[Remote] Senior Forward Deployed Engineer — Finance AI Enablement

Note: The job is a remote job and is open to candidates in USA. Omada Health is focused on embedding AI directly into business functions, and they are seeking a Senior Forward Deployed Engineer to support their Finance organization. This role involves designing and building AI-powered systems to enhance financial workflows and decision-making processes, while ensuring compliance and operational efficiency.ResponsibilitiesDesign and build the Finance-specific AI integration layer that connects AI systems to enterprise finance platforms, operational data, and institutional knowledge sourcesIntegrating AI systems with platforms such as NetSuite, Adaptive Planning, FloQast, AWS, and internal data warehousesBuilding retrieval and knowledge systems over financial documentation, board materials, KPI definitions, investor communications, and forecasting modelsDeveloping reusable AI workflow and orchestration patterns for Finance use casesEnabling conversational and natural-language interaction with operational and financial dataPartnering with central Engineering and AI platform teams to adopt and extend shared AI infrastructure patternsBuild AI-enabled quality assurance and validation systems that improve confidence, consistency, and operational rigor across Finance workflowsMetric reconciliation across reporting materials and presentationsNarrative and KPI consistency validationFinancial calculation verificationReporting integrity and formatting validationAI-assisted review workflows with human-in-the-loop oversightEvaluation and auditability patterns supporting SOX-aligned processes where applicableDevelop AI systems that continuously analyze operational and financial processes to surface insights, anomalies, optimization opportunities, and business risksCost and spend monitoringVendor and procurement analysisContract and compliance monitoringPricing and operational trend analysisCloud and AI platform cost optimizationAutomated summarization, alerting, and root-cause analysisBuild AI-powered intelligence capabilities that help Finance leadership monitor external market activity and prepare executive-level materials more efficientlyMonitoring competitor activity, earnings calls, filings, and analyst commentarySupporting benchmarking and market intelligence workflowsAssisting with earnings preparation, executive Q&A, and board preparation workflowsCross-referencing and validating data across financial narratives, trend reporting, and investor-facing materialsDevelop AI-enabled workflows that accelerate operational execution and reduce manual effort across recurring Finance processesMonthly and quarterly reporting commentaryFlash reports and KPI summariesForecast and enrollment analysisRevenue and operational model validationExecutive memo and board material drafting supportEnable Finance teams to effectively evaluate, use, and extend AI systems over timeBuilding evaluation frameworks, regression testing, and quality scorecardsEstablishing operational review and feedback loopsTraining Finance SMEs on AI evaluation and workflow managementPromoting transparency around AI capabilities, limitations, and reliabilityHelping Finance teams grow long-term AI fluency and operational ownershipThis role operates with two closely connected partnership models by designFrom a business perspective, you will be deeply embedded within the Finance organization and aligned to Finance priorities, workflows, operational rhythms, and strategic initiativesFrom a technical perspective, you will remain part of Omada’s AI Transformation & Enablement engineering organization, where you will collaborate with other Forward Deployed Engineers, participate in shared architectural standards, receive technical mentorship and code review, and contribute reusable patterns that scale across other functionsSkills5+ years of experience building and deploying software, data, automation, or AI-powered applications2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environmentsStrong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systemsStrong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflowsExperience integrating enterprise systems and operational data into AI-enabled workflowsExperience working with enterprise business systems such as ERP, planning, financial, or operational platformsExperience designing retrieval or contextual knowledge systems across large document and metric corporaFamiliarity with structured and unstructured enterprise data environmentsUnderstanding of operational monitoring, evaluation, and observability concepts for AI systemsExcellent communication and stakeholder management skillsProven ability to partner directly with non-technical teams and translate business workflows into scalable technical solutionsExperience enabling business users through training, documentation, and operational coachingComfortable operating within highly cross-functional and rapidly evolving environmentsThrives in ambiguity and 0→1 environmentsStrong ownership mentality with the ability to independently drive initiatives forwardComfortable balancing embedded business partnership with centralized engineering alignmentDemonstrates strong prioritization and judgment across competing initiativesAwareness of governance, security, and compliance considerations related to enterprise AI adoptionFamiliarity working within regulated or compliance-sensitive environments involving financial, operational, or healthcare-related dataComfortable incorporating human review, evaluation, and auditability into AI workflowsExperience applying AI to Finance, Accounting, FP&A, Procurement, Revenue Operations, or operational business workflowsExperience working with platforms such as NetSuite, Adaptive Planning, FloQast, Workday, or enterprise data warehouse environmentsExperience with AI orchestration frameworks such as LangChain, LangSmith, or similar toolingExperience with AWS services, including Bedrock and modern cloud-native architecturesExperience extracting structured insights from unstructured enterprise documents using AI techniquesPrior experience operating as an embedded, Forward Deployed, Solutions, or customer-facing engineerStrong perspective on responsible enterprise AI adoption and organizational AI enablementBenefitsCompetitive salary with generous annual cash bonusEquity grantsRemote first work from home cultureFlexible Time Off to help you rest, recharge, and connect with loved onesGenerous parental leaveHealth, dental, and vision insurance (and above market employer contributions)401k retirement savings planLifestyle Spending Account (LSA)Mental Health Support SolutionsCompany OverviewOmada Health is a digital behavioral medicine company that helps members change their mindsets to improve health and build lasting change. It was founded in 2011, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is http://omadahealth.com.Company H1B SponsorshipOmada Health has a track record of offering H1B sponsorships, with 2 in 2026, 4 in 2025, 3 in 2024, 3 in 2023, 7 in 2022, 6 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.