Senior Engineering Manager

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

And now we are looking for a Senior Engineering Manager to join us as part of our team.

About the role

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.

As a member of the Product and Engineering team at PitchBook, you will be part of a group of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

As a Senior Engineering Manager in the Technology & Engineering division, you will be responsible for managing and growing several self-organized engineering teams, driving delivery excellence, and representing development direction at a strategic level. You will collaborate closely with engineering leads, product managers, and senior stakeholders to ensure alignment, performance, and team success.

Tech Stack: Java, Python, TS/JS/React, GCP, Vertex AI, AWS, Bedrock etc

Team setup: 2-5 teams

Work Environment: flexible

As a qualified expert You will

• Manage and grow multiple engineering teams and their leaders within a business unit or product area.
• Cultivate technical excellence and a culture of continuous learning across teams.
• Participate in and supervise discussions on key technical decisions, delivery expectations, and people allocation.
• Represent the development direction at the strategic (VP) level, including plans, results, metrics, and capabilities.
• Drive AI tool adoption to improve team efficiency and delivery speed.
• Encourage learning through AI-assisted development and automation.
• Coach teams on best practices for software delivery, estimation, stakeholder communication, and continuous improvement.
• Ensure clear goals, priorities, and resource allocation while maintaining technical excellence and innovation.
• Foster a culture of trust, transparency, collaboration, and constructive feedback.
• Maintain high morale and motivation, especially during challenging circumstances.
• Balance business, team, and individual needs through effective communication and decision-making.
• Recognize team achievements and help teams learn from challenges or failures.
• Manage staffing, including hiring new team members aligned with company values and culture.
• Monitor and assess team performance, conduct performance reviews, and ensure fair compensation processes.
• Support the adoption of DevOps practices and modern engineering methodologies.

We’re looking for you if you have

• Mature understanding of the manager’s role, with a strong product- and results-oriented mindset, demonstrating strong ownership and focus on delivering outcomes.
• 7+ years of hands-on experience in software development, primarily with the Java stack.
• 3+ years of experience managing one or more engineering teams (25+ individuals) in a modern software development environment.
• Strong understanding of modern software development processes, frameworks, and their practical trade-offs.
• Knowledge of contemporary software engineering technologies and their applications to real-world problems.
• Understanding of AI tools, prompting, and workflow automation in software engineering.
• Ability to assess AI outputs and apply them to improve efficiency and quality.
• Familiarity with DevOps culture and practices.
• Strong interpersonal skills combining empathy, business acumen, and the ability to set expectations and …