At a Glance
- Tasks: Own the RevOps function and drive impactful data-driven decisions.
- Company: Join Ultralytics, a leader in AI innovation and YOLO models.
- Benefits: Competitive salary, equity packages, flexible hours, and generous time off.
- Other info: Collaborative environment with excellent growth opportunities.
- Why this job: Make a real impact in the fast-paced world of vision AI.
- Qualifications: Bachelor's degree and hands-on HubSpot experience required.
The predicted salary is between 50000 - 70000 £ per year.
About Ultralytics: At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.
Who we are: At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality.
About the role: Write the playbook. Own the outcome. We have the foundations of a RevOps function — now we're building it out. This is a hire for someone who thrives in that phase: where the problems are real, the mandate is broad, and the impact of getting it right compounds fast. Reporting into GTM Engineering, you'll work directly alongside leaders across marketing, sales, and customer success. We're not looking for someone who needs a playbook handed to them — we're looking for someone with the drive and judgment to write one. From day one, you'll have genuine ownership over the tools, the data, and the decisions that our go-to-market teams run on.
What you'll do:
- Reporting & Analytics: Build and own the marketing reporting layer — dashboards, attribution models, and campaign performance tracking across a high-volume, always-on marketing org. Keep up with a fast-moving marketing team running many programs in parallel: make sure every new initiative has measurement built in from day one. Establish clear attribution across channels so we know what's actually driving pipeline and revenue — and can make smarter investment decisions. Create reporting cadences and templates that give the marketing team self-serve visibility into what's working.
- Build the Backbone for a Data-Driven Organisation: HubSpot is our revenue engine — you'll own it end to end: keeping the data clean, the pipeline trustworthy, and the workflows humming so our GTM teams can actually rely on what they're looking at. We're heading into serious growth mode, and the foundation needs to be solid before we pour concrete — that means a proper CRM audit, a cleanup, and systems that scale with us. Build the integrations and automations that keep data flowing across the stack without people having to babysit it. Turn tribal knowledge into documented, repeatable processes — so the team moves faster and doesn't break things when someone's on holiday.
- Performance & Revenue Team Effectiveness: Work directly with the heads of sales, marketing, and customer success as a strategic partner — bring data-backed recommendations, not just dashboards, and have a clear point of view on what the numbers mean and what we should do about them. Own the metrics that matter to leadership: pipeline velocity, conversion rates, time to close, and the early signals that tell us where we're heading before we get there. Identify what's slowing us down across the funnel — where leads stall, where deals drag — and drive the cross-functional work to fix it. Shape the KPIs, reporting cadence, and operational rhythm the business will run on as we move into aggressive growth mode in 2027.
Skills and experience:
- Core requirements: Bachelor's degree in Business, Marketing, Economics, Data Science, or a related field. Hands‑on HubSpot experience — you've worked in HubSpot as an admin or ops owner, not just a user. Comfort with marketing analytics — you understand multi‑channel attribution, campaign tracking, and how to measure what matters in a complex marketing environment. Strong analytical instincts — you're comfortable working with messy data and turning it into clear, actionable insights. Attention to detail: you notice when numbers don't add up and you care enough to fix it. Clear communicator — you can explain what the data says to people who don't live in spreadsheets. Highly self‑directed — you identify what needs doing without being told, take ownership of outcomes rather than tasks, and move fast without cutting corners. 0–2 years in a RevOps, marketing ops, or sales ops role (or equivalent hands‑on experience).
- Nice to have: Experience with SQL or BI tools (Looker, Tableau, Metabase, etc.). Familiarity with multi-touch attribution models and marketing analytics platforms. Familiarity with the broader B2B SaaS GTM stack — enrichment tools, sequencing, paid media tracking. Experience working in a fast-growing startup or scale‑up environment where priorities shift quickly. Background working across marketing, sales, and CS — not just one function.
Cultural fit: At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact. You’ll thrive here if you:
- Take ownership and deliver results with focus and accountability.
- Combine strategic thinking with hands‑on execution.
- Value excellence, grit, and creativity in equal measure.
- See collaboration as the foundation for meaningful progress.
Our culture is built around our core values:
- Relentless progress: Constant evolution and improvement.
- Strive for excellence: Perseverance and attention to detail.
- Actions, not words: Focus on delivering meaningful results.
- Act with urgency: Seize fleeting opportunities.
- Open access to all: Transparent communication and collaboration.
Compensation and benefits:
- Competitive salary: Reflecting your experience and contribution.
- Equity packages: We want our success to be yours too.
- On‑site collaboration: Work with passionate builders in one of our global hubs.
- Flexible working hours: We value results over routines.
- Generous time off: 24 vacation days, your birthday off, plus local holidays.
- Tech & tools: Work on cutting‑edge AI projects that power millions of devices.
- Gear: Brand‑new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
- Learning & development: Dedicated budget for personal and professional growth.
- High impact: Your work will shape the future of vision AI.
Where and how you can work: This role is based at one of our global hubs: London or Madrid. Applicants must have legal authorisation to work in the UK or Spain. We’re an in‑office team that values daily collaboration, energy, and connection. Being together helps us move faster, learn from one another, and celebrate wins as they happen.
Why join us: Real ownership from day one — you're building this function, not inheriting it. A seat at the table with GTM leadership as we move into aggressive growth mode. A product people actually love — YOLO is used by millions of developers across the world. Competitive compensation and equity.
RevOps Analyst employer: Ultralytics
At Ultralytics, we foster a culture of relentless innovation and collaboration, making us an exceptional employer for those passionate about AI. With competitive salaries, equity packages, and generous time off, we prioritise employee well-being while providing ample opportunities for personal and professional growth. Join our dynamic team in London or Madrid, where your contributions will directly shape the future of vision AI in a fast-paced, supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land RevOps Analyst
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We think you need these skills to ace RevOps Analyst
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!
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Craft a Tailored Cover Letter:For a full-time role at Ultralytics, 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 Ultralytics. 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 Ultralytics
✨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!
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✨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 Ultralytics!
✨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.