translate customer insights into prioritized product requirements.
Define and track metrics demonstrating customer value, including MLR review-cycle reduction, time to approval, claims auto-link rates, and feature adoption.
Write clear product specifications and partner with Engineering, UX, and QA through design, development, and release.
Deliver scalable, high-quality capabilities that reduce manual effort in the content lifecycle, including claims linking, reference substantiation, workflow configuration, content reuse, and AI-assisted content checks, while preserving auditability.
Partner with product teams across Vault to deliver connected experiences.
Enable Sales, Services, and Support with product positioning, demos, and documentation for releases.