Continuous optimization for AI agents
Papaya is the optimization engine for AI agents. Engineers don't have time to continually improve the agents they've shipped — the context bloat, overly chatty subagents, and broken tool calls sit in production traces nobody reads, quietly hurting agent efficiency. With Papaya they connect their agent directly via SDK, get actionable recommendations on how to improve quality, latency, and cost, and the ones they approve are pushed to production as pull requests. Papaya runs 200+ research-backed analyses across context, prompts, prompt caching, subagents, and tool calls. Every recommendation is ranked by impact and comes with the production runs that produced it — typically a 10%+ quality improvement on the first workflow analysis.
Each role is checked for where applicants can be based.
Papaya may still be hiring. Their careers page has the latest openings.
Open Papaya’s careers pagePapaya is the optimization engine for AI agents.
Not on RemoteWork at the moment. Papaya's own careers page has its current openings.
Papaya is headquartered in San Francisco, USA.
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Hiring signal
The supplied Greenhouse board currently shows no openings and says Papaya can hire only in CA, CO, FL, IL, MI, NJ, NC, OH, PA, RI, TX, WA, and NY. However, that board describes a consumer bill-payment app and lists a different contact domain, so it does not appear to be for the exact papaya.fyi company. No verified job listings for papaya.fyi were found. Inferred: the three-person startup may recruit selectively, but there is no public evidence of an opening suitable for an Africa-based applicant.
Tech stack
In the full report
What they actually do
Why reach out now
Funding and traction
Key contacts
3 named people at Papaya, with LinkedIn links.
Outreach hook
Drafted opening line
Papaya has 3 employees.
Papaya's funding stage is y combinator fall 2026.
what they actually do, why reach out now, funding and traction, hiring signal, tech stack, key contacts, outreach hook, drafted opening line. The hiring signal and tech stack are free to preview. The full report costs ₦1,500 or €1.50, once.