Responsibilities
- Design and implement the architecture for capturing, structuring, processing, storing, and querying operational and financial data across the platform.
- Develop event-driven systems, data pipelines, and analytical databases, including technologies like ClickHouse, to support scalable data infrastructure.
- Build AI agents and smart workflows that leverage internal data to detect issues, answer queries, assist decision-making, and automate customer workflows.
- Ensure data and AI systems are production-grade, with strong observability, security, fault tolerance, and cost efficiency.
- Implement safeguards for data integrity, access control, model uncertainty, and human-in-the-loop review processes.
- Establish evaluation frameworks and feedback mechanisms to assess system accuracy, reliability, latency, cost, and business outcomes.
- Collaborate with cross-functional teams including leadership, product, engineering, and customer support to identify high-value problems and deliver effective solutions.
Benefits
- Competitive salary and equity package
- Comprehensive health, dental, and vision coverage
- Flexible paid time off policy
- High-visibility position with strategic importance
- Direct input into the direction of AI and data initiatives
- Opportunity to shape both foundational systems and end-user products
Compensation
Competitive compensation and equity
Work Arrangement
Hybrid — Chicago
Team
Work closely with leadership and cross-functional teams to drive data and AI innovation from concept to production.
Other
- This role offers a rare chance to shape how data and artificial intelligence are integrated and utilized within an expanding SaaS product.
- Candidates from diverse backgrounds and experience levels are strongly encouraged to apply.
- The company is committed to equal opportunity employment and fosters an inclusive hiring environment.
Not specified
