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Codecov · 4 months ago

Lead Product Marketing Manager, AI

San Francisco, CA

Full-time

Hybrid

Senior Level

$200K/yr - $215K/yr

5+ years exp

Codecov is a company dedicated to helping developers write better software faster. As the Lead Product Marketing Manager for AI, you will own the go-to-market strategy for Sentry’s AI-powered products, shaping how they are brought to market and driving adoption among developers working on AI systems.

Developer ToolsEnterprise SoftwareSaaSTest and Measurement

Responsibilities

Lead the product marketing strategy for Seer, Sentry’s AI observability and agent debugging tool—helping developers understand, test, and trust what their AI agents are doing

Drive adoption of Sentry’s AI-powered features, from issue triage and summaries to suggestions and code fixes

Build campaigns and content for AI-native teams—startups shipping new LLM products, platform teams scaling agent infrastructure, and engineers responsible for reliability in AI-driven apps

Be the voice of the AI builder. Understand how and where their systems fail, and how Sentry can help—from fine-tuning through debugging in production

Craft sharp, technically accurate messaging that speaks to developers, ML engineers, and platform teams—grounded in real-world pain, not fluff

Ride shotgun with Sales Engineers and Solutions Architects to develop enablement, playbooks, and content that help teams adopt Seer and understand why agent observability even matters

Plan and coordinate launches for Seer and other AI features across multiple channels, making Sentry impossible to ignore in the AI observability space

Consider a launch Chapter 1. Continue the momentum with use-case content, customer stories, and lifecycle campaigns that drive usage and expansion

Keep a third eye on agent frameworks, LLM development trends, and AI tooling gaps. Use those insights to influence roadmap, messaging, and market position

Get cozy with PMs, EMs, Biz Ops, Sales, and Customer Success to align on product priorities and create feedback loops that keep us close to what AI teams really need

Qualification

Product marketing strategyTechnical product launchingAI observabilityMarketing to software engineersMachine learning workflowsWritten communicationVerbal communicationCross-functional collaboration