Senior Engineering Manager- AI/ML

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager – AI/ML in the United States. This role offers a unique opportunity to lead advanced AI and machine learning initiatives that deliver meaningful impact at scale. As a Senior Engineering Manager, you will guide a team of experienced ML engineers in building innovative, scalable systems designed to improve health outcomes and support millions of users. You will play a key role in shaping technical strategy, aligning engineering initiatives with long-term business objectives, and fostering a culture of engineering excellence. Working closely with cross-functional partners—including product leaders, data scientists, and healthcare experts—you will translate complex challenges into impactful technology solutions. This role is ideal for a highly technical leader who thrives in fast-moving environments and is passionate about using AI/ML to drive real-world change.
• Accountabilities Lead and grow a high-performing team of machine learning engineers by recruiting, mentoring, and supporting their professional development. Provide strong technical leadership, guiding the design and implementation of scalable AI/ML solutions and engineering architectures. Develop and execute technical roadmaps that align AI/ML initiatives with broader business goals and strategic priorities. Oversee the delivery of complex engineering projects, ensuring reliability, scalability, security, and performance across systems. Collaborate closely with cross-functional teams including product managers, designers, data scientists, and other engineering leaders to deliver impactful solutions. Establish ambitious but achievable goals for the team and remove obstacles to ensure successful project execution. Promote engineering excellence by improving development processes, tools, and operational practices. Translate business requirements into clear technical plans while communicating progress and outcomes to both technical and non-technical stakeholders. Foster a culture of innovation, continuous learning, and experimentation with emerging AI/ML technologies. Requirements Bachelor’s degree (or higher) in Computer Science, Engineering, or a related technical field. 10+ years of experience developing production-grade, scalable software systems in engineering or technical leadership roles. 5+ years of experience managing engineering teams, including hiring, mentoring, and performance management. Strong technical background in machine learning technologies, including at least 7+ years of experience working with ML systems, preferably using Python. Expertise in designing and deploying secure, scalable AI/ML platform architectures and production ML systems. Experience with distributed systems, microservices architecture, containerization technologies (e.g., Docker, Kubernetes), orchestration tools, and MLOps practices. Proven ability to translate business strategy into technical roadmaps and communicate effectively with diverse stakeholders. Strong leadership and collaboration skills with experience aligning teams across engineering, product, and research functions. Familiarity with current AI/ML research trends and the ability to translate new innovations into practical applications. Demonstrated ability to mentor engineering talent and build strong, engaged teams. Data-driven mindset with the ability to use metrics and insights to guide engineering decisions and prioritize initiatives. Experience working in fast-paced or startup environments is considered a strong advantage. Benefits Competitive salary and comprehensive benefits package Opportunities to work on cutting-edge AI/ML technologies with meaningful real-world impact Collaborative and mission-driven work environment Professional growth opportunities and leadership development Flexible work environment supporting remote collaboration Exposure to cross-functional teams and innovative healthcare technology initiatives Access to modern tools and resources to support engineering excellence
• Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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