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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 10/30/2026full-timeBoston • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing production GTM workflows, integrating APIs, and building data pipelines into Snowflake. Proficient in Python, SQL, and utilizing tools for automation and campaign management while ensuring deliverability and performance metrics.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyAPI IntegrationData Pipeline DevelopmentGTM Workflow Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLGitData PipelineAPI DocumentationLLM DevelopmentError HandlingA/B TestingVersion ControlDbt Modeling
Soft Skills
CollaborationProblem-SolvingIterative DeliveryCommunicationAdaptability
Tools & Technologies
SnowflakeN8nClayZapierSalesforceApolloSmartleadLemlist
Industry Keywords
GTM WorkflowsEmail DeliverabilityPaid-Media PlatformsAutomationAI-Native Workflows

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 where agents check lists, confirm signal freshness and review copy before sequences are sent, with sampled human sign-off
  • Instrument sends, run A/B tests, and report which messaging performs best
  • Build and maintain third-party signal and first-party behavior pipelines into Snowflake
  • Expose required Growth data through MCP tools in collaboration with data engineers
  • Develop Claude skills, campaign tooling and onboarding sessions for Growth Associates and AEs
  • Maintain contact rules, warm-inbox discipline and suppression windows for deliverability
  • Apply version control, alerting, tracing, runbooks and documented handover across workflows
  • Move workflows onto the Firn factory framework
  • Maintain a weekly backlog with the Director of Growth, prioritize based on pipeline, and document shipped work and outcomes
  • Collaborate with data engineers, the platform engineer, Growth Associates and AEs
  • Report to the Senior Director of Applied AI while embedded with the Growth team

Requirements

What you’ll need
  • Python and SQL as working languages
  • Daily use of git
  • Ability to read API documentation and integrate APIs
  • Experience with tools such as n8n, Clay or Zapier
  • Experience building with LLMs, including prompts, tools, structured outputs and evaluation
  • Understanding of LLM failure modes and ability to design against them
  • Experience operating production systems with alerting, error handling, retries and recovery
  • Experience building or maintaining data pipelines into Snowflake or an equivalent warehouse
  • Ability to model a table in dbt or learn quickly
  • Experience working with sellers and marketers to deliver usable solutions
  • Fast-pace, iterative delivery measured by meetings booked, reliability, cost and impact
  • AI-native workflow, automation or agent that was built and is still used; willingness to demonstrate it during interviews
  • 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
  • Ability to complete a technical coding exercise and AI working session during the interview process

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