Engineering Manager, Protocol Indexing (Remote - North America)

This position is posted by Jobgether on behalf of Figment. We are currently looking for an Engineering Manager, Protocol Indexing in North America.

In this role, you will lead a specialized engineering team responsible for building scalable and reliable blockchain indexing pipelines that power critical data, analytics, and staking services. You’ll balance technical direction with people leadership, guiding engineers through architectural decisions, execution strategies, and professional growth. By collaborating closely with cross-functional teams such as Product, Data Science, and Analytics, you will ensure indexing solutions deliver measurable business impact while maintaining scalability, security, and observability. This is a high-impact opportunity to influence the growth of Web3 infrastructure while shaping an inclusive, collaborative engineering culture.

Accountabilities

As an Engineering Manager, you will:

• Lead and mentor a team of software and data engineers through regular feedback, coaching, and career development.
• Define the architecture for protocol indexers and data pipelines using Python and Go, ensuring scalability, observability, and cost efficiency.
• Oversee technical execution across new protocol coverage, system improvements, and maintenance while driving measurable outcomes.
• Partner with Product, Data Science, and other stakeholders to prioritize high-impact indexing work and align on data contracts, schemas, and SLAs.
• Advocate for platform investments such as refactoring, tooling, CI/CD improvements, and data quality frameworks.
• Monitor and improve delivery metrics like freshness, accuracy, coverage, and cycle time.
• Foster a culture of psychological safety, transparency, and continuous improvement within the team.

To succeed in this role, you should bring:

• 5+ years of experience in software or data engineering, with ownership of production data systems in cloud environments.
• At least 2 years managing engineers, with proven outcomes in hiring, performance management, and career growth.
• Hands-on ability to review production code in Python or Go and provide technical direction.
• Strong knowledge of data modeling, quality frameworks, and warehouse technologies such as Snowflake or BigQuery.
• Experience collaborating across Product and Analytics teams to define data contracts and SLAs.
• Excellent communication, leadership, and problem-solving skills, with a customer and product-focused mindset.
• Nice-to-haves include blockchain/Web3 knowledge, experience with distributed remote teams, and observability practices at the data and service layers.

This role comes with a competitive package and comprehensive benefits:

• Base salary: USD $165,000 – $190,000 (or CAD equivalent).
• 100% remote-first environment, with optional access to co-working hubs in Toronto, New York, London, and Singapore.
• 4 weeks of PTO from day one, plus 1 additional week of flex days.
• Extended health benefits starting immediately, plus best-in-class parental leave.
• Company-matched 401K (US) or RRSP (Canada).
• Stock options and a bi-annual performance-based bonus program.
• Home office stipend, monthly WiFi reimbursement, and annual learning & development budget.
• Opportunities for career growth in a global, high-impact Web3 environment.
• Annual company-wide retreats and gatherings for collaboration and team building.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.

Thank you for your interest!

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