Jobs · Engineering

AI Product Engineer

Varsity Tutors, a Nerdy Company · Austin, TX · 3 wk ago
RemoteRemoteEngineeringFull-time

About the role

We’re looking for an AI Product Engineer who blends the instincts of a product thinker with the execution chops of a strong engineer. This role is perfect for builders who thrive at the intersection of discovery, design, rapid prototyping, and shipping real customer-facing features.

Responsibilities

  • Identify and deeply understand customer problems through data, feedback, and direct observation.
  • Define AI-powered features or improvements, including writing crisp problem statements, user flows, and success criteria.
  • Prototype and build end-to-end solutions, spanning front-end, back-end, and AI-powered logic.
  • Integrate AI into products thoughtfully, prioritizing user value and reliable outcomes over novelty.
  • Collaborate closely with product, design, and engineering to deliver high-quality features quickly.
  • Own quality and performance, ensuring what you ship is fast, reliable, and delightful.
  • Set up measurement and feedback loops to continuously improve features.
  • Operate like an owner, accountable for the impact of what you build.

Qualifications

  • Strong engineering skills in one or more areas: front-end, back-end, full-stack, systems, or similar.
  • Demonstrated ability to own a problem from concept through shipped solution.
  • Experience building software products, internal tools, prototypes, or applications.
  • Comfort working across product and engineering boundaries — writing specs, designing workflows, and building the solution.
  • Experience using AI tools to accelerate development (e.g., chat-based coding assistants, automation tools, rapid prototyping tools).
  • Excellent communication skills across cross-functional teams.
  • A customer-obsessed mindset — grounding decisions in user needs, outcomes, and real behavior.
  • Ability to move quickly, make sound tradeoffs, and iterate based on evidence.
  • Familiarity with cloud environments (any major provider).
  • Comfort analyzing data, defining success metrics, and interpreting signals to guide product improvements.
  • Experience working in fast-paced, highly iterative environments.

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