STAFF DATA & AI ENGINEER
Posted on: January 10, 2026 | Work from Anywhere
Company Name: Circle | Application Deadline: Open Until Filled
Team: Revenue Operations | Reports To: RevOps Leadership
Division: Revenue Operations / Data | Employment Type: Full-Time
Location: Remote-Global (Work from Anywhere)
Schedule: Remote-Flexible | Experience Level: 05 + Years
ABOUT CIRCLE
Circle is building the world's leading all-in-one platform for online communities, revolutionizing how creators, coaches, educators, and businesses connect with their audiences. Our comprehensive platform seamlessly integrates engaging discussions, live streaming capabilities, dynamic events, real-time chat, educational courses, and integrated payment processing—all unified in one place, all under their own brand identity.
As a proud fully remote company, Circle comprises approximately 200 talented team members (and growing!) spanning over 30 countries worldwide. Our mission centers on identifying exceptional individuals across the globe, empowering them to produce their career-best work, and simultaneously creating meaningful, life-changing impact for every team member.
We embrace a results-oriented culture where we don't monitor hours but maintain exceptionally high performance standards. Our workflow thrives on asynchronous collaboration across multiple time zones, supported by comprehensive documentation practices that keep everyone aligned and informed. We trust our team members to manage their time effectively while delivering outstanding outcomes.
Twice annually, we unite our entire global team in spectacular destinations worldwide for comprehensive company offsites. Our retreat history includes unforgettable experiences in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and numerous other breathtaking locations, with exciting new destinations continuously being planned for future gatherings. These offsites provide invaluable opportunities to build deep connections, align on our vision, and celebrate our collective success.
Check out our Careers page for more about the exceptional experience of working at Circle.
ABOUT THE ROLE: WHERE DATA MEETS AI MEETS REVENUE GROWTH
Circle has successfully grown to $50 million in Annual Recurring Revenue (ARR) powered by a strong inbound motion and exceptional product-market fit. Now we're building the sophisticated data and AI infrastructure to make our sales team 10x more effective through intelligent automation, real-time analytics, and custom-built AI applications that drive meaningful business impact.
This strategic role sits on our Data & Revenue Operations team and represents a unique blend of three critical disciplines: analytics engineer, AI application developer, and sales force multiplier. You will directly support and collaborate with our sales team to design, build, and launch AI solutions that dramatically accelerate acquisition and expansion of revenue.
You'll build production-grade data pipelines that power critical business decisions, design AI-powered sales tools that augment human capabilities, and create analytics systems that turn raw data into actionable insights for our go-to-market teams. Your work will directly impact revenue, sales efficiency, and our ability to scale intelligently.
If you're genuinely obsessed with building elegant technical solutions that blend data engineering excellence, modern AI tooling, and deep go-to-market intuition, this is your role. You'll have the autonomy to architect systems, the resources to build them right, and the satisfaction of seeing your work drive measurable business outcomes.
WHAT YOU'LL BE DOING
Instrument and Operationalize Signal Detection
Build sophisticated data pipelines that capture intent signals from diverse sources including community engagement metrics, product usage patterns, social platform activity, and third-party enrichment tools (Common Room, Clay, and similar platforms). Transform these raw signals into scored, prioritized account lists that sales can action immediately. Help deploy scalable applications that utilize these signals to accelerate growth, improve conversion rates, and enhance our overall business intelligence.
Build and Maintain the Data Backbone for GTM Excellence
Construct and maintain the robust data infrastructure that powers Go-To-Market Excellence (GTME) and Enablement AI solutions. Ensure clean, reliable data flow between HubSpot CRM, our data warehouse, enrichment providers, and custom-built applications. This backbone is critical infrastructure that enables every other system to function effectively.
Build and Maintain Analytics Infrastructure for Sales Operations
Own the complete analytics infrastructure supporting sales operations—from data modeling and transformation pipelines (using dbt, SQL, and modern ELT patterns) to real-time dashboards and sophisticated reporting systems. Work in close alignment with our RevOps Sales lead to build out comprehensive tracking systems that measure what matters and surface insights that drive action.
Design and Ship AI-Powered Applications
Leverage Python, Large Language Models (LLMs), and rapid development frameworks (Lovable, Cursor, v0, Replit) to build and deploy AI-powered applications that automate tedious sales workflows, personalize outreach at scale, and surface intelligent insights that help reps close deals faster. Move quickly from concept to production, iterating based on user feedback and measurable impact.
Own the Full Stack of Sales Analytics
Take end-to-end ownership of sales analytics—from raw data ingestion and cleaning through semantic modeling layers to end-user facing applications and dashboards. Build reliable, scalable, well-monitored systems that sales teams can depend on daily for critical decisions. Ensure data quality, implement proper error handling, and create systems that degrade gracefully.
Prototype and Iterate Rapidly on AI Solutions
Build innovative agentic systems, enrichment tools, lead scoring models, and conversational interfaces that help sales representatives work smarter, not harder. Move quickly through prototype-to-production cycles, gathering feedback and iterating based on real-world usage and business impact.
Translate Business Requirements into Technical Solutions
Develop deep understanding of sales workflows, pain points, process bottlenecks, and opportunity areas. Use this GTM intuition to build tools that actually get adopted and used, not shelf-ware that looks good in demos but fails in practice. Collaborate closely with the GTME sales team to uncover new data-driven opportunities and prioritize high-impact projects.
Develop Predictive Models and Scoring Systems
Build sophisticated predictive models and scoring systems using SQL, Python, and modern ML frameworks to identify high-intent prospects, forecast pipeline accurately, optimize GTM motions, and allocate resources effectively. Turn historical data into forward-looking intelligence that drives better decisions.
Create Feedback Loops and Measurement Frameworks
Implement comprehensive measurement frameworks to track the impact of GTME and enablement solutions you've helped launch. Measure adoption metrics, revenue influence, rep productivity gains, and other KPIs that demonstrate ROI. Use these feedback loops to continuously improve and iterate on solutions.
Ship Internal Tools That Sales Reps Love
Build practical, user-friendly internal tools including enrichment workflows, Slack bots for real-time notifications, Chrome extensions that surface relevant data in-context, automated alerts for high-priority opportunities, AI research assistants, and lightweight applications that reduce manual work and cognitive load for sales teams.
CROSS-FUNCTIONAL COLLABORATION
You'll work closely with three core teams, each representing a critical stakeholder in your success:
Sales Team - Your Primary Stakeholder
Act as an embedded technical partner to the sales organization, treating them as your primary customer and stakeholder. Take direction from Sales leadership and the GTME team, using their campaigns and application ideas as the foundation of your roadmap and priorities. Align the success of your deliverables to metrics that directly correlate with sales team success, including pipeline generation, conversion rates, deal velocity, and rep efficiency improvements.
Revenue Operations - Your Operational Partner
Co-own critical RevOps functions including data quality initiatives, lead scoring model development and refinement, campaign measurement and attribution, and CRM hygiene standards. Ensure your analytics infrastructure and tools integrate seamlessly with operational workflows, creating a cohesive ecosystem rather than disconnected point solutions.
Special Projects Team - Your Innovation Partner
Collaborate on deploying and scaling experimental agentic AI systems. Serve as the crucial bridge between cutting-edge experimental AI capabilities and production-ready sales applications. Provide real-world feedback loops and performance data that inform which experiments should scale and which should be discontinued.
WHAT YOU'LL NEED TO BE SUCCESSFUL
Cultural and Communication Requirements
- Strong alignment with Circle's core values—find our values on our career page if you haven't read up on them yet
- CEFR Level C2 / ILR Level 5 proficiency in English (native or near-native fluency in spoken, written, and reading comprehension)
Core Technical Skills
Strong Python Skills - Comfortable building production-grade applications with proper error handling, logging, and monitoring. Proficient working with APIs, data manipulation libraries (pandas, polars), and AI/LLM libraries (OpenAI, Anthropic Claude, LangChain, LlamaIndex, and similar frameworks). Can write clean, maintainable, well-documented code.
Advanced SQL and Data Modeling Expertise - You can design dimensional models that support complex analytics, write sophisticated analytical queries with window functions and CTEs, optimize query performance, and build comprehensive dbt projects from scratch. You understand data modeling best practices including slowly changing dimensions, fact tables, and semantic layers.
Experience Shipping AI Applications - Proven track record building and deploying applications using LLM APIs, agent frameworks (such as N8N, Relevance AI, Clay Agents, custom GPTs with Model Context Protocol), or rapid prototyping tools like Lovable, Cursor, v0, or Replit. Prior experience deploying multi-agent systems, RAG (Retrieval Augmented Generation) applications, or autonomous workflows will be a significant advantage.
Proficiency with Modern Data Tooling - Hands-on experience with dbt for data transformation, cloud data warehouses (Snowflake, BigQuery, or Redshift), orchestration tools (Airflow, Dagster, or Prefect), BI platforms (Looker, Tableau, Mode, or Hex), and data enrichment tools such as Clay, Breeze Intelligence, Apollo, Clearbit, and similar platforms.
Deep Understanding of GTM Operations - You've worked closely with sales teams and genuinely understand lead scoring methodologies, pipeline analytics and forecasting, territory planning and quota allocation, and sales workflows from prospecting through close. You speak the language of sales and understand their daily challenges.
Strong Systems Thinking - You build for scale, maintainability, and reliability from day one. You proactively think about data quality monitoring, alerting systems, error handling, graceful degradation, and operational excellence. You create documentation and runbooks that enable others to support your systems.
Excellent Communication Skills - You can translate complex technical concepts into clear business value propositions. You collaborate effectively with non-technical stakeholders, asking clarifying questions, managing expectations, and delivering on commitments. You document your work comprehensively for future reference.
BONUS QUALIFICATIONS
While not required, the following qualifications will strengthen your application and demonstrate exceptional fit:
- You've worked in an Analytics Engineering, Data Engineering, or Revenue Operations role at a modern, fast-growing SaaS company
- You bring both deep technical skills AND GTM intuition—a rare and powerful combination that makes you incredibly effective at building tools sales teams actually use
- You've thrived in a 0→1 environment and genuinely love building new systems from scratch, establishing patterns, and creating foundations for future scale
- You've built and deployed AI agents, workflow automations, or custom internal tools that drove measurable business impact (revenue influence, efficiency gains, cost reduction)
- You have hands-on experience with modern sales tech stacks (HubSpot, Salesforce, Outreach, Clay, Common Room, etc.) and deeply understand how data flows through GTM systems and where integration points create leverage
- You've implemented data quality frameworks, monitoring systems, or governance practices at scale
- You have experience with vector databases, embeddings, and semantic search technologies
- You've contributed to open-source data or AI projects
COMPENSATION & BENEFITS
$140,000 - $160,000 USD per year
The cash compensation range shown is a starting point based on experience, skills, and location factors. In addition to competitive base salary, you'll receive meaningful startup equity that aligns your success with Circle's growth, comprehensive benefits, and valuable perks. Your cash compensation is subject to annual review and increase on a once-per-year basis based on performance, contribution, and market conditions.
COMPREHENSIVE BENEFITS & PERKS
Work Flexibility & Autonomy
- Fully remote position—work from anywhere in the world with reliable internet connectivity
- Complete autonomy and trust to manage your work—we care about outcomes and impact over activity metrics or hours logged
- Asynchronous collaboration tools and processes that respect your time zone and optimal working hours
- Freedom to structure your day in ways that maximize your productivity and deep work time
Generous Time Off & Work-Life Integration
- 35 days of paid time off annually for all employees to recharge, pursue hobbies, travel, and maintain sustainable work-life balance
- Paid sabbatical opportunity after 5 years of service for extended personal growth, learning, travel, or complete rejuvenation
- Parental leave programs for parents expanding their families or just starting one, supporting you through major life transitions
- No expectation to work or respond during your time off—we genuinely value rest, disconnection, and personal time
Financial & Professional Development
- Generous U.S.-benchmarked compensation and meaningful startup equity no matter where you are in the world, ensuring global pay equity
- Annual compensation reviews with increase potential based on performance, contribution, and business impact
- Annual bonus potential for roles that don't already receive variable income or commission
- Learning & development stipend to help you level up your technical and professional skills through courses, conferences, certifications, books, or coaching
- Access to cutting-edge tools, technologies, and platforms to excel in your role
Health & Wellness Support
- Awesome medical coverage with 100% premium coverage for you and your family, or medical reimbursement options where applicable based on your location
- Comprehensive health benefits designed to support your physical and mental wellbeing
- Home office stipend to help you create an optimal remote work environment with proper technology, ergonomic furniture, monitors, and professional setup
Company Culture & Connection
- Company retreats twice annually—the Circle team gets together for fully paid company retreats in incredible places around the world! We've hosted past retreats in Colombia, Portugal, Mexico, Turkey, Thailand, Italy, and Ireland, with more planned on the horizon
- Virtual team events, engineering offsites, and social opportunities to build deep connections across the global team
- Collaborative, innovative culture where your ideas are valued and your technical expertise is respected
- Transparent communication with regular all-hands meetings and accessible leadership
Your specific role, geographic location, and unique circumstances may affect certain benefits offerings.
DIVERSITY, EQUITY & INCLUSION
As a fully remote international company, diversity is fundamentally baked into Circle's DNA and shapes everything we do. Our CEO, Sid Yadav, articulates our hiring mission with clarity and purpose: "Let's find talent in underserved and under-represented corners of the world, set them up to do the best work of their lives, and in turn, change their life."
To achieve this transformative hiring mission, we offer competitive U.S.-benchmarked compensation no matter where someone's located in the world, and we proactively seek candidates who expand representation of backgrounds, cultures, perspectives, and lived experiences in our teams.
We believe diverse perspectives strengthen our technical solutions, enhance our understanding of global markets, improve our decision-making processes, and amplify our positive impact on the diverse communities we serve worldwide.
EQUAL EMPLOYMENT OPPORTUNITY
Circle is an equal opportunity employer committed to building an inclusive workplace where everyone can thrive. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws in any jurisdiction where we operate.
If you require any accommodations during the recruitment process to perform at your best, please let us know at any stage of the process, and we will work with you confidentially and collaboratively to meet your needs and ensure an equitable candidate experience.
PRIVACY & CANDIDATE DATA USAGE
At Circle, we are committed to protecting your personal information throughout the application process and beyond. As a job applicant, the personal data you provide is collected and processed in accordance with the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA).
Information We Collect:
We collect the following categories of personal information from job applicants:
- Contact information (such as name, email address, phone number)
- Employment history and qualifications
- Education history
- References and any other information you choose to share with us during the application process
Purpose of Collection:
We collect this information for the following purposes:
- To assess your qualifications and suitability for the Staff Data & AI Engineer position
- To communicate with you during the recruitment process
- To comply with legal and regulatory obligations
Your Rights Under GDPR and CCPA:
You have the following rights regarding your personal information:
- The right to request access to the personal information we hold about you
- The right to request the deletion of your personal information, subject to certain legal exceptions
- The right to opt out of the sale of your personal information (Note: We do not sell personal information)
For more information about how we handle your personal data or to exercise your rights, please refer to our full Privacy Policy.
By submitting your application, you acknowledge that you have read and understood this privacy notice.
WHY JOIN CIRCLE AS STAFF DATA & AI ENGINEER?
This is a rare opportunity to work at the intersection of cutting-edge AI technology, data engineering excellence, and real revenue impact. You'll build systems that directly influence how Circle scales from $50M to $250M ARR, working with modern tools and technologies on challenging problems that matter.
You'll have unusual autonomy to architect solutions, experiment with emerging AI technologies, and see your work drive measurable business outcomes. You'll collaborate with talented sales, RevOps, and engineering teams who value your expertise and depend on your contributions.
If you're passionate about building elegant technical solutions, excited about AI's potential to augment human capabilities, and energized by seeing your work drive revenue growth, this role offers the perfect combination of technical challenge and business impact.
Ready to join Circle? Apply now for the Staff Data & AI Engineer position and help build the future of revenue intelligence.
Check out our Careers page at https://circle.so/careers for more about working at Circle.
Circle is committed to creating an inclusive, equitable workplace where everyone can thrive. We encourage applications from candidates of all backgrounds and experiences.
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