Overview
Bees & Bears is mid-rollout on AI across the business and building the data foundation to support it. As our Applied AI Lead, you own the layer on top: query access, observability, and the first AI pipelines that turn raw data into something teams can actually use. This is a hands-on build role — not a strategy role. What you'll do Build and maintain a data/query layer across our current systems and data warehouse Design and build B&B's first AI data pipelines Set up observability for AI systems, usage tracking, error monitoring, and audit logs for anything touching customer data Connect HubSpot, Django, Taktile, and our v2 FastAPI APIs to support new AI use cases Map and consolidate the AI tool stack to reduce shadow usage and tool sprawl Work within our Red/Amber/Green data governance framework from day one Define and drive the AI roadmap for B&B, coordinating closely with our Senior D
Full job description
Your Mission
Bees & Bears is mid-rollout on AI across the business and building the data foundation to support it. As our Applied AI Lead, you own the layer on top: query access, observability, and the first AI pipelines that turn raw data into something teams can actually use. This is a hands-on build role — not a strategy role.
What you'll do
- Build and maintain a data/query layer across our current systems and data warehouse
- Design and build B&B's first AI data pipelines
- Set up observability for AI systems, usage tracking, error monitoring, and audit logs for anything touching customer data
- Connect HubSpot, Django, Taktile, and our v2 FastAPI APIs to support new AI use cases
- Map and consolidate the AI tool stack to reduce shadow usage and tool sprawl
- Work within our Red/Amber/Green data governance framework from day one
- Define and drive the AI roadmap for B&B, coordinating closely with our Senior Data Engineer and Head of Product
Your Talent
- Mid-senior platform or backend engineering background (Python strongly preferred given our Django/FastAPI stack)
- Proven experience building integrations across multiple systems — APIs, databases, SaaS tools
- Hands-on experience with LLM or agent platforms (Claude/Anthropic API) in a production or near-production context
- Ability to take a vague business problem and turn it into a scoped, executable technical build
- A basic grasp of data governance in a sensitive data environment (financial, customer data)
Nice to have
- Postgres data warehousing experience; BigQuery a plus for where we're heading
- Familiarity with fintech or lending data models (underwriting, loan servicing)
- Experience in a small team where one person owns a build end to end
Our Offer
Growth & CultureWe move fast, we're building a lot from scratch, and we're learning something new every day. You'll be part of a team that doesn't just work, it truly builds something, with a strong sense of ownership and genuine team spirit.ImpactYour job has a direct impact on the energy transition. Period.And because this is important to us, we offer extra days off for climate activism.FlexibilityWe work in a hybrid, trust-based environment.Working from home is the norm for us, two days a week are standard and flexible. We structure the rest in whatever way best supports collaboration and focus within the team.And if it works for you and your team, you can also work from other locations, workations are possible here.PerksYou'll receive a flexible bonus that you can use however you like, sports, culture, travel, whatever works for you.Food & EnergyLong days happen. When the office is running, so is the food: just order something to the office via Wolt.Team & VibeWe take our mission seriously, but we don't take ourselves too seriously.Offsites, team nights, and our "Bees & Beers" are just as much a part of the job as the work itself.
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