At a Glance
- Tasks: Lead technical deployments, integrating Wordsmith with customer systems and ensuring seamless functionality.
- Company: Join a fast-growing legal tech company revolutionising in-house legal operations.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with opportunities to shape the future of legal AI.
- Why this job: Make a real impact by connecting innovative tech with ambitious legal teams.
- Qualifications: Experience in SaaS integration, identity management, and strong problem-solving skills.
The predicted salary is between 74700 - 91300 £ per year.
Wordsmith is building the legal operating system for in-house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents and disconnected systems. Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgement matters, and every step is captured as work happens. We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend and become a function the business can run with. More than 500 companies, including Financial Times, Safelite, Trip.com, Canva, Starling and Sage, use Wordsmith. Backed by over $100M from Index Ventures, General Catalyst, Highland Europe and others, we are building one of the defining companies in legal AI.
The role of Deployment Engineers involves owning the technical side of getting Wordsmith live inside a customer. Once a deal is signed, you’ll connect Wordsmith to the systems our customers already run on. This includes identity and SSO, Microsoft 365 and SharePoint, Google Workspace, Salesforce, document management, chat tools, and MCP connections to the wider AI and data stack. You’ll design how data and permissions flow between them, build and test the integrations, and work through each customer’s IT and security requirements until everything works in production. It’s part integration engineering, part solutions architecture, and part customer-facing problem solving. You’ll be the technical lead on every deployment you own, the person customer IT teams talk to, and the person who works out how to make it work when an integration doesn’t behave as documented. This is a technical, hands-on role. You don’t need to be a lawyer, and we’re not necessarily looking for one. We’re looking for engineers and technical consultants who understand identity, APIs and enterprise SaaS, and who enjoy making systems talk to each other. Your focus is the technical foundation the rest of the deployment runs on. You’ll work side by side with our Legal Engineers on every deployment.
What you’ll do:
- Integrations: Own the integrations for each deployment, including SSO and SCIM, Microsoft 365, SharePoint and OneDrive, Google Workspace, Salesforce, document management and chat tools. Configure and connect Wordsmith to customers’ wider AI and data stack through MCP. Build, test and harden integrations so they hold up in production, not just in a demo.
- Identity, Security & Access: Set up identity and access, including SSO with Okta, Entra ID and Google, user provisioning, roles and permissions. Work through customers’ security reviews, IT questionnaires and data-handling requirements. Make sure permissions in Wordsmith respect the permissions in the systems it connects to.
- Technical Solution Design: Take the technical handover from Sales and confirm the customer’s systems landscape, constraints and integration scope. Design how data, documents and requests flow between Wordsmith and the customer’s tools. Advise customer IT on the right architecture for their environment and where the trade-offs sit. Work with Legal Engineers to agree what each integration needs to support the workflows, agents and playbooks they’re configuring.
- Technical Delivery & Escalation: Lead the technical workstream of each deployment, from environment setup and integration build through testing to go-live. Diagnose and fix integration issues, and act as the escalation point for technical problems during rollout. Know when a problem needs Engineering, and bring them a clear, reproducible case.
- Improve How We Integrate: Turn what you learn into reusable integration patterns, setup guides and technical runbooks. Feed connector gaps, API limitations and recurring requests back to Product and Engineering.
What we’re looking for:
- Hands-on experience deploying and integrating enterprise SaaS in customer environments.
- Strong working knowledge of identity and access, including SSO (SAML, OIDC), SCIM provisioning, Okta, Entra ID or Google Workspace.
- Experience integrating with the Microsoft 365 and SharePoint, Google Workspace or Salesforce ecosystems.
- Comfortable with APIs, webhooks, authentication flows and reading technical documentation. You can script or write code where it helps.
- Familiarity with MCP or other ways of connecting AI systems to tools and data, or a strong appetite to learn.
- Credible with customer IT and security teams. You can answer their questions and stand behind your architecture.
- Methodical troubleshooter who isolates problems, reproduces them and fixes them.
- Clear communicator who can explain a technical decision to a non-technical stakeholder.
Typical backgrounds include:
- Deployment, integration or implementation engineers in SaaS.
- Solutions engineers or solutions architects.
- Technical consultants with Microsoft 365, Google Workspace or Salesforce experience.
- IT or identity engineers who have moved into customer-facing roles.
How we work:
We’re an in-person team based in Edinburgh or London. You should expect to work from the office or visit customers as your default. We set a high bar, move quickly and give people meaningful ownership. There will not always be an established playbook, so you’ll need to bring curiosity, structure and persistence to unfamiliar situations. You’ll sit in the Transformation team, reporting to the VP of Transformation, and work closely with our Legal Engineers, alongside Legal Intelligence, Enablement, Customer Success, Support Engineering and Product.
Why Wordsmith:
Wordsmith is growing quickly, winning new customers and expanding within larger organisations. Wordsmith is only as useful as the systems it connects to. Every new customer brings a different stack, and Deployment Engineers are the people who make Wordsmith work inside it. You’ll work directly with ambitious in-house legal teams, see how dozens of legal functions really operate, and take that back into a product you help shape. You will work across enterprise identity, productivity and CRM platforms, and on MCP as it develops into a standard. You will own real technical outcomes from your first week and help define how we integrate as we scale.
Deployed Engineer employer: Wordsmith AI
Wordsmith is an exceptional employer located in Edinburgh, offering a dynamic and fast-paced work environment where innovation thrives. As a Sales Development Representative, you'll benefit from a collaborative culture that prioritises teamwork and personal growth, with ample opportunities to develop your skills in the burgeoning field of legal AI. With a strong backing and a commitment to employee success, Wordsmith provides a unique chance to be part of a transformative journey in the legal operations space.
StudySmarter Expert Advice🤫
We think this is how you could land Deployed Engineer
✨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 Wordsmith AI 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 Wordsmith AI.
✨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 Wordsmith AI.
✨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 Wordsmith AI 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 Deployed Engineer
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 Wordsmith AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wordsmith AI 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 Wordsmith AI
✨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 Wordsmith AI 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.