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Sr. Manager of AI​/ML & Sensors; eXpedite

Job in Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: Evolv Technologies, Inc.
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 187000 - 243000 USD Yearly USD 187000.00 243000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Manager of AI/ ML & Sensors (eXpedite)

Senior Manager, AI/Machine Learning & Sensors

The Elevator Pitch

Join Evolv as Senior Manager of AI/Machine Learning & Sensors for Expedite, our X-ray screening product. You will lead a multidisciplinary team of scientists and engineers developing state-of-the-art computer vision and deep learning solutions for X-ray imaging that operate in real-time on constrained hardware platforms. This role blends deep technical expertise—on par with our most senior individual contributors—with strong people leadership, stakeholder management, and project management skills.

You will own delivery of the Expedite ML roadmap end-to-end: setting technical direction, running execution, developing your team, and representing the program in stakeholder and executive forums. Your leadership will push the boundaries of AI-powered physical security screening and ensure Evolv remains at the forefront of technological advancements in the industry.

Success in the Role:
What are performance outcomes over the first 6-12 months you will work toward completing?

In the first 30 days, you will:

  • Explore Evolv's sensors, algorithms, and development processes, with a focus on the Expedite X-ray product architecture and data pipeline.
  • Meet 1:1 with every member of the Expedite team of scientists and engineers to understand strengths, development goals, and current work streams.
  • Work to understand real-time processing, hardware limitations, and environmental constraints for X-ray screening in the Evolv product portfolio.
  • Review the existing Expedite roadmap, model performance metrics, and delivery processes, and identify areas for improvement and deliver key milestones
  • Build a stakeholder map across product, hardware, software engineering, regulatory, and customer-facing teams.

Within the First Three Months:

  • Establish a predictable execution cadence for the Expedite team, including sprint planning, milestone tracking, and risk management.
  • Own and run recurring stakeholder meetings, providing clear status, trade-offs, and decision recommendations to product and executive stakeholders.
  • Work with the product team to gather requirements and translate these into derived requirements that guide and inform ML development efforts.
  • Provide hands-on technical guidance on X-ray computer vision and deep learning approaches, including model architecture and evaluation decisions.
  • Assess team structure and skills against the roadmap and propose a hiring and development plan.

By the End of the First Year:

  • Deliver the major Expedite ML roadmap milestones on schedule, with production models deployed at the edge on resource-constrained hardware.
  • Build a high-performing, engaged team of scientists and engineers with clear career development paths, and successfully hire to plan.
  • Effectively communicate with senior leadership to provide insights that shape strategic decisions for the Expedite product line.
  • Execute the company's X-ray and sensor-driven AI strategy, aligning it with business objectives to drive growth and innovation.
The Work:
What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis?

People Leadership & Team Management:

  • Manage, mentor, and grow a team of ML scientists and engineers working on the Expedite X-ray product.
  • Set clear goals and expectations, run regular 1:1s, deliver feedback, and own performance and career development for the team.
  • Recruit, interview, and onboard top ML and engineering talent.
  • Drive an innovation culture while maintaining a practical, delivery-oriented focus.

Project & Stakeholder Management:

  • Own project planning and execution for Expedite ML work streams: scoping, scheduling, resourcing, risk management, and delivery.
  • Prepare and lead stakeholder meetings with product, hardware, software engineering, regulatory, and executive audiences, communicating status, trade-offs, and recommendations clearly.
  • Coordinate cross-functional dependencies with product, hardware, software engineering, and SQA to integrate ML solutions into the Expedite platform.
  • Enable rapid development through prioritization, planning, and automation.
  • Engage in customer demonstrations and proof-of-concept exercises to quickly gather feedback and incorporate it into an iterative design and development process.

Technical Leadership:

  • Set technical direction for X-ray computer vision and modern machine learning initiatives, including detection architectures and advanced AI/ML infrastructure and models to scale to current and future…
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