Nylon builds AI research tools that are changing how lawyers and accountants work. 2,000+ firms across New Zealand, Australia and the UK trust our platform, from the biggest firms in the world to small specialist practices.
Our go-to-market team runs on data. The quality of our outreach lists, the accuracy of our CRM and the reliability of the systems that connect them decide how well our sales and marketing efforts perform. We're hiring a GTM Engineer to own that data layer.
The role
You'll build and maintain the pipelines that find, enrich and deliver prospect data to our sales team, keep the CRM clean and trustworthy, and connect the tools in our stack so information flows without manual effort. It's a hands-on technical role at the intersection of sales operations, data and automation. Not a sales role, and not a pure engineering role. You'll report to our Head of Go-to-Market, work closely with our account executives, SDRs and marketing, and have a lot of freedom in how you solve problems.
What you'll be doing
Outreach data and list building
Building targeted prospect lists across NZ, AU and the UK from the ideal customer profiles the GTM team defines, covering firm type, size, practice area, location and seniority
Sourcing data from multiple channels, including scraping public sources, enrichment platforms (Clay, Apollo or similar), LinkedIn Sales Navigator, professional body registers and our own product and website data
Designing waterfall enrichment flows that verify contact details, fill gaps and score leads, keeping bounce and unsubscribe rates low
Using AI tooling to research accounts at scale, qualify fit, personalise outreach inputs and automate the repetitive parts of list building
Maintaining data quality, deduplication and consent standards so lists arrive usable and compliant with the Privacy Act, Australian Privacy Principles and UK GDPR/PECR
CRM and integrations
Owning the health of our CRM (Attio), including object and field design, pipeline stages, data hygiene, deduplication, ownership rules and reporting views
Building and maintaining integrations between the CRM and the rest of the GTM stack, including our dialler (JustCall), scheduling (Calendly), billing (Stripe), analytics (Metabase and our product database) and marketing channels (Meta Ads, website forms)
Writing automations and scripts (Python or JavaScript, webhooks, Zapier/Make/n8n or direct API work) so leads, activities and revenue events land in the right place without anyone re-keying them
Querying our data warehouse and Metabase in SQL to report on pipeline, conversion, attribution and rep activity, and to reconcile CRM records against source-of-truth systems
Documenting how the stack fits together and training the team on the parts they touch
About you
3 to 5 years in revenue operations, sales operations, growth engineering, data or a similar role, ideally at a B2B SaaS company
Proven experience building outreach or prospect lists with scraping and enrichment tools such as Clay
Strong CRM administration on at least one modern platform (Attio, HubSpot, Salesforce or similar), including data model design and hygiene rather than just day-to-day use
Solid SQL and comfort in a BI tool such as Metabase
Working proficiency in Python or JavaScript, plus experience with REST APIs, webhooks and automation platforms
Practical experience using LLMs and agentic tooling in real workflows, with a clear view of where they help and where they don't
A high bar for data quality and the discipline to keep systems tidy over time
Clear written communication, translating what sales and marketing need into systems that deliver it
Experience with accounting or legal firms, or professional body datasets in NZ, AU or the UK, is an advantage
Familiarity with marketing attribution and multi-touch pipeline analysis is an advantage
The right to work in the UK
What you'll get
No legacy stack to work around and no committee to get through. If you can show a better way of finding customers or running the CRM, you'll ship it
A small, well-funded team where the systems you build directly determine how well the company grows
How to apply
Alongside your CV, include a short note about one data or automation problem you've solved for a sales team and how you did it. Links to anything you've built (repos, Clay tables, dashboards, write-ups) are welcome.