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Kinelo, a seed-stage company with a San Francisco office, is hiring two Product Engineers to collaborate with AI agents and human teammates. You’ll help shape architecture, product requirements, and user needs while delivering software that ships and scales in a fast-moving environment.
The role emphasizes ownership, cross-functional teamwork, and comfortable ambiguity as Kinelo rethinks how teams and AI work together.
At Kinelo, we are rethinking organizational structure, corporate hierarchy, and how people work together with machines. Today, we're building the context layer that connects the tools teams already use into persistent memory that AI agents can reason over and act on. We're heading toward a world where AI coworkers work alongside humans at every level of a new kind of fast-moving, hyperefficient organization, with purpose and responsibilities, not just tasks.
We're a small, seed-stage company that just opened an office in San Francisco. We're looking to hire two Product Engineers to collaborate closely with each other and with the AI agents and coworkers that will support them.
This is a technical role for software engineers excited to use the leverage that AI allows in producing code to allow focus on higher order technical architecture, product requirements, and user needs. Your job as Product Engineer is to see around the corners in the market, our product, and its technical implementation. You should have immense software wisdom, the kind not yet encoded in the weights of an LLM. You communicate well, exercise ownership over your responsibilities and your decisions, and move fast in the most competitive market that has ever existed.
Your job is not to sit in isolation, as an artisan meticulously crafting lines of code to satisfy a JIRA ticket. It's to have impact through software creation, participating in engineering, technical, and architecture implementation and review, while working closely with your human and AI coworkers to ship software products that satisfy real user needs.
We are looking for generalist polymaths who have seen the failings of traditional technologies, ways of working, and organizational bureaucracy.
On a given day or week, you might: