Senior GTM Engineer, AI Innovation

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$90K-$160K not verified - source not recorded; timestamp not recorded

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior GTM Engineer, AI Innovation Remote 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. The Marketing Operations team is looking for a Senior, GTM Engineering & AI Innovation to set the strategy - and ship the systems - that transform how Toast's go-to-market teams operate. You'll own the multi-quarter roadmap for AI in GTM, lead cross-functional initiatives across Marketing, Sales, Customer Success, and Engineering, and remain hands-on as a builder: designing reusable infrastructure, deploying production agents, and translating AI capability into measurable revenue impact. This is a player-coach role for a senior builder who is equally comfortable defending a portfolio investment thesis to executives and shipping a Clay workflow before lunch. This role is open to remote candidates. About this roll* (Responsibilities) - Own the AI-in-GTM strategy and roadmap. Define and maintain a multi-quarter portfolio of AI initiatives across Marketing, Sales, and Customer Success - prioritized against revenue-direct, revenue-adjacent, and strategic/foundational tiers. - Lead build-vs-buy at the portfolio level. Drive evaluation, business case, and final recommendation for major AI investments. Defend the call to executive stakeholders even when the conclusion is politically inconvenient. - Design and manage governance. Define governance for AI solutions across GTM at scale - what makes it to production, how is it maintained and monitored - Architect and ship reusable GTM infrastructure. Partner with engineering (BTT and platform teams) to design connectors, MCP servers, and data pipelines that

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