Associate Product Engineer

Snyk Snyk · Enterprise · Boston, MA

Associate Product Engineer role focused on building AI-native security solutions. Responsibilities include engineering customer feedback loops using automation, scaling outbound engine with agentic frameworks, driving product-led growth via code (telemetry, onboarding, pricing), building internal tools with AI, and shaping go-to-market strategy. Requires production-ready code in Python/TypeScript and experience with agentic frameworks or modern deployment platforms.

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
  • experience with agentic frameworks (e.g., LangChain, CrewAI) or modern deployment platforms (e.g., Vercel, Replit)
  • deep interest in the intersection of technical architecture and revenue growth
  • ability to build tools to fix friction points
  • ability to debate model architectures and present pricing models

What the JD emphasized

  • agentic frameworks
  • LLM APIs
  • production-ready code

Other signals

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