Senior Platform Product Manager

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 end-to-end product strategy, roadmap, and delivery priorities for AI-powered platform capabilities, intelligent agents, and automated workflows across enterprise GRC solutions.
Product Requirements and Planning: Partner with engineering teams and GRC subject matter experts to translate complex customer needs into detailed product specifications, technical requirements, and actionable development plans.
AI Evaluation and Trust Frameworks: Establish evaluation methodologies, grounding standards, and measurable benchmarks to validate AI accuracy, reliability, and effectiveness while maintaining auditability and appropriate safety controls.
Agentic Workflows and Automation: Lead the development of customer-facing AI agents and backend integrations that automate complex compliance activities and streamline recurring enterprise workflows.
Cross-Functional Collaboration: Align product, engineering, design, executive leadership, and go-to-market teams around strategic priorities, technical constraints, and customer outcomes.
Customer Engagement: Build strong relationships with enterprise customers, understand their most important use cases, and incorporate feedback into product strategy and development priorities.
Prototyping and Experimentation: Develop rapid functional prototypes, test emerging concepts, analyze product usage data, and conduct structured experiments to validate new AI capabilities before and after launch.
Production Performance and Optimization: Monitor the effectiveness of AI features in production, identify opportunities for improvement, and use customer feedback and evaluation results to enhance performance and reliability.
AI Safety and Governance: Embed appropriate controls for AI safety, governance, transparency, and verifiable outcomes into product development, particularly for sensitive and compliance-focused workflows.
Technical and Strategic Leadership: Establish best practices for AI product development, advise cross-functional teams on complex technical and organizational challenges, and mentor colleagues through strategic guidance.
Industry Thought Leadership: Represent the product vision and expertise in AI-driven governance, risk, and compliance through customer advisory sessions, executive briefings, and relevant industry events.
Business Impact: Drive measurable improvements in platform efficiency, customer satisfaction, compliance accuracy, and reductions in manual work through high-value AI-powered solutions.
Requirements
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.
Additional Advantage — Regulated Industries: Experience in GRC, cybersecurity, third-party risk management (TPRM), or other highly regulated enterprise environments.
Additional Advantage — AI Development Tools: Familiarity with AI agent evaluation tools, Claude Code, or developer-focused AI tooling.
Professional Attributes: Strong strategic judgment, analytical thinking, adaptability, and the ability to influence decisions without relying on direct managerial authority.
Benefits
Remote Work: Fully remote working environment, with the flexibility to work from India.
Strategic Ownership: Significant influence over AI product strategy, platform architecture direction, and enterprise product innovation.
Professional Growth: Opportunities to develop expertise in AI, LLMs, intelligent agents, enterprise SaaS, and GRC technology.
Collaborative Culture: Work with multidisciplinary teams in an innovative, growth-oriented environment that values customer impact and technical excellence.
Career Development: Opportunities to expand strategic leadership, product ownership, and industry thought leadership.
Compensation Reviews and Equity: Annual compensation reviews and equity opportunities, subject to employment terms and eligibility.
Flexible Time Off: An unlimited paid time off policy is described for eligible employees, with an emphasis on taking time to rest and recharge.
Health and Wellbeing: Medical, dental, and vision coverage for employees and dependents is listed for US employees; availability and coverage in India must be confirmed.
Retirement Benefits: A 401(k) plan with an immediate vesting schedule and a 4% company match is listed for eligible US employees; this benefit may not apply to India-based positions.
Parental Support: Twelve weeks of parental leave and a first-year diapers and wipes benefit are listed in the original benefits package, subject to eligibility and location.
Home Office Support: A $500 home office stipend at hire is listed for eligible employees, with additional needs considered upon request.
Wellness Allowance: A $100 quarterly wellness stipend is listed for eligible employees.
Company Connections: Annual in-person company events, quarterly in-person connections, and two company-wide rest weeks are described in the original benefits package.
Additional Perks: Optional flexible office membership and pet insurance discounts are listed, subject to employment status and location.