Engineering Manager, Applied AI & Machine Learning Engineering

About the Position

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 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 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.

Our Tech Stack & Focus Areas

• Generative AI & LLMs: Develop and maintain LLM-based solutions for generative features.
• Classic ML Models: Develop and maintain predictive and classification models for financial data.
• Vector Databases: Implementing efficient storage and retrieval systems for high-dimensional data embeddings.
• Embeddings: Developing hybrid models to extract insights from diverse data sources.
• High-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.

Responsibilities

• Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitments.
• Partner with project and technical leads to create realistic delivery plans, milestones, and staffing models.
• Maintain a clear view of project progress, dependencies, risks, and resource constraints.
• Help resolve delivery blockers, priority conflicts, and cross-team dependencies.
• Facilitate quarterly and ongoing planning across MLEs and MLOps teams.
• Provide clear delivery and staffing updates to functional managers and other stakeholders.
• Manage and coach engineers through regular one-to-one meetings and career discussions.
• Gather and synthesize feedback from project leads, technical leads, and cross-functional partners.
• Create development plans and support performance, promotion, and compensation review processes.
• Identify team capability gaps and contribute to hiring, onboarding, retention, and workforce planning.
• Foster an inclusive, collaborative, and high-performing team environment.
• Apply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability.

Requirements

• At least three years of experience in software engineering, AI/ML, or a related field.
• At least three years of experience in people management, engineering management, or technical program leadership.
• Working knowledge of AI/ML modeling, systems, and the development lifecycle.
• Experience managing multiple technical projects with shared resources and cross-team dependencies.
• Strong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communication.
• Experience supporting the performance and career development of technical employees.
• Ability to understand technical discussions and work effectively with MLE and MLOps teams.
• Experience working with distributed or geographically dispersed teams.
• English - Upper Intermediate or higher; Ukrainian - fluent.

Nice to Have

• Experience managing or supporting MLE and MLOps teams.
• Experience working in a matrix organization with separate people, project, product, and technical leadership roles.
• Experience with planning or allocating engineers across multiple projects.
• Familiarity with production ML, generative AI, semantic search, summarization, prediction, or similar capabilities.
• Familiarity with technologies such as Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platforms.
• Experience conducting performance reviews and building employee development plans.
• Experience working with staffing partners, contractors, or blended internal and external teams.
• Experience in fintech, SaaS, market data, or another data-intensive industry.

We Offer

• Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth.
• Experience an agile and flexible working environment.
• Embrace the opportunity for personal and professional growth.
• Feel cared about among like-minded people with collaboration, open communication, and mutual respect.

Interview Steps

1. Interview with the recruiter.
2. EM & HRBP Interview.
3. Technical Interview.
4. Final client Interview.

Bohdan Hnatiuk

Senior Talent Acquisition Specialist

Work Type

Remote

Category

Engineering

Location

Germany, Poland, Portugal, Romania, Spain, Ukraine

About the Company

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

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