Engineering Manager, Lime Vision

As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me . We are seeking an Engineering Manager, Computer Vision to lead a team responsible for developing and deploying advanced computer vision and machine learning solutions that power intelligent, real-world systems. In this role, you will combine strong technical leadership with exceptional people management, guiding engineers through the full lifecycle of perception systems, from concept and development to large-scale production deployment. You will drive technical strategy, execution, organizational growth and business impact across computer vision initiatives, partnering closely with Product, Hardware, Firmware, Data, and Platform Engineering teams. You will be accountable for defining the long-term vision for your domain, aligning investments with company objectives and ensuring

the team delivers measurable outcomes through scalable, reliable and innovative solutions. This is a remote position with a requirement for candidates to reside in the United States to maintain effective collaboration across teams.

What You'll Do: Team Leadership & Development Lead, mentor and develop a high-performing team of computer vision and machine learning engineers. Foster a culture of technical excellence, accountability, collaboration, and continuous learning. Support career development, performance management, and hiring to build and retain top talent. Strategy & Business Impact Own the business outcomes of the Computer Vision team and align technical investments with company objectives. Define and execute the long-term vision, strategy, and roadmap for computer vision capabilities. Partner with Product and stakeholders to prioritize initiatives, establish success metrics, and drive measurable impact. Technical Leadership & Execution Drive architecture, system design, and technical direction for scalable, reliable computer vision and machine learning solutions. Lead technical reviews, guide engineering best practices, and ensure high-quality execution. Oversee the end-to-end ML lifecycle, including model development, deployment, monitoring, and continuous improvement. Partner with Hardware and Firmware teams to optimize solutions for embedded and edge computing platforms. Remain technically engaged and contribute to design, debugging, and development efforts when needed. Operational Excellence Establish high engineering standards through code reviews, design reviews, testing, and operational best practices. Lead incident response, root cause analysis, and reliability improvements for production systems. Participate in and oversee on-call operations to ensure system reliability and service availability. About You: Leadership 3+ years of experience leading and developing engineering teams. Proven ability to build high-performing teams and drive execution through effective prioritization, delegation, and stakeholder management. Technical Expertise & Leadership 8+ years of experience in Computer Vision, Machine Learning, Artificial Intelligence, or related fields, with a proven track record of delivering production-grade systems. Strong technical depth in computer vision, machine learning, system design, and software engineering. Experience driving technical strategy, architecture, and business outcomes across cross-functional teams. Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices. Education Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field required. Master’s degree or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Robotics, or a related discipline preferred. U.S. Based Position - What We Offer: Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company-paid life and disability insurance and company-funded mental health

benefits. Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution. Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming

benefits. Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays. Unique Lime

Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to

perks including One Medical, Wellhub, and Headspace. The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total

compensation package may also include discretionary annual performance

bonus opportunities and equity, subject to applicable plan terms and eligibility

requirements. Lime considers all qualified applicants for employment, including those with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and all other applicable federal, state, and local laws. #LI-PP1 #LI-Remote If you want to make an impact, Lime is the place for you. Not sure if you meet all the

qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email [email protected] for assistance.