Engineering Manager, Applied AI & Machine Learning Engineering

SPD Technology is a global software product development company specializing in fintech, digital payments, data engineering, AI/ML, and cloud computing. Founded in 2006, the company has delivered over 460 custom projects for startups, SMBs, and enterprises worldwide, including partnerships with clients generating over $4B in annual revenue. SPD Technology's portfolio includes AI-driven capital markets insights platforms, advanced medical device simulators, and high-volume data analytics systems. The company employs over 650 engineers across 35 countries with a focus on high-performance and custom tech solutions.

• 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

• 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