Bitstack

Chief of Staff

• Own execution of high-priority strategic initiatives
• Lead or support key company-wide projects that require coordination across multiple teams
• Turn complex, ambiguous problems into clear workstreams, timelines, and decisions
• Drive follow-through and accountability
• Support the leadership team in staying focused on the highest-impact work
• Act as a connective layer across Product, Engineering, Compliance, Finance, Growth, and Leadership

Engineering Manager

• Own execution of the engineering strategy
• Partner closely with the CTO and cross-functional leaders to translate company priorities into clear plans and delivery outcomes.
• Lead and support multiple engineering teams
• Provide leadership across squads, ensuring teams are aligned, unblocked, and consistently delivering meaningful business impact.
• Build high-performing teams through hiring and coaching
• Recruit, onboard, and retain top engineering talent, while developing engineers and managers through feedback, mentorship, and career support.
• Create clarity, structure, and accountability
• Help teams navigate ambiguity, set goals, define success metrics, and improve predictability of delivery.
• Drive engineering excellence and pragmatic technical decision-making
• Support technical direction, guide trade-offs, and ensure teams build scalable and maintainable systems.
• Strengthen collaboration across Product, Design, and Data
• Foster strong partnerships across functions to ensure smooth execution and shared ownership of outcomes.
• Champion culture and ways of working
• Promote psychological safety, continuous improvement, and an environment where engineers can do their best work.

Senior Engineering Manager

Data Analyst

• Build the single source of truth: Own and maintain core data models using SQL/dbt
• Empower the team with self-serve analytics: Maintain and expand Metabase instance
• Support key business decisions: Analyze feature usage and monitor fraud patterns
• Improve Data Discovery: Implement tools for easy data finding
• Deep-dive analysis: Conduct exploratory analysis to uncover growth opportunities
• Drive data culture: Educate the team on data best practices