{"id":4157789,"url":"https://alion.io/job/true-talent-solutions-partners-founding-forward-deployed-engineer-38","title":"Founding Forward Deployed Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"junior","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":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T09:17:47Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T11:15:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin an early-stage B2B SaaS team building AI-powered tools for revenue operations. As a founding deployment hire, you will connect customer data environments to production agent workflows and help turn complex business definitions into reliable, measurable outcomes.\nWhat You'll Do\nLead customer onboarding from data-access scoping through warehouse exploration and mapping schemas to business concepts such as churn, expansion, and recurring revenue.\n\nInterview customer stakeholders, resolve competing definitions, and build a verified semantic layer with validated SQL queries.\n\nDeploy platform workflows and agent pipelines into customer environments, then monitor their performance and business impact.\n\nManage multiple customer engagements, partnering with data and engineering teams while completing hands-on data work.\n\nUse internal agent tools and share feedback on evaluation guardrails, validation frameworks, and agent infrastructure.\n\nWhat We're Looking For\nTwo to five years of experience in forward deployment, data science, analytics engineering, or customer-facing software engineering.\n\nExperience owning end-to-end technical customer deployments and independently shipping production code, pipelines, or systems.\n\nStrong SQL and data warehouse skills, including the ability to investigate undocumented schemas and validate results.\n\nWorking knowledge of Python, dbt, data warehousing, LLMs, AI agents, signal engineering, and evaluation frameworks.\n\nPrior data science or machine learning experience, or academic grounding in statistics, mathematics, or a related quantitative field.\n\nA relevant degree and strong computer science, data, or quantitative fundamentals.\n\nCustomer-facing experience, sound technical judgment, and comfort with detailed, repetitive data verification work.\n\nExperience in a startup, consulting, or similarly hands-on environment is valuable.\n\nCompensation & Benefits\nBase salary is $180,000 to $250,000 annually. 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