[Hiring] Applied AI Engineer @Snowplow

Role Description

Snowplow is rebuilding how the company runs its own work, and the Applied AI team owns Firn, the data and AI platform that work runs on, and the engineering standards that go with it. This role is an Applied AI engineer embedded with one business team, the way a site reliability engineer sits inside a product team: your line manager, your code reviewers and your career path come from Applied AI; your backlog and your day come from the team you serve. The Senior Director you report to still ships code.

Your team is Growth, the group inside Marketing that books new meetings for our sellers. Its workflows already produce pipeline:

• An always-on outbound engine that scores accounts daily and sends hundreds of personalized sequences.
• A campaign builder that turns an AE's target list into a reviewed campaign.
• A morning routine that ranks warm contacts by intent signal.
• Enrichment and signal pipelines from Apollo, Vector and reo.dev into Snowflake.
• A paid-media loop that adjusts ads.

Now they need an engineer who makes them production grade and keeps them improving. You take over that estate, make it reliable, and make it better every week. The Director of Growth sets what matters, which is what moves pipeline now. You decide how it gets built and you build it. You work with our data engineers on scoring models and the semantic layer, with the platform engineer on the framework your workflows move onto, and with the Growth Associates and AEs who use what you ship. The engineering standards are Applied AI's; the tempo is Growth's.

What you will own

• The GTM workflows in production, including:
  • The outbound orchestrator and its sequences.
  • The campaign builder.
  • The intent-signal routine.
  • The enrichment and signal pipelines.
  • The paid-media loop.
• Review steps before anything sends, including agents that check the list, confirm each signal is current, and review the copy before a sequence goes out, with sampled human sign-off.
• The learning loop, where replies and meetings booked feed back into who we contact and what we say. You instrument the sends, run A/B tests on variants, and show the Growth team which messaging is working.
• Signals and enrichment, including the pipelines that bring third-party signals and first-party behavior into Snowflake, the fields the Growth team needs exposed through our MCP tools, and the work with our data engineers that gets them there.
• Skills and routines for sellers, including the Claude skills the Growth Associates and AEs run each morning, the campaign tooling, and the short working sessions that get a new team using them.
• Deliverability and suppression, including one set of contact rules every sender reads, warm-inbox discipline, and the suppression windows that keep us welcome in people's inboxes.
• Engineering standards on your estate, including version control, alerting, tracing, runbooks and documented handover for every workflow you run, and a steady move of those workflows onto the Firn factory framework.
• The weekly cadence, including a standing backlog with the Director of Growth, priorities set by pipeline, and a short written account of what shipped and what it did.

Qualifications

• Written software that runs in production. Python and SQL are your working languages, you use git every day, and when you meet a new API you read the docs and use it.
• Built with LLMs for real work, including prompts, tools, structured outputs and evaluation, and the failure modes of each.
• Run something that could not go down, including alerting, error handling, retries and recovery.
• Moved data into a warehouse, including building or maintaining pipelines into Snowflake or an equivalent.
• Sat with sellers and marketers, able to take a growth director's ask, work out what they need, and come back with something they use the next week.
• A fast tempo, measured on meetings booked per week and what you build.
• An AI-native way of working you can show us, including a workflow, automation or agent you built and still use.
• Comfort being embedded, able to sit inside another team, take its priorities, and still hold the engineering standards your own team sets.

Bonus points for

• Experience with Salesforce, Apollo, Smartlead, Lemlist or similar GTM tooling and their APIs.
• Experience with email deliverability at volume.
• Experience with paid-media platform APIs.

How we hire for this role

The interview process includes a short technical exercise in code and a working session where you walk us through how you work with AI on a real task, using your own setup. We work this way ourselves, and you are welcome to use AI when applying.

Benefits

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