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About the Role
Float's Intelligence team is building the AI layer that makes resource management smarter, requiring production-grade and ML-ready data pipelines. You will build and own these pipelines, maintain the data warehouse, and contribute to an event-driven architecture. You will work asynchronously with a global team, focusing on creating simple and intuitive solutions for customers.
Responsibilities
- Take end-to-end ownership of the data pipelines that power NextGen and other Intelligence team features.
- Contribute to AI features in production by building the necessary data infrastructure.
- Ensure pipelines and data infrastructure are reliable and well-documented.
- Play a key role in introducing event streaming (Kafka/Debezium) into the stack.
- Contribute to architectural decisions and their implementation for event streaming.
- Develop familiarity with Timefold and Float's scheduling domain.
- Improve workflows beyond the Intelligence team through pipeline and infrastructure enhancements.
Requirements
- Shipped at least one ML or AI feature that customers use and have supported it post-launch.
- Experience investigating pipeline issues using evidence such as lineage, logs, and data samples.
- Understanding of ELT/ETL, orchestration, backfills, and data quality.
- Built pipelines and models that feed customer-facing features.
- Written and maintained production-level TypeScript codebases.
- Comfortable with type systems and debugging in TypeScript.
- Proficient in complex analytical SQL, with an understanding of warehouse cost and performance.
- Experience with software engineering practices including design, testing, and code reviews.
- Productively use AI coding tools while maintaining ownership of the output quality.
- Document work as part of the process and produce self-standing written documentation.
- Familiarity with dbt and a cloud warehouse (BigQuery or Snowflake).
- Comfortable with asynchronous communication as the default.
- Previous remote work experience.
- Comfortable using tools like Slack, Loom, and Linear for communication.
Skills
- Applied ML/AI in production
- Pipeline ownership and debugging
- Feature delivery
- TypeScript/Node.js
- SQL and databases
- Software engineering practices
- Documentation and written communication
- Warehouse modelling
- Optimization and scheduling (Timefold, OR-Tools)
Location
- Remote (global)
Work Type
- Permanent - Full Time
- Remote
Experience Level
- Senior
- Staff
Salary/Compensations
- $174,893 / year
Benefits
- Perks & benefits outlined in the public Float Handbook
About the Company
- Float's Intelligence team is building the AI layer that makes resource management smarter.
- We are a global async remote company with a diverse team.
- We believe deeply in transparency and share our Float Handbook publicly.
Equal Opportunity
- Industry research shows that women and those in traditionally underrepresented groups are less likely to apply to jobs unless they check all the boxes for the role. If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes, that’s okay! We encourage you to apply anyway and highlight what you can bring to the table.