
Staff Software Engineer (GTM & AI Strategy)
Toast
Job description
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Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team
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In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate
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This isn’t about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack
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As a technical lead, you will be responsible for building and productionizing agentic workflows and RAG pipelines to automate sales processes
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You will integrate AI services into the tech stack while maintaining rigorous standards for observability and performance monitoring
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0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic
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Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience
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Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient
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Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code
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Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy
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Deliver Quality: Ensure the reliability of GTM tools by building deep observability into every service you ship
Benefits
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Peer and company recognition programs
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Unlimited Vacation
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Sabbatical opportunity after five years
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Professional Development Reimbursement Program
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Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
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Various peer and company recognition programs
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401(k) and matching
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Medical, Dental, & Vision Coverage
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Mental Health Benefits
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Subsidized backup childcare- Systems Architecture: Ability to implement event-driven architectures and manage data flow across disparate systems with high integrity
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Education: Bachelor’s or Master’s degree in Computer Science, or a related technical Field
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Applied AI/ML Skills: Practical, hands-on experience building LLM agents in a production environment
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Deep Backend Expertise: Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems
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Experience building internal “Sales Tech” or “Fintech” tools that directly impact revenue
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Familiarity with AWS data services (SageMaker, Lambda, SQS)
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A passion for removing “human-in-the-loop” friction through intelligent automation