Toast

Product Manager

• Own and drive the roadmap for your area of Toast Now, reimagining how restaurant managers engage with Toast on mobile.
• Work closely with engineers and designers to concept, prototype, ship, measure, and iterate on product features.
• Define and deliver outcomes in your product area—owning success metrics and driving product changes that create measurable improvements in customer value and product economics.
• Research and engage deeply with customers—whether through direct conversations, sales interactions, or support calls.
• Operate at both strategic and executional levels, translating vision into detailed product requirements and cross-functional execution plans.
• Champion customer needs internally by building strong relationships across teams, influencing decisions on related initiatives with data and insights.

Senior Product Manager

Marketing

• Hire, develop, coach and manage a team of Marketing Success Managers
• Lead and develop a high‑performing team of 10-12 Specialists: hire/onboard, set goals, run weekly 1:1s, conduct QA reviews, and create career development paths
• Handle escalations and quality: serve as the first line for customer escalations
• Develop and implement innovative ways to work smarter and scale the team

Manager, Managed Marketing

Risk

• Help lead the development of Toast's multi-year enterprise data strategy, grounded in corporate priorities and aligned with engineering, analytics, AI, and business roadmaps
• Assess current data management maturity using a recognized framework (DAMA DMBOK, DCAM, or equivalent) and establish a measurable baseline from which to track progress
• Collaborate with EDS and domain teams to build and maintain organizational buy-in across business and technology leadership
• Design and implement Toast's enterprise data governance framework, including roles, responsibilities, processes, tools, and escalation paths
• Establish and operationalize the Data Governance Council: recruit domain executive sponsors and data stewards, define meeting cadence, and manage decision-making and escalation processes
• Define and maintain the Data Domain Model, assigning clear ownership across all business domains including Finance, GTM, Operations, Product, and People
• Build and launch Toast's Business Glossary, ensuring critical business terms are defined, agreed upon, and maintained by accountable domain owners
• Develop, codify, and enforce enterprise data policies covering data quality, access and classification, retention and lifecycle, metadata standards, and acceptable use
• Define the minimum standards that all data products must meet before being published for enterprise consumption
• Partner with Legal, Risk, and Compliance teams to ensure data policies align with regulatory obligations including GDPR, CCPA, SOC 2, and PCI-DSS
• Establish a compliance monitoring and reporting framework to track policy adherence and surface risk areas to senior leadership
• Design and run periodic data governance assessments across business domains, identifying gaps and driving improvement plans
• Build enablement programs and training to elevate data literacy and governance awareness across the organization
• Lead change management for governance initiatives, ensuring new policies and practices are adopted sustainably across business and technology teams
• Lead, develop, and grow the governance team, including the Sr. Manager of Enterprise Data Governance
• Foster a culture of data accountability where stewardship is a shared responsibility across the organization
• Serve as a thought leader and internal center of excellence for data governance best practices at Toast

Director, Enterprise Data Governance

Consultant

• Leverage your Toast Payroll product knowledge and project management skills to partner with restaurant owners during the Go-Live phase
• The Onboarding Consultant is responsible for guiding customer through initial onboarding steps
• Create & lead an onboarding training plan for each customer
• Manage several onboarding projects simultaneously, with a large book of business (60+ restaurants) in your backlog
• Ensure the customer’s transition to Toast Payroll goes smoothly
• Assist and guide by providing post-live guidance, troubleshoot problems or follow-up training as needed by the customer
• Assist in translation of customer-facing resources English to Spanish as needed

Onboarding Consultant I, Multilingual Onboarding, Spanish

Data Analyst

• Develop scalable analyses across sales execution, pipeline health, account prioritization, market coverage, territory performance, sales productivity, and growth planning.
• Create decision support tools surfacing whitespace, high-priority accounts, coverage gaps, outreach penetration, funnel performance, and execution opportunities.
• Conduct TAM, segment, and coverage analyses guiding leadership investments and scaling.
• Build and maintain scalable enrichment workflows cleaning, classifying, and enhancing prospect and account data using LLMs.
• Develop territory and account prioritization models using sales performance, volume potential, market characteristics, business attributes, and field capacity.
• Own third-party market data strategy: vendor evaluation, procurement support, relationship management, and data quality oversight.
• Translate ambiguous business questions into structured approaches, insights, and recommendations for stakeholders.
• Design and execute advanced territory models that optimize sales coverage, ensure rep equity, and maximize market penetration across new retail segments and geographies.
• Lead the annual and mid-year territory carving processes, translating leadership’s high-level capacity targets into balanced, data-driven books of business.
• Develop territory visualization and mapping tools giving sales teams visibility into market coverage, prospect density, whitespace, and prioritization opportunities.
• Partner directly with sales leadership to evaluate territory health, diagnosing under-covered markets, capacity bottlenecks, and expansion opportunities.
• Conduct TAM, segmentation, and propensity-to-buy analyses to guide leadership on where to deploy the next dollar of sales investment.
• Migrate legacy territory planning workflows into scalable systems across Salesforce, Snowflake, and Sigma.
• Build SQL/Python automations to improve data quality, automate scoring models, and streamline account-to-territory routing.
• Manage territory data loads, mapping configurations, and rule exceptions in partnership with central business technology teams.
• Enrich and classify prospect data using LLMs and third-party data vendors to sharpen our account prioritization models.
• Serve as the Retail SME on market coverage, rules of engagement (ROE), and territory analytics.
• Build automated tools monitoring ROE exceptions, partnering with central governance to improve compliance workflows and automate conflict resolutions.
• Measure territory productivity, providing leadership with dashboards that track pipeline health, quota attainment by territory type, and outreach penetration.

Senior Analyst, Retail RevOps – GTM Analytics, Territory Design

Analytics Engineer

• Collaborate with domain teams to implement a hub & spoke data architecture
• Develop the core Analytics layer in our data warehouse that serves as the hub
• Build an AI-ready semantic layer that is extendable across business domains
• Partner with business stakeholders and our product team to understand their data analytics needs
• Work closely with the data engineering team to ensure scalability across the platform
• Provide technical mentorship and leadership to team members

Staff Analytics Engineer

Technical Program Manager

• Design, own, and continuously improve the monthly agent release program.
• Set and hold the platform-readiness bar.
• Drive go-to-market coherence across LOBs.
• Instrument launch health and build reporting that matters.
• Operate with high judgment in ambiguous situations.
• Establish the operating rhythms, governance structures, and cross-functional alignment mechanisms.

Principal Technical Program Manager

• Build and maintain reporting, dashboards, and analytics tools helping sales leaders and frontline teams understand performance, prioritize work, and identify growth opportunities.
• Develop scalable analyses across sales execution, pipeline health, account prioritization, market coverage, territory performance, sales productivity, and growth planning.
• Translate ambiguous business questions into structured approaches, insights, and recommendations for stakeholders.
• Create decision support tools surfacing whitespace, high-priority accounts, coverage gaps, outreach penetration, funnel performance, and execution opportunities.
• Conduct TAM, segment, and coverage analyses guiding leadership investments and scaling.
• Own Retail’s territory analytics and operating infrastructure: design, account coverage, reporting, and maintenance.
• Migrate manual workflows into scalable systems across Salesforce, Snowflake, and Sigma.
• Develop territory visualization and mapping tools giving sales teams visibility into market coverage, prospect density, whitespace, and prioritization opportunities.
• Partner with sales leadership to evaluate territory models, coverage, capacity, equity, and expansion opportunities.
• Develop coverage strategies for new Retail segments and geographies as the business expands.
• Build SQL/Python automations improving data quality and reducing manual work across data flows, scoring models, monitoring, and reporting.
• Manage territory data loads, mapping configurations, and system updates with central operations and tech teams.
• Build and maintain scalable enrichment workflows cleaning, classifying, and enhancing prospect and account data using LLMs.
• Develop territory and account prioritization models using sales performance, volume potential, market characteristics, business attributes, and field capacity.
• Own third-party market data strategy: vendor evaluation, procurement support, relationship management, and data quality oversight.
• Build automated tools monitoring Rules of Engagement (ROE) exceptions, partnering with central governance to improve compliance workflows and automate resolutions.
• Represent Retail’s territory data and infrastructure needs with cross-functional GTM partners across adjacent Business Technology, Data Infrastructure, and Finance.
• Manage a roadmap of territory infrastructure enhancements based on impact and scalability.
• Serve as Retail SME on territory operations, market coverage, account prioritization, and territory analytics.

Senior Analyst, Retail Revenue Operations – GTM Analytics, Operations

Salesforce Developer

• Spend the majority of your time developing on the Salesforce platform, specializing in Apex (Triggers, Async, Frameworks), LWC/Aura, and complex Flows.
• Maintain a deep understanding of Salesforce security (Sharing/Visibility), Data Modeling, and design patterns.
• Build and maintain high-performing Web Services (REST/SOAP) utilizing modern authentication and authorization patterns.
• Own the end-to-end lifecycle by performing rigorous code reviews, managing GitHub PRs, and navigating CI/CD deployment processes (including merge conflict resolution).
• Guide and support fellow team members, fostering a culture of continuous learning and technical growth.
• Actively participate in the SCRUM process—providing accurate story sizing, meeting deadlines, and escalating blockers proactively.
• Expertly leverage the Developer Console, Workbench, and Debug Logs to analyze performance issues and squash bugs.

Machine Learning Engineer

• Own technical direction of the ML Platform — feature store, model hosting and serving, experimentation, training infrastructure — driving architectural decisions around scalability, reliability, latency, and cost
• Lead design and delivery of large-scope platform initiatives from conception through production, coordinating across ML, data, and infrastructure teams
• Identify and resolve systemic technical challenges: online/offline feature parity, model deployment friction, experimentation velocity, GPU utilization, cross-team dependencies
• Set and maintain a high engineering quality bar through hands-on code contributions, design reviews, and mentorship of platform and ML-adjacent engineers
• Partner with ML engineering, data science, product, and platform leadership to translate ML strategy into technical roadmaps
• Define the paved paths ML teams use to ship models safely — from feature registration through canary rollout, monitoring, and rollback
• Leverage AI-augmented development tools to increase development velocity and code quality

Staff Machine Learning Engineer

• Design, build, deploy, and maintain highly resilient and scalable systems that are critical to the success of Data at Toast
• Develop and execute technical strategies to solve complex business challenges, leveraging data-driven decisions to prioritize impactful changes.
• Build and maintain strong partnerships across lines of business, aligning technical solutions with strategic objectives.
• Mentor and guide engineers, fostering a culture of continuous improvement, inclusivity, and engineering excellence.
• Effectively communicate technical direction, guide teams through execution and drive organizational quality practices
• Diagnose performance bottlenecks and implement optimizations
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

Principal Software Engineer, Advanced Analytics Platform

Data Scientist

• Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives.
• Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.
• Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.
• Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization.
• Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise.
• Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

Staff Data Scientist

• Leverage your Toast Payroll product knowledge and project management skills to partner with restaurant owners during the Go-Live phase, and build out onboarding plans that will produce a high quality implementation and adoption experience.
• The Onboarding Consultant is responsible for guiding customer through initial onboarding steps, including setting up client databases utilizing information from the previous payroll provider or data provided by the client
• Create & lead an onboarding training plan for each customer on how to leverage the Toast product configured to their business and workflow
• Manage several onboarding projects simultaneously, with a large book of business (60+ restaurants) in your backlog
• Effectively collaborate with other Strategic Cuisines teams at Toast including but not limited to sales, onboarding, marketing, etc.
• Ensure the customer’s transition to Toast Payroll goes smoothly and that you are available throughout the implementation to assist and guide the customer remotely
• Assist and guide by providing post-live guidance, troubleshoot problems or follow-up training as needed by the customer
• Assist in translation of customer-facing resources English to Mandarin as needed

Onboarding Consultant I, EC MLO

Account Executive

• Generate list of prospective restaurants and manage the entire sales cycle from initial call to close
• Conduct demos and develop a solution that best meets the prospect’s needs
• Partner with teams across the business to ensure that expectations set during the sales process are met in delivery
• Leverage Salesforce (our CRM) to manage all sales activities
• Understand the competitive landscape and determine how to best position Toast in the market

Inside Account Executive, SMB

Principal

• Perform analysis and build financial models to help inform data-driven capital markets decisions, gathering inputs from various stakeholders
• Create and manage ongoing ABS-style reporting and audit cadences to uphold various types of financing relationships
• Establish and maintain relationships with external capital teams to ensure compliance with contractual obligations
• Help negotiate and execute on new capital commitments in the form of private credit arrangements
• Collaborate with the Risk, R&D, Strategic Finance, Accounting, Product, Legal, Compliance, and Operations teams to evaluate and address capital markets impacts of new initiatives
• Drive operational efficiencies across all capital markets functions
• Build presentations to explain complex concepts, and deliver key information to a variety of audiences