HiLabs - Forward Deployed Product Manager

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.