[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.

Responsibilities

• Design and build the Finance-specific AI integration layer that connects AI systems to enterprise finance platforms, operational data, and institutional knowledge sources
• Integrating AI systems with platforms such as NetSuite, Adaptive Planning, FloQast, AWS, and internal data warehouses
• Building retrieval and knowledge systems over financial documentation, board materials, KPI definitions, investor communications, and forecasting models
• Developing reusable AI workflow and orchestration patterns for Finance use cases
• Enabling conversational and natural-language interaction with operational and financial data
• Partnering with central Engineering and AI platform teams to adopt and extend shared AI infrastructure patterns
• Build AI-enabled quality assurance and validation systems that improve confidence, consistency, and operational rigor across Finance workflows
• Metric reconciliation across reporting materials and presentations
• Narrative and KPI consistency validation
• Financial calculation verification
• Reporting integrity and formatting validation
• AI-assisted review workflows with human-in-the-loop oversight
• Evaluation and auditability patterns supporting SOX-aligned processes where applicable
• Develop AI systems that continuously analyze operational and financial processes to surface insights, anomalies, optimization opportunities, and business risks
• Cost and spend monitoring
• Vendor and procurement analysis
• Contract and compliance monitoring
• Pricing and operational trend analysis
• Cloud and AI platform cost optimization
• Automated summarization, alerting, and root-cause analysis
• Build AI-powered intelligence capabilities that help Finance leadership monitor external market activity and prepare executive-level materials more efficiently
• Monitoring competitor activity, earnings calls, filings, and analyst commentary
• Supporting benchmarking and market intelligence workflows
• Assisting with earnings preparation, executive Q&A, and board preparation workflows
• Cross-referencing and validating data across financial narratives, trend reporting, and investor-facing materials
• Develop AI-enabled workflows that accelerate operational execution and reduce manual effort across recurring Finance processes
• Monthly and quarterly reporting commentary
• Flash reports and KPI summaries
• Forecast and enrollment analysis
• Revenue and operational model validation
• Executive memo and board material drafting support
• Enable Finance teams to effectively evaluate, use, and extend AI systems over time
• Building evaluation frameworks, regression testing, and quality scorecards
• Establishing operational review and feedback loops
• Training Finance SMEs on AI evaluation and workflow management
• Promoting transparency around AI capabilities, limitations, and reliability
• Helping Finance teams grow long-term AI fluency and operational ownership
• This role operates with two closely connected partnership models by design
• From a business perspective, you will be deeply embedded within the Finance organization and aligned to Finance priorities, workflows, operational rhythms, and strategic initiatives
• From 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 functions

Skills

• 5+ years of experience building and deploying software, data, automation, or AI-powered applications
• 2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environments
• Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems
• Strong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows
• Experience integrating enterprise systems and operational data into AI-enabled workflows
• Experience working with enterprise business systems such as ERP, planning, financial, or operational platforms
• Experience designing retrieval or contextual knowledge systems across large document and metric corpora
• Familiarity with structured and unstructured enterprise data environments
• Understanding of operational monitoring, evaluation, and observability concepts for AI systems
• Excellent communication and stakeholder management skills
• Proven ability to partner directly with non-technical teams and translate business workflows into scalable technical solutions
• Experience enabling business users through training, documentation, and operational coaching
• Comfortable operating within highly cross-functional and rapidly evolving environments
• Thrives in ambiguity and 0→1 environments
• Strong ownership mentality with the ability to independently drive initiatives forward
• Comfortable balancing embedded business partnership with centralized engineering alignment
• Demonstrates strong prioritization and judgment across competing initiatives
• Awareness of governance, security, and compliance considerations related to enterprise AI adoption
• Familiarity working within regulated or compliance-sensitive environments involving financial, operational, or healthcare-related data
• Comfortable incorporating human review, evaluation, and auditability into AI workflows
• Experience applying AI to Finance, Accounting, FP&A, Procurement, Revenue Operations, or operational business workflows
• Experience working with platforms such as NetSuite, Adaptive Planning, FloQast, Workday, or enterprise data warehouse environments
• Experience with AI orchestration frameworks such as LangChain, LangSmith, or similar tooling
• Experience with AWS services, including Bedrock and modern cloud-native architectures
• Experience extracting structured insights from unstructured enterprise documents using AI techniques
• Prior experience operating as an embedded, Forward Deployed, Solutions, or customer-facing engineer
• Strong perspective on responsible enterprise AI adoption and organizational AI enablement

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions

Company Overview

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