At a Glance
- Tasks: Build innovative solutions to enhance revenue operations and improve customer experiences.
- Company: Join sunday, a fast-growing tech company revolutionising restaurant payments.
- Benefits: Enjoy competitive salary, stock options, flexible work, and comprehensive health coverage.
- Other info: Collaborative environment with opportunities for rapid career growth.
- Why this job: Shape the future of revenue engineering with cutting-edge technology and AI.
- Qualifications: Experience in automation, data governance, and strong technical skills required.
The predicted salary is between 56700 - 69300 £ per year.
About Us sunday is building the fastest, simplest way to pay in restaurants.
With a quick scan of a QR code, diners can pay, tip, and leave in about 10 seconds.
We believe great products should feel obvious, not complicated, and we focus relentlessly on keeping things simple while earning trust from restaurants and guests at every interaction.
Today, sunday powers payments in thousands of restaurants across the US, UK, and France, helping operators turn tables faster, increase tips, and unlock valuable insights.
We push ourselves to go beyond what’s expected, building with ownership, moving fast, and scaling with ambition as we tackle our biggest growth opportunity in the US.
About The Role
At sunday, we believe Revenue Operations should operate more like a product and engineering organization than a traditional support function.
Our mission is to build scalable systems, deliver solutions quickly, and continuously improve how our commercial teams operate.
We’re looking for a Senior Go-to-Market Engineer to help build the next generation of our revenue engine.
This role sits at the intersection of Revenue Operations, Sales, Marketing, Data, AI, and Automation.
You'll partner directly with business stakeholders to turn commercial challenges into thoughtful, scalable technical solutions that help our teams move faster, make better decisions, and deliver a better customer experience.
You’ll take a senior technical role in building three core capabilities: the data and enrichment engine that powers how we understand our market, the automation layer behind our inbound and outbound motions, and the practical application of AI across our revenue organization.
This is a hands‑on builder role.
You’ll design and implement modern workflows, improve the quality and reliability of our commercial systems, and help establish sunday’s internal Revenue Engineering capability.
You’ll also provide technical mentorship to other Go-to-Market Engineers and play an important role in shaping how we build for the future.
Technology is evolving rapidly, and so are we.
We’re not looking for someone who already knows every tool – we’re looking for someone who learns quickly, enjoys experimenting, and wants to help define how AI and modern automation transform the way modern commercial organizations operate.
We believe Revenue Operations should be measured by the quality of the solutions it delivers, the experiences it creates for its users, and the business outcomes it enables.
This is a build role: you’ll help establish the architecture and governance that powers sunday’s next stage of growth as we scale into a truly global, multi‑market organization.
Join early, grow fast, and shape the journey!
Key Responsibilities
- Build and own sunday's GTM data and enrichment engine - connecting regional data providers, enrichment platforms, AI, and internal data to maintain an accurate global account and contact universe across our markets.
- Use AI and enrichment to make our commercial data more intelligent and actionable, filling gaps in account and contact data, identifying and validating businesses, and helping sellers understand which accounts to prioritize and why.
- Design and build the automation layer behind our core GTM motions, including inbound lead processing, outbound prospecting, enrichment, scoring, routing, seller workflows, and other high-volume commercial processes across the US, UK, and France.
- Help lead the practical application of AI within Revenue Operations, identifying high-value use cases and building AI-enabled workflows, agents, and tools that improve seller productivity, decision‑making, data quality, and operational efficiency.
- Partner with Sales, Marketing, Revenue Operations, Data, and Systems to turn commercial problems into scalable technical solutions, from initial solution design through prototyping, testing, deployment, and iteration.
- Help shape how commercial data is structured and governed in Salesforce, partnering closely with our Systems team to ensure the workflows and intelligence we build sit on a reliable data foundation.
- Build reusable integrations and technical patterns across our GTM stack, using APIs, orchestration platforms, automation tools, and code where appropriate rather than relying on manual processes or one‑off solutions.
- Act as a senior technical leader within our growing GTM Engineering capability, establishing strong engineering practices across architecture, documentation, testing, governance, and delivery while mentoring other Go-to-Market Engineers.
- Continuously evaluate emerging GTM and AI technologies, rapidly prototyping where there is a credible business use case and helping sunday determine what should become part of our long‑term commercial technology stack.
- Our Stack
- Here’s What You’ll Be Working With Day To Day
- CRM & Enrichment: Salesforce, Clay, Lusha, Full Enrich
- Automation & Engagement: n8n, Zapier, Cargo, Mix Max, Aircall
About You
We’re looking for someone who is naturally curious, enjoys building, and gets energized by solving messy business problems with technology.
The ideal candidate has experience working somewhere between engineering and go-to-market teams and is comfortable moving between strategy, systems, automation, and execution.
You may have started in Sales, Solutions Engineering, Customer Success, or Revenue Operations and taught yourself to build systems and automate workflows.
We’re equally open to talent coming from software, data, automation, or systems engineering when that’s paired with real fluency in how commercial teams work.
- Must-Haves
- Real experience with Clay, or a directly comparable GTM automation or enrichment platform, and the ability to build sophisticated workflows rather than simply operate a tool.
- Strong, hands‑on Salesforce experience. Commercial data governance in Salesforce is core to this role from day one.
- Experience designing scalable workflows, integrations, and operational processes.
- Hands‑on technical ability with APIs, SQL, scripting, or low‑code platforms to solve business problems.
- Experience partnering directly with business stakeholders to translate ambiguous problems into practical, working solutions.
- Enough project and change‑management discipline to scope, document, test, and stage a rollout - not just ship fast and hope it lands.
- Nice to Have
- Experience in restaurant, hospitality, or adjacent technology such as delivery, point‑of‑sale, or reservations.
- Experience with n8n or similar workflow and orchestration tools.
- Familiarity with LLM APIs, AI‑assisted workflow tools, and emerging automation technologies.
- What Success Looks Like
- In Your First 90 Days
- Develop a deep understanding of sunday's commercial systems, data, and operating model.
- Build strong partnerships across Revenue Operations, Sales, Marketing, Data, Systems, and our external technical partners.
- Take ownership of your first major build: the GTM data and enrichment engine that keeps our global account universe live, governed, enriched, and usable by every market.
- Begin identifying and prototyping high‑value AI and automation opportunities across our inbound, outbound, and seller workflows.
- Within 6 Months
- Improve the reliability, quality, and scalability of our core automations and commercial systems.
- Deliver reusable automation and technical patterns across key GTM motions rather than one‑off solutions.
- Begin establishing shared engineering standards and reusable delivery patterns across Revenue Operations.
- Help shape the future of sunday's Revenue Engineering capability as we continue to grow.
What we Offer
- Competitive Salary
- Stock Options
- A great office with a balance of in‑person and remote work
- Free Vacation Policy
- 100% Employer‑Covered Health Insurance
- + a 401K Plan in the US sunday is an equal opportunity employer and does not discriminate and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification).
- #J-18808-Ljbffr
Senior Go-to-Market Engineer employer: sunday
At sunday, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership and drive meaningful change. As a Senior Go-to-Market Engineer, you'll have the opportunity to work at the forefront of technology in a fast-paced environment, with access to competitive salaries, stock options, and comprehensive health benefits. Our commitment to employee growth is evident through our mentorship programmes and the chance to shape the future of our revenue operations as we expand globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Go-to-Market Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like sunday!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Go-to-Market Engineer at sunday.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like sunday.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Go-to-Market Engineer at sunday, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Go-to-Market Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at sunday, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at sunday. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at sunday
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at sunday!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
