Senior Product Manager I

Sumo Logic Sumo Logic · Enterprise · India · Product Management

Product Manager for an AI Agent Platform focusing on governance, security, and enterprise controls for how AI agents interact with the Sumo Logic platform.

What you'd actually do

  1. Own product strategy and execution for MCP and governed agent access to Sumo Logic capabilities.
  2. Define how agents, tools, skills, APIs, and external clients can safely interact with the Sumo Logic platform.
  3. Drive requirements for headless agent invocation, including access patterns across external clients, partner tools, IDEs, terminals, Slack, and other future surfaces.
  4. Shape Sumo Logic’s approach to agent-to-agent integrations, including invocation boundaries, trust models, permissioning, and auditability.
  5. Define governance models for tools, skills, agents, context, memory, and reusable content across the AI platform.

Skills

Required

  • 4+ years of product management experience, ideally in enterprise SaaS, cloud platforms, security, IAM, APIs, AI platforms, developer platforms, observability, or security products.
  • Strong technical product instincts around permissions, governance, APIs, platform architecture, admin controls, and enterprise-scale systems.
  • Familiarity with AI agent concepts such as MCP, tools, skills, agent orchestration, headless invocation, agent-to-agent workflows, context, memory, and guardrails.
  • Strong understanding of enterprise controls such as RBAC, OAuth, API keys, service accounts, audit logs, policy enforcement, rate limits, throttling, quotas, and data access boundaries.
  • Ability to ask the right questions, identify edge cases, and think through how product capabilities behave under real enterprise constraints.
  • Strong analytical skills; comfortable using telemetry, dashboards, SQL, and usage data to understand adoption, friction, failures, and risk.
  • Strong communication skills across both technical and business audiences.
  • Ability to write clear product proposals, decision docs, PRDs, user stories, and acceptance criteria.
  • A fast learner who can quickly ramp on emerging areas like MCP, agent governance, AI platform architecture, and enterprise AI controls.
  • High ownership, hustle, and drive to make progress in ambiguous, fast-moving product areas.

Nice to have

  • Asks the right questions - especially around trust, permissioning, edge cases, customer impact, and failure modes.
  • Strong communicator - can explain complex platform and governance concepts clearly.
  • High drive and ownership - pushes through ambiguity and drives execution.
  • Strong analytical capability — uses data to prioritize, validate, and refine product decisions.
  • Quick learner - can rapidly understand MCP, governance, IAM, AI agents, and platform architecture.
  • Tradeoff thinker - can frame options, tradeoffs, and recommendations clearly.

What the JD emphasized

  • enterprise controls
  • governance
  • agentic workflow
  • agent-to-agent integrations
  • governed agent access
  • agent governance
  • enterprise AI controls

Other signals

  • AI agents
  • governance
  • enterprise controls
  • platform