Chainalysis Careers Growth Go-to-Market Engineer at Chainalysis builds and scales workflows and outbound strategies to support Sales engagement. The role combines growth marketing, data enrichment, AI, and sales enablement.
Responsibilities
Success requires strong marketing judgement, technical curiosity, hands on workflow building experience, and the ability to connect automation to real commercial outcomes.
Identify promising market segments, buying situations, and account level triggers in partnership with Sales.
Develop targeted outbound plays, defining the audience, buyer problem, messaging, offer, seller action, and success criteria.
Build, own, and optimise Clay tables and research workflows, connecting enrichment, signal detection, account research, and contact discovery.
Use AI to interpret market signals, classify accounts, and generate relevant research and messaging inputs.
Map key accounts and buying committees, providing sellers with clear, evidence based insights and recommended actions.
Work directly with Sales teams to test outbound plays, gather feedback, measure performance, and determine what to scale or refine.
Establish quality controls and source references to ensure research and AI generated outputs are accurate and trustworthy.
Turn successful experiments into reusable workflows, signals, audience logic, and play templates.
Connect outbound strategies with ABM, paid media, and lifecycle marketing initiatives.
Partner with RevOps on CRM integrations, sales tooling, tracking, and workflow governance.
We’re looking for candidates who have:
Qualification
Growth Marketing and GTM StrategyTechnical and Automation SkillsExperience connecting data sourcesPractical use of AI for researchAbility to structure dataSales Partnership and ExecutionExperience with SalesforceExperience with APIsExperience connecting outboundAI at Chainalysis
Required
Growth Marketing and GTM Strategy
Understanding of B2B go to market strategies, outbound motions, demand generation, and ABM.
Ability to identify high value segments and translate buyer insight into targeted growth plays.
Experience developing messaging and value propositions for specific audiences.
Technical and Automation Skills
Hands on experience with Clay or comparable enrichment and automation platforms.
Experience connecting data sources, research workflows, and automation tools.
Practical use of AI for research, personalisation, and interpreting information.
Ability to structure data, troubleshoot workflows, and maintain data quality.
Sales Partnership and Execution
Proven ability to work closely with Sales teams to develop and execute outbound strategies.
Ability to translate account insights into clear seller context and actionable recommendations.
Preferred
Experience with Salesforce, Marketo, Demandbase, Goldcast, or Qualified.
Familiarity with sales engagement platforms and outbound sequencing tools.
Experience with APIs, webhooks, SQL, or data integrations.
Experience connecting outbound, ABM, paid media, and lifecycle marketing programmes.
Familiarity with data governance and research quality controls.
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.