At a Glance
- Tasks: Build AI agents that streamline revenue team tasks and tackle messy GTM data.
- Company: Join a pioneering tech company focused on innovative AI solutions.
- Benefits: Enjoy 25 days holiday, UK bank holidays, and competitive salary.
- Other info: Opportunity to hire and shape a team culture around data quality.
- Why this job: Be the first engineer shaping the future of AI in revenue operations.
- Qualifications: 5+ years backend experience with a focus on data-heavy systems.
The predicted salary is between 80000 - 100000 £ per year.
We're building AI agents for GTM — agents that do the work of a revenue team end-to-end: researching accounts, drafting outreach, updating the CRM, triaging inbound, prepping calls, following up. GTM data is the messiest data in the enterprise. It lives across 10+ systems, it's stale, it's permissioned, and full of half-truths people typed into Salesforce on a Friday afternoon. Building agents on top of this without hallucinating and actually getting the job done at scale is the real engineering problem.
You'd be the first engineer. The hard part isn't the agent loop — it's the data and context layer underneath: pulling from Salesforce, HubSpot, Gong, Slack, Notion, Drive and a long tail of broken APIs, then turning that mess into the precise, fresh, permission-aware context an agent needs to take a real action. Most of your hardest engineering time will be on the data side: ingestion, modelling, freshness, retrieval quality, evals, latency, permissions.
Own the data and context pipeline end-to-end: connectors, ingestion, schema modelling, chunking, embedding, indexing, hybrid search, reranking, serving. Own the agent runtime on top: tool use, planning, multi-step execution, error recovery. Build the eval harness before shipping anything new. We don't ship on vibes. By month six you'll have hired the second engineer and shaped the team's culture around data quality, evals, latency, and product taste.
Requirements:
- 5+ years of production backend experience, with meaningful time on data-heavy systems — retrieval, search, recsys, streaming pipelines, or ML infra with real users and real SLAs.
- You think data first. Bad data in, bad agents out, and you've felt that pain.
- Shipped a non-trivial RAG, semantic search, or agent system end to end. Strong opinions on hybrid retrieval. You know when BM25 beats embeddings, when SQL beats both, and you've made those calls in production.
- (Nice to have) Python or Go fluency.
- Multi-tenant systems with row- or document-level access control.
- Messy GTM stack integrations — Salesforce, HubSpot, Gong, Outreach, Apollo — and the scars to show for it.
- Data governance or security overlap: lineage, audit trails, PII handling, prompt injection defence.
Founders call (60 min, remote). Walk us through a data-heavy system you've built.
# 25 days holiday + UK bank holidays.
D T Technician in London employer: Stealth AI Company
Join a pioneering team at the forefront of AI technology, where you'll have the unique opportunity to shape the future of revenue operations as our first D T Technician. We foster a collaborative and innovative work culture that prioritises data quality and employee growth, offering 25 days of holiday plus UK bank holidays, and the chance to build a team that values precision and excellence in engineering. Located in a vibrant tech hub, we provide an environment that encourages creativity and meaningful contributions, making it an excellent place for those looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land D T Technician in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your data-heavy systems knowledge. Be ready to discuss your past projects and how you tackled challenges with messy data. We want to see your problem-solving skills shine!
✨Tip Number 3
Don’t forget to showcase your passion for data quality and engineering! Share your thoughts on hybrid retrieval and how you’ve made impactful decisions in production. We love seeing candidates who are genuinely excited about their work.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals who can help us tackle the challenges of GTM data together.
We think you need these skills to ace D T Technician in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the D T Technician role. Highlight your experience with data-heavy systems and any relevant projects you've worked on. We want to see how your skills align with our mission of building AI agents!
Showcase Your Data Skills:Since this role is all about handling messy GTM data, be sure to emphasise your experience with data ingestion, modelling, and retrieval. Share specific examples of how you've tackled similar challenges in the past — we love a good story!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're the perfect fit for the team!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy — just follow the prompts!
How to prepare for a job interview at Stealth AI Company
✨Know Your Data Inside Out
Since the role focuses heavily on data, make sure you can discuss your experience with data-heavy systems in detail. Be prepared to walk through specific projects where you've tackled messy data, and highlight how you ensured data quality and freshness.
✨Showcase Your Engineering Problem-Solving Skills
The interviewers will want to see how you approach engineering challenges, especially around data ingestion and retrieval. Prepare examples of how you've solved complex problems in past projects, particularly those involving hybrid retrieval or multi-tenant systems.
✨Demonstrate Your Tooling Knowledge
Familiarise yourself with the tools and technologies mentioned in the job description, like Salesforce, HubSpot, and various APIs. Be ready to discuss how you've integrated these systems in the past and any challenges you faced during those integrations.
✨Prepare for a Technical Deep Dive
Expect a technical deep dive during the founders call. Brush up on your knowledge of RAG, semantic search, and the trade-offs between different retrieval methods. Be ready to explain your thought process behind choosing specific solutions in your previous work.
