Engineering Manager - Applied AI & Machine Learning

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 Engineering Manager, Applied AI & Machine Learning Engineering to join us as part of our team. About 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 an Engineering Manager, AI/ML, you will support a cross-functional team of MLE and MLOps engineers working across several AI/ML initiatives. Your primary focus will be resource planning, execution, and people management. You will work closely with project leads, technical leads, functional managers, and product partners to ensure projects are appropriately staffed, plans are realistic, risks are visible, and teams can deliver effectively. You will manage capacity and resource allocation across multiple projects, help coordinate dependencies and priorities, and provide stakeholders with a clear view of delivery progress. Project and technical leads will continue to own product direction and technical decisions. You will also support the career growth and performance of team members. This includes gathering feedback, coaching employees, creating development plans, and contributing to performance, promotion, and compensation reviews. You should have enough AI/ML experience to understand the work, communicate effectively with engineers, and identify technical delivery risks. However, this is not expected to be a hands-on engineering or architecture role. Our Tech Stack & Focus Areas Generative AI & LLMs: Develop and maintain LLM-based solutions for generative featuresClassic ML Models: Develop and maintain predictive and classification models for financial dataVector Databases: Implementing efficient storage and retrieval systems for high-dimensional data embeddingsEmbeddings: Developing hybrid models to extract insights from diverse data sourcesHigh-Volume Data Management: Engineering systems capable of handling massive, real-time data streams Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitmentsPartner with project and technical leads to create realistic delivery plans, milestones, and staffing modelsMaintain a clear view of project progress, dependencies, risks, and resource constraintsHelp resolve delivery blockers, priority conflicts, and cross-team dependenciesFacilitate quarterly and ongoing planning across MLEs and MLOps teamsProvide clear delivery and staffing updates to functional managers and other stakeholdersManage and coach engineers through regular one-to-one meetings and career discussionsGather and synthesize feedback from project leads, technical leads, and cross-functional partnersCreate development plans and support performance, promotion, and compensation review processesIdentify team capability gaps and contribute to hiring, onboarding, retention, and workforce planningFoster an inclusive, collaborative, and high-performing team environmentApply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability We're looking for you if you have At least three years of experience in software engineering, AI/ML, or a related fieldAt least three years of experience in people management, engineering management, or technical program leadershipWorking knowledge of AI/ML modeling, systems and the development lifecycleExperience managing multiple technical projects with shared resources and cross-team dependenciesStrong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communicationExperience supporting the performance and career development of technical employeesAbility to understand technical discussions and work effectively with MLE and MLOps teamsExperience working with distributed or geographically dispersed teamsEnglish — Upper Intermediate or higher; Ukrainian — fluent Bonus points Experience managing or supporting MLE and MLOps teamsExperience working in a matrix organization with separate people, project, product, and technical leadership rolesExperience with planning or allocating engineers across multiple projectsFamiliarity with production ML, generative AI, semantic search, summarization, prediction, or similar capabilitiesFamiliarity with technologies such as Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platformsExperience conducting performance reviews and building employee development plansExperience working with staffing partners, contractors, or blended internal and external teamsExperience in fintech, SaaS, market data, or another data-intensive industry Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience An Agile And Flexible Working Environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview Steps: Pre-screening with recruiterEM & HRBP InterviewTechnical Interview Final сlient Interview