Base Salary
$203k - $274k/yr
Responsibilities
- Build working proof-of-value implementations using prospects’ data and systems during technical sales evaluations.
- Partner with Account Executives and customer IT and finance teams on discovery, architecture, security and compliance reviews, integration feasibility, RFPs, and ROI cases.
- Architect and deploy customer-specific AI Agent configurations that automate complex accounting processes in production.
- Review and edit Python, write SQL, and troubleshoot integrations, data flows, configuration issues, validations, and API-driven workflows.
- Serve as the technical escalation point, maintain response and resolution SLAs, document issues, and escalate complete context to Engineering.
- Lead customer transformation engagements, implementation workshops, training, workflow redesign, adoption, renewals, and expansion conversations.
- Surface customer feedback and integration requirements to Product and Core Engineering and create reusable implementation guides and deployment playbooks.
Requirements
- 5 to 10+ years 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.
- Ability to collaborate as a technical peer with Product Managers and Engineers, manage multiple deployments, and lead customer troubleshooting calls.
- Ability to build proof-of-value systems under sales-cycle pressure and operate them reliably in production.
- Ability to translate ambiguity into executable requirements and communicate with engineers, executives, CFOs, Controllers, and accounting leaders.
- Strong commercial awareness, stakeholder management, and ability to operate under delivery and revenue pressure.
- Preferred qualifications include high-growth SaaS, applied AI, fintech, ERP, accounting, or relevant industry-domain experience; prior multi-month customer-site deployments; and backgrounds such as consulting, competitive programming, veteran service, or PhD research.
Benefits
- Competitive compensation package with pay-for-performance rewards, potential cash bonus, equity rewards, and benefits under applicable plans and programs.
- Travel to customer sites as needed, up to 30–40%, for technical evaluation, deployment, training, and adoption workshops.
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.