Applied AI Engineer

In this role you embed with the Growth team to productionize and evolve GTM workflows powering outbound campaigns and account targeting. You steward reliability and scale of the Firn data/AI platform, working with data engineers and platform engineers to deliver measurable pipeline improvements. You design AI-native workflows, instrument experiments, and ensure safe, cost-aware operation of production systems. You’ll partner with sellers and marketers to turn business asks into usable, value-driving solutions.

• meaningful equity stake
• competitive base salary
• flexible working
• generous PTO
• private medical insurance
• MacBook and home office equipment allowance

• Own GTM workflows in production: outbound sequences, campaign builder, intent signals, enrichment and signal pipelines, and paid-media loop
• Implement review steps before outbound actions, with human sign-off where appropriate
• Manage the learning loop: capture replies and meetings booked to improve targeting and messaging through A/B tests
• Handle signals and enrichment: integrate third-party signals and first-party data into Snowflake for Growth tooling
• Develop seller-facing tooling and routines: Claude skills, campaign tooling, and quick-start sessions for teams
• Ensure deliverability and suppression: establish contact rules, warm-inbox discipline, and suppression windows
• Uphold engineering standards on your estate: versioning, alerting, runbooks, and handover processes
• Maintain a weekly cadence with the Growth Director to plan, ship, and report impact

• Production-grade software experience
• Proficient in Python and SQL
• Daily use of Git
• Experience with APIs and reading API docs
• Familiarity with tools like n8n, Clay or Zapier; ability to code when needed
• Experience building with LLMs for real tasks and understanding failure modes
• Data movement into warehouses (Snowflake) and data modeling with dbt
• Ability to collaborate with cross-functional teams and sat with sellers/marketers to translate asks into usable outputs
• Comfort working embedded in another team and maintaining engineering standards

• collaboration
• ownership and initiative
• problem-solving under constraints
• Python
• SQL
• Git