We’re looking for an Engineering Manager to join PitchBook’s DataTech organization.

PitchBook is a leading financial data and software company supporting private and public equity markets. We deliver comprehensive, reliable, and actionable data, research, and insights that help investment professionals make informed decisions.

As an Engineering Manager in DataTech, you’ll be responsible for delivery outcomes and engineering health across multiple teams. You’ll build and grow strong engineering teams, support them through change, and partner closely with product and platform stakeholders to deliver services relied on by thousands of PitchBook customers.

You’ll work with experienced engineers and product managers to improve automation, performance, scalability, and operational excellence—while keeping a strong focus on long-term quality and maintainability.

• Teams:
• Team 1: Lead, 8 Backend, 2 Frontend, 1 SDET
• Team 2: Lead, 5 Backend, 2 Frontend, 2 SDET
• Tech stack: Java 21, Kubernetes / GitOps, Spring Boot, OpenAPI, PostgreSQL, Kafka, Redis
• Work environment: Flexible hours with required attendance at team meetings
• Collaboration: Close partnership with Product, Data Operations, and Platform teams

• Be accountable for velocity, quality, reliability, scalability, and overall engineering capabilities for DataTech stream-aligned teams
• Ensure engineering initiatives align with DataTech strategy and the product roadmap

• Manage engineers and SDE Leads through coaching, feedback, growth planning, performance management, and compensation input
• Build and evolve teams: hiring, onboarding, shaping the skill/seniority mix, and handling transitions when needed
• Maintain healthy team dynamics and address people challenges early

• Own short- and long-term capacity and capability planning
• Allocate people across initiatives based on priorities and constraints
• Identify delivery risks and drive mitigation via hiring, reprioritization, or internal rebalancing

• Ensure teams execute effectively across the SDLC: refinement, design, estimation, implementation, testing, deployment, and support
• Uphold engineering standards and non-functional requirements
• Partner with SDE Leads on architecture and solution design; involve Architecture/Platform/SRE when needed
• Improve SDLC efficiency by integrating Generative AI tooling where it adds value

• Be ultimately responsible for the stability, performance, and quality of the services your teams own
• Drive observability improvements, SLIs/SLOs adoption, and incident reduction
• Strengthen operational excellence and technical health over time

• Evolve engineering practices: code review, CI/CD, testing strategy, incident response, and continuous improvement
• Partner with Product, Data, and other domains to align plans and manage dependencies
• Contribute to domain-level planning and cross-team collaboration with senior engineering leadership

• Proven engineering leadership experience managing multiple software/data engineering teams (Engineering Manager or equivalent)
• Strong people management skills: coaching, performance management, conflict resolution, scaling teams
• Track record of delivery in agile, product-led environments, including capacity planning and prioritization
• Clear communication with both technical and non-technical stakeholders
• Ownership mindset: focus on long-term maintainability and quality, not only short-term delivery

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

• Impactful work on a product used by investment professionals worldwide
• Flexible working hours and a remote-friendly environment
• Growth opportunities through regular feedback, development support, and learning resources
• A collaborative engineering culture with strong cross-team partnership

Please, send your CV with Java, JS and Engineering management experience + telegram link :)