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Product Owner/Leader

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Onsite

Product Owner/Leader

Maxis Clinical Sciences

Product Owner/Leader

Skills

Product StrategyProduct ManagementMachine LearningAIComplianceRegulatory ComplianceMarket Research

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


Key Responsibilities

  • Own end-to-end product strategy, vision, and multi-year roadmap for the MaxisAI platform.
  • Translate clinical trial, regulatory, and life sciences domain challenges into well-defined product opportunities.
  • Develop and maintain a prioritized product backlog aligned to customer value and business outcomes.
  • Lead product discovery, including customer interviews, competitive analysis, and market research.
  • Define and communicate product requirements through detailed PRDs, user stories, and acceptance criteria.
  • Partner with AI Engineering and Platform Engineering to guide architecture decisions and feature delivery.
  • Drive product positioning, feature differentiation, and go-to-market strategy in collaboration with Sales and Marketing.
  • Establish and track product KPIs including adoption, engagement, NPS, and revenue attribution.
  • Ensure product compliance with relevant GxP, HIPAA, and 21 CFR Part 11 regulatory requirements.
  • Champion a customer-centric product culture through continuous feedback loops and usability practices.
  • Engage directly with pharma, biotech, and CRO enterprise customers to shape product direction.
  • Manage the product lifecycle from ideation through release, iteration, and deprecation.

KPIs & Success Metrics KPI Target

Feature Release Cadence

Quarterly major releases

Customer NPS

60

Product-led Revenue Attribution

30% of ARR

Backlog Clarity (Story Readiness)

85% sprint-ready

Regulatory Compliance Coverage

100% for GxP features

On-Time Feature Delivery

85%

Required Experience

  • 10+ years in product management, with at least 3 years in a senior/lead product role.
  • Domain experience in clinical trials, life sciences, health IT, or regulated SaaS environments strongly preferred.
  • Demonstrated track record of owning and shipping B2B enterprise software products.
  • Strong command of Agile product practices: backlog management, sprint planning, roadmap communication.
  • Experience working in or alongside AI/ML engineering teams.
  • Excellent written and verbal communication skills for executive, technical, and customer audiences.

Preferred Background

  • Understanding of clinical data standards (CDISC, USDM, ICH M11).
  • Exposure to GxP validation, 21 CFR Part 11, or regulated software environments.
  • Experience with AI-powered products or agentic workflows.
  • Prior experience at a healthtech, clinical tech, or pharma SaaS company

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