Forward Deployed Engineer (AI)

Location: Mountain View, California, United States; field role with travel to customer sites as needed, up to 30–40%.

Base pay: $202,500–$274,000 annually in Mountain View. The package may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Build working proof-of-value solutions using prospects’ data and systems, including real integrations and production-like outputs.
• Run discovery with finance and IT teams, lead architecture, security, compliance, integration, and technical RFP evaluations, and present technical and ROI narratives to CFOs and Controllers.
• Architect and deploy customer-specific AI Agent configurations that automate complex accounting processes, strengthen internal controls, accelerate book closing, and reduce manual work.
• Review and edit Python, write SQL, troubleshoot integrations, data flows, configuration issues, validations, and API-driven workflows while maintaining SLAs and documenting escalations.
• Lead transformation engagements, implementations, training, workflow redesign, change management, adoption, renewals, and expansion with enterprise finance teams.
• Share customer feedback and integration requirements with Product and Core Engineering, and create implementation guides, expansion frameworks, and reusable deployment assets.

Requirements

• 5–10+ years of experience in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable hands-on customer-embedded engineering role.
• Deep experience with agentic AI, including LangChain, LangGraph, MCP servers, multi-agent systems, RAG, vector stores, and hybrid retrieval.
• Experience with LLMs and tooling including OpenAI, Gemini, Anthropic, GitHub Copilot, Gemini Code Assist, and prompt engineering.
• Deep experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations.
• Strong technical fluency and the ability to collaborate as a peer with Product Managers and Engineers.
• Experience managing multiple technical deployments simultaneously under delivery pressure and leading technical troubleshooting calls with customers and internal IT teams.
• Ability to build proof-of-value systems under sales-cycle time pressure and operate them reliably in production after signature.
• Use of AI, automation, and modern tooling to work faster, document effectively, and scale impact.
• Ability to turn ambiguity into executable requirements, communicate clearly with engineers and executives, and manage stakeholders under delivery and revenue pressure.

Nice to have

• Background in high-growth SaaS, applied AI, or fintech, ERP, or accounting-related domains.
• Experience in construction, nonprofit, manufacturing, wealth management, health care, franchise, or field-services verticals.
• Experience embedded at a customer site during a multi-month deployment, including implementation consulting, forward-deployed, or field engineering work.
• Experience as a veteran, management consultant, competitive programmer, or PhD.

Culture & Benefits

• Engineering-based role partnering closely with Sales, Account Management, Customer Success, Product, and Core Engineering.
• Competitive compensation with a pay-for-performance approach.
• Potential cash bonus, equity rewards, and employee benefits according to applicable plans and programs.
• Regular compensation comparisons across ethnicity and gender categories to support fair pay.