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.
Retail is Toast's biggest bet and we are growing rapidly. The opportunity is massive, and the category is ours to define. You'll
have the backing of Toast's scale, brand, and resources but you'll be on the team architecting how we operate, scale, and win.
The decisions you make in this role will shape how Toast competes in retail for years to come. Toast is prioritizing AI
integration across the enterprise to redefine GTM velocity. As part of this strategy, multiple business units are pursuing
specialized AI initiatives tailored to market challenges. This model balances corporate-wide coordination with vertical
accountability: teams work in lockstep to scale efficiencies and aggregate impact, while remaining responsible for developing,
building, and launching solutions optimized for unique operating environments.
The GTM Sales Engineer & AI solutions is the core functional driver of this transformation within the Retail vertical. As an
expert in applied AI, you will own the centralized deployment of AI applications to directly improve Productivity Per Rep (PPR).
You will drive AI-powered productivity and automation across Retail sales, working with AEs and BDR/SDR teams to accelerate sales
and with Onboarding to streamline the path to Customer Go-Live, with the opportunity to grow your impact across other GTM and
client-facing teams as the vertical scales. You will be the operational linchpin running the Retail AI GTM Pod, architecting a
continuous feedback loop sourcing grassroots ideas from the frontline, filtering them through a business lens, and scaling them
into production tools.
This is a technical, builder-focused role. You will observe decentralized AI applications working across the organization and
partner to accelerate their impact, making them structurally better, integrating them into core systems, and maintaining them
long-term. While you will partner with central corporate operations and marketing to advocate for Retail use cases and scale
company-wide efficiencies, you will also possess the autonomous engineering capabilities to construct vertical-specific pipelines
when distinct merchant workflows require it. This role sits in Revenue Operations, but will also dotted-line report into
engineering.
A day in the life (Responsibilities)
AI GTM POD GOVERNANCE & SOLUTION SOURCING
* Leadership & Facilitation: Stand up the Retail AI GTM Pod to surface, qualify, and scale AI applications across the Retail
field. The model could be a working group of AI-forward reps, managers, and leaders organized around defined themes in Sales &
Onboarding, contributing domain expertise and frontline signals. The pod functions as an intake mechanism and sounding board,
surfacing field experiments, pressure-testing priorities, and keeping your roadmap grounded in what moves the business.
* Idea & Solution Sourcing: Serve as the production engine for ideas surfacing through the pod and field. Evaluate what is worth
scaling, determine the right build, buy, or borrow path, and take the strongest ideas from experiment to production
tool—launching with Enablement to non-technical end-users and maintaining active ownership through adoption tracking, feedback,
and iteration.
* Build vs. Buy Evaluation: Lead technical discovery to determine the most efficient path for problem statements, assessing
whether to build a custom agentic solution, stitch existing APIs, or coordinate with vendors to purchase a scalable product.
* Roadmap Prioritization: Translate decisions into a sprint-based roadmap, prioritizing developments based strictly on their
potential to drive vertical PPR and eliminate administrative friction.
APPLIED ENGINEERING & SYSTEMS INTEGRATION
* Agile Sprint Execution: Maintain and execute against a technical scrum board, operating on defined sprint cycles to
continuously ship, test, and iterate on AI-powered features.
* Industrializing Frontline Wins: Take successful, unscaled local experiments (e.g., territory expansion scoring, contact
discovery pipelines, multi-intent category parsers) and harden them with error handling, version control, scalable code, and
secure coding practices like input validation, secrets management, and mitigation of LLM risks (e.g., prompt injection).
* Systems Integration: Coordinate integration efforts to map vertical AI outputs into core GTM platforms (Salesforce, Snowflake,
Taskray), ensuring local applications enhance rather than disrupt foundational enterprise pipelines.
* Data Integrity Architecture: Build & monitor data validation frameworks ensuring model inputs are pristine and outputs are
entirely auditable and trusted by the field.
* Application Security: Design & enforce security controls for Retail AI applications, including authentication/authorization
frameworks, secrets management, access controls on model outputs, and mitigations for LLM risks (prompt injection, data
exfiltration). Ensure builds meet Toast's security standards given system proximity to payment and customer data workflows.
CROSS-FUNCTIONAL PARTNERSHIP & STRATEGIC RADAR
* Enterprise Collaboration: Contribute to cross-functional AI coordination cadences connecting Revenue Operations, Marketing AI,
and Business Technology teams across Toast. Align on company-wide AI investments, advocate for Retail use cases and merchant
requirements in shared roadmaps, and identify where central efforts can be leveraged, adapted, or extended. Serve as Retail's
active voice in sequencing these shared initiatives while staying coordinated.
* Vertical Personalization: Monitor central enterprise tool developments (e.g., prospecting or enablement agent suites) to
identify opportunities to clone, customize, or extend for Retail merchant types.
* Bidirectional Knowledge Exchange: Establish a pipeline for sharing locally developed code, architecture patterns, and prompt
structures with central teams, ensuring Retail's breakthroughs help elevate Toast's engineering ecosystem.
FLUENCY, ENABLEMENT & TRAINING LOOPS
* AI Fluency Leadership: Design and execute vertical-wide enablement tracks to build a baseline of confident, independent AI tool
usage across sales reps, onboarding consultants, and managers.
* Adoption Analytics: Build & monitor adoption tracking mechanisms for deployed AI solutions, ensuring training translates into
consistent field usage and measurable reductions in level of effort (LOE).
What you'll need to thrive (Requirements)
* Applied AI Deployment: 4+ years of experience in a technical, analytical, or GTM operations role, with a track record of owning
the full deployment lifecycle of applied AI applications, RAG pipelines, or agentic workflows, including post-launch
monitoring, alerting, rollback procedures, and model version management.
* Modern AI Toolchain Literacy: Advanced, hands-on proficiency with developer-focused AI tools, specifically the Gemini Suite,
Claude Cowork, and Claude Code.
* Modern Deployment Stack: Experience deploying and operating AI backend systems in production (API services, model inference
pipelines, orchestration layers), with demonstrated ownership through reliability, observability, and incident response.
* Application Security Awareness: Familiarity with security best practices for AI-native systems, including
authentication/authorization, secrets management, access controls on outputs, and awareness of LLM attack surfaces (prompt
injection, data exfiltration).
* Agile Operational Fluency: Experience operating within an agile engineering model, including managing technical product
backlogs, running sprint cycles, and maintaining scrum boards.
* Strategic Diplomacy: Exceptional communication skills with a proven ability to enter central enterprise forums, align
stakeholders, advocate for vertical needs, and collaborate across business units.
What will help you stand out (Nonessential Skills/Nice to Haves)
* Software engineering or computer science background with the ability to write functional code (Python, JavaScript, or
equivalent) and construct robust API integrations from scratch.
* Direct domain familiarity with B2B SaaS and Retail tech spanning grocery, convenience, or wholesale commerce environments.
* Experience building or scaling an AI program for non-technical end-users, including driving literacy, prompt engineering, or
tool enablement.
* Degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience as a technical
founder or builder.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build
for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from
Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The
people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and
brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a
healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits
at https://careers.toasttab.com/toast-benefits.
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and
geographic location. In addition to base salary, our total rewards components include cash compensation (overtime,
bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our
Geographic Pay Zone Philosophy.
Zone A
$172,000—$275,000 USD
Zone B
$150,000—$240,000 USD
Zone C
$135,000—$216,000 USD
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with
tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation.
All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong
culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations
page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse,
and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our
culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong
culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and
regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide
reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation
to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of
employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Sista ansökan: 16 aug.Publicerad: 9 juli
