{"id":829892,"url":"https://alion.io/job/withdaydream-senior-fullstackbackend-engineer","title":"Senior Fullstack/Backend Engineer","company":{"id":689299,"name":"daydream","domain":"withdaydream.com","url":"https://alion.io/company/withdaydream","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":280000,"currency":"USD","period":"year","gross":null,"usd_annual":280000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Replit","optional":false},{"name":"Slack","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":".NET","optional":true},{"name":"Anthropic","optional":true},{"name":"JavaScript","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"NLP","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-05-12T17:12:25Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-01T04:00:43Z","board_verified":true,"closed_at":null,"days_open":142,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":141},"description":"About sunbeam\nsunbeam is building a fully autonomous SEO agent.\nIt monitors rankings and competitors, finds content and technical SEO opportunities, writes and improves pages, and publishes to the customer's website.\nThe agent runs 24/7. It proactively finds work to do, prioritizes tasks, and executes across tools, messaging its manager in Slack when it needs context or approval.\nWe are not building a chatbot. We are building an employee.\nWhy us\nWe ran an SEO agency before building sunbeam. We did SEO for Clay, Replit, Hims & Hers, Rho, and others. We know the work deeply, and we are encoding that expertise into an agent that can do the job with full independence.\nWe have raised $20M+ from First Round Capital, Basis Set Ventures, WndrCo, and SOMA Capital.\nWe are starting with SEO, but the long-term goal is every acquisition channel. Marketing services is a $1T/year industry. If AI has automated coding, marketing is next.\nThe Engineering Challenge\nFully autonomous agents are still mostly unsolved.\nsunbeam has to plan and prioritize work across weeks and months without a human prompt. It has to reason from messy customer context, durable memory, live search data, CMS state, analytics, and prior decisions. It has to use tools safely, know when to act, know when to ask, recover when integrations fail, and keep improving as it learns more about the company.\nThe next years of AI will be defined by this shift from \"ask → answer\" to \"observe → act.\"\nWhat You Will Do\nAct as the technical lead for day-to-day engineering execution across the team, designing core system architecture, guiding implementation decisions, and setting standards for quality and reliability.\n\nBuild scalable, concurrent GraphQL APIs for everything from user auth/signup, to subscriptions for messaging and agent events.\n\nThink about product security top-down, implementing it across services and access boundaries.\n\nBuild observability and evaluation workflows so we can understand agent behavior, catch regressions, and measure whether Sunbeam is getting better at the job.\n\nWork primarily across backend systems, data pipelines, and AI-enabled services, using Python, TypeScript, and C#, deployed on Google Cloud.\n\nShip quickly across the stack. On a given week, you might improve our dashboard metrics, add a feature to debug Sunbeam's thought process, experiment with ideas for complex integrations, refactor our codebase, and fix an inconsistency in our message ingestion system.\n\nWhat We Are Looking For\nYou have been building backend systems for 3+ years, with experience in production scalability, security, observability, and LLM agents, evals, tool-use systems, retrieval/memory systems, or workflow automation.\n\nYou want to understand the customer problem deeply enough to encode judgment into software.\n\nYou are comfortable working across the stack and across levels of abstraction: from \"what should the agent do next?\" to \"why did this Postgres row end up in the wrong state?\"\n\nYou are excited by early-stage ambiguity, fast iteration, and a small team where everyone touches product, engineering, design, and customer problems.\n\nYou have a consistently high bar for code quality, reliability, and technical excellence.\n\nNice to Have\nExperience at a marketing, sales, or growth AI company.\n\nExperience building from 0 to 1 and 1 to 10 at an early-stage startup.\n\nFamiliarity with C#, .NET, TypeScript, React, GraphQL, Postgres, or MCP-style tool integrations.\n\nThe Team\nSmall team, San Francisco office, shipping every day.\nShravan (CTO), formerly an Engineering Lead at Flixed and a Software Engineer at Facebook, where he worked on mass-scale web scraping for Facebook Jobs and Meta Reality Labs.\n\nNico (Product), previously led growth at daydream and ran SEO for Anthropic, Clay, Replit, and others.\n\nVishruth (Founding Applied AI Engineer), previously a Data Scientist at Klaviyo specializing in NLP, with a research background from Cornell.\n\nDaniel (Founding Applied AI Engineer), formerly a Data Engineer on Tesla's Autopilot team and previously Lead Data Engineer at Replit.\n\nTom (Founding Designer), who previously led product design at Blockless and now leads our frontend efforts.\n\nLocation\nThis role is based in San Francisco and requires in-person collaboration five days a week. We offer paid relocation for candidates outside the Bay Area.\nCompensation & Benefits\n$180,000-$280,000 base salary range plus equity. Medical, dental, and vision insurance. Lunch on in-office days. Wellness and learning stipends. Two retreats a year. Frequent team dinners and outings.","description_format":"text","description_chars":4584,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Sales & Marketing","Search Engine Optimization (SEO)","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-12T16:11:34Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.324,"p_room":0.28,"age_days":141,"expected_fill_days":42,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":280000,"is_top_pay":true},"html_url":"https://alion.io/job/withdaydream-senior-fullstackbackend-engineer","json_url":"https://alion.io/job/withdaydream-senior-fullstackbackend-engineer.json","meta":{"generated_at":"2026-10-01T19:57:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2617,"day_limit":5000,"remaining_today":2383,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}