At a Glance
- Tasks: Build and deploy AI agents to enhance revenue workflows and drive automation.
- Company: Join Deel, a leader in AI-powered solutions with a global reach.
- Benefits: Enjoy remote work flexibility, stock options, and additional perks.
- Other info: Collaborate with diverse teams and contribute to a dynamic tech ecosystem.
- Why this job: Make a real impact by shipping innovative AI solutions in a fast-paced environment.
- Qualifications: 2-4 years in RevOps or Sales Ops with hands-on AI experience required.
The predicted salary is between 60000 - 80000 £ per year.
You’ll build, run, and continuously improve the AI‑powered systems that drive Deel’s global go‑to‑market engine. This is a hands‑on, builder‑first role—you’re not merely advising on automation; you’re doing it. As part of a centralized AI operations team, you’ll deploy autonomous agents, re‑engineer revenue workflows, and push the limits of what’s possible across sales, SDR, and marketing motions. The work you ship will directly accelerate pipeline and improve how our revenue teams operate every day.
What you’ll do at Deel
- Build and deploy AI agents: Prototype and ship autonomous AI agents for critical GTM workflows—Inbound qualification, outbound engagement, and the highest‑ROI automation opportunities—using Claude Code, n8n, AI Studio, and GitHub.
- Operate and improve the GTM automation stack: Run, monitor, and iterate on live workflows. You own the quality and performance of everything in production.
- Drive AI tool adoption: Manage the end‑to‑end rollout of new AI tools, including building training materials and supporting change management to ensure strong adoption across revenue teams.
- Support revenue tech stack performance: Contribute to the health and integration of Deel’s revenue tech ecosystem (Salesforce, Outreach, LISN) by flagging performance gaps and working with stakeholders to resolve them.
- Collaborate with GTM teams: Partner with Sales, SDR, and Marketing to understand workflow pain points, translate them into automation opportunities, and deliver solutions that measurably improve productivity and conversion.
- Build scalable, documented processes: Design and document workflows, SOPs, and playbooks so the systems you build can scale across a global org without depending on any single person.
- Contribute to pipeline analysis: Support funnel diagnostics by analyzing performance data, surfacing blockers, and helping the team close gaps between pipeline targets and actuals.
Key Qualifications
- 2–4 years of experience in RevOps, GTM Ops, Growth, or Sales Operations—hands‑on experience shipping AI or LLM‑powered workflows in production.
- Proven ability to build agentic workflows using modern AI tooling (Claude Code, n8n, AI Studio, or equivalents).
- Strong working knowledge of CRM and sales engagement tools—troubleshoot and build on top of Salesforce flows, lead routing, and engagement sequences.
- Solid analytical skills, comfortable in spreadsheets and data storytelling; SQL is a plus.
- Deep familiarity with demand‑funnel metrics—MQL, SAL, SQL, closed‑won—and how they connect across segments.
- Excellent communication; surface problems early and propose solutions.
- Proven project management—scoping, execution, stakeholder alignment, and follow‑through.
- Comfortable with ambiguity; adapt and keep moving as tools, scope, and methods evolve.
Why join us?
This role sits at the intersection of Deel’s commitment to building the most advanced AI‑powered people platform and operating a revenue engine that spans 150+ countries. You’ll ship impact‑driven solutions on a real‑world scale—your agents and workflows will run across one of the fastest‑growing GTM orgs in SaaS. You won’t be piloting ideas; you’ll be shipping them.
Benefits
- Stock grant opportunities dependent on role, employment status and location.
- Additional perks and benefits based on employment status and country.
- The flexibility of remote work, including optional WeWork access.
Equal Opportunity Employer
At Deel, we’re an equal‑opportunity employer that values diversity and positively encourages applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity, or other applicable legally protected characteristics. Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team and a team member will be in touch to ensure your equal participation.
Growth Solutions Architect | UK&I in London employer: Deel
Deel is an exceptional employer that empowers its employees to innovate and make a tangible impact in the rapidly evolving landscape of AI-driven solutions. With a strong commitment to diversity and inclusion, Deel offers a flexible remote work environment, opportunities for professional growth, and the chance to contribute to a global revenue engine spanning over 150 countries. Join us to be part of a dynamic team where your contributions will directly enhance productivity and drive success across our sales and marketing operations.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Solutions Architect | UK&I in London
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We think you need these skills to ace Growth Solutions Architect | UK&I 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 Deel. 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!
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✨Brush Up on Your Statistics
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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.
