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Nylon

AI-powered legal research platform

GTM Engineer

Sales OperationsConfirmed live in the last 24 hours
Full-timeBrighton, Brighton and Hove, UKNo salary listedIn-person

About the Job

Requirements

  • Three to five years of experience in revenue operations, sales operations, growth engineering, data, or a similar role.
  • Proven experience building outreach or prospect lists with scraping and enrichment tools such as Clay.
  • Strong CRM administration experience on at least one modern platform, including data model design and data hygiene.
  • Solid SQL skills and comfort using a business intelligence tool such as Metabase.
  • Working proficiency in Python or JavaScript, plus experience with REST APIs, webhooks, and automation platforms.
  • Practical experience using large language models and agentic tooling in real workflows, with the ability to assess where they are useful.
  • A high standard of data quality and the discipline to maintain systems over time.
  • Clear written communication and the ability to translate sales and marketing needs into systems.
  • The right to work in the UK.

Responsibilities

  • Build targeted prospect lists across New Zealand, Australia, and the UK using ideal customer profiles defined by the go-to-market team, including firm type, size, practice area, location, and seniority.
  • Source data from multiple channels, including public-source scraping, enrichment platforms, LinkedIn Sales Navigator, professional body registers, and company product and website data.
  • Design waterfall enrichment flows to verify contact details, fill gaps, and score leads while keeping bounce and unsubscribe rates low.
  • Use AI tools to research accounts at scale, qualify fit, personalize outreach inputs, and automate repetitive list-building tasks.
  • Maintain data quality, deduplication, and consent standards so lists are usable and compliant with the Privacy Act, Australian Privacy Principles, and UK GDPR/PECR.
  • Own the health of the Attio CRM, including object and field design, pipeline stages, data hygiene, deduplication, ownership rules, and reporting views.
  • Build and maintain integrations between the CRM and the go-to-market stack, including JustCall, Calendly, Stripe, Metabase and the product database, Meta Ads, and website forms.
  • Write automations and scripts using Python or JavaScript, webhooks, Zapier, Make, n8n, or direct API work so leads, activities, and revenue events are recorded without manual re-entry.
  • Query the data warehouse and Metabase using SQL to report on pipeline, conversion, attribution, and representative activity, and reconcile CRM records against source-of-truth systems.
  • Document how the stack fits together and train the team on the parts they use.

Desired Qualifications

  • Experience with accounting or legal firms, or professional body datasets in New Zealand, Australia, or the UK.
  • Familiarity with marketing attribution and multi-touch pipeline analysis.

About the Company

Nylon

AI-powered legal research platform

Law Cyborg provides AI-powered research tools for tax and legal professionals. Its platform acts as a conversational research partner that answers complex legal and tax questions with hyperlinked citations to legislation, case law, and official commentary, using retrieval-augmented generation to rely only on a defined dataset. It supports secure document uploads for review and drafts, and is sold on a subscription basis to firms from sole practitioners to large teams. The company differentiates itself with a legal-domain focus, verified citations, secure document handling, and backing from EY veteran leadership and notable investors, enabling broad geographic expansion. Its goal is to make meticulous legal research faster and more accessible while growing its knowledge base and reach to more regions and areas of law.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Auckland, New Zealand
Founded
2023

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