As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.

You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

This role will report to the leader of Solutions Architects for the Strategic Digital Native Business Unit focused on AI Native companies.

Responsibilities:

• Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
• Adapt the SA team's skills and engagement model to match the needs of Digital native customers
• Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
• Travel to customer sites for executive sessions, technical workshops, and building relationships
• Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
• Stay current with emerging Data and AI trends in the digital native tech sector

What we look for:

• 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
• 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
• A history of building a territory, growing strategic accounts, and exceeding targets
• Inspiring a team vision about the unique nature of the digital natives business
• A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
• Experience owning executive alignment in accounts that guide strategic decisions

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Local Pay Range
$172,500-$237,150 USD
About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Toast: Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

*Are you bready for a change?** The Product-Led Growth team builds the in-product experiences that help restaurants discover, try, buy, and adopt the Toast products they need. We own the services and surfaces that decide which restaurants see which offers, carry them through purchase and activation inside the product, and tell us whether it worked.

This is measurable, revenue-attached work. Every experience we ship has a conversion metric behind it, and we know within weeks whether it worked. We're a small team with a large surface area, and we're early in turning PLG from a set of hand-built campaigns into a platform: shared targeting, offer delivery, purchase, and measurement services that let us launch a new experiment in days instead of weeks.

You'll ship experiments into production, read the results, and decide what comes next, and you'll build the shared services that make each launch faster than the last. You'll work with product, marketing, sales operations, and data science to turn a hypothesis about customer behavior into a targeted in-product experience, then prove or disprove it with data.

About this roll*

• Drive end-to-end development of the backend services that power in-product growth experiences: eligibility, targeting, offer delivery, self-serve purchase, activation, and conversion tracking, owning the full lifecycle and iterating on measured outcomes.
• Build the shared infrastructure that makes the next experiment cheaper than the last: reusable targeting and eligibility services, campaign configuration, and a purchase flow that new offers plug into rather than rebuild.
• Build and evolve integrations with the systems those services depend on, consuming propensity scores, Toast IQ recommendations, and CMS-driven campaign controls, and connecting to billing, contracting, and provisioning systems so a restaurant can complete a purchase inside the product.
• Build LLM-powered experiences on Toast IQ, from prompt and tool design through evaluation and production monitoring.
• Design experimentation and attribution instrumentation so every launch has a clear measurement story, and use production data to kill or scale experiences quickly.
• Partner with product, design, marketing, sales, and data science to translate business goals like adoption and upsell targets into concrete, testable product changes.
• Contribute to technical design and architecture discussions, and help set engineering standards for a team that is growing.
• Mentor other engineers through code review, pairing, and technical guidance.

*Do you have the right ingredients?**

• 5+ years of software engineering experience building and maintaining production backend systems in Kotlin, Java, or another object-oriented language, with enough full-stack experience to ship web or native front-end changes when needed.
• Proven ability to own features end-to-end through design, launch, measurement, and iteration.
• Product-minded builder who is comfortable making product calls, launching, and iterating on what customers actually do, working across PM, design, and sales rather than executing tickets.
• Experience with experimentation, A/B testing, or growth engineering, and a working understanding of attribution: you can explain why a metric moved and whether to believe it.
• Experience building on LLMs or AI platforms, in production or in side projects. Interest in agents and tool use is a bonus.
• Experience building customer-facing features on top of data products such as scores, segments, or recommendations is a plus.
• Comfortable with ambiguity and with making tradeoffs between speed and scale.
• Proficient with AI tooling such as Claude, Cursor, and MCP servers.

This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.



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.

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. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid WorkingWe 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

People Are the Secret Ingredient in Our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.

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](mailto: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.