{"id":3547853,"url":"https://alion.io/job/true-talent-solutions-partners-founding-forward-deployed-engineer-17","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":null,"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":"2026-10-30T20:50:07Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T20:24:06Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin an early-stage B2B SaaS team building AI-powered tools for revenue workflows. You will lead technical deployments for enterprise customers, turning complex data environments and business knowledge into reliable data models and production agent workflows.\nWhat You'll Do\nLead customer onboarding, scope data access, explore warehouse schemas, and map data to business concepts such as churn, expansion, and recurring revenue.\n\nBuild and validate semantic models by interviewing stakeholders, resolving differing definitions, and encoding agreed metrics in verified SQL.\n\nDeploy platform workflows and agent pipelines in customer environments, then monitor their performance and business outcomes.\n\nManage multiple customer engagements, balancing direct collaboration with customer teams and focused data engineering 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 deployed engineering, data science, or customer-facing software engineering.\n\nExperience owning end-to-end customer deployments and independently shipping and troubleshooting production data systems or pipelines.\n\nStrong SQL and data warehouse skills, including the ability to navigate undocumented or legacy schemas and validate results.\n\nProficiency with relevant tools and concepts such as dbt, Python, LLMs, AI agents, signal engineering, and evaluation frameworks.\n\nA quantitative STEM background, with experience or education in data science, machine learning, statistics, mathematics, or applied mathematics.\n\nCustomer-facing experience, sound technical judgment, and comfort with detailed, repetitive data verification work in a startup, consulting, or similarly hands-on environment.\n\nCompensation & Benefits\nBase salary: $180,000 to $250,000 annually. 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