Website:
ekshvaku.com
Job details:
Job Description
Product Manager – AI & Enterprise Platforms
Company: Ekshvaku Tech Innovations
Location: Hyderabad / Remote (India)
Employment Type: Full-Time
Experience: 7–12+ years overall, including at least 4 years in Product Management
Domain: AI/ML, Healthcare Technology, Digital Health, Enterprise SaaS
About the Role
Ekshvaku Tech Innovations is looking for an experienced, strategic, proactive and highly client-focused Product Manager – AI & Enterprise Platforms to lead product discovery, strategy, roadmap planning and execution for AI-powered healthcare and enterprise digital solutions.
We are seeking someone who can independently explore product vision, research market opportunities, analyze competitor products, identify feature gaps and recommend innovative capabilities that transform digital applications into competitive, scalable and enterprise-grade platforms.
The ideal candidate must combine strong product management expertise with excellent client relationship management, emotional intelligence, patience, technical understanding and hands-on execution capabilities.
This is not a traditional Product Owner or backlog management position. The successful candidate must be capable of independently shaping product direction, presenting evidence-based recommendations, managing demanding stakeholders and translating approved strategies into actionable product requirements.
The role requires significant ownership of product outcomes while ensuring major product decisions, strategic priorities and investments receive appropriate stakeholder approval.
Key Responsibilities
1. Product Vision, Strategy & Roadmap
- Independently research and evaluate product vision, market positioning and long-term opportunities.
- Understand business objectives, customer expectations and market requirements to shape product direction.
- Assess existing product capabilities and identify gaps, limitations and improvement opportunities.
- Develop short-term, medium-term and long-term product strategies and roadmaps.
- Proactively recommend innovative features, integrations, workflows and enhancements.
- Evaluate product opportunities based on customer value, competitive differentiation, technical feasibility and commercial potential.
- Prepare product proposals, business cases and roadmap recommendations for stakeholder approval.
- Define measurable product objectives and success metrics.
- Balance product innovation, customer needs, technical constraints and business priorities.
2. Market Research, Competitor Analysis & Product Innovation
- Continuously research competing healthcare AI, digital health, enterprise SaaS and AI-enabled platforms.
- Analyze competitor features, user experiences, workflows, pricing, AI capabilities and enterprise offerings.
- Conduct competitive benchmarking through product trials, demonstrations, documentation and industry research.
- Identify missing features, emerging customer needs and opportunities for competitive differentiation.
- Prepare structured competitor comparison matrices, market assessments and product gap analysis reports.
- Research emerging technologies and evaluate their practical relevance to product development.
- Recommend differentiated features and product improvements supported by market evidence.
- Proactively identify what should be built next rather than relying solely on stakeholder-provided requirements.
3. Healthcare AI & Digital Health Product Management
- Understand digital healthcare platforms, patient-facing applications, provider workflows and healthcare enterprise systems.
- Research healthcare use cases involving clinical decision support, patient engagement, clinical documentation, care coordination and workflow automation.
- Identify opportunities to enhance healthcare products through AI-powered features and improved user experiences.
- Collaborate with healthcare domain experts to understand clinical workflows and validate product requirements.
- Understand Protected Health Information (PHI), healthcare data privacy, security and applicable regulatory considerations.
- Demonstrate awareness of HIPAA and other relevant healthcare compliance requirements.
- Evaluate interoperability requirements involving EHR/EMR systems, HL7, FHIR and healthcare APIs.
- Ensure healthcare-specific features undergo appropriate clinical, technical, privacy and regulatory review.
4. Enterprise Product Development & Transformation
- Drive the evolution of existing applications into scalable, secure and enterprise-ready platforms.
- Identify and define enterprise requirements, including:
- Multi-tenancy and tenant isolation.
- Role-based access control (RBAC).
- Single Sign-On (SSO) and enterprise identity management.
- Enterprise security, authentication and audit trails.
- API-first architecture and third-party integrations.
- Healthcare interoperability and EHR/EMR connectivity.
- Scalability, performance, reliability and availability.
- Enterprise administration, monitoring and reporting.
- Configurable workflows and intelligent automation.
- Data governance, privacy and compliance.
- Enterprise deployment and configuration options.
- Collaborate with architects and engineering teams to assess technical feasibility.
- Define enterprise MVP scope, phased releases and product maturity roadmaps.
- Evaluate enterprise customer requirements, adoption barriers and implementation considerations.
- Recommend capabilities that strengthen enterprise adoption and commercial viability.
5. AI/ML Product Management
- Identify practical opportunities to integrate AI/ML into healthcare and enterprise products.
- Understand Large Language Models (LLMs), generative AI, Retrieval-Augmented Generation (RAG), agentic AI and intelligent automation.
- Collaborate with AI/ML engineers to translate business requirements into AI-powered product capabilities.
- Define measurable quality expectations and acceptance criteria for AI features.
- Understand hallucination risks, grounding, accuracy, reliability, latency, safety and operational costs.
- Evaluate AI governance, human-in-the-loop controls and responsible AI requirements.
- Collaborate with AI quality and engineering teams to evaluate product performance and readiness.
- Research competing AI solutions and recommend relevant innovations.
- Balance AI innovation with reliability, user value, safety and enterprise requirements.
Hands-on AI/ML coding is not mandatory, but candidates must possess sufficient technical understanding to engage meaningfully with AI/ML engineers and solution architects.
6. Client Relationship Management & Stakeholder Engagement
- Serve as a primary product-facing point of contact for clients, product sponsors and senior business stakeholders.
- Build and maintain strong, professional and long-term client relationships based on trust, transparency and consistent communication.
- Demonstrate exceptional patience, emotional intelligence and professionalism when managing demanding clients and challenging situations.
- Actively listen to client concerns, understand underlying business needs and respond thoughtfully.
- Confidently conduct client meetings, product discovery workshops, feature demonstrations and roadmap discussions.
- Manage difficult conversations, conflicting priorities, changing expectations and critical feedback with maturity and composure.
- Maintain a calm, respectful and solution-oriented approach during escalations and high-pressure situations.
- Communicate technical and AI-related concepts clearly to business and non-technical stakeholders.
- Proactively follow up on commitments, decisions, feedback and pending approvals.
- Manage expectations realistically without overcommitting on features, scope or timelines.
- Respectfully challenge stakeholder assumptions using research, evidence and sound product reasoning.
- Balance client expectations with technical feasibility, delivery capacity and business priorities.
- Ensure clients remain informed, heard and confident in the product direction and execution approach.
- Demonstrate the ability to work effectively with international stakeholders, including US-based clients.
Exceptional client management, patience, communication and emotional maturity are essential requirements for this position.
7. Product Discovery & Requirements Management
- Independently conduct product discovery, user research, workflow analysis and stakeholder interviews.
- Translate product opportunities into detailed Product Requirement Documents (PRDs), feature specifications, user stories and acceptance criteria.
- Define clear user journeys, business workflows and expected product outcomes.
- Collaborate with UX/UI designers on wireframes, prototypes and usability improvements.
- Validate assumptions through research, demonstrations, feedback and experiments.
- Own product backlog quality, prioritization recommendations and requirements readiness.
- Ensure requirements are clear, complete, technically feasible and testable.
- Identify missing requirements, product dependencies, edge cases and usability risks.
- Establish measurable success criteria for features and product enhancements.
8. Stakeholder Management & Product Governance
- Work closely with senior business stakeholders, product sponsors and technical leadership.
- Independently develop product strategies and recommendations supported by research and analysis.
- Present feature proposals, product roadmaps, business cases and implementation alternatives.
- Obtain necessary stakeholder approvals for major product direction, scope and priority changes.
- Translate approved decisions into clear product requirements and execution plans.
- Maintain transparency regarding assumptions, risks, dependencies and decisions.
- Facilitate product reviews, discovery workshops, planning discussions and roadmap reviews.
- Proactively communicate product progress, challenges and decisions requiring attention.
- Maintain clear ownership and accountability for product-related commitments.
- Exercise independent judgment within established product governance and approval processes.
9. Cross-Functional Collaboration & Product Execution
- Work closely with engineering, AI/ML, architecture, UX/UI, QA and delivery teams.
- Translate approved product strategies into development-ready requirements and prioritized backlogs.
- Ensure technical teams understand the business purpose and expected outcomes of features.
- Participate in backlog refinement, sprint planning, product reviews and release discussions.
- Proactively identify requirement gaps, dependencies and product-related blockers.
- Validate developed functionality against approved requirements and acceptance criteria.
- Coordinate product demonstrations, user acceptance testing and feature readiness reviews.
- Collaborate with delivery leadership on timelines, milestones, risks and dependencies.
- Support product releases, post-release evaluation and continuous improvement.
- Take ownership of product outcomes while working collaboratively with delivery and engineering teams.
10. Commercialization & Business Value
- Evaluate product-market fit, enterprise customer needs and market expansion opportunities.
- Identify opportunities for product differentiation and commercial growth.
- Research SaaS pricing, packaging, licensing and subscription models.
- Support sales and presales teams with product demonstrations, solution positioning and capability presentations.
- Evaluate product investment opportunities, partnerships and build-versus-buy decisions.
- Analyze product adoption, customer feedback and feature effectiveness.
- Recommend enhancements that improve customer value, enterprise adoption and commercial viability.
Required Qualifications & Experience
- Bachelor's degree in Computer Science, Engineering, Information Technology, Business or a related discipline.
- 7–12+ years of overall experience, including at least 4 years in software product management.
- Proven experience managing B2B SaaS, AI-enabled or enterprise software products.
- Demonstrated experience in product discovery, strategy, roadmap planning and product lifecycle management.
- Strong competitor research, market analysis and product benchmarking capabilities.
- Experience independently identifying product opportunities and recommending improvements.
- Strong understanding of enterprise SaaS capabilities, APIs, integrations and cloud platforms.
- Experience preparing PRDs, feature specifications, user stories and acceptance criteria.
- Demonstrated experience managing client relationships and working directly with senior business stakeholders.
- Excellent verbal and written English communication skills.
- Exceptional patience, emotional intelligence, active listening and conflict-resolution abilities.
- Ability to handle demanding clients, difficult conversations and high-pressure situations professionally.
- Strong analytical thinking, presentation, problem-solving and decision-making skills.
- Experience working with cross-functional engineering and delivery teams.
- Experience in Agile software development and product management practices.
Preferred Qualifications
- Experience with healthcare SaaS, digital health, clinical AI or healthcare enterprise platforms.
- Strong understanding of the US healthcare ecosystem, including healthcare providers, payers, clinical workflows, patient engagement, healthcare regulations and emerging healthcare AI technologies.
- Familiarity with healthcare interoperability standards including HL7 and FHIR.
- Exposure to EHR/EMR integrations and healthcare APIs.
- Understanding of HIPAA, PHI handling and healthcare data privacy.
- Experience with LLMs, RAG, generative AI or agentic AI products.
- Experience taking a product from MVP to enterprise adoption.
- Experience working with US healthcare or enterprise customers.
- Familiarity with Jira, Confluence, Figma, product analytics and market research tools.
- Experience with enterprise security, compliance and AI governance.
- Exposure to SaaS commercialization, pricing and product-market fit.
Essential Behavioral Competencies
Client Management & Patience
- Demonstrates exceptional patience and professionalism with demanding stakeholders.
- Listens carefully and responds constructively, even during repeated discussions or disagreements.
- Builds confidence and trust through transparent, consistent communication.
Emotional Intelligence & Conflict Resolution
- Remains calm and objective during escalations.
- Accepts constructive criticism without becoming defensive.
- Resolves disagreements diplomatically while protecting product and business interests.
Independent Thinking & Product Ownership
- Proactively researches opportunities and recommends solutions.
- Demonstrates curiosity, initiative and accountability.
- Takes ownership rather than waiting for detailed instructions.
Strategic Thinking & Commercial Awareness
- Understands competitive positioning, customer needs and product differentiation.
- Evaluates product investments and feature priorities based on measurable value.
Technical Collaboration
- Works effectively with AI/ML engineers, architects, developers and QA teams.
- Understands technical trade-offs and translates complex requirements into practical solutions.
Execution Discipline
- Maintains clear requirements, priorities, documentation and stakeholder communication.
- Follows through on commitments and proactively addresses product-related risks.
Key Performance Indicators (KPIs)
Performance will be evaluated against:
- Client Satisfaction & Relationship Management: Stakeholder confidence, communication effectiveness and professional handling of concerns.
- Product Strategy & Roadmap: Quality, clarity and alignment of product strategy and roadmap recommendations.
- Competitor Intelligence: Depth, relevance and practical value of competitive analysis.
- Product Innovation: Identification, validation and prioritization of valuable new capabilities.
- Enterprise Readiness: Progress in identifying and addressing enterprise capability gaps.
- Requirements Quality: Completeness, clarity and readiness of product documentation and acceptance criteria.
- Stakeholder Management: Timely communication, approval coordination and closure of product-related actions.
- Escalation Management: Effectiveness in addressing product-related concerns and preventing avoidable misunderstandings.
- Product Outcomes: Achievement of agreed feature adoption, usability, quality and business value goals.
- Cross-Functional Effectiveness: Product alignment and collaboration with engineering, AI/ML, QA and delivery teams.
Expected Outcomes – First 90 Days
First 30 Days – Product Understanding & Assessment
- Understand existing product capabilities, architecture, workflows and business objectives.
- Establish strong working relationships with internal teams and key stakeholders.
- Review current product roadmaps, backlogs and documentation.
- Conduct initial competitor and healthcare AI market research.
- Identify immediate product gaps, enterprise readiness limitations and improvement opportunities.
- Understand existing stakeholder expectations, communication processes and product governance.
Days 31–60 – Product Strategy & Improvement
- Present a structured competitor benchmarking and product gap analysis report.
- Develop prioritized product enhancement recommendations.
- Propose a phased enterprise capability roadmap.
- Establish strong product discovery and requirements management practices.
- Improve stakeholder communication and product decision-making processes.
- Define detailed requirements and success criteria for priority initiatives.
Days 61–90 – Roadmap Execution & Product Ownership
- Establish a stakeholder-approved product roadmap.
- Drive requirements readiness and execution alignment for prioritized features.
- Demonstrate improved product planning, documentation and cross-functional collaboration.
- Establish consistent and effective client communication practices.
- Define measurable product performance indicators.
- Present a longer-term product innovation and enterprise evolution strategy.
Ideal Candidate Profile
We are looking for a product professional who:
- Thinks like a product strategist and executes like a hands-on Product Manager.
- Independently researches competitors, market trends and emerging technologies.
- Identifies missing product capabilities without waiting for instructions.
- Understands how to transform digital products into enterprise-grade SaaS platforms.
- Has a genuine interest in healthcare AI and emerging digital health technologies.
- Can confidently engage with senior stakeholders and technical teams.
- Demonstrates exceptional patience, emotional intelligence and client-handling skills.
- Remains calm, professional and solution-oriented under pressure.
- Can manage demanding stakeholders without becoming defensive or confrontational.
- Is comfortable challenging assumptions respectfully with evidence and structured reasoning.
- Takes ownership of product discovery, strategy, requirements and outcomes.
- Balances client expectations, product innovation, technical feasibility and business priorities.
- Communicates proactively and consistently follows through on commitments.
Why Join Ekshvaku Tech Innovations?
- Opportunity to work on emerging AI-powered healthcare and enterprise digital solutions.
- Play a meaningful role in shaping product vision, innovation and enterprise transformation.
- Collaborate with experienced engineering, AI/ML and technology teams.
- Work on challenging product opportunities involving generative AI, enterprise SaaS and healthcare technology.
- Gain exposure to international business stakeholders and enterprise product development.
- Take ownership of product strategy, discovery and execution in a growing technology organization.
We are looking for a Product Manager who can independently think, research, innovate, manage client relationships with maturity and patience, and take ownership of building competitive, enterprise-grade AI products.
Click on Apply to know more.
