Base Salary
$203k - $274k/yr
Responsibilities
- Build working proof-of-value solutions against prospect data and systems, including real integrations and production-like output.
- Partner with Account Executives and customer finance and IT teams on discovery, technical evaluations, architecture and security reviews, RFPs, and ROI narratives.
- Architect and deploy customer-specific configurations of AI Agents for complex accounting workflows.
- 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, and document and escalate issues to Engineering.
- Lead customer transformation engagements, implementations, training, workflow redesign, adoption, renewals, and expansions.
- Travel to customer sites as needed for technical evaluation, deployment, training, and adoption workshops.
- Surface customer feedback and integration requirements to Product and Core Engineering and create implementation guides, expansion frameworks, and reusable deployment assets.
Requirements
- 5 to 10+ years of experience in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or comparable hands-on customer-embedded engineering roles.
- Deep experience with agentic AI workflows, 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 solutions under sales-cycle pressure and operate them reliably in production.
- Ability to translate ambiguity into executable requirements and communicate with engineers, executives, customers, and internal IT teams.
- Strong commercial awareness, stakeholder management, and ability to work under delivery and revenue pressure.
- Preferred experience in high-growth SaaS, applied AI, fintech, ERP, accounting-adjacent domains, or one of the listed industry verticals.
- Preferred prior experience embedded at a customer site for a multi-month deployment; veterans, former management consultants, competitive programmers, and PhDs are also welcomed.
Benefits
- Competitive compensation package with pay-for-performance rewards, potentially including a cash bonus, equity rewards, and benefits.
- Expected base pay is $202,500–$274,000 annually for Mountain View.
- Travel to customer sites may be required up to 30–40% of the time.
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.