About the Role

The Senior Advertising Manager’s primary responsibility is to work client-facing, with a specific book of commerce clients to create, manage, optimize, report on, and present full funnel marketing campaigns. In this role, you will work directly with a variety of large Brands across multiple global Amazon markets and different product categories. You will also play a major role in crafting budget strategies, driving sales and enhancing brand awareness on Amazon, Walmart and other commerce platforms.

Responsibilities:

• Own Amazon search and display (DSP/OTT) performance advertising for an assigned set of clients
• Create, implement, manage, and report on advertising strategies that align with client goals
• Collaborate with internal and external stakeholders to maximize performance for the client’s business
• Proactively research industry trends and best practices and communicate internally to knowledge share
• Engage frequently and professionally with clients via email/slack, phone, and in-person video meetings
• Strategic thinking, detail oriented execution, and insightful data analysis to identify areas of opportunity and deliver sales-driving initiatives
• Utilize Amazon Attribution and Amazon Marketing Cloud to gain additional insights to increase performance
• Mentor more junior Advertising Managers

About You

The essentials:

• Amazon Performance Advertising experience with knowledge of developing strategic full funnel strategies to grow brands
• 4+ years’ experience with Amazon digital advertising; with an emphasis on paid search and display advertising
• Strong large-client facing experience
• Amazon advertising accreditation at the date of hire or commitment for accreditation within 30 days of hire
• Experience with Amazon SaaS Advertising Technologies
• Advanced understanding of PowerPoint, Excel, and Word or Google Slides, Docs and Sheets
• Excellent attention to detail and accomplished verbal and written communication skills
• Analytical and strategic capabilities
• Multitasking expertise with the ability to organize projects and establish priorities

Not a must, but a plus:

• Agency experience with a focus on Amazon programmatic display advertising, Amazon Demand Side Platform and Amazon search
• Adept at learning new software programs and tools and incorporating AI into workflows
• Experience using bid management tools
• Additional marketplace experience such as Walmart, Target, Instacart

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

#LI-Remote #LI-OG1

Seeking Talent Near: Minneapolis, MN; Saint Paul, MN; Fargo, ND; Sioux Falls, SD; Omaha, NE; Billings, MT; Boise, ID

Position Summary

Primary Responsibilities

• Build and sustain strong relationships with national and regional medical and scientific thought leaders, patient advocacy groups, and centers of excellence aligned to Acadia’s Medical Affairs strategy
• Engage key opinion leaders in meaningful scientific exchange, research discussions, and education on current and emerging therapies
• Support clinical research activities, including trial site engagement and cultivation and facilitation of investigator-initiated research proposals
• Develop and maintain deep scientific, clinical, and therapeutic expertise across Acadia’s portfolio
• Collaborate cross-functionally, in compliance with all guidelines, with Regional Business Leaders and Account Business Managers to support aligned field execution
• Provide strategic field insights that inform Medical Affairs and broader organizational decision-making
• Identify disease state insights and compound attributes that contribute to product differentiation and scientific value
• Deliver high-quality scientific, clinical, and educational support to internal stakeholders and external healthcare partners
• Represent Acadia at medical meetings, congresses, educational programs, and support Commercial activities including speaker and sales training
• Perform other duties as assigned

Education/Experience/Skills

• Advanced scientific degree (MD, PharmD, or PhD) in a relevant discipline
• Minimum of 5 years of experience in the pharmaceutical or biotechnology industry, with hands-on scientific or medical affairs responsibilities
• Prior Medical Science Liaison experience within a field-based medical affairs role
• Demonstrated scientific and clinical expertise, with experience in rare diseases, epilepsy, neurology, or psychiatry
• Strong working knowledge of regulatory, compliance, and clinical considerations impacting pharmaceutical and managed care environments
• Proven ability to communicate complex scientific and drug information to healthcare professionals and internal stakeholders
• High proficiency in Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint
• Ability to travel up to 75% of the time, with residence within the assigned territory

Position levels:

• Medical Science Liaison: $139,600 - $174,500 requires an advanced degree (MD, PharmD, PhD) in a scientific discipline, 5 years of progressively responsible experience in the medical, clinical, and/or pharmaceutical field
• Sr. Medical Science Liaison: $176,000 - $220,000 requires an advanced degree (MD, PharmD, PhD) in a scientific discipline, 7 years of progressively responsible experience in the medical, clinical, and/or pharmaceutical field, including 3 years as an MS

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-REMOTE

#LI-CS1

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary: 

The Director of Commercial Operations is a critical senior management team member and is responsible for the safe and reliable operation of Motional’s commercial fleet and supporting commercial partners. Reporting to the Senior Director of Operations, the Director of Commercial Operations is expected to develop and maintain an excellent level of operating performance through increased reliability and close working relationships with cross-functional stakeholders. This role requires extensive operational experience to ensure that the efficient deployment of the commercial autonomous vehicle (AV) Fleet is safe, reliable and accessible. The Director will be responsible for achieving improved efficiencies by implementing new tools and technologies, while also ensuring that any cost-efficiency plans are driven by Motional’s core values and commitment to a driverless vehicle future.

What You’ll Be Doing:

Fleet Performance & Operational Excellence:

• Own end-to-end commercial fleet performance across all active markets, including safety, reliability, utilization, and service delivery metrics.
• Establish and drive KPIs such as fleet availability, autonomous miles, incident rates, MTTR (mean time to resolution), and SLA adherence.
• Translate operational data into actionable insights to continuously improve fleet efficiency, uptime, and customer experience.
  
  

Multi-Market Operations Leadership:

• Lead and standardize operations across multiple geographies, ensuring consistency in execution while adapting to local Operational Design Domains (ODDs).
• Develop scalable operating models that support expansion of fully driverless deployments.
• Ensure operational readiness for new market launches, including staffing models, infrastructure, and regulatory alignment.
  
  

Command Center & Incident Management Oversight:

• Provide executive oversight of real-time fleet command and control functions, including incident response, escalation protocols, and non-nominal event management.
• Ensure robust incident command structures are in place to rapidly contain risk and maintain public trust during high-severity events.
• Drive post-incident review processes to identify root causes and implement systemic corrective actions.
  
  

Cross-Functional Integration:

• Serve as the senior operational liaison across Engineering, Safety, Product, Mapping, and Commercial teams.
• Align fleet operations with system capabilities, product roadmap, and safety frameworks to ensure cohesive execution.
• Partner with Commercial and Business Development teams to support partner success and contractual performance obligations.
  
  

Field Operations & Resource Optimization:

• Oversee field support strategy, including On-Road Response Specialists (ORS), third-party vendors, and dispatch operations.
• Optimize resource allocation models to balance response time, cost efficiency, and service coverage.
• Ensure field operations meet defined SLAs and are equipped to support both driver-assisted and driverless operations.
  
  

Technology, Tooling & Process Innovation:

• Identify, implement, and scale operational tools, automation, and technologies that improve fleet performance and reduce manual intervention.
• Partner with Engineering and Product teams to define system requirements that enhance operational visibility and control.
• Champion data-driven decision-making frameworks across all levels of fleet operations.
  
  

Cost Efficiency & Financial Stewardship:

• Develop and manage operational budgets with a focus on cost efficiency, scalability, and ROI.
• Identify cost reduction opportunities without compromising safety, reliability, or customer experience.
• Ensure financial discipline aligns with company values and long-term driverless strategy.
  
  

Regulatory, Safety & External Stakeholder Engagement:

• Ensure compliance with all local, state, and federal regulatory requirements governing AV operations.
• Act as a senior representative with city officials, regulators, and first responders to maintain strong external relationships.
• Uphold and reinforce a safety-first culture across all operational functions.
  
  

Leadership & Organizational Development:

• Build, lead, and develop high-performing operations teams, including managers and frontline leadership.
• Establish clear accountability structures, performance management frameworks, and leadership development pathways.
• Foster a culture of urgency, ownership, and continuous improvement aligned with company values.

What We’re Looking For:

• Bachelor’s degree required (Operations, Marketing, Business, Engineering, Logistics); equivalent practical experience a plus.
• 10+ years of experience in operations leadership within mission-critical, real-time environments (autonomous systems, aviation, logistics, defense, or large-scale mobility operations).
• 5+ years in a senior leadership role (Director and above) with responsibility for multi-site or multi-market operations.
• Experience managing third-party vendors and commercial partnerships with performance-based contracts.
• Proven track record of owning and improving complex operational systems at scale, including safety, reliability, and cost performance.
• Demonstrated expertise in incident management, command-and-control structures, and operational risk mitigation.
• Strong financial acumen with experience managing budgets, cost optimization initiatives, and resource planning.
• Experience leading cross-functional organizations and influencing Engineering, Product, and Commercial stakeholders.
• Deep analytical capability with experience leveraging data to drive operational improvements and strategic decisions.
• Exceptional communication and executive presence, with the ability to operate effectively in high-pressure environments.
• Ability to support a 24/7 operational model, including on-call escalation leadership.
  
  

Bonus Points (not required):

• Experience in autonomous vehicles, driverless systems, or mobility platforms.
• Background in air traffic control systems, military command-and-control, emergency management, or network operations centers.
• Experience scaling driverless or highly automated systems in real-world environments.
• Familiarity with ODD frameworks, geospatial operations, and real-time routing systems.
• Experience with fleet management platforms, telematics, and real-time operational analytics tools
• Proven success in launching new markets or expanding operations in regulated environments.
• Experience managing field operations or dispatch logistics, including SLA performance oversight.
• Track record of process standardization and operational scalability in high-growth environments.
• Background in safety operations, emergency response, or reliability engineering. 
  
  

Physical Demands & Working Environment:

• This role requires the ability to interface with both office and field environments.
• The employee is occasionally required to remain stationary at times for up to 50% of working time
• Operate and use office equipment.  
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

Mission Summary:

The Mapping Analyst will provide global support to the Map Operations team and support launching autonomous vehicle service in new cities around the country and the world. The Mapping Analyst will provide support to the Market Entry Map Operations team by collecting infrastructure data and analyzing road features and work closely with product and engineering teams to guide feature development, and will support the global team by annotating maps, assisting with data-collection and map validation.

The Motional Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road, the Las Vegas office is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Essential Duties:

• Annotate/digitize high-definition maps of roads that are used for autonomous driving, using in-house mapping software, and play an active role in the expansion and maintenance of mapped areas
• Perform in-depth analysis of road infrastructure using multiple data sources
• Conduct various validation tests to ensure quality control, including a peer-reviewing process with fellow mapping a, and conduct in-house vehicle simulations
• Investigate and fix map-related issues, conduct testing and update maps upon receiving feedback from the vehicle operations team or reviewing logs from vehicle runs
• Ensure that the annotated maps are ultimately well-validated, road-worthy and accurate while making rides safe, comfortable and error-free
• Identify pickup/dropoff areas to comply with market demand and AV capabilities
• Document and streamline map production and maintenance processes, and ensure that all map annotation best practices are well-documented and adhered to
• Work closely with the mapping software development team to investigate map data issues, report and replicate software bugs, conduct testing and provide useful feedback to improve the mapping software
• Work with engineering teams to identify, document, and prioritize features for engineering development
• Collaborate with product team to help define the company’s operating area
• Provide field support for road operations
• Support global mapping efforts
• Able to travel domestically to target cities for on-the-ground data collection and road study
• Additional duties assigned
  
  

Qualifications:

• Background in working with mapping software, GIS, AutoCAD or other spatial design software
• Bachelor Degree in geography, science, engineering preferred, minimally 6 month  experience with 2 to 5 years of experience highly preferred
• Knowledge of road traffic rules and regulations required
• Highly attentive to quality and detail; experience with QA/QC process preferred
• Enthusiasm for the AV industry as well as safety/mobility is preferred
• Able to present in front of small-medium groups 
• Exemplary organizational and time management skills
• Skilled in Microsoft/G-Suite applications including PowerPoint/Slides, Excel/Sheets, Word/Doc
• Valid driver's license required
• Minimum of at least 6 months of driving experience
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods of time; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds.

Working Environment:

The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particles.  The noise level in the environment is low to moderate.

Safety Requirements:

Because interfacing with the public and/or other employees in a confined setting is an essential function of the job, Motional currently requires those performing this role to be fully vaccinated. Anyone hired into this role should be vaccinated by their start date. Motional is an equal opportunity employer, and will provide reasonable accommodation to those unable to be vaccinated where it is not an undue hardship to the Company to do so as provided under federal, state, and local law.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

We are seeking a motivated Test Control Engineer to join our Team. In this strong intermediate level role, you will take full ownership of assigned tasks within defined test execution procedures and support the broader Test Engineering team in validating sophisticated autonomous systems. Working under the guidance of senior engineers, you will ensure our vehicles and systems are mission-ready through rigorous readiness checks, real-time monitoring, and low-level subsystem validation.

Key Responsibilities:

• Test Execution & Readiness: Take full ownership of assigned tasks within defined test procedures, including specific checklist items and system monitoring. Perform all pre- and post-test readiness checks completely, accurately, and on time. 
• Set up, configure, and operate AB Dynamics systems (GST, Launchpad), including target preparation and robot operation.
• Execute structured scenario-based testing using track infrastructure and robotic platforms.
• Subsystem Validation: Execute and support fault injection and low-level control testing for critical subsystems, including actuator-level behavior (throttle, brake, steering) against expected control responses and safety constraints.
• System Monitoring: Provide timely and accurate real-time monitoring of assigned system statuses during testing to ensure safe and successful execution.
• Technical Support: Execute basic configuration and setup of instrumentation and telemetry. Assist in on-vehicle and off-vehicle tests focusing on critical components such as control systems and perception.
• Utilize Vector tools (CANalyzer/CANoe) for live debugging, signal tracing, and post-test analysis.
• Documentation & Triage: Maintain accurate, organized, and complete logs of all test activities. 
• Analyze vehicle logs (CAN, telemetry, system logs) to identify anomalies and support root cause analysis (RCA).
• Collaborate directly with developers to reproduce issues and validate fixes.
• Issue Escalation: Promptly and clearly escalate all anomalies or issues to a senior engineer immediately upon detection.
• Simulation Support: Support testing within virtual environments, including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) platforms.
  
  

Qualifications:

• Technical Proficiency: Proficiency with laptop computers, GSuite apps, and touchscreen smartphones. Strong familiarity with Linux environments and a general understanding of low-level vehicle control systems.
• Hardware & Tools: Basic exposure to automotive communication protocols (CAN, LIN, Ethernet) and tools like CANalyzer or CANoe for bus-level debugging.
• Programming & Data: Basic exposure to scripting languages such as Python, Bash/Shell, or SQL. Ability to analyze logs to assess system behavior.
• Communication: Proactive communicator who raises issues early and clearly with minimal prompting. Demonstrated ability to operate as a self-starter in fast-paced, ambiguous environments.
• Professionalism: Punctual, reliable, and a strong team player who works cooperatively as a supportive member of the test execution team.
• Operational Requirements: Must be able to safely maneuver around autonomous vehicles and multitask with various technologies. Ability to work flexible shifts (mornings, evenings, weekends, or overnights) and travel up to 15% with short notice. Hands-on work at test track environments is a core part of this role. Comfortable working around vehicles, hardware, and test equipment daily.
• Physical Demands: Must be able to sit for extended periods and occasionally lift or move up to 50 pounds. Must be comfortable working outdoors in various weather conditions.
• Driver’s License: A valid driver's license is required.
  
  

Preferred Qualifications:

• General awareness of industry safety standards such as ISO 26262 and ISO 21448 (SOTIF).
• Experience with automated test case execution.
• Experience with track-based testing using robotics platforms.
• Experience testing low-level vehicle control systems (body-controls, braking, steering)
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

A Triage Specialist is responsible for accurately reviewing data that has been collected from, but not limited to Public Road Evaluation (PRE) testing and performing first-level Root Cause Analysis and quality checks for third party Triage Contractors. They communicate between Engineering and component teams and help to improve Triage outcomes. This role will identify gaps and assist in creating processes that will enhance Triage throughput. Efficiency and quality is critical, but ultimately, a Triage Specialist plays a key role in maintaining the safety standards of how the AV performs on the road.

Essential Duties:

• Perform Level 1 Root Cause Analysis (RCA) on several different test modalities, including, but not limited to, public roads, closed courses, and simulation
• Work closely with third-party Triage contractors to help improve quality and throughput
• Closely partner with the Autonomy Team to maintain a rapport for a rapid and iterative feedback loop
• Drive the issue identification, analysis/introspection, mitigation, and reporting lifecycle with the System Performance engineers
• Thoroughly understand the different components of the software stack and maintain knowledge as things change, including expected behaviors and visual representation across various tools
• Show initiative and be a valued team member in our innovative, fast-paced, technical environment where cooperative teamwork across locations is the norm
• Analysis of simulated AV scenarios
• Accurately categorize events into a range of categories and types
• Tag logs to reflect search optimization and metrics which are appropriate for each
• Create and manage events on internal Triage developed tooling
• Investigate any logs that have extenuating circumstances that may have previously prevented a reviewer from completing their task, ending in a fully reviewed log
• Participate in the recurring standup to address new concerns and assignments that may need to be undertaken. This may include new information on which routes need to be prioritized and changes in the Triage process that need to be implemented
• Oversee and aid in the training of new team members and provide feedback on any misidentified incidents, and coach best practices to improve team efficiency
• Provide feedback on newly implemented tools and ways that they have impacted the review process in both a critical and positive manner
• Create and update process documentation as needed 
• Able to travel domestically
• Other duties as assigned
  
  

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The requirements listed below are representative of the knowledge, skill, and/or ability required.

• Enthusiasm for the AV industry as well as safety and mobility
• Be proficient in working across a suite of proprietary software tools and applications
• Ability to understand technical terminology regarding the software stack and each contributing component
• Work in a fast-paced, dynamic environment across multiple time zones with strong communication and collaboration
• Demonstrated problem-solving skills and ability to think logically and remove bias from the evaluation of problems
• Posses a detail-oriented mindset focused on safety
• Strong troubleshooting, debugging, analytical, and creative problem-solving skills
• Have a strong attention to detail and be able to work independently
• Effective time management skills
• Able to analyze data for long periods without sacrificing efficiency and accuracy
• Experience in data quality assurance
• Experience with software engineering concepts, including requirements analysis, source control, and build processes 
  
  

Preferred Qualifications (not required):

• Experience using issue tracking and configuration management tools (E.g: Atlassian Confluence, Jira, Git.)
• Experience with software release management and release testing
• Entry-level experience with Linux and scripting languages (E.g: Bash/Shell, Python)
• Data Analysis experience and SQL
• Experience with the testing of autonomous vehicles
• Thorough understanding of robotics systems, including sensors, actuators, mechatronics, and software systems
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. This position is not restricted to any one site. You will be responsible for traveling to all domestic and international testing locations.

Travel Requirements (greater than 10%): 

Expected to travel for 1 week each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.

While performing the duties of this job, the team member is regularly exposed to the office environment, outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate. When occasionally visiting our test sites and tracks, the team member may experience some loud noises and harsh weather conditions. When traveling, the team members will be exposed to airports, airplanes, hotels and public transportation environments.

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Director of AV Testing Operations is a senior leader responsible for shaping and executing the vision, strategy, and performance of Motional’s global test operations. Reporting to the Senior Director of Operations, this role drives the safe, reliable, and efficient operation of Motional’s AV testing and commercial fleet. This role is responsible for addressing any fleet resource bottlenecks, rapidly implementing required hardware changes and managing daily requirements of fleet systems for operational readiness. As a strategic leader, you will oversee cross-functional teams, establish scalable operational frameworks, and build strong partnerships across engineering, program management, and fleet operations. You will champion a culture of safety, accountability, and innovation while ensuring that Test Operations directly enables Motional’s roadmap toward commercialization and a driverless future.

What You’ll Be Doing:

• Strategic Leadership: Define and execute the long-term vision for Test Operations, aligning resources, people, and processes with company objectives and commercialization milestones.
• Strategic Roadmap: Define and execute the global fleet strategy, ensuring infrastructure and resources are positioned for market expansion.
• Organizational Oversight: Lead, develop, and inspire a multi-level organization of managers, supervisors, and operators across multiple test sites, ensuring growth, accountability, and performance at every level.
• Operational Excellence: Establish and refine policies, SOPs, and key performance metrics that ensure safety, efficiency, and reliability of all testing activities.
• Executive Collaboration: Partner closely with senior leaders in engineering, safety, and product to ensure seamless integration of vehicle testing into Motional’s development and deployment lifecycle.
• People Development: Build and sustain talent pipelines, mentor emerging leaders, and implement workforce strategies that support long-term growth and retention.
• Innovation & Efficiency: Champion continuous improvement by deploying new tools, technologies, and operational models that enhance scalability and cost-effectiveness.
• Cross-Functional Engagement: Represent Test Operations in executive forums, customer demos, regulatory engagements, and strategic initiatives such as new market entries and partnerships.
• Data-Driven Innovation: Integrate and utilize data driven analytics to transform fleet maintenance from reactive to proactive, enhancing overall vehicle lifecycle value.
• Regulatory Compliance: Ensure all fleet operations meet or exceed global safety standards and local regulatory requirements for autonomous vehicle deployment.
• Cultural Leadership: Drive a culture rooted in safety, accountability, and collaboration while embodying Motional’s values.
  
  

What We’re Looking For:

• 10+ years of progressive leadership experience in operations, test engineering, program management, or related technical domains, including at least 5 years in a senior leadership (Director or above) capacity.
• Demonstrated ability to thrive in ambiguity, balancing operational planning with tactical execution
• Demonstrated success leading large, distributed teams in a complex technical or R&D environment.
• Strong track record of influencing across executive leadership, building cross-functional alignment, and delivering results at scale.
• Expertise in performance management, organizational design, and workforce development.
• Proven ability to implement strategic initiatives that drive measurable improvements in safety, quality, and efficiency.
• Exceptional executive communication, public speaking, and stakeholder management skills.
• Bachelor’s degree required; advanced degree preferred (Engineering, Operations Management , or related field).
• One of the following certifications in; PMP, PgMP, CSM, ISO 9001/45001, CSM (Preferred).
• Flexibility to travel domestically up to 25%.
  
  

Bonus points (not required):

• Experience in the Autonomous Vehicle or Automotive industry.
• Familiarity with AV-specific hardware stacks (Lidar, Radar, Cameras) and calibration workflows.
• Direct experience with ISO 26262 (Functional Safety) or developing Safety Management Systems (SMS).
• Experience with DOT, NHTSA, or state-level DMV regulators.
  
  

Physical Demands & Working Environment:

This role requires the ability to interface with both office and field environments. While primarily office-based, the Director of AV Testing Operations may be present at test facilities, requiring the ability to safely operate and ride in autonomous vehicles, oversee vehicle inspections, and engage in field operations as needed. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

This role is based in our Las Vegas office and requires in-office days each week.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Remote Vehicle Assistance Agent monitors live data and provides remote assistance to Motional vehicles in autonomous mode when they encounter unknown situations. Using proprietary software tools, agents interact with the AV and provide context and assistance to allow the vehicle to continue its mission - no steering wheel required. 

What you'll be doing:

• Monitor Motional autonomous vehicles (AV) operating on closed courses and public roads
• Assist in the AV decision making with real world events to ensure safe and efficient paths of travel
• Monitor AV camera feed to ensure the cameras and AV are functioning properly
• Monitor AV systems to ensure AV and systems are functioning properly
• Provide support to AV in real time to assist with direction or safety of travel
• Work closely with various engineering teams for system testing and testing of new scenarios
• Work closely with design teams to support development of functions and performance of AV
• Interact with AV to resolve tickets and issues through various software and hardware
• Reporting of system functionality issues to management in a timely manner
• Other duties as assigned
  
  

What we're looking for:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The requirements listed below are representative of knowledge, skill and/or ability required.

• Strong collaboration skills
• Proficiency in G-suite applications
• Independent, detail-oriented and exemplary organizational and time management skills
• Strong capability in analytical/ problem solving 
• Excellent written and verbal communication skills
• Prior experience as an Operator/Driver for Autonomous Vehicles, including some type of internal or external training on Autonomous Vehicle technology is preferred
• Basic working-knowledge of Autonomous Vehicle technology
• Experience and training on providing subjective feedback on vehicle behaviors and environment
• Local knowledge of city of streets, geography and environmental features that may be challenging for Autonomous Vehicles
• High school diploma or equivalency
• Able to work days, nights and weekends
• Must be able to use company communication systems and communicate clearly and effectively both written and verbal
• Must be able to read a map and possess and/or learn traffic laws for locations where AV operate
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds.

• Requires near/far/depth and color vision to safely assist Autonomous Vehicles and computer screens
• Able to stay awake and alert on shift at all times
• Able to sit/stand for up to 10 hours at a desk
  
  

Working Environment:

The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The job operates in a combination of a professional office environment and the garage where company vehicles are stored and repaired.  This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.  While performing some duties of this job, the employee is occasionally exposed to vehicle related fumes or airborne particles, moving vehicles and noise levels vary depending on the location within the building.  This position will also spend time outside as well as at our training tracks.

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Las Vegas office and requires on-site days each week.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology and commercial operations platform through rigorous, system-level testing. Motional is seeking a highly skilled and motivated Senior Automation Test Engineer to join our AV Test Engineering team. In this role, you will lead the design, development, and execution of backend and frontend automation frameworks for our fleet operations platform — the operational backbone of our commercial robotaxi service. You will also lead and mentor a fellow automation engineer, driving best practices and continuous improvement across the team.

What you'll work on:

• Own the architecture, development, and maintenance of scalable backend and frontend test automation frameworks for a fleet operations platform, with a primary focus on backend API and service-level validation.
• Design and execute comprehensive automated test suites covering backend services, APIs, and data pipelines, as well as frontend UI workflows within the operations platform.
• Lead integration testing efforts for third-party APIs and internal services, ensuring reliable end-to-end data flow across fleet management, dispatching, and monitoring systems.
• Develop automation solutions primarily in Python and Go for backend testing, and JavaScript for frontend validation, while proactively adopting new tools and frameworks as the platform evolves.
• Lead, mentor, and collaborate with one automation test engineer, providing technical guidance, code reviews, and support for professional development.
• Partner closely with software engineers and product teams to define test strategies, identify coverage gaps, and establish quality gates within CI/CD pipelines.
• Conduct root-cause analysis on test failures and system defects, driving resolution across backend services and frontend interfaces.
• Contribute to documentation, test plans, and operational frameworks that bring clarity and transparency to the automation testing process for all stakeholders.
  
  

What we're looking for:

• 5+ years in software QA or test automation, with a strong emphasis on backend and API testing.
• Bachelor's degree or higher in Engineering, Computer Science, or a related technical field.
• Technical Expertise:
• Hands-on proficiency in Python and Go for backend test automation, and JavaScript for frontend automation.
• Demonstrated experience designing and building automation frameworks from the ground up for complex, distributed systems.
• Experience with REST/gRPC API testing, service integration validation, and data pipeline verification.
• Experience with CI/CD pipelines and integrating automated quality gates for production-grade software releases.
• Proven ability to lead technical efforts, operate autonomously, and drive cross-functional collaboration.
• Ability and willingness to quickly learn new tools, frameworks, and technologies as the platform and stack evolve.
  
  

Bonus points:

• Experience with autonomous vehicle fleet monitoring, dispatching, or fleet management systems.
• Experience with Uber API or similar ride-hail/transportation platform integration testing.
• Familiarity with cloud telemetry systems or AV data pipelines.
• Experience in a cross-site or global engineering organization.
• Master's degree in a relevant field.

 This role is based in our Las Vegas office and requires in-office days each week.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

Motional is seeking a highly technical and results-oriented Product Manager to define, build, and deliver an exceptional fleet operations ecosystem for our internal fleet operations teams. This role demands a deep understanding of software product development, a passion for user-centric design, and a proven track record of shipping complex, customer-facing and operational technical products.

You will be responsible for the product strategy and execution of Motional’s entire fleet operations software tooling. Crucially, you will own Motional’s Command Center application which is responsible for all aspects of fleet management. This is a hands-on role requiring close collaboration with engineering, strategy and operations teams.

Key Responsibilities:

Overall Fleet Operations Tooling Strategy:

• Lead the strategy for unified fleet operations tooling, creating a scalable ecosystem that streamlines vehicle mission management, health monitoring, and customer assistance at every stage of the operational lifecycle.
• Translate insights into clear product requirements and a prioritized backlog that delivers measurable customer and business value.
  
  

Command Center Product Ownership:

• Lead the product definition and development for our Command Center Fleet operations application, including:
   
  •  Config/deployment
  • In-facility bring-up and launch
  • on-road fleet management
  • field support
  • Maintenance
    
    

Technical Product Management & Delivery:

• Author detailed technical product specifications, user stories, and acceptance criteria for engineering teams across customer experience and fleet systems.
• Demonstrate a strong bias for action and a proven ability to drive complex technical projects from concept through launch and iteration in an agile environment.
• Partner closely with software engineering (cloud, embedded, mobile), hardware engineering, AI/ML, and QA teams to ensure features are technically sound, built to specification, and delivered on time.
  
  

Data-Driven Iteration & Optimization:

• Define and meticulously track key performance indicators (KPIs) related to customer satisfaction, engagement, task success rates, operational efficiency, and overall experience quality.
  
  

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, HCI/Human Factors, or relevant technical field
• 5+ years of product management experience with a demonstrable strong technical background, specifically focused on customer-facing software products, operational tools, or complex system integrations.
• Proven history of successfully delivering technically challenging products from initial concept through multiple iterations and commercial launch.
• Deep understanding of software development lifecycles, agile methodologies, and modern software architecture (including cloud-based services and distributed systems).
• Experience with Human-Machine Interface (HMI) design, in-vehicle infotainment (IVI) systems, mobile application development (iOS/Android), platform/API integrations, or operational command and control interfaces.
• Exceptional ability to translate customer and operator needs into detailed technical requirements and effectively communicate them to engineering teams.
• Strong analytical and problem-solving skills, with a meticulous attention to detail.
  
  

Preferred Qualifications:

• Direct experience in the autonomous vehicle, automotive technology, ride-sharing, or logistics/fleet management industries.
• Experience with in-vehicle operating systems (e.g., Android Automotive, QNX), display technologies, and vehicle communication protocols.
• Experience defining, building, and managing APIs for third-party integrations.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and technologies relevant to fleet management and real-time data processing.
• Demonstrated ability to work effectively with both embedded/hardware engineering teams and cloud/mobile software engineering teams.
• A genuine passion for creating innovative, intuitive, and delightful user experiences in emerging technology domains for both end-customers and internal operational users.
• Experience with user research methodologies and usability testing for both consumer-facing and enterprise/operational tools.
  
  

What We Offer:

• A competitive compensation package, including salary, bonus, and equity.
• A unique opportunity to work on industry-defining technology with a world-class team.
• Comprehensive benefits, including medical, dental, vision, and 401(k).
• A collaborative culture that values innovation, safety, and integrity.
• Significant opportunities for professional growth and development in a fast-moving field.
  
  

Equal Opportunity Employer:

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

This role is based in our Las Vegas office and requires in-office days each week.

• Follow all safety policies and procedures while operating prototype-level Autonomous Vehicles on both defined and undefined routes, including a variety of geographic and environmental conditions.
• Operate in-vehicle data recording computers, including start/stop recording, data marking, and minor debugging when issues arise.
• Provide clear, accurate, and useful subjective feedback to the engineering teams on vehicle behavior observed.
• Ensures the safe operation of our test vehicles on public roads.
• Requires some initial travel for training and collaboration with other vehicle operators.
• Completes accident and incident reports as needed.
• Able to speak sufficient English in order to converse with first responders if necessary.
• Maintains current knowledge and adherence to all Motional AD LLC operating policies, procedures, and directives.
• Arrives to work on time for scheduled shift and with proper driving credentials on his/her/their person and is ready to work.
• Maintains current knowledge and is in compliance with local, county, and state traffic laws.
• Performs pre-trip and post-trip inspection, which may include but not limited to cleanliness of the Autonomous Vehicle. This includes conducting an external/internal visual inspection of the vehicle and testing all necessary equipment, operating devices, and controls.
• Completes accident and incident reports.
• Control and manage emergency situations according to company procedures.
• Able to work in a team environment and operate AV with another person. Maintain cooperative behavior towards fellow team members, leads, supervisors, and managers.
• Requires flexibility in work schedule.
• Operate in-vehicle data recording computers, including start/stop recording, data annotations, and minor debugging when issues arise. Provide feedback to engineering teams gathered from testing.
• Utilize JIRA/Confluence software to execute testing tickets and document historical data findings to a global audience.
• Able to deploy and troubleshoot AV’s.
• Control and manage emergency situations according to company procedures.
• Additional duties as assigned.
  
  

• Candidates must have and maintain a clean driving record for the previous 3 years, no DUIs for previous 10 years, and never be at fault in an accident that resulted in injury to any person.
• Prior experience as an Operator/Driver for Autonomous Vehicles is preferred, or some type of internal or external training on Autonomous Vehicle technology.
• Experience and training on providing subjective feedback on vehicle behaviors and environment.
• Must be able to successfully complete in-house driving course/examination.
• Local knowledge in the test city of streets, geography, and environmental features that may be challenging for Autonomous Vehicles.
• Basic knowledge of how to navigate through a smartphone using applications to complete job duties.
• High school diploma or equivalency.
• Able to work days, nights, and weekends at any time.
• Must be able to use company communication systems and communicate clearly and effectively both written and verbally.
• Must be able to read a map and possess knowledge of the local area.
• Must maintain a professional appearance.
• At least ten (10) years total driving experience.
• Utilize JIRA/Confluence software to execute testing tickets and document historical data findings to a global audience.
  
  

• Basic understanding of technical software that may include; Linux, Atlassian Confluence, Jira, Gitlab, and Python.
• If you currently do not meet all qualifications, or are currently working to obtain qualifying credentials, still submit your application for review.
• Data Analysis experience.
• 6 Months of NHTSA levels 2-5 Autonomous vehicle experience.
  
  

• Ability to pass a DOT exam.
• Able to be in a confined seated position to operate a vehicle for up to four (4) hours at a time for a total of up to ten (10) hours per day.
• Able to stay awake and alert on shift at all times.
  
  

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

This role is based in our Las Vegas office and requires in-office days each week.

Mission Summary:

Join us on the ground floor as we launch our commercial Autonomous Vehicle (AV) ride service. We are looking for a mission-driven Senior Software Engineer to join our Command Center team. You will be the vital link between our real-world AV operations and our core development team, ensuring our vehicles run smoothly and our technology rapidly evolves.

What will you be doing:

AV operations integration & support

• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• Resolve production incidents to reduce downtime and strengthen feedback loops between on-road operations and global engineering teams.
• Become the go-to technical expert, surfacing operational insights that influence our product roadmap and support commercial launch readiness.

Command Center feature development

• Design and develop software tools that enhance AV fleet operations, including cloud platform, over-the-air deployment, and fleet management systems.
• Build and maintain foundational technologies including ride-hail partner integration and the global scaling of the autonomous vehicle service.
• Collaborate cross-functionally to deliver scalable, efficient solutions aligned with both engineering and operational requirements.

What we're looking for:

• 5+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong Product Mindset: You focus on real-world impact. You can identify bottlenecks within a busy operational workflow and design software solutions that bring order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Experience working independently and collaborating effectively with a globally distributed team across different time zones.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• Comfortable working in a fast-paced, continuous delivery environment.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required):

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

This role is based in our Las Vegas office and requires in-office days each week.

Mission Summary:

Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV) ride service. We are seeking a Staff Software Engineer with a strong product mindset to bridge the gap between our Operations partners and our global Engineering team. You will lead the development of critical operational tools—like fleet management and orchestration systems—while shaping the roadmap to ensure our technology meets real-world needs.

What You'll Be Doing:

Hands-on Development & Leadership

• Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services that the Operations team uses daily to monitor and manage the fleet. You will balance long-term scalability with the need for immediate operational solutions.
• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• You will interview and onboard future hires, mentor junior engineers, and define the workflows (handovers, async communication, documentation standards) that enable seamless collaboration between Las Vegas and Singapore.

Product Engineering & Stakeholder Alignment

• Own the "Ops-to-Tech" Bridge: Partner deep with Operations, Product, and TPMs to translate complex, real-world fleet challenges into clear, actionable technical requirements for the global engineering team.
• Shape the Tooling Roadmap: Drive the vision for our fleet management and orchestration systems. You won't just build tickets; you will identify the right problems to solve to increase fleet efficiency and reduce manual toil.
• Feedback Loop Architect: Design processes and features that turn qualitative operational feedback into quantitative data, helping the global team prioritize platform improvements.

What We're Looking For:

• 8+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong "Product" Mindset: You are obsessed with value. You can look at a chaotic operational floor and architect a software solution that brings order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering team to get things done without owning the entire stack.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required): 

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Role Summary 

We’re hiring a Principal Talent Partner to lead hiring for our most senior and business-critical roles, including executive leadership, VP-level leaders, and principal-level individual contributor engineers. 

This role is designed for a recruiter who thrives in high-stakes, high-touch environments - someone who can build deep trust with candidates, partner closely with C-Suite, and personally close complex offers. We do not use external recruiting agencies; this role replaces them. 

Responsibilities: 

• Own end-to-end recruiting for: 

• • Executive and VP-level leadership roles 

• • Principal-level and staff-level IC engineers in highly technical domains 

• Partner directly with the CEO, founders, and senior leaders on search strategy, role definition, and candidate calibration 

• Deliver an exceptional candidate experience from first conversation through offer acceptance 

• Act as the primary closer for high-impact hires, managing: 

• • Competing offers 

• • Equity-heavy compensation discussions 

• • Relocation, timing, and family considerations 

• Build and maintain long-term relationships with senior technical and leadership talent, including passive candidates 

• Design interview processes that are rigorous but efficient 

• Translate complex technical, organizational, and business context into compelling narratives for candidates 

• Provide real-time market insight and honest feedback to leadership throughout the hiring process 

• Uphold discretion, professionalism, and strong judgment in all candidate interactions 

Qualifications:  

• 8+ years of recruiting experience, including senior-level or executive hiring 

• Experience in deep tech, hardware, infrastructure, or highly technical environments 

• Proven ability to close senior candidates in competitive markets without agency support 

• Exceptional judgment, emotional intelligence, and executive presence 

• Comfortable operating with ambiguity in an early-stage environment 

• High attention to detail, confidentiality, and candidate care 

• Clear communicator who can translate complex technical and business contexts to candidates 

Bonus Qualifications:  

• In-house experience at Series A-C startups 

• Experience recruiting in niche or emerging technical domains 

• Comfort influencing leveling, scope, and compensation strategy