Product Engineer

Who you are

• You care about the customer more than the spec:
  You want to understand what users are trying to do, what’s broken, and what “better” looks like. You don’t hide behind requirements.
• You move fast and fix things:
  You prefer short cycles. Ship, measure, learn, repeat. When something’s off, you act.
• You’re comfortable in the fog:
  We’re early-stage. Priorities shift, information is incomplete, and you can still make good calls and keep momentum.
• You take ownership:
  You don’t just implement tickets. You own outcomes from idea → build → release → follow-up.
• You’re relentlessly efficient:
  You cannot stand inefficiencies. You simplify, automate, and remove friction. If something takes 10 steps, you make it 3.
• You use AI as leverage:
  You use AI tools to speed up coding, debugging, testing, documentation, and support workflows, while staying accountable for correctness and security.
• You’re a good teammate:
  Direct, low-ego, collaborative. You communicate early, share context, and help the team operate as a unit.

• Staying close to customers:
  Talk to users, read feedback, watch usage, dig into support threads, and translate insights into shipped improvements.
• Being reactive (in a good way):
  When we learn something new, we adapt immediately—tight loops from insight → implementation → release.
• Shipping value constantly:
  Frequent releases, rapid iteration, and a bias toward making things real.
• Going where the bottleneck is:
  Work across the stack—frontend, backend, data, integrations, infra—whatever unblocks progress.
• Making the team faster:
  Improve dev experience (tooling, CI, local workflows, release process, observability) so speed compounds over time.
• Writing it down:
  Short proposals to align quickly, gather feedback, and document decisions.
• Making pragmatic tradeoffs:
  We’re still finding product-market fit. Sometimes we ship slightly rough to learn faster, then refine once we know it matters.

• Customers feel the product improving week over week
• You help us learn faster by shipping and closing feedback loops
• The team’s velocity increases because you remove friction and build “paved paths”
• You reliably take work from idea to impact