Technical Product Marketing Manager

present of AI; Palo Alto (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Endor Labs in Palo Alto is seeking a product marketer who can turn deep security and developer product details into clear stories for both security and developer audiences. A strong candidate has product marketing experience with developer or security tools, knowledge of DevOps or DevSecOps, and can articulate value to buyers.

You will own launches and sales enablement across teams, build compelling positioning, and collaborate with product, security, and engineering to ensure credible messaging.

Qualifications

• Experience in product marketing for developer or security tools.
• Knowledge of DevOps or DevSecOps.
• Ability to run launches and enablement across teams.
• Strong writing and speaking skills.
• Experience with customer and competitive research.

Responsibilities

• Translate deep technical product details into clear stories for security and developer audiences.
• Lead launches and sales enablement across teams.
• Develop positioning, messaging, and go-to-market assets.
• Collaborate with product, security, and engineering to ensure credible messaging.

Skills

Developer security product marketing

DevOps/DevSecOps knowledge

Launch ownership

Technical writing

Public speaking

Customer research

Competitive research

Job description

The role asks for someone who can turn deep technical product details into clear stories for security and developer audiences. A strong candidate has product marketing experience with developer or security tools, knows DevOps or DevSecOps, and can run launches and sales enablement across teams. Writing, public speaking, and project management matter as much as market understanding.

How it fits the AI era

AI coding agents now produce code faster than teams can review it, so this role must explain how security controls sit outside the model and make every agent action visible. The work shifts toward translating reachability and exploit evidence into messages that both security and engineering groups trust. Human judgment stays central in shaping positioning, interviewing customers, and deciding which claims are credible.

How it builds AI experience

The candidate would gain hands-on familiarity with securing AI-generated code, agent hooks, skills, and MCP, plus how a code context graph shows reachable vulnerabilities. Building that experience means learning how coding agents operate inside their harness and how open source, container, and infrastructure risks connect. Practicing clear messaging about these topics for developer and security buyers would strengthen the fit.

Worth showing

• Developer security product marketing
• DevOps or DevSecOps knowledge
• Launch and go-to-market ownership
• Technical writing and speaking
• Customer and competitive research

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

Per the company, Endor Labs provides an agentic application security platform that secures AI-generated code, open source dependencies, and containers.