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City of Edinburgh, Alba / Scotland, United Kingdom
Onsite
Edinburgh
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.
We’re hiring a Support Engineer to provide fast, thoughtful and technically rigorous help to Wordsmith customers.
You’ll own technical questions and incidents from first response through to resolution. You’ll understand what the customer is trying to achieve, reproduce reported behaviour, investigate the underlying cause and explain the outcome clearly.
This is more than scripted customer support. You’ll be expected to investigate application behaviour at a technical level, including reading logs and tracing issues through the product and its codebase. Where appropriate to your experience, you may also propose and submit code fixes through our normal engineering review and release process.
Wordsmith supports customers globally through a follow-the-sun model. You’ll work the standard hours for your region and hand over unresolved issues clearly to colleagues in other regions. There is no routine expectation that you work another region’s hours.
Own technical support requests — triage, investigate and resolve customer questions and incidents from first response to confirmed resolution.
Diagnose problems thoroughly — gather the right context, reproduce reported behaviour, inspect logs and data, and trace issues through the product and codebase.
Resolve technical issues — correct configuration or usage problems directly and collaborate with Engineering when a product or infrastructure change is required.
Contribute code fixes where appropriate — depending on your experience, propose and submit well-tested fixes through the standard engineering review and deployment process.
Communicate clearly — give customers timely and accurate updates, explain technical issues without unnecessary jargon and set honest expectations.
Manage escalations — bring in Engineering, Product or other specialists when needed while retaining ownership of the case and its communication.
Support global handovers — document investigation, impact, current status and next actions so colleagues in another region can continue work without losing momentum.
Protect service quality — recognise high-impact incidents quickly, follow the appropriate escalation process and contribute to incident reviews.
Build customer knowledge — create and maintain troubleshooting guides, known-issue documentation and help-centre content.
Reduce repeat problems — identify patterns in support demand and recommend improvements to the product, documentation, tooling and customer experience.
Improve support operations — help develop service levels, escalation paths, reporting and technical-support processes as the function scales.
The tools you'll use
Pylon is our helpdesk. Customer tickets, accounts, internal notes and escalations all live here.
GitHub. A little Git and GitHub knowledge is all you need.
Wordsmith itself. You'll use the product the way our customers do, which is how you'll reproduce what they report and learn how in-house legal teams work.
AI tools. You'll work with AI every day and be expected to check its output rather than trust it. Curiosity about how AI behaves, including when it's wrong, matters more than experience with any one tool.
The command line. Basic Bash is useful for moving around files, searching logs and running small scripts. Python or similar is a bonus. You don't need to be an expert; we'll help you build this up.
How we measure succes
We measure success on how quickly customers get a first response and on keeping customer satisfaction high. The people who do well here explain complex ideas simply, take ownership of an issue until it's confirmed resolved, stay calm under pressure, and document what they tested with care and precision.
A week in the role
Work your region's ticket queue in Pylon: triage, reproduce in Wordsmith, then resolve or escalate.
Investigate with logs, browser tools and the codebase to find the root cause.
Explain the outcome to the customer in plain language.
Write a clear handover note for the next region before you finish.
Flag patterns to Product, with the customer evidence behind them.
Experience in technical support, product support, software engineering, solutions engineering or another customer-facing technical role.
Strong diagnostic ability — you can work methodically from symptoms to root cause rather than relying on guesswork.
A working understanding of modern web applications, APIs, authentication, integrations and common browser or network issues.
Experience using diagnostic information such as application logs, monitoring tools, browser developer tools and database queries.
Enough familiarity with software code to navigate a codebase, follow application logic and use it to investigate reported behaviour.
Clear customer communication — you can remain calm under pressure, set expectations honestly and explain complex issues at the right level of detail.
Strong ownership — you remain responsible for moving an issue forward even when other teams need to contribute.
Sound prioritisation — you can assess urgency and customer impact and recognise when an issue requires immediate escalation.
Care and precision — you document what you tested, avoid unsupported conclusions and confirm that the customer’s problem has actually been resolved.
Interest in AI systems — you’re curious about how AI-enabled products behave and comfortable investigating issues that may not always be deterministic.
No legal background is required, but you should be motivated to learn how in-house legal teams work.
Experience writing and debugging production software.
The ability to create automated tests and submit code fixes for engineering review.
Experience supporting AI-enabled or data-intensive applications.
Familiarity with incident-management and observability tools.
We’re an in-person team based in Edinburgh. You should expect to work from the office as your default.
We support customers globally using a follow-the-sun model. You’ll work the normal hours agreed for your region and create clear handovers when an issue needs to continue beyond them. Any exceptional on-call or out-of-hours arrangements would be agreed and communicated separately.
We set a high bar, move quickly and give people meaningful ownership. Support is a core part of the product experience, and we expect it to be technically credible, responsive and human.
You’ll work closely with Engineering, Product, Transformation and Customer Success. Customer Success owns adoption and customer health; Transformation owns implementation; Account Management owns renewals and commercial growth; and Support Engineering owns technical investigation and resolution.
You’ll support a fast-growing product used for important work inside some of the world’s most ambitious organisations.
Because we’re building in a new technical category, the problems are interesting. You’ll work across software behaviour, integrations, data and AI systems rather than following a script.
You’ll have the opportunity to shape our support tooling and operating model, influence the product through direct customer evidence, and develop towards senior support engineering, support leadership, solutions engineering or product engineering.