Senior Product Manager Responsible AI

Uplers; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Uplers is seeking a global Senior Product Manager for the PrivaSapien Responsible AI portfolio. You will own vision, strategy, and roadmap for AI assessment, inference, and trusted agents across regions, aligning with evolving AI regulations and customer needs.

You will lead cross-functional teams, drive product adoption, and ensure safety, explainability, and scalability while engaging analysts and customers worldwide. This role emphasizes strategic impact and end-to-end ownership.

Qualifications

• 12+ years in enterprise software with strong product management for global markets.
• Experience shipping AI/ML, data, or security products for global customers.
• Hands-on exposure to LLM/GenAI or agentic systems is highly preferred.

Responsibilities

• Own the end-to-end vision, strategy, and roadmap for the Responsible AI portfolio.
• Manage sprint end-to-end: prioritization, FRD/FDD, sprint grooming, UX, test cases, release notes, retrospectives.
• Own product performance benchmarks, including model evaluation and safety-test harnesses.
• Ensure technical superiority with low-latency guardrails, scalable compute, and strong UX.
• Lead Gartner and analyst relations, briefings, and training for sales teams.
• Be the final escalation point across sales, customer success, engineering, and marketing.
• Translate AI regulations into prioritized product requirements with industry-leading workflows.
• Engage global enterprise customers and risk leaders to shape the product vision.
• Define and own success metrics: adoption, activation, retention, and quality.
• Be the chief evangelist: demos, thought leadership, white papers, and podcasts.

Skills

AI/ML systems

AI governance frameworks

B2B enterprise product management

Job description

Job Description

Experience: 10.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full time Permanent Position

*Note: This is a requirement for one of Uplers' client - PrivaSapien

What do you need for this opportunity?

Must have skills required: AI/ML systems, AI governance frameworks, B2B enterprise product management

Senior Product Manager, Responsible AI

Reports to: Head of Engineering

Function: Product Management — Responsible AI

Experience: 12+ years in enterprise software, including strong product management experience (6+ years) building AI/ML, data, or security products for global markets; hands-on exposure to LLM/GenAI or agentic systems strongly preferred

About The Role

PrivaSapien is building a systems-first trust platform for data, AI, and agents. We are looking for a global Senior Product Manager to own the vision, strategy, accountability, and roadmap for our Responsible AI portfolio across three categories — AI Assessment, Safe AI Inference, and Trusted Agents. These products help enterprises evaluate, secure, and operate AI safely: from agentic red teaming and AI impact assessment, to inline firewalls and guardrails for enterprise LLMs at inference time, to real-time guardrails and controls for autonomous agents and tool calling. You will translate a fast-moving landscape of AI regulation and safety expectations (the EU AI Act, NIST AI RMF, ISO/IEC 42001, and the OWASP LLM Top 10) into intuitive, scalable capabilities that global enterprises trust to govern their most critical AI systems. This is a true end-to-end, globally scoped ownership role: you are accountable for everything it takes to make the portfolio succeed — strategy, roadmap, delivery, quality, and go-to-market. You will thrive at the intersection of AI/ML engineering, safety and governance, and enterprise customer needs, partnering closely with engineering, applied research, sales, customer success, testing, legal/AI-governance counsel, and go-to-market teams across regions to turn responsible AI from a compliance burden into a strategic competitive advantage. Strong technical grounding in AI/ML or AI governance is highly preferred.

What You'll Do

• Own the end-to-end product vision, strategy, and roadmap for the Responsible AI portfolio across AI Assessment, Safe AI Inference, and Trusted Agents.
• Manage the sprint end to end, ensuring on-time completion of every stage: feature prioritization → writing the FRD → FDD → sprint grooming → guiding UX → validating test cases → development tracking → KT → documentation → release notes → sprint retrospective.
• Ensure high-quality products by owning product performance benchmarks — including model evaluation and safety-test harnesses — with optimal infrastructure, a robust bug management process, automated test cases, and code commits gated by quality and security requirements.
• Take complete ownership to build market-leading products by ensuring technical superiority (accurate, low-latency guardrails and assessments), optimized compute needs, ease of use, explainability and debuggability, customer satisfaction, adoption, and renewal.
• Own global analyst relations — lead Gartner and other analyst briefings, inquiries and maintain a sharp view of the competitive landscape, building comparison matrices and training global sales teams on product GTM and competitive strategy.
• Serve as the senior point of accountability and final escalation point for the portfolio across sales (objection handling), customer success (bug fixes and feature commitments), engineering (on-time sprint execution), and marketing (product thought leadership).
• Translate evolving AI regulations and safety frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10) into clear, prioritized product requirements — understanding the technical and regulatory nuances and envisioning industry-leading workflows and integrations.
• Engage global enterprise customers, AI governance and risk leaders, ML/platform teams, and CISOs continuously to deeply understand their workflows, risks, and unmet needs, and turn those insights into a compelling product vision.
• Define and own product success metrics — adoption, activation, retention, and quality (e.g., detection accuracy, false-positive rates, and evaluation and guardrail coverage) — using data to prioritize the roadmap and report outcomes to leadership on a regular cadence.
• Be the chief evangelist for the portfolio — delivering product demos at global events, leading responsible-AI community conversations, writing white papers, and contributing to podcasts and regulatory and standards reviews.

What We're Looking For

• 12+ years in enterprise software, including significant product management experience shipping and scaling enterprise B2B products for global markets.
• Product management experience in AI/ML, GenAI/LLM, AI governance and safety, data privacy and security, or a closely related deeptech area.
• Solid technical foundation to partner credibly with engineering and research on ML/LLM systems, model lifecycle, inference pipelines, model-provider and identity integrations, APIs, and data flows — able to reason about model behavior, evaluation, guardrails, and trade-offs.
• Working knowledge of AI governance and safety frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001) and AI risk concepts such as bias/fairness, red teaming, prompt injection, data leakage, and agentic tool-calling risks.
• Proven experience managing global enterprise customers in AI governance, privacy, or security — across multiple regions and regulatory regimes.
• Demonstrated experience with industry-analyst engagement, especially Gartner — leading briefings and inquiries and influencing market evaluations.
• Demonstrated success owning a product end to end by establishing competitive superiority, a mature bug review process, predictable sprint execution, and accelerated product adoption.
• Track record of taking complete ownership of the product by being the single source of truth for sales, marketing, customer success, and leadership.
• Experience at a B2B product company serving global customers, or at a deeptech/AI startup — having led product management and scaled a product from early stage to meaningful scale.
• Excellent communication and stakeholder leadership — able to influence engineering, research, design, sales, customer success, and executives across geographies without direct authority.

Bonus Points

• Hands-on experience building AI/ML, LLM/GenAI, AI safety, red-teaming, or AI governance products.
• Familiarity with guardrail and firewall approaches for LLMs (privacy, security, safety, and context control) and privacy‑preserving ML (e.g., differential privacy, PII detection/redaction, synthetic data).
• Experience with agentic AI systems — orchestration, tool calling, agent identity and permissioning, and runtime monitoring or red teaming.
• Understanding of MLOps/LLMOps, inference infrastructure, and vector/data pipelines.
• Relevant certifications or background (e.g., ISO/IEC 42001, NIST AI RMF, AIGP, CIPP/E, CIPM) or a background in ML, security, law, or compliance.

Why This Role

Responsible AI is one of the defining challenges of this era — and at PrivaSapien you'll shape the products that let enterprises assess, secure, and operate AI they can trust. You'll own a strategically critical, globally visible portfolio end to end — across AI Assessment, Safe AI Inference, and Trusted Agents — with real autonomy over strategy, roadmap, delivery, and go-to-market, engaging the world's leading enterprises and analysts along the way. If you want your product decisions to make AI safer for millions of people while turning trust into a durable business advantage, this is the seat to do it from.