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 development with a focus on data-heavy systems.
The predicted salary is between 60000 - 80000 £ 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.
- 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 employer: Stealth AI Company
As an IT&D User Experience Technician, you'll be at the forefront of innovation, tackling complex data challenges in a dynamic and collaborative environment. Our company prioritises employee growth, offering 25 days of holiday plus UK bank holidays, and fosters a culture of excellence where your contributions directly impact our cutting-edge AI projects. Join us to shape the future of revenue teams while enjoying a supportive work culture that values data quality and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land It&d User Experience Technician
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to data-heavy systems. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for the interview by diving deep into our tech stack. Familiarise yourself with Salesforce, HubSpot, and other tools mentioned in the job description. We love candidates who come in ready to chat about how they can tackle our challenges.
✨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 passionate individuals who are eager to join our team and help us build amazing AI agents.
We think you need these skills to ace It&d User Experience Technician
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. 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 needs!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building AI agents and how your background makes you the perfect fit. Share specific examples of your work with messy data and how you've tackled similar challenges.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies, especially in Python or Go. If you've worked with tools like Salesforce or HubSpot, make sure to mention that too. We love seeing your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Stealth AI Company
✨Know Your Data Inside Out
Since this role is all about handling messy GTM data, make sure you can discuss your experience with data-heavy systems. Be ready to walk through specific projects where you've tackled data ingestion, modelling, or retrieval quality. Highlight any challenges you faced and how you overcame them.
✨Show Off Your Engineering Skills
Prepare to dive deep into your technical expertise. Brush up on your knowledge of hybrid retrieval methods and be ready to explain when to use BM25 versus embeddings. If you've worked with Python or Go, have examples ready to showcase your fluency and how it contributed to your projects.
✨Demonstrate Your Problem-Solving Mindset
This role requires a strong focus on building reliable agents. Think of examples where you've had to troubleshoot or improve a system under pressure. Be prepared to discuss your approach to error recovery and how you ensure data quality in your work.
✨Cultural Fit Matters
As the first engineer, you'll shape the team's culture. Reflect on your past experiences and think about how you can contribute to a positive environment focused on data quality and collaboration. Be ready to share your thoughts on team dynamics and how you foster a culture of excellence.
