Senior Platform Product Manager

Jobgether·India·Onsite

Lead Product ManagerAISaaS

Experience

8+ years

Employment

Full Time

Work mode

Onsite

Level

Lead Product Manager

Location

India

Posted

1 week ago

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Product Manager based in India.

Join an innovative, fast-growing technology environment focused on transforming how enterprises manage governance, risk, and compliance (GRC) through intelligent software solutions.

As a Senior Platform Product Manager, you will shape the vision and strategy for AI-powered platform capabilities, intelligent agents, and automated compliance workflows.

You will translate emerging AI and large language model (LLM) technologies into practical, secure, and high-value solutions that address complex enterprise challenges.

Working at the intersection of product strategy, engineering, customer experience, and GRC expertise, you will drive product innovation from initial concept through production deployment.

Your work will focus on building trustworthy AI systems with measurable outcomes, reliable evaluations, transparent decision-making, and strong governance safeguards.

You will collaborate with executive stakeholders, technical teams, and enterprise customers to prioritize opportunities and deliver meaningful business impact.

This fully remote opportunity offers the chance to influence platform-wide product direction, establish AI product best practices, and reduce manual compliance workloads for organizations worldwide.

Accountabilities

AI Product Strategy and Vision: Define and execute the

What you'll bring

Product Management Experience: At least 8 years of experience in product management, including building and scaling enterprise SaaS platforms.
AI Product Expertise: A minimum of 2 years of direct experience delivering production-grade AI or LLM-powered products, preferably involving intelligent agents or agentic systems.
AI Product Strategy: Demonstrated ability to identify valuable AI opportunities, define product roadmaps, prioritize competing needs, and translate technical capabilities into commercially meaningful solutions.
GRC and Compliance Knowledge: Strong product leadership in AI applications, ideally supported by experience with governance, risk, and compliance workflows, grounding methodologies, trust frameworks, and auditability requirements.
Evaluation-Driven Development: Experience defining AI evaluation frameworks, performance benchmarks, and measurable quality standards to validate product effectiveness and reliability.
AI Governance and Safety: Proven ability to establish safeguards, governance mechanisms, precision controls, and verifiable outcomes for AI capabilities operating in production environments.
Technical Understanding: Ability to engage deeply with engineering teams on technical specifications, model evaluations, system architecture, and implementation trade-offs.
Cross-Functional Leadership: Strong experience aligning engineering, product, design, commercial, and executive stakeholders, including teams operating within complex organizational structures.
Customer and Business Orientation: Ability to understand enterprise customer challenges, manage competing priorities, and connect product decisions to measurable business outcomes.
Communication Skills: Exceptional written and verbal communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences.
Education: A bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field, or equivalent practical experience.
Additional Advantage — Technical Background: Hands-on experience in software engineering, specification-driven development, or data science.