Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers. 

Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely.

What you’ll do: 

• Translate loosely defined questions into clear requirements, metric definitions, and analytical deliverables
• Partner closely with software development teams, test engineering, product, and analytics partners to understand needs and deliver trusted data products
• Build and maintain scalable data models in Google BigQuery and similar cloud data platforms to support reporting, analysis, and operational decision-making
• Develop dashboards and lightweight data applications in Apache Superset, Plotly Dash, or similar tools for technical and business stakeholders
• Investigate source data, identify quality issues, and implement durable fixes that improve accuracy, consistency, and reliability
• Create reusable datasets, testing practices, and documentation that strengthen trust in data and improve self-service access
• Balance near-term dashboard development with long-term data modeling work to support both speed and scale
• Communicate findings, assumptions, and tradeoffs clearly to internal stakeholders and external platform or data partners as needed

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Experience building and maintaining analytics-ready data models in Google BigQuery or a similar cloud data warehouse
• Experience using dbt or a similar data transformation framework to develop tested, documented, and maintainable data pipelines
• Experience designing dashboards and analytical applications in Apache Superset, Tableau, or similar reporting and visualization tools
• Strong SQL skills, including complex transformations, data validation, and query optimization
• Experience with Python for data analysis and application development, including the ability to contribute to and maintain Plotly Dash dashboards
• Demonstrated ability to succeed in ambiguous environments by defining requirements, shaping metrics, and creating structure from incomplete problem statements
• Experience partnering with software development, test engineering, product, or similar cross-functional teams to deliver measurable outcomes
• Strong foundation in data modeling, dashboard design, documentation, and quality assurance practices
• Strong written and verbal communication skills with the ability to explain analytical concepts and findings to varied audiences

Nice to have: 

• Experience supporting autonomous vehicle development or other complex hardware and software products
• Experience working with telemetry, operational, or product usage data at scale
• Experience building shared metrics and self-service reporting solutions for engineering and product organizations
• Experience with front-end technologies such as HTML, CSS, JavaScript, or React to support customization and enhancement of data applications and dashboards

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product.

In This Role, You Will:

• Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information).
• Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums.
• Design and automate data collection and analysis to support ongoing safety programs.
• Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making.
• Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems.
• Model self-driving vehicle behaviors at the system and subsystem levels.
• Develop and maintain reports and expressions of baseline risk coverage and application in operations.
• Design and develop expressions of risk benchmarking from similar industries.
• Create dashboards and reports for communicating risk, ranking, and anomalies.
• Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems.
• Mentor and lead junior team members, fostering their professional growth.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• 7+ years of progressive experience solving large-scale complex problems.
• Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices).
• Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment.
• Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis.
• Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI).
• Adept at querying, analyzing, and visualizing large datasets.
• Excellent communication and presentation skills, with the ability to convey complex information to various audiences.
• Strong leadership skills, with the ability to provide guidance and mentorship.
• Ability to work independently, as part of a cross-functional team, or as a project lead.

Desirable Qualifications

• Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations.
• Familiarity with rapidly scaling operational environments.
• Proficient in working with advanced data transformation tools such as DBT.
• Skilled in building and deploying using Amazon Web Services (AWS) tools.
• Background in the Autonomous Vehicles, Aerospace, or Robotics domains.

The base salary range for this position is $171,000 - $247,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We are seeking a hands-on, execution-focused Senior Materials Analyst to partner closely with our Operations Program Managers in driving material readiness for complex hardware builds in an automotive/technology manufacturing environment. This role is ideal for a supply chain professional who thrives in the details of material planning and data accuracy, while also bringing the analytical horsepower to uncover trends, pinpoint root causes, and recommend process improvements.

You will be the primary analyst and materials owner supporting our OPMs — ensuring that short-term material health is visible, accurate, and acted upon, enabling programs to stay on track. This position demands expertise in ERP/MRP execution, data analysis, and cross-functional collaboration, with an ability to navigate fast-paced and dynamic build schedules.

In this role, you will

• Own short-term material health for assigned programs, ensuring accuracy in ERP and flagging shortages, late POs, or at-risk parts for action by OPMs and Procurement.
• Maintain and continuously improve material readiness dashboards and trackers using dashboarding tools or spreadsheets.
• Partner with OPMs to consolidate and validate data for build readiness reviews, material risk assessments, and leadership updates.
• Execute regular BOM scrub and alignment activities, ensuring ERP data integrity (quantities, lead times, allocations).
• Analyze material availability vs. program demand, highlight gaps, and prepare actionable recovery plans.
• Manage and track engineering change impacts on material requirements, collaborating with OPMs to ensure smooth transitions.
• Drive recurring operational cadences (weekly readiness reviews, inventory checks, and allocation updates).
• Utilize JIRA and Monday to track and follow through on open issues, ensuring closure and accurate status reporting.
• Support scenario planning by running “what-if” analyses on material availability and demand shifts.
• Partner with OPMs on executive and customer-facing reporting, ensuring data is clean, accurate, and presentation-ready.
• Identify data or process gaps and propose solutions to improve planning accuracy and efficiency.

 Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business, or related field.
• 3+ years in materials planning, supply planning, or production control within automotive, aerospace, or complex hardware manufacturing.
• Strong ERP/MRP (Netsuite, SAP, Plex etc) experience with a proven track record of data accuracy and system execution.
• Advanced skills in Excel, Mode, and/or Power BI for data analysis and dashboarding.
• High attention to detail and ability to manage large, complex data sets without losing sight of key priorities.
• Comfortable in an 80% execution / 20% strategy role - thrives on solving daily material availability challenges while contributing to process improvements.
• Strong communication skills for collaborating with cross-functional teams, especially Operations Program Managers, Procurement, and Production Planning.
• Ability to work in a fast-paced, changing environment with competing priorities.
• APICS/ASCM or similar certification is a plus.

 Desirable Qualifications

• Experience in the Automotive, Aerospace, or Robotics industries.
• Proficiency in visualization tools (Tableau, Power BI) and SQL.
• Knowledge of Six Sigma or Lean methodologies as applied to warehouse and repair operations

The base salary range for this position is $72,000 - $104,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JM3

#Associate

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

The Supply Chain Operations team at Aurora is looking for a Service & Spares Material Planning Analyst to ensure maximum fleet uptime through strategic inventory management and repair operations. This role is the bridge between hardware reliability and field execution. You will be responsible for managing the end-to-end lifecycle of Aurora hardware - from forecasting spare part needs and designing distribution networks to managing the "reverse logistics" of reworks and repairs. Your goal is to balance high hardware availability with optimized inventory costs to keep our fleet moving.

In this role, you will

• Develop and execute demand forecasts for spare parts to ensure high fleet uptime while minimizing excess inventory carrying costs.
• Support the design of the service network to determine optimal stocking locations (forward-stocking locations vs. central hubs) based on fleet density and lead times.
• Manage the flow of "core" returns; track damaged hardware from the field through the repair/refurbishment cycle and back into usable stock.
• Build and maintain dashboards to track Key Performance Indicators (KPIs) such as Part Availability Rate, Mean Time to Repair (MTTR), and Inventory Turns.
• Partner with Field Service Engineering and Reliability teams to adjust stocking levels based on real-world hardware failure rates and engineering change orders.
• Work with procurement to ensure service POs align with fleet expansion plans and historical consumption data.
• Reconcile inventory discrepancies within ERP/MRP systems to ensure "Clear to Service" (CTS) visibility is 100% accurate across all field locations.
• Identify bottlenecks in the return-to-vendor (RTV) process and implement automated workflows for tracking serialized hardware.

 Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business, or a related field.
• 3+ years in supply chain or operations, with a specific focus on service parts, aftermarket support, or reverse logistics.
• Strong ERP/MRP experience (e.g., NetSuite, SAP, Oracle) with a proven track record of managing serialized inventory and repair orders.
• Advanced Excel, Mode, and/or Power BI skills; ability to manage large datasets to identify "bad actor" parts or logistics bottlenecks.
• Thrives in an 80% execution / 20% strategy role—you enjoy solving the daily puzzle of getting a part to a downed vehicle while suggesting ways to automate that process for the future.
• Ability to collaborate with Supply Chain Managers, Field Technicians, and global Procurement teams.
• Ability to work in a fast-paced environment where fleet priorities can shift daily.

 Desirable Qualifications

• Experience in the Automotive, Aerospace, or Robotics industries.
• Proficiency in visualization tools (Tableau, Power BI) and SQL.
• Knowledge of Six Sigma or Lean methodologies as applied to warehouse and repair operations.

The base salary range for this position is $72,000 - $116,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JM3

#Associate

The Opportunity

The Patient Services Operations team is central in advancing our mission to provide affordable care and deliver exceptional patient experience. We are seeking a Workforce Management Real-Time Analyst to join our Operational Excellence team. This individual will be responsible for monitoring real-time performance across the contact center and pharmacy operations, ensuring service levels are met through proactive staffing adjustments and data-driven decision-making.

This is an ideal opportunity for a seasoned WFM Analyst that is highly analytical, detail-oriented, and thrives in a fast-paced environment. The role requires strong problem-solving skills, adaptability, and the ability to make quick, informed decisions that impact both patient experience and operational efficiency.

Responsibilities

• Monitor real-time contact center and pharmacy performance using Assembled, LivePerson, RxOs and Amazon Connect. This includes service levels, queue volumes, and agent adherence.
• Identify and communicate intra-day staffing gaps, risks, and opportunities to operations leadership.
• Execute real-time adjustments such as queue reassignments, break/lunch changes, overtime, or voluntary time off (VTO) to optimize staffing levels.
• Partner closely with Scheduling, Forecasting, and Operations teams to ensure alignment between planned and actual staffing needs.
• Maintain real-time tracking reports and dashboards to provide visibility into performance metrics and operational health.
• Escalate system outages, unexpected volume spikes, or staffing challenges and recommend mitigation strategies.
• Ensure adherence to schedules and communicate adherence concerns to leadership in a timely manner.
• Document real-time processes, playbooks, and best practices for consistent execution.
• Support continuous improvement efforts by identifying trends and recommending process or workflow enhancements.
• Participate in daily and weekly operational reviews to provide insights on performance drivers and variances.

Qualifications

• Experience with WFM tools such as Assembled (preferred) or similar platforms.
• Strong analytical skills with proficiency in Excel/Google Sheets; experience with SQL, Python, or data visualization tools (e.g., Tableau) is a plus.
• Excellent written and verbal communication skills; ability to clearly communicate real-time insights and recommendations to stakeholders.
• Ability to multitask, prioritize, and make quick decisions in a fast-paced, high-pressure environment.
• Detail-oriented, proactive, and highly adaptable with a strong sense of ownership.

Location/ Hours

• On-site 5 Penn Center Blvd, Robinson Township, Pittsburgh, PA
• Full time position (40hrs/week), hourly, Monday- Friday 1 pm - 9 PM EST and Saturday's 9 AM - 5 PM EST 
• Training is from10 AM -6 PM Monday-Friday (first month)

#blinkindeed

Available Location: Pittsburgh, PA

About the Role

We are seeking an exceptionally accomplished and visionary Senior Majors Account Executive to join our Enterprise/Field Sales team. In this expert-level role, you will be the driving force behind Cloudflare's most strategic customer engagements, leading the charge in securing and expanding critical platform sales within focused accounts. The ideal candidate possesses unparalleled sales leadership, a profound grasp of enterprise architecture across all four pillars (business, data, applications, technology), and the ability to articulate how Cloudflare seamlessly integrates into modern cloud operating models.

As a Senior Majors Account Executive, you will demonstrate the highest level of sales proficiency, ensuring highly accurate forecasting, strategic pipeline management, and consistently exceeding attainment targets. You will be a recognized subject matter expert, providing in-depth education to customers and partners alike on Cloudflare’s extensive product ecosystem and its place within the broader security landscape. This role demands the ability to apply executive sponsorship programs, actively engaging with CIOs, CISOs, and CTOs, and leading virtual teams that include VPs and SVPs to navigate and close complex, transformative opportunities. You will shape our customers' digital transformation journeys, identifying opportunities within broader market trends and positioning Cloudflare as their indispensable strategic partner.

What You'll Do

• Executive-Level Strategic Revenue Leadership: Own and execute the most critical territory and account plans, consistently exceeding multi-million dollar sales targets and annual quotas by architecting and closing large-scale platform sales within highly focused, strategic accounts.
• Precision Forecasting & Pipeline Mastery: Lead with unparalleled accuracy in forecasting and demonstrate complete mastery of proactive pipeline management. Provide visionary insights and strategic guidance that shapes the direction of the sales organization.
• Enterprise Architecture & Business Model Expertise: Exhibit an expert-level understanding of customer Enterprise Architecture across all four pillars (business, data, applications, technology), seamlessly mapping these to customer business models. Articulate precisely how Cloudflare fits into and optimizes a modern cloud operating model.
• C-Suite Engagement & Executive Sponsorship: Lead and orchestrate complex customer engagements across numerous business units simultaneously, connecting the dots to solidify platform sales. Actively apply and manage executive sponsorship programs, ensuring direct engagement and influence with CIOs, CISOs, and CTOs.
• Cross-Functional Leadership & Influence: Drive and lead highly complex virtual teams that include Product Managers, VPs, and SVPs to manage and close the most strategic customer opportunities. Proactively identify and resolve organizational roadblocks, leveraging company-wide learnings to ensure the most efficient delivery.
• Digital Transformation Visionary: Serve as Cloudflare's leading voice on digital transformation, engaging deeply with customers on their key drivers for change (e.g., new offering development, customer capabilities). Expertly spot and seize opportunities for Cloudflare within broader market trends that influence these critical decisions.
• Organizational Communication & Feedback: Connect themes from across departments and global locations to craft critical, crystal-clear messaging. Review performance and output across multiple organizations, providing feedback and solutions to enhance the entire organization’s performance. Deliver challenging news within a constructive learning context.
• Long-Term Strategic Impact: Consistently articulate how decisions will impact Cloudflare years into the future, willing to trade short-term gains for significant long-term organizational benefit. Build trust by openly sharing learnings and modeling Cloudflare's highest expectations and standards.
• Define Goals & Drive Efficiency: Play a key role in defining team goals and metrics each quarter, rigorously reviewing results. Deeply understand interdependencies within and across teams, proactively addressing roadblocks to achieve results with maximum efficiency.
• Company-Wide Innovation & Problem Solving: Consistently and proactively address internal and external needs, driving urgency across the department and company to offer solutions that optimize efficiency. Constructively and humbly challenge the status quo to drive positive change and innovation company-wide, leveraging new insights for continuous iteration.
• Inclusive Leadership & Future-Proofing: Serve as an exemplary leader, consistently bringing in diverse perspectives to not only address today's needs but also anticipate and solve future problems, contributing significantly to the greater good of Cloudflare.

Examples of Desirable Skills, Knowledge, and Experience

• 10+ years of expert-level experience selling complex, multi-million dollar technology solutions in a B2B enterprise model, with an irrefutable track record of consistently exceeding quota and closing transformative platform deals.
• Unparalleled in-depth knowledge of Cloudflare's entire product suite and the broader security landscape, coupled with the ability to educate both customers and partners at an expert level.
• Mastery in understanding Customer Enterprise Architecture (Business, Data, Applications, Technology) and adept at mapping Cloudflare solutions to complex business models and modern cloud operating environments.
• Proven ability to apply and manage executive sponsorship programs, with extensive experience engaging directly and influencing CIOs, CISOs, and CTOs.
• Demonstrated success in leading and orchestrating virtual teams comprising VPs and SVPs to manage and close the most strategic customer opportunities.
• Recognized authority on digital transformation, with a deep understanding of market trends and the ability to strategically position Cloudflare as a critical partner in driving customer innovation.
• Exceptional strategic communication, negotiation, and presentation skills, capable of delivering impactful messaging to the highest levels of customer and internal leadership.
• A visionary leader who consistently makes decisions for the long-term benefit of Cloudflare, even if it means trading off short-term gains.
• Proven ability to define team goals and metrics, drive cross-departmental efficiency, and proactively address roadblocks for optimal results.
• A humble yet assertive leader who consistently challenges the status quo and drives positive, innovative change across the organization.
• Expert-level proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC, etc.).
• Bachelor's degree required, with an MBA or advanced technical degree highly preferred.
• Ability to travel extensively as required to engage with key customers, executive leadership, and internal teams.

Compensation

Compensation may be adjusted depending on work location.

• Estimated annual salary of $350,000- $370,000 (base/variable)

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re looking for an experienced Manager, Map Production to lead a critical function within our Mapping Operations team. This role will manage a team of subject matter experts responsible for high quality map annotations, policy enforcement, and escalation resolutions in addition to driving performance and efficiency across a large, international vendor workforce.

The ideal candidate brings strong operational leadership, process optimization, and performance management experience. You will be responsible for building scalable workflows, establishing clear documentation and standards, and using data to continuously improve production performance. 

In this role, you will

• Lead and develop a team of 8-10 highly trained Operators through coaching, regular performance feedback, and career development support
• Foster a culture of accountability, operational excellence, and continuous improvement
• Own performance of a large, globally distributed workforce through data-driven management systems and clear, standardized operating procedures
• Ensure production targets for throughput, quality, and productivity are defined and consistently met
• Monitor operational metrics and proactively address performance regressions
• Identify opportunities to improve operational efficiency, scalability, and consistency across multiple mapping workflows
• Design and implement standardized processes that enable Operators to consistently produce high-quality annotations at scale
• Partner with Training, Product Operations, and Engineering to translate domain knowledge into scalable training and documentation
• Partner with Data Analytics to identify trends and drive targeted improvements with measurable results
• Advocate for user experience and pain points with Product Operations and Engineering to help identify tooling opportunities to improve performance metrics
• Support launch and scaling of new annotation initiatives and mapping programs

Required Qualifications

• 7-10 years of experience in Operations or Operational Strategy roles
• 5+ years of experience managing people and developing high-performing teams
• Strong experience with process optimization, standardization, and operational scaling
• Experience managing large operational programs with distributed teams
• Strong analytics skills and experience using data to drive performance improvements
• Experience developing clear operational documentation and workflows
• Experience working closely with Product Operations, Training, Data Analytics, and Engineering to improve operational workflows and tools

Desirable Qualifications 

• Experience in mapping, geospatial, AI data annotation, or autonomous vehicle operations
• Experience managing international or vendor-based workforces
• Familiarity with operational dashboards and analytics tools (e.g. SQL, Mode, Looker, Tableau, etc.)
• Experience launching or scaling large operational programs

The base salary range for this position is $115K - $165K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-SP1

#Mid-Senior