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Snowplow

Applied AI Engineer

Snowplow

. Own production GTM workflows including the outbound orchestrator, campaign builder, intent-signal routine, enrichment and signal pipelines, and paid-media loop .

Posted 10/30/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining production-grade workflows, utilizing Python and SQL for data manipulation, and implementing automation solutions with a focus on continuous improvement and collaboration with cross-functional teams.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyWorkflow AutomationPipeline DevelopmentExperience with LLMs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production Software DevelopmentAPI IntegrationVersion Control with GitData Pipeline MaintenanceA/B TestingError HandlingAlerting and RecoveryTable Modeling in dbtAutomation with n8nEmail Deliverability
Soft Skills
CollaborationIterative Problem SolvingCommunication
Tools & Technologies
SnowflakeMCP ToolsSalesforceApolloSmartleadLemlistZapierClayFirn Factory FrameworkPaid-Media Platforms
Industry Keywords
GTM WorkflowsCampaign ManagementSignal PipelinesGrowth AssociatesMarketing Automation

Tech Stack

Tools & technologies
ApolloPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Own production GTM workflows including the outbound orchestrator, campaign builder, intent-signal routine, enrichment and signal pipelines, and paid-media loop
  • Make workflows reliable, production-grade and continuously improve them
  • Implement pre-send agent review steps for contact lists, signal freshness and copy, with sampled human sign-off
  • Instrument sends, run A/B tests and report which messaging performs
  • Build and maintain third-party signal and first-party behavior pipelines into Snowflake
  • Expose Growth-required fields through MCP tools and collaborate with data engineers
  • Build Claude skills, campaign tooling and onboarding sessions for Growth Associates and AEs
  • Manage deliverability, contact rules, warm-inbox discipline and suppression windows
  • Apply version control, alerting, tracing, runbooks and documented handover across workflows
  • Move workflows onto the Firn factory framework
  • Maintain a prioritized backlog with the Director of Growth and provide weekly written updates on shipped work and outcomes
  • Collaborate with data engineers, platform engineering, Growth Associates and AEs

Requirements

What you’ll need
  • Written software that runs in production
  • Python and SQL as working languages
  • Daily use of git
  • Ability to read API documentation and use APIs
  • Experience with tools such as n8n, Clay or Zapier
  • Experience building with LLMs for real work, including prompts, tools, structured outputs, evaluation and failure modes
  • Experience with alerting, error handling, retries and recovery
  • Experience building or maintaining pipelines into Snowflake or an equivalent warehouse
  • Ability to model a table in dbt or learn quickly
  • Experience working with sellers and marketers to turn business needs into usable solutions
  • Fast-tempo, iterative approach focused on shipping, measuring and improving
  • Demonstrable AI-native workflow, automation or agent that is still used
  • Comfort being embedded in another team while maintaining engineering standards
  • Bonus: Experience with Salesforce, Apollo, Smartlead, Lemlist or similar GTM tooling and APIs
  • Bonus: Experience with email deliverability at volume
  • Bonus: Experience with paid-media platform APIs
  • Must complete a short technical coding exercise and an AI working session during the interview process

Benefits

Comp & perks
  • Meaningful equity stake
  • Competitive Base Salary
  • Flexible working
  • Generous PTO
  • Private Medical Insurance
  • Company Pension
  • MacBook and home office equipment allowance
  • Enhanced Family leave