Base Salary
$171k - $232k/yr
Responsibilities
- Build working proofs-of-value using prospects’ data and systems during technical sales evaluations.
- Partner with Account Executives and customer finance and IT teams on discovery, architecture, security and compliance reviews, integration feasibility, RFP responses, technical narratives, and ROI cases.
- Architect and deploy customer-specific configurations of AI Agents for complex accounting processes in production environments.
- Review and edit Python, write SQL, troubleshoot integrations and data flows, and optimize SQL validations and API-driven workflows.
- Serve as the technical escalation point, maintain response and resolution SLAs, document issues, and coordinate escalations to Engineering.
- Lead enterprise transformation engagements, implementations, training, workflow redesign, adoption, renewals, and expansion conversations.
- Surface customer feedback and integration requirements to Product Management and Core Engineering and create reusable implementation guides and deployment assets.
- Travel to customer sites as needed for pre-sale evaluation, deployment, training, and adoption workshops.
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 with Product Managers and Engineers as a technical peer and manage multiple deployments under delivery pressure.
- Ability to lead customer troubleshooting calls, translate ambiguity into executable requirements, and communicate with engineers and executives.
- Strong commercial awareness, stakeholder management, and ability to operate across technical sales, production delivery, renewals, and expansion.
- Preferred qualifications include experience in high-growth SaaS, applied AI, fintech, ERP, accounting, or a relevant industry vertical; prior multi-month customer-site deployment experience is also preferred.
- Non-traditional backgrounds including veterans, former management consultants, competitive programmers, and PhDs are welcomed.
Benefits
- Competitive compensation package with pay-for-performance rewards, potentially including cash bonus, equity rewards, and benefits.
- Mountain View base pay range of $171,000–$231,500.
- Travel to customer sites as needed, up to 30–40%.
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.