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Principal Engineer - Forward Deployment Engineering

Confirmed live in the last 24 hours

Toast

Toast

Remote, USA
Hybrid
Posted March 30, 2026

Job Description

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Toast is looking for a hands-on Forward Deployment Engineer to join the AI & Strategy Engineering team. In this role, you will be the primary architect of 0-to-1 solutions designed to revolutionize our GTM engine. This is not a 'maintenance' role; you will work on the front lines with our Sales, Marketing, and CS leaders to bridge the gap between frontier AI capabilities and high-impact, revenue-driving applications. You will be responsible for deconstructing complex business friction and rapidly engineering the intelligent systems that solve it.

Collaborating closely with a Senior Technical Leader, you will architect and ship production-grade AI systems—including autonomous agents and intelligent workflows—that transform fragmented, manual GTM processes into scalable, high-conversion engines

 

A day in the life (Responsibilities) 

  • Hands-on Execution: Design and Ship production grade agentic solutions tailored specifically for high-velocity GTM motions
  • Rapid Prototyping: Transition from ambiguous business problems to functional AI Proof-of-Concepts (PoCs) within 1–2 week sprint cycles
  • Process Discovery: Embed directly with Sales, Service, and Marketing leaders to deconstruct high-friction manual workflows ripe for AI-driven transformation
  • Strategic Integration: Architect the flow between LLMs and the GTM stack (Salesforce, Clay, Snowflake) with a "Golden Record" mindset to ensure data integrity at scale
  • ROI Modeling: Translate technical metrics into business outcome driven metrics
  • Architectural Resilience: Act as the domain expert for complex synchronization challenges, ensuring GTM systems are built for concurrency, scale, and reliability

Engineering Outcomes

  • Accelerated Time to Value: Compress the window from "Contract Signed" to "Production AI" from months to weeks
  • Technical De-Risking: Implement robust AI output guardrails using Eval Frameworks and "Human-in-the-Loop" (HITL) processes to meet company and compliance standards.
  • Observability & Quality: Guarantee the reliability of the revenue engine by shipping every service with deep monitoring and automated alerting

 

What you'll need to thrive (Requirements)

  • GTM Systems Mastery: Expert in CRM APIs (Salesforce) and modern data tools (Clay, Nooks, etc.). You architect event-driven triggers, not just connect apps.
  • Technical Complexity: Proven track record of building within complex enterprise software, such as custom quoting engines (CPQ) or deep CRM internals (Apex, LWC).
  • Systems Architecture: Design event-driven, asynchronous architectures maintaining data integrity across fragmented systems.
  • Education: Bachelor’s or Master’s degree in Computer Science, or a related technical field.

 

What will help you stand out (Nonessential Skills/Nice to Haves)

  • Revenue Engineering Pedigree: Experience building SalesTech or FinTech products with measurable impact on ARR or conversion.
  • AI Operationalization: Possessing AI knowledge, you collaborate with Data Engineering to productionize models within GTM workflows
  • Automation First Mindset:You dislike manual data entry and are passionate about designing Agentic systems that eliminate "human-in-the-loop" friction.

 

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn.

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