{"id":4054577,"url":"https://alion.io/job/true-talent-solutions-partners-founding-forward-deployed-engineer-36","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":"2026-11-11T01:16:26Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T03:59:37Z","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 company building AI-powered revenue workflows for enterprise customers. As a founding member of the deployment team, you will turn complex customer data into validated models and production-ready agent workflows that support measurable business outcomes.\nWhat You'll Do\nLead customer onboarding end to end, from scoping data access to exploring warehouse schemas and mapping data to business concepts such as churn, expansion, and recurring revenue.\n\nBuild and validate semantic models by interviewing stakeholders, reconciling differing definitions, and encoding agreed-upon logic in verified SQL queries.\n\nDeploy customer-specific workflows and agent pipelines, then monitor their performance and business outcomes.\n\nManage several customer engagements at once, collaborating with customer data and engineering teams while completing hands-on data work.\n\nUse internal agent tools and share feedback to improve 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 technical customer deployments end to end and independently shipping production data pipelines or software systems.\n\nStrong SQL and data warehouse skills, including the ability to navigate undocumented or legacy schemas and independently validate results.\n\nProficiency with SQL, dbt, Python, data warehousing, LLMs, AI agents, signal engineering, or evaluation frameworks.\n\nPrior data science or machine learning experience, or academic grounding in statistics, mathematics, applied mathematics, computer science, data science, or another quantitative STEM field.\n\nCustomer-facing experience, sound technical judgment, and the ability to work carefully through detailed, repetitive data verification.\n\nExperience in a startup, consulting, or similarly hands-on environment is valuable.\n\nCompensation & Benefits\nBase salary: $180,000 to $250,000 annually. 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