Engineering Manager, Figment

• We're seeking an experienced Engineering Manager to lead Figment’s protocol indexing team
• 5+ years in software or data engineering, including ownership of production data systems in cloud environments
• 2+ years managing engineers (ICs), with proven hiring, performance management, and growth outcomes
• Hands-on enough to review production code in Python or Go and set technical direction
• Fluency with data modeling, data quality frameworks, and warehouse technologies (e.g., Snowflake/BigQuery)
• Strong cross-functional collaboration with Product and Analytics to define data contracts and SLAs

Desirable

• You’ll manage software and data engineers who research blockchain protocols and build scalable, reliable indexing pipelines that power analytics, reporting, and staking services
• As an engineering leader within our product engineering organization, you'll support your team through technical direction, career development, and execution oversight while creating a culture of engineering excellence and continuous improvement
• Lead, coach, and grow a team of high-performing engineers through regular 1:1s, direct feedback, and career planning
• Support the professional growth of your team members, helping them develop both technical and soft skills
• Own the architecture for protocol indexers and data pipelines in Python and Go
• Design for scalability, observability, and cost efficiency; champion testing and reliability
• Define data contracts and schemas with downstream consumers
• Plan for chain-specific realities: reorgs, forks/upgrades, backfills, and catch-up strategies
• Partner with Product, Data Science, and Data Availability teams to prioritize business-impacting indexing work
• Advocate for platform investments (refactors, tooling, CI/CD, data quality) with clear ROI
• Translate roadmap into measurable outcomes
• Own team planning and prioritization across maintenance, improvements, and new protocol coverage
• Apply Kanban principles to visualize work, limit WIP, and manage flow; monitor cycle time and lead time
• Define and meet SLOs for data freshness, accuracy, and coverage
• Drive incident response, postmortems, and preventive improvements
• Foster a psychologically safe team culture rooted in respect, transparency, and curiosity
• Facilitate effective communication within the team and with cross-functional stakeholders; remove ambiguity quickly
• Continuously improve by running effective retrospectives
• In addition to collaborating with your Data Engineering teammates, you'll work closely with:
• Data Availability – Coordinating on protocol research, data ingestion, and reliability
• Data Science & Analytics – Building systems that enable advanced analytics and business intelligence
• Product Engineering – Integrating data needs across our Apps, APIs, and rewards reporting

• During your first Recruiter Call, you will be provided with more information about Figment, the position and what to expect for the rest of the interview process. Please be prepared to discuss why you are interested in joining Figment and what excites you about the position and company
• As we go through the process, we work to make sure that you hear back from us in a timely fashion. If we decide at any point that we’re unfortunately not moving forward, we will give you feedback on why it was not a fit
• We aim for the entire process to take around 2-4 weeks from initial screen to offer. There can be exceptions on either side of the bell curve here, but as a rule, that’s the time-frame you can expect