Product Management (AI)
About the role
- Product Strategy & VisionLead and influence end-to-end product strategy for the Healthcare Marketing Cloud platform across all modules
- Define and maintain the product roadmap, balancing innovation with commercial priorities
- Conduct competitive analysis and identify positioning opportunities in the omnichannel HCP engagement space
- Present roadmap, progress, and strategic direction to executive leadership and key clients
- Product Execution
- Drive the product lifecycle from discovery through launch and iteration with an AI-first approach
- Create prototypes, author high-quality PRDs, user stories, and specifications that enable Engineering to execute with clarity
- Drive weekly release cadences with a lean, fast-moving Engineering and Product team
- Lead products from concept through commercialization in fast-moving, high-growth environments
- Cross-Functional Collaboration
- Partner with Data Science to evolve AI-driven orchestration capabilities
- Work with Design to deliver intuitive experiences for campaign configuration, journey building, and analytics
- Partner with Sales and Customer Success teams during strategic client conversations, helping translate platform capabilities into business solutions
- Work closely with leadership on go-to-market alignment, product positioning, and client feedback loops
- Partner with Commercial leadership to align product innovation with go-to-market priorities and evolving client needs
- Collaborate with a high-performing global Product and Engineering organization across the US and IndiaAI Platform & Architecture
- Partner with Engineering and AI teams on the development of LLM-powered workflows and intelligent orchestration systems
- Contribute to product direction around RAG architectures, model evaluation frameworks, fine-tuning strategies, and emerging agentic AI workflows
- Help define scalable AI infrastructure and product capabilities that support enterprise healthcare marketing use cases
- Work closely with technical teams building MCP server integrations and AI enablement tooling
- Experience, Skills & Education 5-8+ years of product management experience, including at least 4 years building or scaling AI-native products
- Experience leading products from concept through commercialization in fast-moving, high-growth environments
- Strong understanding of modern AI ecosystems including LLMs, RAG frameworks, model evaluation methodologies, and AI orchestration workflows
- Ability to operate comfortably across technical, commercial, and client-facing conversations
- Strong communication and executive presentation skills
- Proven ability to influence cross-functional stakeholders across Product, Engineering, AI/ML, and Commercial teams
- Comfortable with occasional travel for client meetings, leadership collaboration and global team engagement across the US, UK, and IndiaKey Competencies
- Experience with healthcare, pharmaceutical, AdTech, MarTech, or other highly-regulated industries
- Exposure to AI infrastructure, agentic systems, or cloud-scale AI products
- Familiarity with MCP servers, fine-tuning strategies, or AI evaluation frameworks
- Experience building enterprise SaaS or platform products with customer-facing impact
- Experience working closely with enterprise clients or supporting AI-driven commercial platforms in customer-facing environments
- You balance strategic thinking with execution - you can define a 2-year vision and also unblock a sprint issue
- You're comfortable with ownership - strategy, specs, design review, launch, iteration - no handoffs to "someone else"You have strong opinions, loosely held - you can defend a roadmap decision and change your mind when data says otherwise
- You thrive in ambiguity and move fast despite incomplete information
- You're energized by healthcare impact - the idea that your product might help HCPs access the right clinical information faster motivates you
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
