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Circle · 2 months ago

Staff Data & AI Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$140K/yr - $160K/yr

Circle is building the world's leading all-in-one platform for online communities. They are seeking a Staff Data & AI Engineer to build data and AI infrastructure that enhances sales effectiveness through intelligent automation and real-time analytics.

AppsCommunitiesContentContent Creators

Responsibilities

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

Qualification

PythonSQLAI applicationsData modelingData warehousingGTM operationsCommunication skillsSystems thinkingCollaborationProblem-solvingAdaptability

Required

Strong alignment with Circle's values

CEFR Level C2 / ILR Level 5 proficiency in English (spoken, written, and reading)

Strong Python skills — comfortable building production applications, working with APIs, data manipulation (pandas, polars), and AI/LLM libraries (OpenAI, Anthropic, LangChain, etc.)

Advanced SQL and data modeling expertise — you can design dimensional models, write complex analytical queries, and build dbt projects from scratch

Experience shipping AI applications — whether with LLM APIs, agent frameworks (such as N8N, Relevance, ClayAgents, or custom GPTs with MCP), or rapid prototyping tools like Lovable, Cursor, v0, or Replit. Prior experience deploying multi-agent systems will be an advantage

Proficiency with modern data tooling — dbt, data warehouses (Snowflake/BigQuery/Redshift), orchestration tools (Airflow/Dagster), and BI platforms (Looker/Tableau/Hex), and data enrichment tools such as Clay, Breeze, Apollo, etc

Deep understanding of GTM operations — you've worked closely with sales teams and understand lead scoring, pipeline analytics, territory planning, and sales workflows

Strong systems thinking — you build for scale, maintainability, and reliability. You think about data quality, monitoring, and error handling from day one

Excellent communication skills — you can translate complex technical concepts into business value and collaborate effectively with non-technical stakeholders

Preferred

You've worked in an Analytics Engineering, Data Engineering, or RevOps role at a modern SaaS company

You bring both deep technical skills AND GTM intuition — a rare combination that makes you incredibly effective

You've thrived in a 0→1 environment and love building new systems from scratch

You've built and deployed AI agents, workflow automations, or custom internal tools that drove measurable business impact

You have experience with sales tech stacks (HubSpot, Salesforce, Outreach, Clay, etc.) and understand how data flows through GTM systems

Benefits

Fully remote: work from anywhere in the world!

Autonomy and trust to do your job: we care about outcomes over everything else.

Paid time away: all employees are given 35 days of PTO annually. We also offer a paid sabbatical after 5 years.

Generous U.S. benchmarked compensation and startup equity no matter where you are in the world.

Awesome medical coverage with 100% coverage for you and your family, or medical reimbursement options where applicable!

Parental leave for parents expanding their family, or just starting one.

Home office stipend to help you get up and running.

Learning & development stipend to help you level up your professional skills.

Annual bonus potential for roles that don't already receive variable income or commission.

Company retreats: Twice a year, the Circle team gets together for a fully paid company retreat in incredible places around the world! We've had past retreats in Colombia, Portugal, and Mexico, with more planned on the horizon.