обновлено 1 день 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 processes, from proof-of-value integrations to production workflows, with an accent on enterprise integrations, applied AI, and financial operations. Focus on architecting agentic workflows, troubleshooting Python and SQL-based integrations, and translating customer requirements into reliable production automation.
Location: Mountain View, California, United States. Travel to customer sites as needed, up to 70%.
Base pay: $171,000–$231,500 per year, with potential bonus, equity rewards, and benefits.
Company
is a financial technology platform serving approximately 100 million customers through 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.
- Lead technical discovery, architecture, security and compliance reviews, integration assessments, and technical RFP responses with finance and IT stakeholders.
- Architect and deploy customer-specific AI Agent configurations that automate complex accounting processes and improve internal controls.
- Review and edit Python, write SQL, troubleshoot integrations and data flows, and optimize API-driven workflows and validations.
- Lead implementations, training, workflow redesign, adoption workshops, renewals, and expansion engagements with CFOs, Controllers, and accounting leaders.
- Feed customer insights to Product Management and Core Engineering while creating implementation guides, expansion frameworks, and reusable deployment assets.
Requirements
- 5+ years in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable hands-on customer-embedded engineering role.
- Deep experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations.
- Hands-on experience using, configuring, or building agentic AI workflows and tools.
- Experience managing multiple technical deployments under delivery pressure and troubleshooting issues with customers and internal IT teams.
- Ability to translate ambiguity into executable requirements and communicate effectively with engineers, Product Managers, executives, CFOs, and Controllers.
- Ability to travel to customer sites as needed, up to 70%, for technical evaluations, deployments, training, and adoption workshops.
Nice to have
- Background in high-growth SaaS, applied AI, fintech, ERP, or accounting-related domains.
- Experience in construction, nonprofit, manufacturing, wealth management, health care, franchise, or field services finance operations.
- Prior multi-month customer-site deployment, implementation consulting, forward-deployed, or field engineering experience.
- Experience as a veteran, management consultant, competitive programmer, or PhD.
Culture & Benefits
- Engineering-based role with close collaboration across Sales, Account Management, Customer Success, Product Management, and Core Engineering.
- Opportunity to work directly with enterprise finance teams on production AI automation and measurable business outcomes.
- Competitive compensation with performance-based rewards, potential cash bonus, equity rewards, and benefits.
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