Senior Manager, Machine Learning Engineering - Communication & Connectivity
J
JobgetherAI, Machine Learning
Remote within eligible U.S. statesFull-TimeManager
Salary$248,000 to $310,000 USD
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Job Details
- Experience
- 12+ years of software engineering experience, including at least 5 years leading engineering teams
- Required Skills
- Artificial IntelligenceMachine LearningData engineeringStakeholder managementSoftware Engineering
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.
Responsibilities
- 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.
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