[Hiring] Engineering Manager, Applied AI & Machine Learning Engineering @SPD Technology

Role Description

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.
• 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, including:
• Gathering feedback.
• Coaching employees.
• Creating development plans.
• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.
• 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.
• 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 recruiter.
• EM & HRBP Interview.
• Technical Interview.
• Final client Interview.