Sumo Logic18.05.2026
Senior Product Manager I
Noida
Обязанности
- 01Own product strategy and execution for MCP and governed agent access to Sumo Logic capabilities
- 02Define how agents, tools, skills, APIs, and external clients can safely interact with the Sumo Logic platform
- 03Drive requirements for headless agent invocation, including access patterns across external clients, partner tools, IDEs, terminals, Slack, and other future surfaces
- 04Shape Sumo Logic’s approach to agent-to-agent integrations, including invocation boundaries, trust models, permissioning, and auditability
- 05Define governance models for tools, skills, agents, context, memory, and reusable content across the AI platform
- 06Partner with engineering and architecture on rate limiting, throttling, quotas, tenant isolation, abuse prevention, and safe defaults for agentic workflows
- 07Drive product requirements for RBAC, data access controls, service accounts, OAuth/API access, service allowlisting, and admin-configured policies as they apply to agents and MCP-based access
- 08Define enterprise admin controls for managing agent access, approved tools, accessible content, long-term memory, context sources, and policy enforcement
- 09Ensure agentic actions are observable, auditable, permission-aware, and explainable to enterprise admins
- 10Translate strategic direction into crisp PRDs, proposals, user stories, acceptance criteria, and phased rollout plans
- 11Use telemetry to monitor agent usage, MCP adoption, tool calls, rate-limit hits, permission failures, policy violations, latency, and operational reliability
- 12Create leadership-facing proposals that clearly explain tradeoffs across customer demand, governance, platform complexity, and long-term architecture
Требования
- 014+ years of product management experience, ideally in enterprise SaaS, cloud platforms, security, IAM, APIs, AI platforms, developer platforms, observability, or security products
- 02Strong technical product instincts around permissions, governance, APIs, platform architecture, admin controls, and enterprise-scale systems
- 03Familiarity with AI agent concepts such as MCP, tools, skills, agent orchestration, headless invocation, agent-to-agent workflows, context, memory, and guardrails
- 04Strong understanding of enterprise controls such as RBAC, OAuth, API keys, service accounts, audit logs, policy enforcement, rate limits, throttling, quotas, and data access boundaries
- 05Ability to ask the right questions, identify edge cases, and think through how product capabilities behave under real enterprise constraints
- 06Strong analytical skills; comfortable using telemetry, dashboards, SQL, and usage data to understand adoption, friction, failures, and risk
- 07Strong communication skills across both technical and business audiences
- 08Ability to write clear product proposals, decision docs, PRDs, user stories, and acceptance criteria
- 09A fast learner who can quickly ramp on emerging areas like MCP, agent governance, AI platform architecture, and enterprise AI controls
- 10High ownership, hustle, and drive to make progress in ambiguous, fast-moving product areas
- 11Asks the right questions - especially around trust, permissioning, edge cases, customer impact, and failure modes
- 12Strong communicator - can explain complex platform and governance concepts clearly
- 13High drive and ownership - pushes through ambiguity and drives execution
- 14Strong analytical capability — uses data to prioritize, validate, and refine product decisions
- 15Quick learner - can rapidly understand MCP, governance, IAM, AI agents, and platform architecture
- 16Tradeoff thinker - can frame options, tradeoffs, and recommendations clearly