Senior Product Manager I

2 days ago
Full-time
Senior
Product Management
Sumo Logic

Sumo Logic

Sumo Logic offers top-tier cloud monitoring, log management, and Cloud SIEM tools for web and SaaS apps, empowering businesses with real-time insights and high-quality software delivery.

Internet Software & Services
251-1K
Founded 2010

Description

  • Own product strategy and execution for MCP and governed agent access to Sumo Logic capabilities.
  • Define how agents, tools, skills, APIs, and external clients safely interact with the platform.
  • Drive requirements for headless agent invocation across external clients, partner tools, IDEs, terminals, Slack, and future surfaces.
  • Shape agent-to-agent integrations, including invocation boundaries, trust models, permissioning, and auditability.
  • Define governance models for tools, skills, agents, context, memory, and reusable content across the AI platform.
  • Partner with engineering and architecture on rate limiting, throttling, quotas, tenant isolation, abuse prevention, and safe defaults.
  • Drive requirements for RBAC, data access controls, service accounts, OAuth/API access, service allowlisting, and admin-configured policies.
  • Define enterprise admin controls for approved tools, accessible content, long-term memory, context sources, and policy enforcement.
  • Ensure agentic actions are observable, auditable, permission-aware, and explainable to enterprise admins.
  • Translate strategy into PRDs, proposals, user stories, acceptance criteria, and phased rollout plans.
  • Use telemetry and usage data to monitor adoption, failures, policy violations, latency, and operational reliability.
  • Create leadership-facing proposals that explain tradeoffs across customer demand, governance, platform complexity, and architecture.

Requirements

  • 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 product behavior under real enterprise constraints.
  • Strong analytical skills and comfort using telemetry, dashboards, SQL, and usage data to understand adoption, friction, failures, and risk.
  • Strong communication skills across 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.

Benefits

  • Work on one of the largest-scale data problems in the industry.
  • Your work directly impacts the company’s bottom line.
  • Your work helps free up capital for new product investments.
  • Opportunity to work at the intersection of AI-powered SIEM, log analytics, and enterprise security operations.
  • Exposure to a platform used by customers worldwide for security, reliability, and operational insight.

Interested in this position?

Apply directly on the company website

Apply Now

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