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.

Why you'll love this role

As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate. 

What you'll do

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
• Build and support reusable framework to ingest, integration and provision data
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud
• Define and implement automation of jobs and testing
• Optimize the data pipeline to support ML workloads and use cases
• Support mission critical applications and near real time data needs from the data platform
• Capture and publish metadata and new data to subscribed users
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
• Participate in design and code reviews
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you

• 5 to 7 years experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
• 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years' experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor's degree in Computer Science, or a related technical field

Why you'll love this role

As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate. 

What you'll do

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
• Build and support reusable framework to ingest, integration and provision data
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud
• Define and implement automation of jobs and testing
• Optimize the data pipeline to support ML workloads and use cases
• Support mission critical applications and near real time data needs from the data platform
• Capture and publish metadata and new data to subscribed users
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
• Participate in design and code reviews
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you

• 5 to 7 years experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
• 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years' experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor's degree in Computer Science, or a related technical field

Bird launched micromobility. Now we’re shaping its future.

We’re Bird, and we’re on a mission to transform the way the world moves one ride at a time. Our products, services, and people share one common goal: to make cities more livable by empowering people and communities everywhere to move freely, discover new possibilities, and create a cleaner, more connected future. To cleaner air. To calmer streets. To cities built for people.

Who We Are

Bird is a global leader in micromobility, dedicated to shaping the future of urban movement. Our cleaner, affordable, and on-demand mobility solutions are available in over 200 cities worldwide.

We take a collaborative, community-first approach to micromobility. Bird partners closely with the cities in which it operates, leveraging our experience and safety-first technology to help them meet their shared mobility and climate goals and provide a reliable, affordable, and responsible transportation option for people who live and work there.

Our award-winning electric vehicles have empowered more than eighty-seven million rides in cities around the world and helped riders take carbon-free trips in more than 200 cities globally. And our teams are constantly pushing boundaries and challenging the status quo in pursuit of a brighter future.

Job Summary

The Operations Partner is a critical logistical role essential to Bird's success in Detroit, MI. You will take responsibility for the logistics of the local fleet of e-scooters and e-bikes, ensuring they are charged, safe, and positioned correctly to meet the community's transportation needs.

We are looking for entrepreneurial individuals or logistics businesses ready to hit the ground running. Whether you are a solo operator with a single van or a fleet owner capable of deploying multiple drivers, you can scale this partnership to fit your capacity.

You will have the flexibility to choose how you operate:

• Maximize earnings by securing your own space (warehouse/facility) to charge vehicles overnight.
• Streamline operations by simply retrieving and transporting vehicles to our central warehouse.

Important Details About the Role:

• This is an independent contractor position, not an employee role.
• You are responsible for your own tools, equipment, and any associated expenses required to complete your work.
• As an independent contractor, you manage your own schedule and workload to meet the operational needs of Bird.

Responsibilities

• Fleet Transportation: Utilize your vehicle(s) or fleet to collect, deploy, relocate, and retrieve e-scooters and e-bikes across Detroit daily.
• Operational Management: Manage the end-to-end operation of your assigned portfolio, ensuring vehicles are available in high-demand areas.
• Maintenance & Quality: Perform light field checks to ensure vehicles are safe and environmentally friendly.
• Field Execution: Problem-solve in real-time to overcome obstacles, prioritize tasks, and navigate local geography efficiently.

Must Haves

• Vehicle Access (Required): Must own or have consistent access to at least one large vehicle (van/truck) suitable for transporting multiple scooters/bikes. Fleet owners with multiple vehicles/drivers are encouraged to apply.
• Storage Space (Asset): Access to a garage, warehouse, or commercial facility with electricity is highly preferred for maximizing earnings (allows for overnight charging).
• License: Valid Class 5 Driver's License (or applicable commercial license) with a clean driving record for all operating drivers.
• Physical Ability: Ability to lift up to 50 pounds repeatedly; must be able to stoop, bend, walk, and stand for long periods while handling heavy equipment.
• Availability: Flexible schedule with a willingness to regularly operate on weekends.
• Tech-Savvy: Comfortable learning new mobile tools to locate and manage the fleet.
• Local Knowledge: Strong knowledge of Detroit's local geography.

Why Bird Matters

Every time you hop on a Bird, you’re helping build a more livable city. We focus on four core pillars that reflect the impact of every ride:

• Freedom: We're the bridge that connects you to every experience—simple, convenient, and stress-free. We give you the freedom to move without limits.
• Exploration: We turn everyday trips into memorable experiences, sparking discovery and wonder as you connect with the world around you.
• Community: Taking a Bird is an act of citizenship. We create a sense of belonging and unity, knowing that the richer our communities become, the richer our lives become.
• Sustainability: Our electric vehicles reduce gas-powered car usage and lower carbon emissions. We enable responsible choices, creating tangible impact and driving progress toward a cleaner future.

#INPR1

#LI-DNI

ABOUT SHINOLA

At Shinola, we make beautiful, enduring, handcrafted goods that are built to be lived in, worn out, and well-loved.  Our thoughtful craftsmanship, timeless design, and spirited stories inspire our customers to live well, with confidence & joy—in a style that is uniquely their own!  Because we are a growing and evolving company, each employee is a key stakeholder, making decisions every day that directly impact our overall vision and direction. At Shinola, you’ll have the opportunity to make a significant contribution at the start of what we believe will become an iconic American brand.  

ABOUT THE ROLE 

The Material Handler plays a key role in supporting daily factory operations by ensuring materials and products are accurately received, stored, and distributed. This position is responsible for managing the flow of goods in and out of the facility, helping maintain inventory accuracy, and supporting production teams with timely material delivery. This is a hands-on role in a fast-paced environment with the opportunity to contribute directly to operational efficiency and product quality. 

KEY RESPONSIBILITIES 

• Receive, unload, and verify incoming shipments for accuracy and quality 
• Accurately record and store materials in designated locations 
• Pick, stage, and deliver materials to support production lines
• Pack and prepare outbound shipments in accordance with company standards 
• Perform cycle counts and assist with annual physical inventory 
• Monitor inventory levels and report discrepancies, damages, or shortages 
• Fulfill internal requests for surplus or replacement parts 
• Maintain organization and cleanliness of stockroom and warehouse areas 
• Utilize RF scanners and internal systems to track inventory movement 
• Follow all company policies, safety procedures, and operational guidelines 

 QUALIFICATIONS 

• High school diploma or equivalent experience 
• 1+ years of experience in shipping, receiving, warehouse, or material handling preferred 
• Ability to work independently with a strong sense of urgency and accountability 
• Comfortable working cross-functionally in a team-oriented environment
• Strong attention to detail and organizational skills
• Basic math and computer proficiency; willingness to learn new systems and RF devices 
• Strong communication and interpersonal skills 
• Ability to lift 30–50 lbs and stand for extended periods of time
• Ability to read labels and follow written instructions accurately 

Note: This job description is not meant to be all-inclusive.  Employee may be required to perform other duties to meet the ongoing needs of the organization.

Filson and Shinola are equal opportunity employers. We believe that every employee has the right to work in surroundings which are free from all forms of unlawful discrimination.  It is our policy that all decisions involving any aspect of the employment relationship will be made without regard to race, color, sex, religion, age, national origin, marital status, sexual orientation, gender identity, the presence of any sensory, mental, or physical disability, veteran and military status, genetic information, political ideology or any other status or characteristic protected by local, state or federal law.  Discrimination and/or harassment based on any of those factors are totally inconsistent with our philosophy of doing business and will not be tolerated.

With regard to applicants or employees with disabilities, the company offers what the law refers to as "reasonable accommodation" to enable a person to perform his or her job.

Why you’ll love this role

Interested in growing your career on the cutting edge of culture, working for the company selling the hottest brands and products around the world? You will be an integral member of an exciting, hyper-growth company as we continue to expand our operations globally. If you enjoy working in a start-up culture, where ambiguity inspires your creativity, StockX, may be the place for you!

The Seasonal Operations Specialist role will be fundamental to the success of the business, supporting the Verification Experts to ensure items are unboxed correctly for processing as well as making sure that the items are handled and packaged correctly for outbound shipment.

What you’ll do 

• Unloading trucks and palletizing boxes
• Opening boxes and scanning shipping labels
• Using apps and computer software to complete the order fulfillment process
• Boxing items, working with packaging equipment, and ensuring labels are accurately placed on boxes
• Identify opportunities to improve efficiency of the operations process

About you 

• High School diploma/GED
• Experience in warehouses or retail environments unloading trucks and processing boxes
• Sense of urgency to perform tasks to timelines
• Comfortable in a fast-paced work environment
• Ability to work well in teams and good communication skills
• Strong attention to detail

Nice to have skills 

• Warehouse experience
• Fashion retail background 

• The Verification Center is a warehouse environment with working conditions found in a typical warehouse setting. Closed toed and closed heel shoes are required. Team members in this environment will be required to stand, walk, bend, stoop, turn, and pivot more than 75% of the time.
• May push, pull, and lift up to 50 pounds (or 23kg); on occasion a team-lift of up to 100 pounds (or 45kg) and may be required to bend, twist, kneel and squat regularly.
• This role may require you to ascend or descend ladders, stairs, ramps, and the like on a frequent basis depending on site location.

Pursuant to the various pay transparency laws/acts, the base salary is $15.00/hr USD plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation is dependent on geography and may vary.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

ABOUT ROCKET MONEY🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.

Our team values:

• Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
• Impact - We transform raw data into strategic insights that drive business decisions
• Growth - We continuously refine our craft while supporting each other's professional development

We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.

Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote

IN THIS ROLE, YOU'LL:

• Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
• Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
  • Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
  • Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
• Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
• Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
• Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
• You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.

ABOUT YOU 🦄

Technical Leadership

• You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
• You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
• You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.

Strategic & Business Acumen

• You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
• You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.

People Leadership

• You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
• You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.

Communication & Collaboration

• You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
• You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.

Growth Mindset

• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Client Automation Specialist (Field Service Technician)

Location: Detroit, MI (Romulus, MI)
Service Area: 100 Mile radius to Detroit

At Ernest, we’re more than a packaging company — we’re problem solvers, innovators, and partners in our clients’ success. We’re looking for a Client Automation Specialist to join our Detroit Division — someone who thrives on hands-on technical work, enjoys being on the road, and takes pride in helping clients keep their operations running smoothly.

As a key member of the Ernest team, you’ll be the trusted expert supporting our clients who purchase or lease packaging and warehouse equipment. You’ll install, service, and maintain machinery, diagnose and repair issues, and provide the kind of customer service that keeps clients coming back.

What You’ll Do

• Partner closely with sales reps and customers to provide expert equipment and machinery knowledge.
• Facilitate and oversee installation and start-up of newly sold equipment.
• Provide warranty service and support on equipment sold.
• Train customers on proper care, operation, and maintenance of their equipment.
• Maintain, modify, and repair client equipment as needed.
• Ensure accurate billing for all services performed.
• Maintain organized customer service records for all clients using Ernest equipment.
• Communicate important customer needs or issues to management as discovered during service calls.
• Promote and sell Preventative Maintenance Programs to clients using Ernest equipment.
• Manage the ordering and inventory of spare and replacement parts.
• Stay current with and train on new equipment lines carried by Ernest.
• Maintain and inspect demo equipment, keeping detailed reports for every use.

What You Bring

• Exceptional customer service and communication skills — you’re as comfortable in front of a client as you are behind a toolbox.
• Strong mechanical and electrical aptitude with the ability to troubleshoot effectively.
• Self-motivated and organized — you can prioritize work independently in the field.
• Proven ability to identify and resolve problems quickly, minimizing client downtime.
• Electrical and mechanical experience gained through the U.S. military or equivalent training.
• Ability to source parts from multiple vendors as needed.
• Proficiency in reading equipment and electrical schematics/drawings.
• Skilled in diagnosing and repairing mechanical or electrical issues efficiently.
• Comfortable making equipment recommendations and presentations to clients.
• Adaptable to varied work environments, from warehouse floors to outdoor installations.
• Valid driver’s license with a clean driving record (as required by state or location).

Why Ernest

At Ernest, your work goes beyond machinery — it’s about connection. You’ll be part of a team that believes when one person moves ahead, we all move forward. You’ll have the opportunity to grow your technical skills, build long-term client relationships, and make a real impact every day.

Pay range: $25 - 40/hour DOE 

Please learn more about Ernest by watching some of our Youtube videos:

Newest Company Video with Keanu Reeves!