At a Glance
- Tasks: Build AI agents that streamline revenue team tasks and tackle messy GTM data.
- Company: Join a pioneering tech firm focused on innovative AI solutions.
- Benefits: Enjoy 25 days holiday, competitive salary, and remote work flexibility.
- Other info: Lead a team and cultivate a culture prioritising data quality and innovation.
- Why this job: Be the first engineer shaping the future of AI in a dynamic environment.
- Qualifications: 5+ years in backend engineering 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.
It&d User Experience 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 IT&D User Experience Technician. With a strong emphasis on data quality and innovative engineering, we foster a collaborative work culture that values your expertise and encourages professional growth through hands-on experience and mentorship. Enjoy generous benefits including 25 days of holiday plus UK bank holidays, all while working in a dynamic environment that thrives on tackling complex challenges.
StudySmarter Expert Advice🤫
We think this is how you could land It&d User Experience Technician in London
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who work with data-heavy systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing projects related to data ingestion and retrieval. This is your chance to demonstrate your expertise in handling messy data and building robust systems.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of hybrid retrieval systems. Be ready to discuss your past experiences with data governance and how you’ve tackled challenges in production environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace It&d User Experience Technician in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the User Experience 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 data, don’t shy away from sharing specific examples of how you've tackled data challenges in the past. Whether it’s ingestion, modelling, or retrieval quality, we want to know how you’ve made a difference in your previous roles.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point, showing us exactly why you're the right fit for the job.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to track your application and ensure it gets the attention it deserves. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Stealth AI Company
✨Know Your Data Inside Out
Since the role focuses heavily on data ingestion and context, make sure you can discuss specific data-heavy systems you've worked on. Be ready to explain how you handled messy data and what strategies you used to ensure data quality.
✨Showcase Your Engineering Experience
Prepare to walk through a project where you built a non-trivial retrieval or agent system. Highlight your decision-making process regarding hybrid retrieval methods and be clear about the trade-offs you considered.
✨Understand the Tools and Technologies
Familiarise yourself with the tools mentioned in the job description, like Salesforce, HubSpot, and Gong. If you've worked with APIs or multi-tenant systems, be ready to share your experiences and any challenges you faced.
✨Cultural Fit and Team Dynamics
As you'll be shaping the team's culture, think about how you can contribute to a focus on data quality and product taste. Prepare examples of how you've fostered collaboration and maintained high standards in previous roles.
