{"id":2174361,"url":"https://alion.io/job/2025-sylvan-labs-inc-founding-forward-deployed-engineer","title":"Founding Forward Deployed Engineer","company":{"id":3871391,"name":"Sylvan Labs","domain":"sylvanlabs.com","url":"https://alion.io/company/sylvanlabs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["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":"dbt","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:05:18Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-21T08:42:32Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"About Sylvan\nSylvan is building autonomous revenue teams.\nWe help B2B companies grow and protect revenue from their existing customers by identifying revenue-driving signals and deploying agents that act on them at the exact moment, across every account. We work with customers ranging from fast-growth startups to Fortune 500 enterprises like ServiceNow. Our ambition is to power the top-line of the economy.\nWe are guided by a core principle: no assholes, high mutual respect. We operate at high intensity, but with deep respect. Direct, honest, and no egos - just a shared obsession to win.\nWe’ve raised $10M+ from world-class investors and strategics including TQ Ventures and HubSpot Ventures. We are a fully in-office company based in New York City.\nWe will only hire A-players and are highly willing to go above-market in ownership, equity, and cash compensation. We want world-class builders who are excited by the opportunity to be part of a category-defining company at the earliest stage. It won’t be easy. We’re going to move fast. But, it’ll be fun.\nThe Role\nYou own a customer from initial data access through a working, trusted system: understanding their business objectives, constructing the context layer our agents run on, building and deploying the workflows, enhancing the agent harness as you learn what breaks, and then proving the whole thing delivers customer outcomes.\nThe hardest part up front is the data. Every warehouse is a mess in its own way: tables nobody documented, three competing definitions of ARR, and a data team with an hour a week to give you. Until that resolves into something clean and usable, nothing built on top is trustworthy.\nWhat You’ll Do\nUnderstand what the customer’s business objectives. Sit with the customer's revenue and ops leaders, get to the goals behind the request, and decide what is worth building against.\n\nOnboard new customers end to end. Scope data access, explore the warehouse with no documentation, and map a chaotic schema onto real business concepts.\n\nStand up the ontology and verify the mapping. Interview the customer's data team and business owners, resolve their own inconsistent definitions, and validate the mapping before anything gets built on top of it.\n\nBuild the signals and workflows on top of it. The predictions and actions the customer actually sees, and the agent harness behind them. When a step produces bad output for one customer, you diagnose it and improve it.\n\nOwn the value case. Agree the success measure with the customer up front, then build the case that we delivered against it: the analysis, the evidence, the technical substance behind a story we can point to. You’re honest when the number didn't move, and specific about why.\n\nMake the next deployment faster. Validation frameworks, eval harnesses, reusable mapping tools - what you learn at one customer ships as tooling rather than tribal knowledge.\n\nWhat You’ll Bring\nYou work at the frontier of agent-driven development. You've built your own setup rather than living on the defaults, and you keep finding ways to get more out of agents than they give most people.\n\n3+ years in a technical, customer-facing role (forward deployed, solutions, or software engineering with heavy customer exposure); former founders strongly encouraged\n\nDeep data warehouse fluency. SQL, dbt, and real comfort in an undocumented five-year-old schema with nobody left to ask.\n\nYou can sit with a customer's data or ops team, extract what a business concept actually means to them, resolve the cases where their own people disagree, and encode it.\n\nApplied data science literacy. Distributions, seasonality, validation design, calibration. You know when a result is noise.\n\nPainstaking through to the artifact. You'll chase a broken join for three hours because a number looked slightly off, and you'll care as much about whether the customer can actually interpret the output. Correct data in an unreadable form isn't delivered.\n\nYou define success metrics rather than report on them, and you can build the case that the work delivered. You can also tell a customer their number didn't move and why.\n\nYou hold a technical position under pushback from a customer or from us, and change your mind for evidence rather than authority.\n\nHigh tolerance for ambiguity and unglamorous work. Based in NYC, excited to be in-office.\n\nEqual Opportunity\nSylvan is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. 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