обновлено 13 дней назад
Forward Deployed Engineer (AI)
171 000 - 231 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Building and deploying customer-specific AI Agent configurations that automate complex accounting workflows, from proof-of-value integrations to production systems, with an accent on agentic AI, enterprise integrations, and applied finance technology. Focus on architecting customer solutions, troubleshooting Python and SQL integrations, leading technical evaluations, and driving adoption with enterprise finance teams.
Location: Mountain View, California, United States; travel to customer sites as needed, up to 70%.
Base pay: $171,000–$231,500 annually, with potential cash bonus, equity rewards, and benefits.
Company
is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Build working proof-of-value solutions using prospects’ data and systems, including integrations and production-like outputs.
- Partner with Sales and Account Management on discovery, technical evaluations, architecture, security and compliance reviews, RFPs, and ROI cases.
- Architect and deploy customer-specific AI Agents that automate complex accounting processes and improve financial operations.
- Troubleshoot customer systems by reviewing Python, writing SQL, and diagnosing integrations, data flows, validations, and API-driven workflows.
- Lead technical implementations, training, workflow redesign, adoption, renewals, and expansion engagements with CFOs, Controllers, and accounting leaders.
- Share customer feedback with Product and Core Engineering and create reusable implementation guides and deployment assets.
Requirements
- 3–5 years of experience in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable 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 such as OpenAI, Gemini, Anthropic, GitHub Copilot, Gemini Code Assist, and prompt engineering.
- Strong experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations, plus the ability to troubleshoot technical issues with customers and IT teams.
- Ability to manage multiple deployments, translate ambiguous requirements into executable plans, and communicate with engineers, product managers, executives, and finance leaders.
- Willingness to travel to customer sites up to 70% for evaluations, deployments, training, and adoption workshops.
Nice to have
- Experience in high-growth SaaS, applied AI, fintech, ERP, or accounting-related domains.
- Depth in construction, nonprofit, manufacturing, wealth management, health care, franchise, or field services finance operations.
- Previous customer-site experience with multi-month implementations, field engineering, or forward-deployed engagements.
- Background as a veteran, management consultant, competitive programmer, or PhD.
Culture & Benefits
- Reports into Engineering while partnering closely with Sales, Account Management, Customer Success, Product, and Core Engineering.
- Work spans both pre-sale proof-of-value development and post-sale production deployment.
- Compensation may include performance-based cash bonuses, equity rewards, and employee benefits.
- Customer feedback directly informs product improvements and reusable deployment practices.
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