Senior Manager, Site Operations

Location: Hagerstown, MD (Onsite)

Ideally based in the Hagerstown / Western Maryland region, or within practical commuting proximity such as Frederick, MD; Martinsburg, WV; Chambersburg / Greencastle, PA; Winchester, VA; or the broader DC / Baltimore outer corridor, with willingness to be onsite daily during deployment, commissioning, and handoff periods.

About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed?  Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality!

Dexterity is seeking a Senior Manager, Site Operations to lead onsite deployment execution for a major customer program in the Hagerstown, Maryland area.

This role serves as the operational leader responsible for coordinating site readiness, installation, commissioning, training, operational handoff, and customer adoption. You will work across Customer Success, Product, Field Engineering, Field Services, Support, Commercial, and customer operations teams to ensure successful deployment and long-term operational success.

Success in this role requires strong technical judgment, disciplined execution, customer-facing leadership, and the ability to translate complex deployment plans into measurable operational outcomes.

This is a highly visible role where your decisions will directly influence deployment quality, customer trust, operational readiness, and Dexterity's ability to scale Physical AI systems in production environments.

Responsibilities

• Maintain an integrated execution plan across site readiness, installation, commissioning, training, support readiness, and operational handoff activities.
• Lead day-to-day coordination with systems integrators, subcontractors, vendors, customer stakeholders, and internal Dexterity teams.
• Drive execution accountability through structured tracking of owners, milestones, blockers, risks, and escalations.
• Review technical documentation including Statements of Work (SOWs), engineering drawings, requirements documents, responsibility matrices, commissioning plans, safety documentation, and acceptance criteria.
• Audit field execution against approved technical requirements and project scope.
• Manage deployment punch lists and drive closure through documented evidence and verification.
• Validate completion evidence including commissioning reports, inspection records, test results, training completion records, customer signoffs, and acceptance documentation.
• Identify and resolve gaps between reported completion status and actual operational readiness.
• Track schedule performance, critical-path dependencies, scope risks, and deployment readiness metrics.
• Escalate issues proactively with clear recommendations and recovery plans.
• Partner with customer operations leaders to support decisions involving workflow design, staffing, throughput objectives, operating windows, and system utilization.
• Capture deployment lessons learned and contribute to continuous improvement of Dexterity deployment methodologies and playbooks.

Qualifications

Required

• 10+ years of experience leading complex technical deployments involving robotics, industrial automation, warehouse automation, material handling systems, infrastructure programs, or related environments.
• Experience operating at a Senior Manager, Site Execution Lead, Technical Program Manager, Deployment Manager, Operations Manager, or similar leadership level.
• Strong technical literacy across robotics, automation, controls, electrical and mechanical systems, industrial equipment, or comparable technologies.
• Ability to interpret engineering drawings, technical specifications, commissioning plans, acceptance criteria, and project documentation.
• Experience managing vendors, systems integrators, contractors, field service providers, and installation teams.
• Proven ability to assess technical readiness and operational readiness independently.
• Strong project execution, risk management, and escalation management skills.
• Excellent communication skills with technical teams, customer stakeholders, site leadership, and executive audiences.
• Demonstrated ability to balance operational objectives, customer needs, safety requirements, and deployment timelines.
• Willingness to be onsite regularly throughout deployment, commissioning, and stabilization activities.

Preferred

• Experience in parcel, logistics, fulfillment, warehouse, distribution center, or high-throughput industrial environments.
• Prior responsibility for day-to-day operational performance in warehouse or industrial settings.
• Experience with robotics systems, PLCs, industrial controls, safety systems, MHE, WMS/WES integrations, commissioning, or site acceptance testing.
• PMP, Industrial Engineering, Systems Engineering, Construction Management, or related certifications.
• Experience supporting go-live readiness, customer acceptance testing, hypercare, or operational stabilization programs.

What Makes You Successful

• Strong execution discipline and accountability.
• Excellent technical judgment and attention to detail.
• Credibility with both operational and technical stakeholders.
• Ability to navigate ambiguity and drive decisions.
• Customer-first mindset with a focus on operational outcomes.
• Structured communication and proactive escalation practices.
• Bias toward action, ownership, and closure

Equal Opportunity Employer

Dexterity is proud to be an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!

About the Role

As a Mech Specialist, you will be the primary engineer to operate our product at the customer site, and be the first point of contact for troubleshooting issues, and providing communication to our development team.  This role bridges hardware, systems integration, and field operations with ownership of diagnostics, repairs, retrofits, and lifecycle service actions.

You’ll lead on-site investigations, coordinate fixes, and interface tightly with our Development team. Success in this role means hands-on operational excellence, a deep understanding of Physical AI systems, and the ability to communicate clearly with both technical teams and operations leaders.

***Expense paid training will be onsite in Redwood City, CA prior to working at client site***

• Location: Customer Facility at Tracy.  If the candidate is located in Redwood City, they can travel on a weekly basis to each remote location.
• This position requires extended deployment to customer locations, with up to 80% of time spent stationed on-site.
• On-site assignments will involve warehouse conditions (temperature variations, industrial noise) and prolonged standing or walks.
• Assignments may span several weeks or months and are intended to minimize frequent travel by establishing a consistent presence at the customer site.

• New Product Introduction: Ensure successful field deployment of new products by driving pilot execution, resolving early issues, and meeting customer KPIs.
• Reliable Operations: Maintain high Mech system uptime by diagnosing root causes and executing rapid, durable fixes in the field.
• Lifecycle Stewardship: Own warranty actions, spare part tracking, retrofit execution, and RMA processing for your assigned sites.
• Customer Confidence: Act as the face of Dexterity Engineering in the field—resolving chronic issues and maintaining long-term system health.
• Operational Excellence: Reduce repeat incidents by authoring runbooks, knowledge base articles, and automated diagnostics.

• Run day-to-day operations of the Mech system at customer sites during pilots
• Act as super-user, first line of support, and liaison between DGS and Dexterity
• System Operation: Safely operate Mech and materials handling systems. Manage daily workflow, including package exception handling.
• Issue Management: Identify and report issues; perform initial T0 troubleshooting. Validate fixes in the field and close out issues with Echo/Delta teams. Track issue lifecycle on site until closure
• Reporting: Provide daily internal updates and KPI reports. Deliver daily customer-facing reports on operations status.
• Customer Interface: Align pilot schedules with local operations team. Support customer training sessions and act as a trainer for new users.
• Feature Deployment: Execute SW upgrades/downgrades and RFT (Request for Test) activities for software and hardware. Manage test packages and coordinate new feature validation.
• Maintenance & Logistics: Manage spares, tools, and maintenance cage. Support preventive maintenance activities as directed by Echo/Delta.
• Continuous Learning: Build knowledge base of operations, troubleshooting, and reporting.

• Strong troubleshooting skills across electromechanical systems, pneumatics, drives, sensors, and industrial robotics
• Comfort with Linux command line, log analysis, and basic application debugging (Python/SQL)
• Familiarity with tools like Jira, Zendesk, and knowledge base platforms
• Experience managing spares, executing RMAs, and coordinating with supply chain or service teams
• Ability to read schematics, wiring diagrams, and mechanical drawings
• Self-starter mindset, with ability to lead service actions under ambiguous field conditions
• Strong communication skills to clearly explain findings and collaborate across functions
• Familiarity with support tools and observability platforms (e.g., Grafana, Kibana, Foxglove, ArgoCD).
• Self-starter mindset with a willingness to take ownership in ambiguous environmentsBias for Action — sense of urgency in production environments; willingness to “own the ticket” until closure

• Experience supporting warehouse robotics or industrial automation systems
• Familiarity with EtherCAT, Beckhoff, or Elmo servo drive systems
• Prior field service engineering or hardware NPI commissioning experience
• Experience developing or maintaining diagnostic tooling
• Knowledge of application-layer debugging, especially for real-time systems
• Understanding of reliability modeling, FMEA, or service metrics (e.g., MTTR, MTBF)

• Bachelor’s degree in Mechanical, Electrical, Mechatronics, or Industrial Engineering or related field
• 3+ years in field service, product support, or hardware debugging roles in robotics, automation, or complex electromechanical systems
• Physical ability to perform service tasks in warehouse environments, including equipment access, lifting, and calibration
• Comfortable working extended hours or on-call rotations for high-severity incidents.

Equal Opportunity Employer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!

About the Role

We’re looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization—and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement learning, task and motion planning, and other related fields in order to further enhance Dexterity’s technology foundations in Physical AI

You’ll be part of a team working across simulation, real robots, and multimodal sensor streams, applying first-principles thinking to unlock product capabilities where off-the-shelf ML solutions fall short. If you have strong research instincts but are excited to build things that are used in the real world, this role offers the chance to turn deep technical ideas into systems deployed at scale.

• Design and prototype novel algorithms at the intersection of learning, prediction, and planning, with a focus on solving real product challenges
• Apply reinforcement learning, geometric reasoning, or optimization-based methods to tackle long-horizon manipulation, sensor fusion, or decision-making under uncertainty
• Translate open-ended problems into clear technical approaches, balancing modeling intuition with real-world constraints like latency, reliability, and partial observability
• Build and test your algorithms across simulation and real-robot environmentsCollaborate closely with product leads, software engineers, and roboticist to bring ideas into fruition
• Contribute to internal knowledge, tooling, and experimentation pipelines that level up the entire team

• PhD or equivalent experience in machine learning, robotics, optimization, applied math, or a related field
• Strong mathematical foundation in areas such as probability, statistics, optimization, reinforcement learning, imitation learning, and foundation models
• Ability to turn theoretical insights into practical, testable code using Python and PyTorch (or similar frameworks)
• Curiosity, initiative, and a bias toward building and debugging in real systems
• Clear communication skills and an ability to collaborate across engineering and research boundaries

• Experience with physics simulators, control stacks, or physical sensing modalities (RGBD, force-torque, etc.)
• Prior work on real-world ML deployments (e.g., autonomous vehicles, logistics, hardware-integrated ML)
• Contributions to open-source ML, RL, or robotics libraries
• Previous startup experience

• You’ll work on hard, novel problems that demand first-principles thinking—not just tuning models
• Your work will run on physical systems with real constraints, feedback, and real world impact
• You’ll be expected to and supported in owning high-impact projects from early on
• You’ll have a chance to help shape how learning, prediction, and planning come together in next-generation robotics

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.