Associate Product Engineer

Snyk Snyk · Enterprise · London, United Kingdom

Associate Product Engineer role focused on building AI-native security solutions, bridging the gap between the platform and the market. Responsibilities include engineering customer feedback loops, scaling outbound engines with agentic frameworks, driving product-led growth via code, building internal tools with AI, and shaping go-to-market strategies.

What you'd actually do

  1. Engineer the Customer Feedback Loop: You won't just talk to customers; you will build the automation that identifies the right partners, ingests their technical requirements, and synthesizes them into actionable code-level priorities.
  2. Scale the Outbound Engine: Use agentic frameworks and app generators to automate our "Outbound PM" activities—from competitive intelligence gathering to technical sales-enablement tools.
  3. Drive Product-Led Growth via Code: You will be responsible for the "Product-Led Growth" implementation - building the telemetry, self-serve onboarding triggers, and usage-based pricing logic that allows Evo to scale without a massive sales force.
  4. Build the "Product Machinery" : Use modern AI tools (Cursor, agent builders, LLM APIs) to prototype new features and internal tools that help the Evo team move 10x faster than traditional product orgs.
  5. Shape the GTM and Product Approach: Partner directly with the Evo leadership to influence pricing, packaging, and positioning, ensuring our commercial strategy is as technical and innovative as our product.

Skills

Required

  • production-ready code in Python or TypeScript
  • portfolio of projects that prove you can build in the AI era
  • used agentic frameworks (e.g., LangChain, CrewAI) or modern deployment platforms (e.g., Vercel, Replit)
  • Commercial Acumen
  • Radical Autonomy
  • Communication Mastery

Nice to have

  • Computer Science or Engineering degree

What the JD emphasized

  • build the automation
  • agentic frameworks
  • app generators
  • Product-Led Growth implementation
  • modern AI tools
  • agent builders
  • LLM APIs
  • prototype new features
  • technical architecture
  • revenue growth
  • build a tool to fix it

Other signals

  • AI-native Developer Security Platform
  • building the future of AI-native security
  • agentic frameworks
  • LLM APIs
  • Product-Led Growth implementation