# Scientist Relations at Keenable > United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Akeenable%3Aea934a9e-48f7-4e86-888f-ea8abc864559 (read 2026-11-11). ## Facts (observed) - Company: [Keenable](https://alderhq.app/companies/keenable) - Location text: USA - San Francisco - Where it can be done from (inferred): United States (evidence: "Location: USA - San Francisco") - Posted: 2026-08-19 (84 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/keenable/ea934a9e-48f7-4e86-888f-ea8abc864559 ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 3238): p25 $90k, median $146k, p75 $200k ## Description (the employer's text) Keenable builds AI infrastructure for web search and knowledge access at web scale. We are building systems and new retrieval primitives that make the world's constantly growing knowledge accessible to models. If you do not match every requirement, you should still apply. We care much more about trajectory than polish. We hire for agency, speed, ownership, and the ability to turn ambiguity into working systems. This is a founding Scientist Relations role, which means you'll be embedded with the engineering team reading and writing code, and you'll be the person researchers and agent builders know at Keenable. ### Responsibilities Own Keenable's voice on X and our other channels: posts, launch threads, and benchmarks that researchers and engineers actually read and share. Write technical content drawn from what the team is really building: blog posts, teardowns, eval results, and the launch post for every partner integration. Build and run the community around the product: the researchers and agent builders who use Keenable, and the spaces where they talk to us and to each other. Organize events where strong scientists and engineers encounter Keenable: meetups, workshops, dinners, hackathons, and our presence at the conferences that matter. Bring back what researchers find, break, and wish for, and turn it into product and evaluation work with the engineering team. ### Requirements Exceptional writing. You know the difference between content that earns attention and content that fills a feed, and you've written things engineers actually shared. A feel for the research and developer zeitgeist on X: what practitioners find credible, what reads as hype, what lands versus gets flagged. Strong engineering foundation. You've shipped software and can hold a credible technical conversation about retrieval, agents, evals, or production trade-offs. Prefer flat titles and large scope. Want the mission: make the world's knowledge accessible to agents. ### Perks Frontier AI infrastructure work with real technical depth and real scale. High autonomy, low process, and real production problems. Access to meaningful compute and infrastructure for experimentation. Competitive compensation with meaningful early-stage equity. A small, high-talent team with direct exposure to frontier customers. Premium medical, dental & vision coverage, Health Savings Account (HSA). 401(k) retirement plan. Flexible time off. We trust you to manage your time and recharge when needed. ### Things you should know This is startup work. It is intense, ambiguous, and results-oriented. Our interview process reflects real work. We evaluate how you operate, not trivia. We move quickly when there is mutual excitement. Bay Area preferred. You'll run X with direct visibility into everything the team ships, and you'll organize the hackathons, dinners, and meetups that put Keenable in front of the researchers and builders here, so you need to be in the room with them. ### Sample problems you might work on Turn an internal eval result into a benchmark post that lands on X and Hacker News without reading as marketing. Organize a founders hackathon at Stanford that puts Keenable's web search in the hands of great builders and turns their projects into an authentic product story. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Akeenable%3Aea934a9e-48f7-4e86-888f-ea8abc864559 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.