[Hiring] Engineering Manager @SPD Technology

Role Description

As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution, and predictability.

• Own delivery and engineering outcomes for DataTech teams
• Be accountable for delivery, velocity, quality, reliability, and scalability
• Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems, and drive improvements
• Ensure strong SDLC execution and technical quality
• Ensure teams execute effectively across refinement, design, estimation, implementation, testing, and deployment
• Identify execution gaps and work with SDE Leads to improve how delivery works
• Invest in improving an AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices
• Plan and manage capacity
• Own short- and long-term capacity and capability planning
• Allocate people in line with DataTech priorities and delivery commitments
• Surface capacity and delivery risks and drive mitigation
• Own product quality, reliability, and operations
• Be accountable for stability, reliability, performance, and overall quality
• Ensure effective platform-wide customer support, incident management, observability, and other operational processes
• Balance delivery with technical health and operational needs
• Lead and grow engineers and SDE Leads
• Manage engineers and SDE Leads through coaching, feedback, growth, and performance management
• Build and evolve teams through hiring, onboarding, and shaping the right skill mix
• Maintain healthy team dynamics and address people issues early
• Strengthen ways of working and collaboration
• Improve engineering practices where they help teams deliver more effectively
• Partner with Product, Data, and other domains to align plans and manage dependencies
• Contribute to domain-level planning and cross-team collaboration

Qualifications

• Proven engineering leadership experience managing multiple software/data engineering teams
• Strong track record of delivery, including improving planning, prioritization, and execution
• Ability to use delivery data, visualization, and reporting to identify problems and drive improvements
• Strong people-management skills: coaching, performance management, and team development
• Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD
• Clear communication and collaboration skills with technical and non-technical stakeholders
• Ownership mindset: accountable for delivery as well as long-term quality and maintainability
• Excellent written and verbal communication skills in English

Bonus Points

• Experience in DataTech-like domains (data ingestion, processing, curation)
• Familiarity with Stream-Aligned Teams / Team Topologies
• Experience working with Architecture, Platform, SRE, and other enabling teams
• Experience improving observability, reliability, and incident management for backend/data services

Benefits

• Reveal great tech solutions
• Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth
• Experience an agile and flexible working environment with fully remote work and a flexible working schedule
• Empower yourself with a stable workload and income, supported by provided laptops and licensed software
• Benefit from performance and merit reviews, personal development plans, and individual learnings through the corporate library
• Work with a team of like-minded individuals who care about their work and support each other
• Participate in company-wide tech and cultural events, and contribute to meaningful CSR initiatives

Interview Steps

• Pre-Screening with the recruiter
• Manager screening
• Tech Interview
• Architecture interview
• HRBP Interview
• Client Interview