Super.com
Super.com
201 – 500 Employees
FintechMarketingTravel
Super.com is a web-based company associated with the travel, fintech, and marketing sectors. The available company information does not provide further detail about its products, services, target customers, team, or current hiring activity.

Engineering Manager, Data — Finance Automation

Lead Super.com’s finance data automation team, overseeing engineers and systems that support accounting, reporting, and month-end close. The role combines team leadership and technical ownership of financial data pipelines.

Description

  • Lead Finance Automation in the Data Engineering team
  • Manage a full-stack team of five or more data or analytics engineers
  • Continue building the team and participate in hiring
  • Lead high-impact transformation projects from start to finish in an iterative, data-driven startup environment
  • Set the team’s technical roadmap
  • Contribute to product roadmap and OKR discussions
  • Guide agile engineering practices
  • Support continuous improvement and team development through oversight and mentorship
  • Align team members’ projects with their interests, experience, and business impact
  • Create concrete opportunities for team members to grow
  • Maintain release quality and cadence through code reviews, end-to-end testing, and sustainable development practices
  • Write key design documents and contribute directly to complex components, features, or services when appropriate
  • Own financial data systems for the general ledger, sales tax filing, and month-end close, including dbt models, pipelines, and NetSuite integrations

Requirements

  • At least five years of experience as a data or analytics engineer, including at least two years leading people
  • At least five years building production data pipelines and warehouse models
  • Strong SQL skills and working proficiency with dbt
  • Ability to review data models and identify grain, fan-out, and testing gaps
  • Experience owning financial data used by Accounting, including general ledger feeds, month-end close, reconciliation, audit support, and payment processing
  • Experience designing and implementing well-architected solutions to complex, large-scale data engineering challenges
  • Deep experience in database design and data warehouse modeling
  • Experience with scheduling and orchestration
  • Track record of turning ambiguous stakeholder requests into scoped, estimated plans and pushing back when capacity is limited
  • Clear communication with accountants and engineers

Benefits

  • Remote-first flexibility to work from anywhere in the world and choose suitable hours
  • Unlimited paid time off
  • Company-wide recharge days
  • Annual team offsites
  • Weekly Uber Eats credits
  • Discounts on SuperTravel
  • Generous parental leave
  • Flexible return-to-work plan
  • Equity options
  • Annual bonus
  • Retirement matching
  • Full benefits from the first day
  • Wellness budgets
  • Personal development funds
  • Team learning resources

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