Senior Manager, Machine Learning Engineering - Communication & Connectivity

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Machine Learning Engineering - Communication & Connectivity based in the United States.

Join a high-impact engineering organization leading the future of AI-powered communication and connectivity products used by millions of users worldwide. In this leadership role, you will define the long-term machine learning strategy while guiding cross-functional teams across engineering, data, and product. You will oversee the development of scalable AI solutions, modern data platforms, and intelligent systems that directly influence user experience and business outcomes. Working in a collaborative, fast-paced environment, you will partner with senior stakeholders to deliver innovative technologies at enterprise scale. This is an opportunity to mentor high-performing technical teams, shape strategic roadmaps, and drive meaningful innovation through machine learning and data engineering. The position is fully remote within eligible U.S. states, with occasional travel for team gatherings or office collaboration.

Accountabilities:: Define and execute the long-term technical vision for machine learning, artificial intelligence, and data engineering initiatives aligned with business priorities.

Lead and mentor managers and engineers across Machine Learning, Data Engineering, and Software Engineering while fostering technical excellence and career growth.

Collaborate closely with Product, Design, Data Science, and Engineering leadership to prioritize investments, establish roadmaps, and deliver high-impact AI-powered products.

Oversee the design and optimization of scalable machine learning systems, data pipelines, and production-ready AI solutions.

Establish measurable success metrics that connect technical initiatives with business performance and customer impact.

Drive cross-functional collaboration, stakeholder alignment, and iterative execution across multiple strategic programs.

Requirements

12+ years of software engineering experience, including at least 5 years leading engineering teams within fast-paced, high-growth technology environments.

Bachelor's, Master's, or PhD in Computer Science or a related technical discipline.

Proven experience designing, building, and scaling enterprise-grade software platforms with significant business impact.

Strong expertise in machine learning, artificial intelligence technologies, and modern data engineering practices applied to real-world products.

Demonstrated technical leadership with experience defining engineering strategy, leading large-scale initiatives, and collaborating across Product, Engineering, and Data Science organizations.

Excellent communication, stakeholder management, mentoring, and organizational leadership skills.

Ability to balance strategic planning with execution while managing multiple cross-functional priorities.

Benefits

Competitive base salary ranging from $248,000 to $310,000 USD , depending on experience and location.

Eligibility for performance bonuses and equity awards.

Comprehensive healthcare and employee benefits package.

Employee travel credits.

Remote-first opportunity for candidates located in eligible U.S. states.

Occasional opportunities for in-person collaboration through team offsites and office visits.

Inclusive, collaborative work environment with strong support for professional development and career growth.

How Jobgether works: 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