At a Glance
- Tasks: Administer Salesforce, build AI-powered automations, and develop custom integrations.
- Company: Join ElevenLabs, a leader in AI-driven revenue operations.
- Benefits: Enjoy remote work, professional development stipends, and exciting annual offsites.
- Other info: Dynamic team culture with endless growth opportunities and innovative projects.
- Why this job: Be at the forefront of AI technology and shape the future of revenue operations.
- Qualifications: Experience with Salesforce, Apex development, and SQL proficiency required.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for a RevOps Systems Analyst to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works.
You’ll function as a Salesforce admin and backend developer in one. You’ll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you’ll work shoulder-to-shoulder with our engineering team, scoping and shipping together.
Responsibilities
- Administer our Salesforce org: object model, data architecture, user configuration, and platform health.
- Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end.
- Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows.
- Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org.
- Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution.
Requirements
- Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration.
- Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team.
- SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic.
- Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes.
- Excited by modern tooling: you’re drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect.
Bonus
- Familiarity with dbt or modern data transformation tooling.
- Experience with BI tools such as Sigma or Looker.
Benefits
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
Location
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.
Systems Architect in London employer: Elevenlabs
At Elevenlabs, we pride ourselves on being an innovative employer that values collaboration and growth. Our work culture fosters creativity and inclusivity, providing employees with ample opportunities for professional development and the chance to make a significant impact in a global setting. With a focus on building strong partnerships, our team enjoys a dynamic environment where their contributions directly enhance customer outcomes and partner success.
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We think this is how you could land Systems Architect in London
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We think you need these skills to ace Systems Architect in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elevenlabs. 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 Elevenlabs
✨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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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
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✨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.
