Base Salary
$171k - $232k/yr
Responsibilities
- Build working proof-of-value implementations using prospect data and systems during technical sales cycles.
- Partner with Account Executives and customer finance and IT teams on discovery, architecture, security and compliance reviews, integration feasibility, RFP responses, and ROI narratives.
- Architect and deploy customer-specific AI-agent configurations for complex accounting processes in production environments.
- Review and edit Python, write SQL integrations, and troubleshoot configuration issues, data flows, validations, and API-driven workflows.
- Serve as the technical escalation point and maintain service-level response and resolution commitments.
- Lead customer transformation engagements, implementations, training, workflow redesign, adoption, renewals, and expansion support.
- Surface customer feedback and integration requirements to Product and Core Engineering and create reusable implementation guides and deployment playbooks.
Requirements
- 5 to 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 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 under pressure, and lead customer troubleshooting calls.
- Ability to build credible proofs of value under sales-cycle deadlines and operate those systems reliably in production.
- Ability to translate ambiguity into executable requirements and communicate effectively with engineers and executives.
- Strong commercial awareness and stakeholder-management skills.
- Preferred experience in high-growth SaaS, applied AI, fintech, ERP, accounting, or one of the listed operational verticals.
- Prior multi-month customer-site deployment experience is preferred; non-traditional backgrounds such as veterans, consultants, competitive programmers, and PhDs are welcomed.
Benefits
- Competitive compensation package with performance-based rewards, potential cash bonus, equity rewards, and benefits.
- Customer-site travel of up to 30–40% as needed for evaluations, deployments, training, and adoption workshops.
- Expected base pay range in Mountain View is $171,000–$231,500 per year.
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.