Role Overview :

We are looking for a Forward Deployed Product Manager who can bridge the gap between product strategy, customer requirements, and technical execution. This role combines product management with hands-on customer engagement, requiring the ability to work closely with healthcare clients, understand complex business problems, and translate them into scalable AI-powered product solutions.

Customer Engagement and Problem Discovery :

- Work directly with customers and business stakeholders to understand their workflows, pain points, and operational challenges.

- Conduct discovery sessions to identify high-impact problems that can be solved through AI, automation, and data-driven products.

- Translate customer needs into clear product requirements, use cases, user stories, and acceptance criteria.

- Act as the primary product interface between customers, engineering, data science, and implementation teams.

Product Strategy and Roadmap :

- Define product vision, strategy, and roadmaps aligned with customer needs and business objectives.

- Prioritize features and initiatives based on customer impact, business value, technical feasibility, and scalability.

- Identify opportunities to convert customer-specific solutions into reusable product capabilities.

- Balance rapid customer delivery with long-term product architecture and maintainability.

AI and Data Product Development :

- Partner with AI/ML engineers, data scientists, data engineers, and software engineers to develop AI-powered solutions.

- Translate complex healthcare data problems into actionable product requirements and measurable outcomes.

- Understand the capabilities and limitations of machine learning, generative AI, LLMs, automation, and data pipelines.

- Define evaluation criteria, success metrics, and feedback loops for AI-driven product features.

- Work with engineering teams to address data quality, model performance, integration, and workflow automation challenges.

Forward Deployment and Implementation :

- Drive end-to-end execution of customer-facing product initiatives, from discovery and prototyping to deployment and adoption.

- Work closely with implementation and engineering teams to configure, integrate, test, and deploy solutions in customer environments.

- Troubleshoot product and workflow issues, identify root causes, and coordinate resolution with technical teams.

- Iterate rapidly based on real-world customer feedback and production performance.

Cross-functional Leadership :

- Collaborate with engineering, design, data science, sales, customer success, and leadership teams.

- Translate business priorities into executable plans and ensure alignment across stakeholders.

- Manage competing priorities, dependencies, risks, and delivery timelines.

- Communicate product decisions, progress, trade-offs, and outcomes effectively to technical and non-technical stakeholders.

Product Analytics and Business Impact :

- Define and track KPIs related to product adoption, customer outcomes, operational efficiency, accuracy, and ROI.

- Use customer feedback and product usage data to identify improvement opportunities.

- Measure the business impact of deployed solutions and continuously optimize product performance.

Requirements :

- Looking for only Tier 1 Institute Candidates.

- 4+ years of experience in product management, technical product management, solutions engineering, forward-deployed engineering/product roles, or related positions.

- Experience building and deploying enterprise software, data products, AI/ML products, or workflow automation solutions.

- Strong customer-facing experience, including requirements gathering, stakeholder management, and translating business problems into technical solutions.

- Proven ability to work closely with engineering teams and drive product execution from concept to deployment.

- Strong analytical, problem-solving, prioritization, and decision-making skills.

- Ability to navigate ambiguity and manage multiple initiatives in a fast-paced environment.

- Excellent communication and presentation skills.

Technical Skills and Preferred Experience :

- Working knowledge of SQL, APIs, data workflows, databases, and system integrations.

- Understanding of AI/ML concepts, generative AI, LLMs, RAG, and AI-powered automation.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Experience with product management tools such as Jira, Confluence, and product analytics platforms.

- Ability to collaborate on technical architecture discussions and understand engineering trade-offs.

- Experience in healthcare technology, health insurance, payer operations, provider data, or healthcare analytics is an advantage.

- Exposure to enterprise implementations, customer deployments, proof of concepts, and product experimentation is preferred.

What Success Looks Like :

- Customer problems are translated into clear, actionable product solutions.

- AI and data products are deployed successfully and deliver measurable business value.

- Customer-specific requirements are converted into scalable product capabilities wherever possible.

- Product adoption, operational efficiency, and customer satisfaction improve over time.

- Engineering and business teams remain aligned on priorities, timelines, and outcomes.

Ideal Candidate Profile :

- We are looking for someone who combines product thinking, technical depth, and customer-facing execution. The candidate should be able to engage directly with customers, understand complex workflows, collaborate with technical teams, and take ownership of delivering solutions that solve real business problems.

- The role is particularly suited to candidates who have worked in AI/data product management, enterprise SaaS, technical product management, solutions consulting with product ownership, or forward-deployed teams.