MTS - Research

InteractionPalo Alto, CA

About The Position

Interaction is a $300M consumer company backed by $27M from General Catalyst and angels such as Guillermo Rauch (Vercel), Scott Wu (Cognition), Patrick and John Collison (Stripe), Fred Ehrsam (Coinbase), Ken Howery (Co-Founder of PayPal and Founders Fund), and many others. For the last year, our core engineering team has built this entire agent platform from the ground up. Now, traffic and concurrent agent executions are scaling by orders of magnitude. We need engineers to harden infrastructure without slowing down feature velocity. We only care about technical depth, obsession with your craft, and how well you can build alongside us. Our current team is strongly connected and talent-dense, with backgrounds from Jane Street, MIT/Stanford research, and International Olympiads, but we care more about experience building than your pedigree.

Requirements

  • Technical depth.
  • Obsession with your craft.
  • Ability to build alongside the team.
  • Rigor under pressure.
  • Ability to move between infra, product, and debugging.
  • Ability to stabilize melting systems while still shipping features.
  • Platform thinking.
  • Low ego.
  • Ownership.
  • Technical depth.
  • Experience building systems.

Nice To Haves

  • Experience in Typescript and Python (though not a deal breaker).

Responsibilities

  • Harden infrastructure without slowing down feature velocity.
  • Navigate the whole stack as a T-shaped engineer.
  • Specialize in at least one of the following areas: Scale & Infra (High-concurrency, low-latency, distributed state under heavy load), Product (Prototyping, shipping, and iterating on agentic workflows zero-to-one), Extensibility & DevTools (APIs, SDKs, and primitives that make Poke programmable by external developers), AI Runtime & Evals (Tool use, model selection, and output quality in production), Post-Training & Alignment (SFT, preference optimization, reward modeling, synthetic data generation, eval design, and improving agent performance through training rather than prompting).
  • Design primitives, not one-off features.
  • Build solutions that solve today's product needs while unlocking ten future use cases.
  • Take ownership and demonstrate technical depth.
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