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Super.com is seeking an Engineering Manager for Data to lead the Finance Automation team within Data Engineering. This team owns the financial data infrastructure behind the general ledger, sales tax filing, and month-end close processes—including dbt models, pipelines, and NetSuite syncs that the Accounting department relies on to close the books accurately and on time.
You will report to the Senior Manager, Data Engineering and lead a team of five data and analytics engineers. Super.com is a high-growth fintech company with mature data practices, using Snowflake, dbt, and Amplitude at scale. The company launches new experiments daily and values data-driven decision-making as a core value.
Key responsibilities include:
- Oversee a full-stack team of 5+ data engineers or analytics engineers, including staffing, hiring, and team development
- Lead high-impact transformational projects end-to-end in an iterative, data-driven startup environment
- Shape the technical roadmap for the team, contribute to product roadmap and OKR discussions, and drive agile engineering processes
- Foster a culture of continuous improvement and growth through mentorship, ensuring team members work on projects at the intersection of interest, experience, and business impact
- Drive high release quality and cadence through code reviews, end-to-end testing, and sustainable development practices
- Contribute technically as needed—writing design docs, tackling complex components, and jumping in as an individual contributor when appropriate
The company offers remote-first flexibility (work from anywhere globally with flexible hours), unlimited PTO, company-wide recharge days, annual team offsites, weekly UberEats credits, travel discounts, generous parental leave, competitive salary, equity options, annual bonus, retirement matching, full benefits from day one, wellness budgets, personal development funds, and team-level learning resources.
Requirements:
- 5+ years experience as a data or analytics engineer and at least 2 years experience as a people leader
- 5+ years building production data pipelines and warehouse models, with strong SQL and working dbt proficiency; ability to review models and identify grain, fan-out, and testing gaps
- Experience owning financial data that Accounting depends on: GL feeds, month-end close, reconciliation, audit support, payment processing
- Evidence of designing and implementing logical, well-architected solutions for complex, large-scale data engineering challenges
- Deep experience in database design, warehouse data modeling, scheduling, and orchestration
- Track record of turning ambiguous stakeholder requests into scoped, estimated plans and pushing back when capacity is short
- Clear communication with both accountants and engineers
