Data infrastructure. Making our data trustworthy, queryable, and actionable - the analytics foundation that powers targeting, reporting, and client-facing products.

Supply and demand. Connecting real-time technician availability to outreach decisions, agent conversations, and client reporting so the platform responds to what's actually happening on the ground.

Client-facing visibility. Our clients need to see what's happening with their campaigns without emailing us. That means dashboards, attribution, full-funnel tracking, and alerting - built on the analytics layer and designed for people who aren't technical.

System evolution. We have production systems serving real clients that need to be replaced incrementally. You'll design migration strategies, run parallel validation, and cut over without disrupting active campaigns.

What We're Looking For

You drive impact. You work to find the next thing big thing that will bring value to the team and company. You influence the team and company in an honest and positive way. You build up and support your teammates.

You've built systems that make decisions at scale. Whether that's ad targeting, recommendation engines, marketplace matching, or campaign orchestration - you've designed pipelines where the system decides who gets what, and you've dealt with the operational complexity that comes with it.

You think in data models. You know how to design schemas that absorb business complexity without becoming unmaintainable. You're comfortable with the tradeoffs between normalized relational models, EAV patterns, and JSONB escape hatches - and you know when each is appropriate.

You're pragmatic about shipping. You design for incremental delivery, not big-bang rewrites. You've migrated production systems while they were running and know what it takes to do that safely.

You close the loop. You don't just build the pipeline - you think about how to measure whether it's working, how to surface failures before clients notice, and how to use outcome data to improve the system over time.

You write clearly. Engineers at UpSmith write design docs that the team can build from. You'll spend meaningful time articulating your approach before you start coding.

Technical Environment

• Backend: Python, PostgreSQL, SQLAlchemy
• Data: dbt, Prefect, incremental models, SCD Type 2 snapshots
• Infrastructure: Kubernetes, AWS (S3, SQS, EventBridge)
• AI/ML: LLM-powered conversational agents, with growing opportunities to introduce ML-based optimization into targeting and prioritization
• Integrations: ServiceTitan (field service management), CRM systems

Benefits

• Early-stage equity in a company with strong revenue growth and a clear path to scale
• High ownership - you'll shape technical direction, not implement someone else's spec
• A small team where your work has visible, measurable impact on client outcomes
• Remote-first with flexibility to work where you're most productive

Apply

Apply at UpSmith

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