Product Owner/Leader

Maxis Clinical Sciences; Hyderabad; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Maxis Clinical Sciences is seeking a Senior Product Leader to own the strategy and long-term roadmap for the MaxisAI platform. You will translate regulatory and life sciences challenges into scalable product opportunities and lead discovery with customers and analysts to create value-driven features.

You will drive backlog prioritization, define PRDs and user stories, and collaborate with AI/Platform Engineering to guide architecture and delivery.

Qualifications

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

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 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 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 with Sales and Marketing.
• Establish and track product KPIs including adoption, engagement, NPS, and revenue attribution.
• Ensure product compliance with GxP, HIPAA, and 21 CFR Part 11 regulatory requirements.
• Champion a customer-centric product culture through feedback loops and usability practices.
• Engage with pharma, biotech, and CRO enterprise customers to shape product direction.
• Manage the product lifecycle from ideation through release, iteration, and deprecation.

Skills

Product leadership

Agile backlog management

Executive communication

AI/ML collaboration

B2B enterprise software

Job description

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