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Snowplow

Applied AI Engineer

Snowplow

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

Posted 11/9/2026full-timeBoston • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing production GTM workflows, including building and maintaining signal and enrichment pipelines, while ensuring reliability and efficiency through effective troubleshooting and collaboration with cross-functional teams. Proficient in Python, SQL, and utilizing tools for automation and workflow management.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyWorkflow Automation ToolsSnowflake Data PipelinesAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production Software DevelopmentVersion Control with GitA/B TestingError Handling and RecoveryData Modeling in dbt
Soft Skills
CollaborationIterative DeliveryCommunication
Tools & Technologies
N8nClayZapierSalesforceApollo
Industry Keywords
GTM WorkflowsEmail DeliverabilityPaid-Media APIsAI-Native AutomationGrowth Team Collaboration

Tech Stack

Tools & technologies
ApolloPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Own production GTM workflows, including the outbound orchestrator and sequences, campaign builder, intent-signal routine, enrichment and signal pipelines, and paid-media loop
  • Make workflows reliable, understand their operation and cost, and troubleshoot failures
  • Implement review steps before outbound messages are sent, including list and signal checks, copy review, holdback gates and sampled human sign-off
  • Build the learning loop by instrumenting sends, running A/B tests, and reporting effective messaging to Growth
  • Own signal and enrichment pipelines bringing third-party signals and first-party behavior into Snowflake
  • Expose Growth-required fields through MCP tools in collaboration with data engineers
  • Create and maintain Claude skills, seller routines and campaign tooling; conduct working sessions for new users
  • Establish contact rules, warm-inbox discipline and suppression windows for deliverability
  • Apply version control, alerting, tracing, runbooks and documented handover to owned workflows
  • Move workflows onto the Firn factory framework
  • Maintain a weekly backlog with the Director of Growth, prioritize by pipeline impact, and provide written updates on shipped work and results
  • Collaborate with data engineers, the platform engineer, Growth Associates and AEs
  • Report to the Senior Director of Applied AI while being embedded in the Growth team

Requirements

What you’ll need
  • Written software that runs in production
  • Python and SQL as working languages
  • Uses git daily
  • Ability to read API documentation and work with APIs
  • Experience with tools such as n8n, Clay or Zapier
  • Built with LLMs for real work, including prompts, tools, structured outputs, evaluation, and model failure modes
  • Experience with alerting, error handling, retries and recovery
  • Built or maintained pipelines into Snowflake or an equivalent data warehouse
  • Ability to model a table in dbt or learn quickly
  • Experience working with sellers and marketers
  • Fast-tempo, iterative delivery and measurement
  • AI-native workflow, automation or agent that was built and is still used; must be demonstrated during the interview process
  • 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 exercise in code and a working session demonstrating AI usage on a real task

Benefits

Comp & perks
  • Meaningful equity stake
  • Competitive Base Salary
  • Flexible working
  • Generous PTO
  • Medical, Dental & Vision Insurance
  • 401k
  • MacBook and home office equipment allowance
  • Enhanced Family leave