Senior Product Manager I

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Product Manager I Noida, Uttar Pradesh, India Senior Product Manager I - Agent Platform & Governance Sumo Logic is hiring a Senior Product Manager I to help define how AI agents, MCP clients, and enterprise workflows safely interact with the Sumo Logic platform. As AI becomes a broader interface for accessing data, insights, and platform capabilities, customers need confidence that every agentic workflow is secure, governed, auditable, and aligned with enterprise controls. This role will own key product areas across MCP strategy, agent governance, headless invocation, agent-to-agent integrations, RBAC, rate limiting, throttling, quotas, admin controls, and auditability. You will work closely with engineering, architecture, security, AI, platform, and customer-facing teams to turn ambiguous platform and governance needs into scalable product capabilities. This is a hands-on role for someone who can operate at the intersection of technical platform depth, enterprise customer trust, and fast-moving AI product strategy. What You Will Be Doing - Own product strategy and execution for MCP and governed agent access to Sumo Logic capabilities. - Define how agents, tools, skills, APIs, and external clients can safely interact with the Sumo Logic platform. - Drive requirements for headless agent invocation, including access patterns across external clients, partner tools, IDEs, terminals, Slack, and other future surfaces. - Shape Sumo Logic's approach to 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,

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