Senior AI Engineer - Data & Revenue Operations

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 a fully remote company of around 200 members from 30+ countries. We have no formal hours but we manage high expectations closely, collaborate asynchronously across time zones, and document extensively. Twice a year we host company off‑sites in beautiful places around the world.

About The Role

Circle has experienced significant growth, reaching $50M ARR, and is now focused on building advanced data and AI infrastructure to empower our sales team to be 10x more effective. This role is part of our Data & Revenue Operations (RevOps) team and combines analytics engineering, AI application development, and sales enablement. You will work directly with the sales team to develop and deploy AI solutions that accelerate customer acquisition and revenue expansion.

As an AI Engineer, you will be instrumental in designing, building, and maintaining systems that detect signals from various sources such as community engagement, product usage, social platforms, and third-party tools. Your work will involve creating scalable data pipelines, scoring and prioritizing accounts, and deploying AI-powered applications to automate and enhance sales workflows. You will also develop predictive models, dashboards, and tools that provide actionable insights to the sales team, helping them identify high‑intent prospects and forecast pipeline health.

This role requires a deep understanding of sales processes, data modeling, and AI frameworks. You will prototype and iterate rapidly on AI solutions, including lead scoring models, conversational interfaces, and agentic systems. Collaboration with cross-functional teams such as Sales, RevOps, and Product will be essential to ensure alignment with business goals and to translate complex technical concepts into business value. Your contributions will directly impact the efficiency and effectiveness of our sales operations, making you a key driver of our growth strategy.

Qualifications

• Strong proficiency in Python, including experience with APIs, data manipulation, and AI/LLM libraries
• Advanced SQL skills and expertise in data modeling, including experience with dbt and complex queries
• Experience shipping AI applications using LLM APIs, agent frameworks, or rapid prototyping tools
• Proficiency with modern data tooling such as Snowflake, BigQuery, Redshift, Airflow, Dagster, Looker, or Tableau
• Deep understanding of GTM operations, including lead scoring, pipeline analytics, and sales workflows
• Strong systems thinking skills focused on building scalable, maintainable, and reliable solutions
• Excellent communication skills, capable of translating technical concepts into business value
• Fluency in English at CEFR Level C2 / ILR Level 5
  
  

Responsibilities

• Build and operationalize data pipelines that capture intent signals from community engagement, product usage, social platforms, and third-party tools
• Transform signals into scored, prioritized account lists and deploy scalable applications for sales enablement
• Maintain and enhance the data backbone supporting GTME and AI solutions, ensuring data quality and integrity across systems like HubSpot, data warehouses, and enrichment providers
• Design and develop analytics infrastructure, including data modeling, transformation pipelines, dashboards, and reporting systems
• Create and deploy AI-powered applications to automate sales workflows, personalize outreach, and surface insights
• Own the full stack of sales analytics, from raw data ingestion to end-user applications and semantic layers
• Prototype, iterate, and deploy AI solutions such as lead scoring models, enrichment tools, and conversational agents
• Collaborate closely with sales teams to understand workflows and translate business needs into technical solutions
• Develop predictive models and scoring systems to identify high‑intent prospects and forecast pipeline metrics
• Implement feedback loops and measurement frameworks to evaluate the impact of AI and enablement initiatives
• Ship internal tools like Slack bots, Chrome extensions, alerts, and lightweight apps that improve sales efficiency
• Partner with cross-functional teams including RevOps and special projects to deploy scalable AI systems and optimize sales processes
  
  

Benefits

• Fully remote work environment with flexible hours
• Autonomy and trust to manage your work outcomes
• 35 days of paid time off annually plus a paid sabbatical after five years
• Generous compensation aligned with U.S. benchmarks and startup equity
• Comprehensive medical coverage for you and your family
• Parental leave policies supporting expanding or starting families
• Home office setup stipends and ongoing learning & development allowances
• Annual bonus potential for roles with variable compensation
• Company retreats held twice a year in exciting locations worldwide
  
  

Equal Opportunity

Circle is an equal opportunity employer and values diversity in our team. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law. We are committed to creating an inclusive environment and will provide accommodations during the recruitment process as needed.