Staff Data & AI Engineer
Remote
Canada, Europe, United Kingdom, United States, France, Ireland, Netherlands, Spain
$140,000 - $160,000/yearly
Staff
Top Benefits
Medical coverage or reimbursements
Equity package for all employees
35 days PTO, 50% carryover
About the role
Who you are
- If you're obsessed with building elegant solutions that blend data engineering, modern AI tooling, and deep GTM intuition, this is your role
- 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
- 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
What the job involves
- 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
- 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
- Collaboration with 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
- Collaboration with RevOps: Co-own data quality, lead scoring models, campaign measurement, and CRM hygiene. Ensure your analytics and tools integrate seamlessly with operational workflows
- Collaboration with Special Projects: Collaborate on deploying and scaling agentic AI systems. Serve as the bridge between experimental AI capabilities and production sales applications. Provide feedback loops and real-world performance data
Benefits
- Medical coverage & reimbursements: Depending on your location, you will either be offered a full medical plan for you & your family, or offered generous monthly reimbursements to help with medical costs
- Equity package: We offer an equity package to every person that works at Circle
- Paid time off: We offer 35-days of PTO per year based on your hire date. Up to 50% can carry over to the next year
- Work from home, or anywhere: All of our employees are 100% remote!
- Learning & development stipend: Take advantage of up to $500 USD per year to help you level up your professional skills
- Home office stipend: New joiners receive $2,150 USD on their first paycheck to help outfit their home office, with a refresh every three years
- Company offsites: Twice a year, the Circle team gets together for a fully paid company retreat in incredible places around the world!
- Annual bonus: Roles that don't already receive variable income or commission are eligible to earn up to an extra 5% of their annual earnings as a yearly bonus based on overall company performance
- 401k with employer match: U.S. employees can partake in a 401k plan that has a 5% match, dollar-for-dollar
- U.S.-benchmarked compensation, no matter where you are in the world
- Paid sabbatical: After 3 years of employment, team members earn a paid 1-month sabbatical to decompress and unwind
- Parental leave for parents expanding their family, or just starting one
About Circle
Technology, Information and Internet
1001-5000
Circle is the world’s leading branded community platform.
We serve more than 10 million members in communities run by some of the world’s top creators and institutions — including Ali Abdaal, Dr. Becky, Jay Shetty, Harvard, SpaceX, and Oprah Winfrey.
We’re a fully remote company of 160+ team members based in 30+ countries in the world.
Staff Data & AI Engineer
Remote
Canada, Europe, United Kingdom, United States, France, Ireland, Netherlands, Spain
$140,000 - $160,000/yearly
Staff
Top Benefits
Medical coverage or reimbursements
Equity package for all employees
35 days PTO, 50% carryover
About the role
Who you are
- If you're obsessed with building elegant solutions that blend data engineering, modern AI tooling, and deep GTM intuition, this is your role
- 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
- 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
What the job involves
- 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
- 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
- Collaboration with 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
- Collaboration with RevOps: Co-own data quality, lead scoring models, campaign measurement, and CRM hygiene. Ensure your analytics and tools integrate seamlessly with operational workflows
- Collaboration with Special Projects: Collaborate on deploying and scaling agentic AI systems. Serve as the bridge between experimental AI capabilities and production sales applications. Provide feedback loops and real-world performance data
Benefits
- Medical coverage & reimbursements: Depending on your location, you will either be offered a full medical plan for you & your family, or offered generous monthly reimbursements to help with medical costs
- Equity package: We offer an equity package to every person that works at Circle
- Paid time off: We offer 35-days of PTO per year based on your hire date. Up to 50% can carry over to the next year
- Work from home, or anywhere: All of our employees are 100% remote!
- Learning & development stipend: Take advantage of up to $500 USD per year to help you level up your professional skills
- Home office stipend: New joiners receive $2,150 USD on their first paycheck to help outfit their home office, with a refresh every three years
- Company offsites: Twice a year, the Circle team gets together for a fully paid company retreat in incredible places around the world!
- Annual bonus: Roles that don't already receive variable income or commission are eligible to earn up to an extra 5% of their annual earnings as a yearly bonus based on overall company performance
- 401k with employer match: U.S. employees can partake in a 401k plan that has a 5% match, dollar-for-dollar
- U.S.-benchmarked compensation, no matter where you are in the world
- Paid sabbatical: After 3 years of employment, team members earn a paid 1-month sabbatical to decompress and unwind
- Parental leave for parents expanding their family, or just starting one
About Circle
Technology, Information and Internet
1001-5000
Circle is the world’s leading branded community platform.
We serve more than 10 million members in communities run by some of the world’s top creators and institutions — including Ali Abdaal, Dr. Becky, Jay Shetty, Harvard, SpaceX, and Oprah Winfrey.
We’re a fully remote company of 160+ team members based in 30+ countries in the world.