At a Glance
- Tasks: Lead technical demos and shape enterprise AI solutions with innovative data infrastructure.
- Company: Join zaimler, a pioneering tech company transforming enterprise AI.
- Benefits: Be part of a small team with significant impact and growth opportunities.
- Other info: Opportunity to shape the EMEA strategy and influence product development.
- Why this job: Help build the future of AI while working closely with industry leaders.
- Qualifications: 5+ years in tech roles, with strong B2B software experience.
The predicted salary is between 63000 - 77000 £ per year.
About zaimler
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.
About the Job
We're looking for a Forward Deployed Engineer to own the technical front line of our enterprise deals in EMEA. This is not a quota-carrying sales role, and it is not a pure delivery role. You are the person who walks into a room with a customer's data architects, understands their environment faster than they expect you to, and shows them what becomes possible when their agents can actually reason over their data. Then you make it real. You run the proof of value, you convert it into a production proof of concept, and you carry everything you learned back to our engineering team so the product gets better. You'll be one of the first people a customer meets and one of the last to leave before they're in production. That means the demo, the technical objection, the competitive comparison against our competitors, the architecture whiteboard with a skeptical principal engineer, and the honest read on whether a deal is real. All of it is yours. We're a small team, so you'll help build the playbook rather than inherit one. This role requires regular travel to customer sites across the UK and Europe.
What You Will Be Doing
- Run technical demos and discovery sessions with enterprise buyers, from data platform leads up to CIOs
- Build and own our pre-sales playbook: demo narratives, discovery frameworks, objection handling, and reference architectures
- Own the competitive landscape. Know where we win against Palantir, the hyperscalers, and the semantic layer vendors, and know honestly where we don't
- Drive proofs of value from scoping through to signed proof of concept, holding the technical thread the whole way
- Translate customer environments and edge cases into structured product feedback that reaches engineering with enough context to act on
- Partner with our ML and infrastructure engineers on deployments, so what you promised in the room is what gets built
- Act as the technical voice of the customer internally, and the credible technical voice of zaimler externally
Prior Experience
- 5+ years total experience, including 2 to 3 years in a hands-on technical or data role before moving into a customer-facing one. You've built something, not just presented about it
- Enterprise B2B software background; you understand long cycles, procurement, security review, and multi-stakeholder buying
- Track record converting technical proofs of value into production commitments
- Real fluency in the modern data stack: warehouses, pipelines, and how enterprises actually store and govern data
- Working knowledge of how LLM and agentic systems are deployed in production, and honest judgment about what they can and can't do today
- The credibility to hold a room of senior engineers. You can be challenged on architecture and push back without losing them
- Strong read on room dynamics: who holds budget, who holds veto, and who becomes your champion
- Comfortable with ambiguity, and with being the only zaimler person on site
Nice to Haves
- You've done this at a field-heavy data or AI company
- Experience with knowledge graphs, semantic layers, ontologies, or entity resolution
- Deployments into regulated or air-gapped environments (financial services, insurance, telco, public sector)
- Enough Python or SQL to prototype in front of a customer rather than promising to follow up
- Prior startup or zero-to-one experience where you helped define the motion, not just execute it
- Multilingual, or experience selling across multiple European markets
Why Join zaimler
You'd be early. Real enterprise deployments already running, no pre-sales org to slot into, no playbook to inherit. How zaimler runs a technical evaluation in EMEA will mostly be how you decide to do it. The problem is genuinely unsolved. Most of enterprise AI right now is a wrapper. We're building the layer underneath. You'll be explaining something hard to people who will know if you're bluffing. You're building the region, not joining it. You'll be first on the ground in Europe, and the field motion you establish is the one the team we hire after you will inherit. Close to the people building it. What you hear in the room goes straight to a founding team still writing the roadmap, not into a request queue. Small enough that you move the number. You'll be able to point at specific accounts and know they went our way because of you. We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you.
zaimler is an equal opportunity employer.
Forward Deployed Engineer in London employer: zaimler
At zaimler, we pride ourselves on being an innovative employer that empowers our team members to shape the future of enterprise AI. With a dynamic work culture that values collaboration and creativity, you'll have the opportunity to build impactful solutions while working closely with industry veterans. Our commitment to employee growth is evident in our hands-on approach, where your insights directly influence product development and the strategic direction of our EMEA operations.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at zaimler or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to zaimler.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like zaimler.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like zaimler that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at zaimler.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at zaimler and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at zaimler
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If zaimler uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.