{"id":205076,"url":"https://alion.io/job/pear-vc-staff-engineer-tanagram","title":"Staff Engineer — Tanagram","company":{"id":6218,"name":"Pear VC","domain":"pear.vc","url":"https://alion.io/company/pear-vc","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":65,"open_postings":71,"ghost_share":0.507,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Slack","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2025-07-12T21:12:48Z","employer_posted_date":"2025-07-12","last_verified_at":"2026-11-09T08:45:02Z","board_verified":true,"closed_at":null,"days_open":484,"trust":{"level":"ghost","repost_count":1,"flags":["stale","company_stale"],"days_open":484},"description":"Tanagram's mission is to accelerate agentic coding. We automatically find all the engineering lessons buried in codebases, code reviews, incident post-mortems, and Slack chats, and turn them into real-time guardrails that flag or fix risky patterns in coding agents and PRs, so that teams can ship faster and avoid disaster.\nWe're building a small, diverse team of exceptional engineers who are excited about the future of agentic coding and care deeply about creating tools that make software development faster and more reliable. We're looking for meticulous, high-agency people who have good judgment around what problems to solve, the skills to build a great product around it, and the hunger to iterate towards better versions.\nAbout This Role:\nYou’ll be working across the stack, including our Typescript+React frontend, Python/Go backend, and LLM infrastructure. You should have a good intuition for the right tools to use, and how to configure, combine, and tweak them to deliver the best results for our users.\nYou bias towards action, and eagerly jump on things (or assign an agent) “now” rather than “later” or “tomorrow”. You say what you're going to do, and you do it (quickly).\nWe work hybrid in-person in San Francisco (our office is in Mission Bay) and NYC, but are open to remote for strong candidates.\nHere's a guide to how we work.\nResponsibilities:\nTalk directly to users: understand their requirements, build what they ask for, ask for their feedback, follow up as needed, and iterate based on what they say.\n\nCraft delightful product interactions.\n\nProactively identify and implement improvements to our product and foundations (e.g. propose improvements to our core product; add database indices to better serve a feature; build internal tooling to manage the user experience around a feature).\n\nOther things that may come up from time to time to move our company forward (or keep the lights on).\n\nCollaborate closely with teammates and share learnings openly - we value thoughtful discussion as much as rapid iteration.\n\nShare and promote your work publicly (e.g. on Twitter, LinkedIn, Reddit, etc).\n\nWhat We Offer:\nChallenging work on enterprise-scale codebases and datasets.\n\nUnlimited token usage for development using Amp.\n\nHigh compensation (and a long runway).\n\nEmployee-friendly equity terms (low FMV, early exercise, extended exercise).\n\nYour choice of Macbook Pro + computer/office equipment stipend.\n\nHealth, dental, and vision insurance.\n\nA relatively un-chaotic working environment (we aren't pivoting every week).\n\nAn opportunity to lead and define our company.\n\nQualifications:\nExperience building 0 to 1 products, either as a founder, or early engineer at a funded startup.\n\nHands-on experience with the latest AI models, with a strong intuition about model capabilities, the behavioral nuances of each, and how to prompt them to get the best results.\n\nData science experience, especially around clustering and anomaly detection.\n\nClear and thoughtful communication on technical and strategic topics: at this stage, you'll be helping build the foundations of our company. You should have ideas/opinions about almost everything we do, and you should be forthcoming with your thoughts (even if it means being disagreeable).\n\nWell-crafted, tastefully-design work examples.\n\nBonus points:\nExperience working on programming language tooling: compilers/parsers/indexers (e.g. LLVM, tree-sitter, SCIP) or type systems (e.g. Typescript itself or Sorbet).\n\nWe encourage you to apply even if you don’t meet every qualification listed. We value potential, curiosity, and a willingness to learn as much as we value prior experience. Tanagram is committed to building a diverse and inclusive team - we believe different perspectives make us stronger.\nCompensation:\nDepending on the relevance and amount of your experience:\nSalary for this position ranges from $180,000 to $250,000 USD\n\nEquity ranges from 0.5% to 2%.\n\nIf we move forward with an offer, you will have a choice between more cash or more equity.","description_format":"text","description_chars":4034,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Equity","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Venture Capital"],"lifecycle":[{"event":"open","at":"2026-09-05T07:39:06Z"},{"event":"reopen","at":"2026-10-14T00:16:54Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.117,"p_room":0.28,"age_days":484,"expected_fill_days":64,"reasons":["conf:1","agency","stale_co","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/pear-vc-staff-engineer-tanagram","json_url":"https://alion.io/job/pear-vc-staff-engineer-tanagram.json","meta":{"generated_at":"2026-11-09T11:53:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14328,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6218},"rest":"https://alion.io/mcp/rest/get_company?id=6218"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpear-vc-staff-engineer-tanagram"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpear-vc-staff-engineer-tanagram"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpear-vc-staff-engineer-tanagram"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pear-vc-staff-engineer-tanagram\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpear-vc-staff-engineer-tanagram"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":205076}},{"tool":"search_jobs","arguments":{"company":"pear.vc","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":205076},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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