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For Companies At a Glance
- Tasks: Lead AI deployments, integrate systems, and translate regulations into actionable controls.
- Company: Governr, a pioneering firm in AI control infrastructure for financial services.
- Benefits: Competitive salary, equity, and direct access to founding team members.
- Other info: Dynamic role with real impact on clients across the UK, EU, and US.
- Why this job: Join a groundbreaking team and shape the future of AI in regulated industries.
- Qualifications: 3+ years engineering experience, strong Python or TypeScript skills, and client-facing experience.
The predicted salary is between 80000 - 100000 £ per year.
Who we are governr is the system of record for AI in regulated financial services, healthcare and government. The independent control layer above security tools, GRC point tools and foundation models. Buyers are CROs, CISOs, and Heads of AI at banks, PE firms, wealth managers and insurers. Their problem is concrete: AI is doing material work in their firms and they don't have a control infra to manage material business risks, regulatory exposures and deployments with confidence. Forward Deployed Engineers sit inside that problem. You lead with client teams during the AI Atlas sprint, turn their environment into working deployments of governr, and enable them to scale their AI deployments. You are equal parts engineer, domain consultant and product input channel.
What you'll do
- Lead technical delivery of Atlas Program engagements: discovery against the client estate, mapping AI systems and digital workers to our 60 risk factors and 80+ agent-specific controls, producing the board-ready output.
- Deliver integrations into client stacks: cloud (AWS/Azure/GCP), identity (Okta, Entra), security signal producers (Wiz, CrowdStrike, Noma), GRC (OneTrust, Vanta), and foundation model providers (Anthropic, OpenAI, Bedrock, Palantir).
- Translate regulatory frameworks (EU AI Act, FCA PS26/2, DORA, FINRA 25-07, SS1/23) into deployed controls inside the platform, working with the regulatory and product teams.
- Run the agent moments live in client environments: surface orphaned agents, quantify exposure, and walk a CRO through what they're actually looking at.
- Feed the product roadmap. You see what works in the room and what breaks at deployment and what our clients demand in addition to excel.
- Own technical relationships post-deployment. You are the engineer the client trusts.
What we're looking for
- 3+ years engineering experience, ideally with at least one stint in a customer-facing or deployment role (FDE, solutions engineer, delivery engineer, technical consultant).
- Strong Python or TypeScript.
- Comfortable across cloud APIs, IAM, and event-driven architectures.
- You can read a Terraform stack and a CloudTrail log and tell us where the AI is hiding.
- Track record of shipping integrations against messy enterprise environments, not just clean greenfield builds.
- Credibility in front of senior technical and risk stakeholders. You can hold a room with a CISO and a Head of Model Risk in it.
- Security and risk fundamentals are essential.
- Bias to operating in ambiguity. Engagement sprints are always scoped, but never tidy. It's our job to get this all over the line and help them.
- Financial services background, bonus: prior work on agentic, model risk.
What you'll get
- Founding-team-adjacent seat. You work directly with the CEO, CPO, and CTO, and you are in front of clients from week one.
- A category is being built in real time. Control infrastructure for AI is the Wiz-for-cloud parallel we are early and the structural moat is real.
- Competitive salary, equity, and the seed-stage upside to match.
- Real clients with real pain. PE funds, mid-tier banks, insurers and wealth managers across the UK, EU, and US.
Forward Deployed Engineer (Expert) employer: governr
Contact Detail:
governr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer (Expert)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at a company you're interested in. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that demonstrate your engineering prowess, make sure to share them during interviews or networking events. It’s a great way to stand out and show potential employers what you can bring to the table.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python or TypeScript skills and be ready to tackle real-world problems. Practice coding challenges and be prepared to discuss how you've handled complex integrations in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Forward Deployed Engineers. Your next big opportunity could be just a click away, so make sure to check out our listings and get your application in!
We think you need these skills to ace Forward Deployed Engineer (Expert)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your experience with client-facing roles and any relevant technical skills, especially in Python or TypeScript. We want to see how your background aligns with our needs!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects where you’ve worked with cloud APIs, integrations, or regulatory frameworks. This will help us understand your hands-on experience and how you can tackle the challenges we face.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point, showing us why you’re the right fit for the role.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at governr
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python or TypeScript, as well as cloud APIs and event-driven architectures. Brush up on your Terraform and CloudTrail knowledge too, so you can confidently discuss how to navigate complex enterprise environments.
✨Understand the Client's Needs
Before the interview, research the types of clients governr works with, like banks and PE firms. Familiarise yourself with their pain points regarding AI deployments and regulatory compliance, so you can demonstrate how you can help solve these issues.
✨Showcase Your Customer-Facing Experience
Highlight any previous roles where you interacted directly with clients, especially in a technical capacity. Be ready to share specific examples of how you’ve built trust and delivered solutions in challenging situations.
✨Prepare for Ambiguity
Engagement sprints can be messy, so be prepared to discuss how you handle ambiguity and adapt to changing requirements. Share stories that illustrate your problem-solving skills and your ability to deliver results even when things get tricky.