Staff Data & AI Engineer

About Us

Circle is building the world’s leading all-in-one platform for online communities. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand.

We’re proud to be a fully remote company of around 200 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot.

Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come!

Check out our Careers page for more about working at Circle.

About the role

Circle has grown to $50M in ARR with a strong inbound motion. Now we're building the data and AI infrastructure to make our sales team 10x more effective through intelligent automation, real-time analytics, and custom-built AI applications.

This role sits on our Data & RevOps team and is equal parts analytics engineer, AI application developer, and sales force multiplier. You will directly support and collaborate with our sales team to help launch AI solutions that accelerate acquisition and expansion of revenue. You'll build production-grade data pipelines, design AI-powered sales tools, and create analytics systems that turn data into actionable insights for our go-to-market teams.

If you're obsessed with building elegant solutions that blend data engineering, modern AI tooling, and deep GTM intuition, this is your role.

What you'll be doing

• Instrument and operationalize signal detection by building data pipelines that capture intent signals from community engagement, product usage, social platforms, and third-party tools (Common Room, Clay, etc.). Turn signals into scored, prioritized account lists, and help deploy scalable applications that utilize these signals to accelerate growth and improve our business
• Build and maintain the data backbone that powers GTME and Enablement AI solutions — ensuring clean data flow between HubSpot, data warehouse, enrichment providers, and custom-built applications.
• Build and maintain analytics infrastructure for sales operations — from data modeling and transformation pipelines (dbt, SQL) to real-time dashboards and reporting systems. Closely align with our RevOps Sales lead, and support building out our tracking systems.
• Design and ship AI-powered applications using Python, LLMs, and rapid development frameworks (Lovable, Cursor, v0, Replit) to automate sales workflows, personalize outreach, and surface intelligent insights.
• Own the full stack of sales analytics — from raw data ingestion to semantic layers to end-user applications. Build reliable, scalable systems that sales can depend on daily.
• Prototype and iterate rapidly on AI solutions — building agentic systems, enrichment tools, lead scoring models, and conversational interfaces that help reps work smarter.
• Translate business requirements into technical solutions. Deeply understand sales workflows and pain points to build tools that actually get used. Collaborate closely with the GTME sales team to uncover new data-driven opportunities.
• Develop predictive models and scoring systems using SQL, Python, and ML frameworks to identify high-intent prospects, forecast pipeline, and optimize GTM motions.
• Create feedback loops and measurement frameworks to track the impact of GTME and enablement solutions you’ve helped launch — from adoption metrics to revenue influence to rep productivity gains.
• Ship internal tools that sales reps love — enrichment workflows, Slack bots, Chrome extensions, automated alerts, AI research assistants, and lightweight apps that reduce manual work.

Cross-Functional Collaboration

You'll work closely with three core teams:

• Sales: Act as an embedded technical partner to the sales organization and treat them as your primary stakeholder. Use direction from Sales leadership / GTME, and use their campaigns and app ideas as the basis of your roadmap. Align the success of your deliverable to metrics that align with the sales team’s success, including pipeline and rep efficiency.
• RevOps: