About the Role

Our Product Pricing & Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto's full product suite.

We're looking for a Senior Pricing and Monetization Manager to focus across our platform. portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You'll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.

What You'll Do

• Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.
• Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.
• Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.
• Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.
• Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.
• Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.

What We're Looking For

• Background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS
• Background in B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field.
• An AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.
• A strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis.
• Executive relationship management and communication. You’ll be presenting and working on topics for our executives, board, and senior leaders across Gusto.
• Exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.
• Clear, concise communicator, able to distill complex ideas for any audience
• Thrives in fast-moving environments; able to pivot quickly and manage competing priorities
• Curious, growth-oriented, and genuinely passionate about pricing

Nice to Have

• Experience developing and delivering pricing and go-to-market recommendations in product, marketing, finance, or consulting.
• Experience with technical pricing research, like conjoint or max diff analysis, or other quantitative research techniques. 
• Expertise in technical data analysis skills, like SQL, Python or R. Expect underlying foundation coupled with ability to use AI to execute.
• Familiarity with the latest AI tools to help with coding or data analytics tools such as Claude, Cursor, Gumloop

Compensation

Our cash compensation amount for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-Hybrid

About the Role

Gusto is looking for a Paid Social Marketing Lead to own our paid social program end-to-end, from brand awareness through conversion, across social channels such as Meta, LinkedIn, Reddit, and TikTok. This is a high-visibility, high-impact role at the intersection of performance marketing, creative strategy, and AI-powered workflow design. You will serve as the strategic lead for paid acquisition across paid social and adjacent channels, setting the framework for how paid media operates within Gusto's demand generation engine. You'll have full strategic and creative latitude over one of Gusto's most important acquisition channels, with direct influence on pipeline and revenue. If you're a full-funnel paid social operator who thinks in systems, holds creative and data rigor in equal measure, and uses AI as a genuine daily tool, we want to meet you.

About the Team

As a member of Gusto’s Demand Generation team, you will be embedded specifically within Paid Acquisition, a focused group responsible for driving awareness and pipeline through paid media. This team operates with high autonomy, a bias for experimentation, and a culture of cross-functional partnership. We hold ourselves to a high standard, move fast, and genuinely believe that being AI-native is part of what it means to do this job well today.

Here's what you'll do day-to-day:

• Own paid social strategy and execution across Meta, LinkedIn, Reddit, Quora, and TikTok, driving full-funnel campaigns from brand awareness through retargeting and conversion, with accountability to pipeline and revenue targets.
• Manage significant, multi-million dollar budgets with rigor, including campaign pacing, forecasting, budget-vs-actuals analysis, and making the case for paid social investment in imperfect attribution environments.
• Define and socialize Gusto's paid acquisition measurement framework, including attribution philosophy and budget allocation principles, establishing this as the standard for the broader marketing team.
• Lead creative strategy and testing at scale: briefing creative studios and agencies, structuring meaningful experiments, interpreting complex data sets to drive actionable insights, and building a clear learning roadmap.
• Act as Gusto's internal subject matter expert on paid social and AI-powered marketing workflows, developing playbooks and frameworks adopted across the marketing org.
• Partner with Web Marketing to align on landing page strategy, message match, and post-click conversion, because paid social performance doesn't end at the click.
• Manage agencies and contractors, and an IC by setting clear expectations, reviewing quality, and holding partners accountable to results.
• Use AI tools as a consistent, habitual part of your workflow: generating campaign briefs, developing copy variants, accelerating audience research, and building reusable systems that raise the bar for the whole team.
• Collaborate cross-functionally with Integrated Marketing, Communications, and Web to align paid social with integrated campaigns, product launches, and earned media moments, and bring performance data back upstream to influence creative production and asset strategy.

Here's what we're looking for:

• 12+ years of paid social experience or equivalent at a B2B SaaS, performance marketing agency, or high-growth consumer organization.
• Full-funnel ownership across two or more major paid social platforms (Meta, LinkedIn, Reddit, Quora, TikTok) with significant budget responsibility and a track record of driving measurable pipeline impact.
• Demonstrated experience managing external agencies and/or contractors, setting expectations, measuring performance, and holding partners to a high bar.
• Strong creative strategy and testing instincts: you know how to structure a test, distinguish a learning from a result, and translate performance data into creative direction.
• AI-fluent in practice, not just in theory; you use AI tools consistently in your day-to-day workflow to accelerate briefs, copy, and analysis, and have a track record of implementing AI-driven efficiencies for your team.
• Excellent cross-functional collaborator who can translate integrated briefs into paid social strategy, advocate for what the channel needs, and work effectively alongside brand, web, and comms partners.
• You are analytical and data-driven, with a clear point of view on attribution in imperfect measurement environments and comfort communicating paid social's contribution to business outcomes.

Compensation

Our cash compensation amount for this role is $151,020/yr to $180,000/yr in Denver, Phoenix/Scottsdale, Las Vegas, Chicago, and Atlanta, and $177,550/yr to $210,000/yr for San Francisco & New York. The cash compensation range for Toronto is (CAD) $134,285 - $158,000. Final offer amounts are determined by multiple factors including candidate location, experience and expertise, and may vary from the amounts listed above.

The Role: 

The Sales Enablement team sits within our Revenue Operations organization, the linchpin of our world-class sales experience. Learning Partners play a critical role in executing enablement strategies to drive revenue growth and feature adoption across sales. This role owns the learning lifecycle for business insurance products (e.g., Workers’ Comp, BOP, Commercial Auto, E&O) and PEO sales and partners closely with leaders on onboarding, continuous education, and high-performance skill development. You will design and implement learning solutions that include high-impact learning assets, self-paced content, and facilitated experiences.

We are seeking an individual with expertise in learning science, strong consulting capability, and experience in professional sales or business development. You are passionate about enabling HR solution sellers with the content, tools, insights, and training they need to win more business while exceeding the expectations of our existing clients. You align with our company values, are highly self-motivated to drive results, and bring a relentless curiosity to continuously deepen product knowledge and scale enablement at pace in a fast-moving environment.

Responsibilities:

• Collaborate with stakeholders and partners including revenue, revenue operations and other cross functional leads to determine sellers learning and performance needs and priorities to achieve business results
• Diagnose skill and knowledge gaps and independently design and deliver enablement solutions that drive measurable improvements in capability, productivity, and revenue—often with limited information, tight timelines, and minimal support.
• Apply learner-centered design principles while balancing speed, pragmatism, and impact, tailoring solutions based on observation, stakeholder input, and the depth of learning required for performance.
• Define and track KPIs to measure the impact of enablement initiatives, including time-to-performance, and use data to quickly iterate and refine solutions.
• Design, build, and deliver onboarding, continuous training, and just-in-time learning experiences with a bias toward action, rapid development, and scalable execution to keep our sales teams on the cutting edge
• Partner cross-functionally to ensure enablement content remains current and optimized for seller workflows, even as priorities and product capabilities evolve quickly
• Cultivate a community of expert practitioners, crowdsourcing best practices and user-generated content to continuously improve enablement
• Monitor industry trends and competitive dynamics, adapting enablement priorities quickly as business needs change
• Research and apply emerging AI tools and methodologies to accelerate design, development, and delivery while maintaining quality and effectiveness.

Here’s what we're looking for:

• 12+ years of experience in sales enablement, training, or sales leadership supporting high-volume HR solution sales, ideally in PEO or licensed business insurance sales (EG: Workers’ Comp, BOP, Commercial Auto, E&O).
• Proven track record of designing and delivering highly effective enablement programs that drive measurable improvements in sales performance and productivity
• Demonstrated ability to independently lead learning initiatives end-to-end, from needs analysis through delivery and post-program evaluation, while managing multiple competing priorities.
• Experience designing and facilitating new hire training and continuous education training for licensed sales teams focused on growth 
• Strong analytical, communication, and presentation skills, with the ability to influence stakeholders and work cross-functionally to ensure learning objectives translate into real performance outcomes 
• Solid foundation in instructional design and adult learning theory, with the judgment to select appropriate modalities based on speed, scale, and impact
• Hands-on experience with content creation, curation, and knowledge management platforms, paired with a genuine passion for sales and finding creative ways to make sellers more effective
• Comfort operating in urgency and ambiguity, with the resilience, conflict management skills, and composure required to thrive in a fast-paced environment
• Willingness to travel up to 20% annually

Preferred Qualifications:

• Knowledge of the payroll industry 
• An advanced degree or certificate in enablement, education or organizational science 
• Experience with GSuite, Salesforce, Slack, Notion, AI tools along with various learning management systems and authoring tools

Our cash compensation amount for this role is targeted at:
$177,000 - $200,000 in San Francisco, CA; New York, NY 
$150,000 - $170,000 in Denver, CO;  Phoenix, AZ; Atlanta, GA; Chicago, IL

If you are outside of the geographic areas above, your application will not be considered at this time.

Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the Role:

The Franchise Account Executive role is an opportunity to help build and scale one of Gusto's newest growth channels. Franchise represents a massive and largely untapped market, and this team is focused on activating franchise owners across established partner networks and high-potential industries. As a Franchise AE, you'll operate in a true outbound motion — prospecting into multi-unit operators, building relationships with influential owners, and closing new business that can scale across locations.

You'll also help shape the playbook for how Gusto sells into franchise ecosystems as we grow this program into a durable revenue engine for the company.

You'll partner closely with our Franchise Partner Manager (who develops relationships with franchisors) and a dedicated BDR (focused on high-volume activations). Your role is to lead strategic pursuits, unlock influential operators, and build the repeatable sales motion for selling into franchise ecosystems.

Here’s what you’ll do day-to-day:

• Own new franchise revenue generation. Prospect into franchise ownership groups within Gusto’s partner networks and target industries, building pipeline through outbound outreach and relationship development with multi-unit operators and influential franchise owners.
• Execute and refine the franchise sales playbook. Leverage the existing franchise sales motion to drive consistent pipeline and deals, while providing feedback and insights that help improve messaging, targeting, and overall execution as the program scales.
• Run the full sales cycle. Manage deals from prospecting through close, partnering with BDRs who support high-volume outreach while focusing your time on larger ownership groups and strategic franchise opportunities.
• Develop relationships with influential franchise operators. Engage multi-unit owners, directors of operations, and regional leaders to understand operational needs and position Gusto as a scalable payroll and workforce platform across multiple locations.
• Partner cross-functionally to drive franchise success. Collaborate with the Franchise Partner Manager, Sales Ops, and Marketing to activate franchise networks, support partner initiatives, and identify opportunities to expand within existing franchise relationships.
• Build referenceable wins within franchise networks. Secure early customer success stories and multi-location operators that can serve as proof points and accelerate adoption across additional franchisees.
• Drive consistent outbound pipeline generation. Maintain a disciplined outbound motion across named franchise accounts and industry segments, using a mix of calls, emails, LinkedIn outreach, and events to create new opportunities.
• Represent Gusto in franchise communities. Attend franchise conferences, regional events, and industry gatherings to build relationships, generate pipeline, and strengthen Gusto’s presence in the franchise ecosystem.
• Achieve and exceed revenue targets. Consistently deliver against quarterly targets for MRR and new customer adds while contributing insights that help scale the franchise program over time.
• Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next.

Here’s what we're looking for:

• 3+ years of quota-carrying B2B SaaS AE experience, ideally with outbound new business in SMB, mid-market, or franchise/multi-unit contexts. 
• Proven track record as a hunter — generating your own pipeline, landing new logos, and expanding into complex accounts.
• Payroll sales experience is a strong plus.
• Experience navigating multi-unit and franchise structures (franchisors, franchisees, regional/holding companies) is a strong plus.
• Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes.
• Strong discovery and storytelling skills — able to uncover compliance, payroll, and onboarding pain points and tie them to ROI.
• Comfortable partnering with BDRs: coaching, collaborating on sequences, and maximizing top-of-funnel conversion.
• Entrepreneurial mindset — thrives in building new motions, testing playbooks, and iterating quickly.
• Willingness to travel 25–35% of the time to conferences and in-market opportunities.

The on-target earnings (OTE) for this role range from $134,000/yr to $155,000/yr in Denver, Atlanta, Chicago & Las Vegas, and $126,000/yr to $144,000/yr in Phoenix. This OTE is structured with a target 60% base pay and 40% commission pay with an uncapped commission structure. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

About the Role:

We are seeking a highly motivated and licensed Property & Casualty (P&C) Insurance Broker to join our team as part of a critical pilot to launch a P&C broker model at Gusto. You will be essential in evolving Gusto's business insurance channel by acting as a licensed agent to quote and issue business insurance policies with our NEXT Insurance carrier partner. You will use your expertise to provide direct support and an improved experience for small business customers with complex insurance needs, helping to capture meaningfully higher revenue and accelerating the development of our AI Insurance Advisor.

About the Team:

This team is crucial to solving customer experience gaps and optimizing our offline insurance channels. You will be a SME who is part of the "human-in-the-loop" workflows required to train and optimize Gus as an AI insurance advisor. Our collective vision is to be an expert advisor that supports small businesses through every stage of growth, with this pilot being key to establishing our digital insurance agency and licensed agent integration.

Here’s what you’ll do day-to-day:

• Make outbound dials to prospective and existing small business clients to assess their complex P&C insurance needs and recommend suitable coverage options.
• Quote and issue Property & Casualty policies, primarily with the NEXT Insurance carrier, in our offline sales channel.
• Achieve required daily, weekly, and monthly sales activity expectations. 
• Provide human-in-the-loop support to optimize the AI Insurance Advisor, Gus, and assist customers with more complex needs.
• Maintain client relationships, manage policy renewals, and facilitate changes or endorsements to existing policies.
• Act as a trusted liaison between clients and carriers, including assisting clients with reports of losses and claims settlement when necessary.
• Actively work to cross-sell and up-sell additional P&C lines of coverage and strive to achieve monthly production goals for units and/or revenue.
• Maintain accurate and up-to-date client records and policy documentation within CRM systems (SFDC workflow).
• Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next.
• Stay current on industry trends, products, regulations, and underwriting guidelines to provide accurate advice and ensure compliance.

Here’s what we're looking for:

• Experience in the field: Proven experience in insurance sales or brokerage, with coverage level knowledge of commercial P&C products (e.g., Workers' Compensation, BOP, Commercial Auto, E&O). [4+ years]
• Licensing: An active Property & Casualty insurance producer’s license
• Communication & Interpersonal Skills: Excellent verbal and written communication, active listening, and strong interpersonal skills to build rapport and explain complex concepts clearly.
• Sales & Negotiation: Strong sales and negotiation abilities with a proven ability to meet sales targets.
• Technical Proficiency: Working knowledge of carrier quoting systems, proficiency in insurance software, and familiarity with CRM systems like Salesforce (SFDC). 
• Comfortable using AI tools and automation to enhance productivity, decision-making, and problem-solving.
• Mindset: A demonstrated passion for delivering an incredible customer experience and genuine empathy for small business owners.
• Attributes: Highly self-motivated, goal-oriented, and an entrepreneurial ownership mentality to thrive in a fast-paced, high-energy environment.
• AI Fluency: Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes.

Our cash compensation amount for this role is $109,390 to $134,000 OTE for Denver, Atlanta, Chicago & Las Vegas. $102,855 to $126,000 OTE for Phoenix. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

About the Role:

The Sales Enablement team sits within our Revenue Operations organization, the linchpin of our world-class sales experience. Learning Partners play a critical role in executing enablement strategies to drive revenue growth and feature adoption across sales. This role owns the learning lifecycle for Expansion Sales and partners closely with leaders on onboarding, continuous education, and high-performance skill development. You will design and implement learning solutions that include high-impact learning assets, self-paced content, and facilitated experiences.

We are seeking an individual with expertise in learning science, strong consulting capability, and experience in professional sales or business development. You are passionate about enabling Expansion Sellers (upsell/cross-sell/renewal revenue motions) with the content, tools, insights, and training they need to win more business while exceeding the expectations of our existing clients. You align with our company values, are highly self-motivated to drive results, and bring a relentless curiosity to continuously deepen product knowledge and scale enablement at pace in a fast-moving environment.

Here’s what you’ll do day-to-day:

• Collaborate with stakeholders and partners including revenue, revenue operations and other cross functional leads to determine sellers learning and performance needs and priorities to achieve business results
• Diagnose skill and knowledge gaps and independently design and deliver enablement solutions that drive measurable improvements in capability, productivity, and revenue—often with limited information, tight timelines, and minimal support.
• Apply learner-centered design principles while balancing speed, pragmatism, and impact, tailoring solutions based on observation, stakeholder input, and the depth of learning required for performance.
• Define and track KPIs to measure the impact of enablement initiatives, including time-to-performance, and use data to quickly iterate and refine solutions.
• Design, build, and deliver onboarding, continuous training, and just-in-time learning experiences with a bias toward action, rapid development, and scalable execution to keep our expansion sales teams on the cutting edge
• Partner cross-functionally to ensure enablement content remains current and optimized for seller workflows, even as priorities and product capabilities evolve quickly
• Cultivate a community of expert practitioners, crowdsourcing best practices and user-generated content to continuously improve enablement
• Monitor industry trends and competitive dynamics, adapting enablement priorities quickly as business needs change
• Research and apply emerging AI tools and methodologies to accelerate design, development, and delivery while maintaining quality and effectiveness.

Here’s what we're looking for:

• 8+ years of experience in sales enablement, training, or sales leadership supporting multi-product sales and expansion revenue motions (upsell, cross-sell, renewals), ideally in a high-volume environment.
• Proven track record of designing and delivering highly effective enablement programs that drive measurable improvements in sales performance and productivity
• Demonstrated ability to independently lead learning initiatives end-to-end, from needs analysis through delivery and post-program evaluation, while managing multiple competing priorities.
• Experience designing and facilitating new hire training and continuous education training for expansion/customer success/retention teams focused on growth 
• Strong analytical, communication, and presentation skills, with the ability to influence stakeholders and work cross-functionally to ensure learning objectives translate into real performance outcomes 
• Solid foundation in instructional design and adult learning theory, with the judgment to select appropriate modalities based on speed, scale, and impact
• Hands-on experience with content creation, curation, and knowledge management platforms, paired with a genuine passion for sales and finding creative ways to make sellers more effective
• Comfort operating in urgency and ambiguity, with the resilience, conflict management skills, and composure required to thrive in a fast-paced environment
• Willingness to travel up to 20% annually

Preferred Qualifications:

• Knowledge of the payroll industry 
• An advanced degree or certificate in enablement, education or organizational science 
• Experience with GSuite, a Mac, Salesforce, Slack, Notion, AI tools along with various learning management systems and authoring tools

Our cash compensation amount for this role is $108,570 to $163,500 for Denver, Atlanta, Chicago & Las Vegas. $131,430 to $192,500 for San Francisco & New York. $102,040 to $163,500 for Phoenix. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

The Creative Marketing Design Specialist is a unique, integrated role: embedded with the Global Partnerships team at T Mobile Arena in Las Vegas while also serving as a member of the Los Angeles based Creative team. This position acts as a key partner to Sales, Activation, Premium, Events, and Performance Optimization, translating partnership strategies into high-impact, on-brand creative assets. This role is responsible for managing multiple moderately complex projects simultaneously while ensuring alignment with organizational goals and branding standards. With a strong focus on collaboration, the Creative Marketing Design Specialist works seamlessly across departments to deliver innovative and high quality materials that drive partnership value and business objectives.

Essential Functions

• Designs compelling sales and marketing presentations using tools such Adobe Creative Suite (Photoshop, InDesign, Illustrator, Premier), Figma (Design, Slides, Buzz), PowerPoint and Ceros for all AEG business units. Collaborates closely with Sales and Activation teams to understand strategic partnership goals and translate them into visually engaging materials.
• Determines content needs by gathering, organizing, and presenting information in a clear and concise manner, while ensuring the design aligns with AEG and Global Partnerships (GP) brand standards.
• Leads and follows best practices in the proposal development process, ensuring timely and effective execution of innovative sales materials that support Global Partnerships’ business objectives.
• Supports brand-building initiatives by developing and maintaining branded templates, graphics, and design elements used across all GP marketing and sales platforms.
• Partners with the Data Analytics team to brainstorm, design, and deliver custom charts, graphs, and data visualizations that enhance storytelling within proposals and presentations.
• Participates in bi-weekly Global Partnerships Creative Team meetings and collaborates with creative teams across AEG’s divisions to share and present new design concepts, ensuring alignment with AEG-wide creative standards and sharing best practices.
• Manages the Global Partnerships asset library—including sales, activation, and internal resources—by regularly updating and organizing assets, maintaining version control, and ensuring accessibility for internal and external use. Provides training and ongoing support to Sales and Activation teams on how to effectively use these materials. Proactively updates collateral to reflect changes in business needs, ensuring that all materials remain current, relevant, and aligned with branding guidelines.

Required Qualifications

• BA/BS Degree (4-year) Graphic Design, Visual Communications or a related area.
• 2-4 years related experience.
• Experience with Adobe InDesign & MS Office Suite (Word, Excel, Outlook).
• Experience with Graphic Design: posters, logos, & infographics, Photography, Video Production, & Web Design.
• Experience with gathering and documenting business requirements.
• Proven experience developing sales/marketing collateral, presentations, digital graphics, and branded assets across multiple platforms.
• Experience working within a corporate brand or with brand guidelines, particularly in a fast-paced or client-facing environment.
• Strong proficiency with Photoshop, Adobe InDesign, Ceros, PowerPoint, Photoshop, and Illustrator.
• Organizational skills, with the ability to set priorities, problem solve, think strategically, multi-task, pay attention to detail, and meet tight deadlines.
• Good written and verbal communication, presentation, and interpersonal skills, with the ability to work independently, as well as in a team environment.
• Ability to present information in a clear and concise manner, while focusing on providing a strong aesthetic that is in sync with AEG and Global Partnerships brand equity.
• Understands the core principles of research, marketing, copywriting, and how they correlate to sales & servicing.
• Passionate about emerging media & trends.
• Design or Marketing certification preferred.

Pay Scale: $65,000.00 - $75,000.00

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

About the role:

This is a high energy role in which you will bring the Internet of Things to small to medium size customers, building Samsara's business and bringing the benefits of sensor data to customers. Typical sales will be $5k to $20k, and typically involve proof of concepts, multiple stakeholders, multi-faceted pricing negotiations, and selling to owners, safety and operational managers.

This is a remote position open to candidates residing in the US.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• Your mantra is #alwaysbeprospecting: The world of operations is vast. Your customers are often out in the field and the best way to catch them is live on the phone. Samsara’s top reps do constant research to find companies and contacts to expand their pipeline.
• You have innate curiosity in how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 
• You are a life-long learner: Samsara sales are complex. You will need to learn about businesses where you previously had little knowledge. The payoff is big but you have to be willing to put in the work. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance Sales culture means you’ll be surrounded by the best and challenged to go farther than you have before. 

In this role, you will: 

• Own customer engagements end-to-end, from prospecting and qualification to close.
• Generate pipeline through strategic outbound prospecting, as well as receive inbound leads from our account development team.
• Target accounts with 11-30 vehicles. 
• Experience handling and owning transactional sales process with high volume demands.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for this role:

• 1+ years of experience in a closing sales role

An ideal candidate has:

• Proven track record of consistent quota achievement
• Experience selling in the commercial space - small to medium deals sizes
• Experience with high-volume cold calling
• Experience in fast-paced, transactional sales
• Must demonstrate a growth mindset and a willingness to be collaborative with your teammates and in your selling process
• SFDC familiarity

Motional’s Talent Acquisition Team recruits and supports world class talent. We are actively looking for a Talent Acquisition Sourcer to support all areas of technical hiring within our Autonomy Department. We are hoping you’ll be interested to join us!

What you’ll be doing:

• Research and execute to identify and attract talented technical individuals at all levels.
• Build long standing relationships with sourced candidates to best represent the Motional teams and culture
• Deep dive and cultivate difficult to find talent to join our teams
• Demonstrate expert knowledge of Motional’s roles, focusing on machine learning, software engineering and more technical capabilities.
• Provide a best in class candidate experience as the initial contact. 
• A drive to not only find talent, but create strategic ways to build long standing relationships with those that are not ready to join us today. 
  
  

What we’re looking for:

• 3+ year of relevant sourcing or recruiting experience/working with candidates and clients within Software Engineering functions
• ATS experience (Greenhouse preferred but not required)
• Experience using LinkedIn Recruiter and other sourcing tools.
• Strong ability to screen candidates for interest level and high level details.
• Strategic partner mindset with recruiting and clients
• Excellent communication and interpersonal skills
• BA/BS degree or equivalent practical experience
  
  

It's a bonus if you have:

• Experience sourcing for niche or highly technical roles in the AV industry
  
  

Why You Should Join Us:

• Motional fosters a culture of inclusion and learning. The Talent Acquisition team works in a collaborative based approach to fill an exceptionally high number of roles, in a short amount of time, with only the highest expectations of support and guidance to get the job done as a team. We celebrate the big wins, and we support and help guide/grow when there are losses. We hope you considering joining us on the mission to build and foster a world class organization within Motional.
  
  

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

Motional’s Talent Acquisition Team recruits and supports world class talent. We are actively looking for a Talent Acquisition Sourcer to support all areas of technical hiring within our Autonomy Department. We are hoping you’ll be interested to join us!

What you’ll be doing:

• Research and execute to identify and attract talented technical individuals at all levels.
• Build long standing relationships with sourced candidates to best represent the Motional teams and culture
• Deep dive and cultivate difficult to find talent to join our teams
• Demonstrate expert knowledge of Motional’s roles, focusing on machine learning, software engineering and more technical capabilities.
• Provide a best in class candidate experience as the initial contact. 
• A drive to not only find talent, but create strategic ways to build long standing relationships with those that are not ready to join us today. 
  
  

What we’re looking for:

• 3+ year of relevant sourcing or recruiting experience/working with candidates and clients within Software Engineering functions
• ATS experience (Greenhouse preferred but not required)
• Experience using LinkedIn Recruiter and other sourcing tools.
• Strong ability to screen candidates for interest level and high level details.
• Strategic partner mindset with recruiting and clients
• Excellent communication and interpersonal skills
• BA/BS degree or equivalent practical experience
  
  

It's a bonus if you have:

• Experience sourcing for niche or highly technical roles in the AV industry
  
  

Why You Should Join Us:

• Motional fosters a culture of inclusion and learning. The Talent Acquisition team works in a collaborative based approach to fill an exceptionally high number of roles, in a short amount of time, with only the highest expectations of support and guidance to get the job done as a team. We celebrate the big wins, and we support and help guide/grow when there are losses. We hope you considering joining us on the mission to build and foster a world class organization within Motional.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh 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.

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.

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.

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:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

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.

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.

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.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Manager, Pilot Success who will define and drive the evolution, execution, and performance of our pilot program framework — serving as the strategic engine behind accelerated revenue growth and improved win rates for our most complex enterprise accounts. This is a critical leadership role at the intersection of people leadership, process innovation, AI-driven efficiency, and executive stakeholder partnership. If you love building high-performing teams, transforming operations through technology, and making a direct impact on revenue outcomes — we would love to hear from you!

What you'll do:

As a Senior Manager, Pilot Success, your key area of responsibility will be optimizing the end-to-end pilot lifecycle to increase sales velocity and improve win rates, particularly for strategic enterprise accounts where successful pilot implementation is critical to securing long-term partnerships. You will oversee high-performing, cross-functional teams composed of both people leaders and individual contributors, managing departmental activities through a tiered leadership structure that balances strategic mentorship with tactical oversight. You will lead an AI implementation roadmap to automate manual workflows across pilot data analysis, reporting, and hardware provisioning — shifting your team's effort from manual data processing to high-value strategic consulting. You will own the customer journey for the pilot phase, partnering with Product and UX teams to reduce friction and enhance the experience for both internal sales teams and external prospects.

To be successful in this role you will be an exceptional people leader with proven experience managing managers across multiple workstreams, and a natural ability to influence at the executive level. The ideal candidate will bring a strong analytical mindset, deep familiarity with enterprise B2B sales cycles, and a passion for building scalable, repeatable processes that deliver measurable business outcomes.

How you'll make an impact:

• Oversee a high-performing team composed of both people leaders and specialized individual contributors, ensuring alignment with established business policies and result targets.

• Manage departmental activities through a tiered leadership structure, balancing high-level mentorship of managers with tactical oversight of critical individual workstreams to ensure operational excellence. 

• Manage the coordination of activities across the Pilot Success and Route Optimization teams, taking responsibility for results, costs, and methods.

• Lead strategic planning and change management initiatives to ensure the team meets evolving business objectives and revenue targets. 

• Align technical resources across specialized pilot workstreams to ensure high-priority enterprise accounts receive expert support. 

• Develop and execute an AI implementation roadmap to automate manual workflows in pilot data analysis, reporting, and hardware provisioning.

• Drive continuous process improvements to ensure standardized, repeatable, and scalable operations.

• Leverage AI to enhance telematics data interpretation, providing faster and more accurate ROI demonstrations to prospective customers.

• Shift team effort from manual data processing to high-value strategic consulting through the use of automated predictive insights.

• Own the "Customer Journey" for the pilot phase, partnering with Product and UX teams to reduce technical friction and enhance the user experience.

• Champion a robust feedback loop from the field to the Product organization, synthesizing pilot insights to de-risk research and development efforts.

• Translate pilot successes and process innovations into valuable sales assets, such as case studies and best practice guides, in partnership with Marketing.

• Standardize the Pilot Experience to ensure consistent brand and service delivery across different markets and industry segments. 

• Act as the senior point of escalation for high-stakes pilot engagements and critical customer issues.

• Define and analyze high-level program KPIs, including pilot influence on win rates, reduction in sales cycle time, and direct contribution to revenue goals.

• Help build reporting structures that prove the Pilot Program's direct correlation to Annual Recurring Revenue (ARR) and Customer Lifetime Value (CLV).

• Enable Sales and Solutions Engineering leadership on strategic pilot positioning and success planning for large enterprise accounts.

What you'll bring to the role:

• 8–10 years of experience in Technical Solution Selling, Customer Success, Sales Engineering, or Professional Services.

• 5+ years of direct people management experience, including a proven track record of managing other people leaders and multiple work groups.

• Demonstrated experience leveraging AI or automation technologies to drive operational efficiencies within a Revenue Support or Sales Operations environment.

• Deep understanding of complex enterprise B2B sales cycles and methodologies such as MEDDPICC or CHAMP.

• Strong analytical acumen with the ability to use data to communicate business impact to executive stakeholders.

• Exceptional leadership, negotiation, and relationship management skills with experience navigating cross-functional and executive partnerships.

• Willingness to travel occasionally for business purposes.

Why job seekers choose Geotab:

About the Role:

As a Partner Manager at Gusto, you will be responsible for driving the strategy and growth of a portfolio of Gusto Pro's largest and most strategic accounting firm partners. In this role, you will be responsible for maintaining and expanding current revenue and usage within these firms, as well as identifying, pitching, and facilitating growth opportunities. You should be comfortable building deep relationships at all levels of a partner organization, from staff accountants to managing partners, and adept at managing complex partner relationships and product configurations. Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next. You will also work cross-functionally with senior members of Gusto’s team to strengthen the partner relationship, coordinate joint efforts, and provide input as we evolve our Gusto Pro product roadmap and processes.

About the Team:

Gusto Pro is a game-changing, cloud-based platform built specifically for accounting firms. It empowers firms to streamline payroll, people operations, and advisory services for their clients, all within a single, integrated platform. Gusto Pro boasts powerful features like client dashboards, automated workflows, robust reporting, and seamless integrations with other accounting software, enabling firms to elevate their client service and skyrocket their practice growth. Learn more about Gusto Pro

Here’s what you’ll do day-to-day:

• Take a portfolio-based approach to your book of business to identify areas of risk and opportunities for revenue growth within your assigned accounting firms.
• Build detailed territory and account plans to lead Quarterly Business Reviews (QBRs) within your large partner portfolio to identify opportunities for growth, including aligning the Gusto Pro Partner Program with the partners strategic growth objectives.
• Balance both new partner acquisition (in collaboration with dedicated Partner BDR) and development of active partners.
• Act as a single point of contact for partners on behalf of aligned cross-functional sales supporting roles.
• Coordinate outreach strategy and partner enablement with cross-functional supporting functions to grow cross-sell/up-sell product adoption. 
• Lead frequent discussions (weekly status calls, upsell calls, QBRs) with partners to ensure they are leveraging the Gusto Pro platform to achieve successful business outcomes for their clients and their firm.
• Drive awareness and usage of new or updated Gusto Pro features and integrations to the partners in your book, showcasing how these advancements can benefit their clients.
• Own end-to-end execution of contract renewals and upsells, negotiating mutually beneficial terms and ensuring seamless transitions.
• Collaborate with product, design, and engineering teams to provide informed recommendations for Gusto Pro’s product roadmap, based on partner feedback and market trends, to enhance the partner and client experience.
• Navigate and update internal and external stakeholders, inclusive of C-suite executives at Gusto, partners, and cross-functional teams.
• Communicate and report to leadership on sales activity, pipeline progress, and market trends.
• Travel to meet with prospective partners. This includes representing Gusto at Industry Events and Conferences. 

Here’s what we're looking for:

• 5+ years of experience as a Partner Manager, Channel Manager, or other Sales-related function.
• A consistent track record of exceeding sales quotas and building long-term client relationships. Including negotiating complex six-figure contracts.
• Deep understanding of the accounting firm landscape, including their business models, challenges, and technology needs.
• Strong ability to articulate contractual, technical, and financial value points to partners, internal senior leaders, and executive leaders.
• A strong drive to succeed, and comfortable pushing the pace of action with partners and internal teams.
• Proven, day-to-day experience integrating AI into how you work — across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes.
• Strong analytical and problem-solving abilities – you're a strategic thinker.
• Work collaboratively but autonomously: asking for what you need, but not expecting micromanagement.
• Experience with CRM and Sales Software (e.g., Salesforce, ZoomInfo, Tableau).

Our target on-target earnings (OTE) compensation for this role is $125,000/yr to $150,000/yr in Denver, Las Vegas, Chicago, Atlanta & most remote locations, $155,000/yr to $182,000/yr for San Francisco & New York and $120,000 to $180,000 CAD for Toronto. This OTE is structured with a target 70% base pay and 30% commission pay with an uncapped commission structure. Final offer amounts and the exact base/commission split are determined by multiple factors including candidate location, experience, and expertise and may vary from the amounts listed above.

Submit your interest to join our CX team!

Gusto is seeking customer experience professionals who thrive in a fast-paced, consultative environment and are interested in being considered for future start dates in 2026. If you’d like to be considered for future opportunities with our team, please complete the form below and upload your resume. 

While start dates are still being determined for 2026, we’d love to connect! Does this sound like you? Apply below!

About the Role:

Gusto is seeking motivated, customer-centric professionals interested in being considered for future health insurance benefits customer experience opportunities in 2026. These roles are ideal for customer-facing benefits professionals who thrive in a fast-paced, consultative environment and are passionate about helping small businesses succeed.

As a seasoned Health Insurance Benefits Advocate, you will act as the single point of contact for all benefits support and renewal inquiries, enhancing user experience and serving as a subject matter expert for Gusto’s core products. You’ll help employers get group benefits for the very first time, and then help those employers continue to make important benefits decisions on an annual basis. Together, we’re not just simplifying benefits — we’re helping small businesses offer competitive, people-first benefits that support happier, healthier teams.

Here’s what you’ll do day-to-day:

• Own the customer journey by building trust, rapport, and partnership with customers through inbound and outbound phone, email, and Zoom interactions.
• Provide passionate, opinionated, consistent, expert, reliable support as a point of contact for health insurance benefits inquiries. 
• Partner with internal teams to address and resolve customer inquiries and concerns throughout the benefits renewal process.
• Leverage AI‑assisted tools to accelerate research and communication while upholding accuracy, compliance, and Gusto’s voice.
• Identify churn risk and quickly act to deliver solutions to mitigate the risk of churn, using your health insurance benefits and product knowledge and unique understanding of each individual customer.
• Build and maintain relationships built on trust and collaboration with admins to better understand and anticipate their needs.
• Think creatively, pivot quickly, live in ambiguity, and collaborate strategically. You will be required to expand your critical thinking skills and creatively problem-solve across all areas of the business, with an understanding of a variety of stakeholders and needs. 

Here’s what we're looking for:

• 3-6 years of customer experience with 1+ years of full-time experience in health insurance benefits. 
• Account Management experience preferred. 
• Life & Health Insurance Producers Licensure preferred. 
• Proven ability to proactively and reactively support customers, driving their success, happiness, and loyalty through expert guidance and creative problem-solving.
• Ability to synthesize and communicate complex subjects clearly and effectively, both verbally and in writing, with customers and internal partners.
• Experience with Salesforce, Zoom, Google Suite, Google Calendar, Gmail, and Chili Piper.
• Excels in balancing inbound calls, scheduled meetings, and email inquiries while managing and prioritizing multiple high-priority resolutions effectively.

This posting represents a general talent pipeline that spans multiple levels within our CX team. Final compensation will be determined based on the specific role, level, and experience alignment. The estimated compensation range for these roles is $21.00–$35.00 per hour.

Submit your interest to join our CX team!

Gusto is seeking customer experience professionals who thrive in a fast-paced, consultative environment and are interested in being considered for future start dates in 2026. If you’d like to be considered for future opportunities with our team, please complete the form below and upload your resume. 

While start dates are still being determined for 2026, we’d love to connect! Does this sound like you? Apply below!

About the Role:

Gusto is seeking motivated, customer-centric professionals interested in being considered for future payroll customer experience opportunities in 2026. These roles are ideal for customer-facing payroll professionals who thrive in a fast-paced, consultative environment and are passionate about helping small businesses succeed.

As a Payroll Advocate, you will act as the single point of contact for all support inquiries, enhancing user experience and serving as a subject matter expert for Gusto’s core products. You will guide customers through our newest product features, provide proactive customer education and support, move quickly to strategize and creatively solve problems, act as an advocate to influence our product decisions and roadmap, and holistically support the customer/Gusto partnership. You’ll address and solve real problems and deliver an exceptional customer experience to build trust and loyalty to Gusto.

Here’s what you’ll do day-to-day:

• Own the customer journey by building trust, rapport, and partnership with customers through inbound and outbound phone, email, and Zoom interactions.
• Provide passionate, opinionated, consistent, expert, reliable support as a point of contact for payroll and benefits inquiries. 
• Leverage AI‑assisted tools to accelerate research and communication while upholding accuracy, compliance, and Gusto’s voice.
• Identify churn risk and quickly act to deliver solutions to mitigate the risk of churn, using your product knowledge and unique understanding of each individual customer.
• Build and maintain relationships built on trust and collaboration with admins to better understand and anticipate their needs.
• Partner with your customers and cross-functionally to unblock points of friction, proactively address potential concerns, and build an understanding of individual team needs and processes. 
• Think creatively, pivot quickly, live in ambiguity, and collaborate strategically. You will be required to expand your critical thinking skills and creatively problem-solve across all areas of the business, with an understanding of a variety of stakeholders and needs. 

Here’s what we're looking for:

• 3-6 years of customer experience with 1+ years of full-time experience in Payroll. 
• Account Management experience preferred. 
• Proven ability to proactively and reactively support customers, driving their success, happiness, and loyalty through expert guidance and creative problem-solving.
• Ability to synthesize and communicate complex subjects clearly and effectively, both verbally and in writing, with customers and internal partners.
• Experience with Salesforce, Zoom, Google Suite, Google Calendar, Gmail, and Chili Piper.
• Excels in balancing inbound calls, scheduled meetings, and email inquiries while managing and prioritizing multiple high-priority resolutions effectively.

This posting represents a general talent pipeline that spans multiple levels within our CX team. Final compensation will be determined based on the specific role, level, and experience alignment. The estimated compensation range for these roles is $21.00–$35.00 per hour.

Democracy Prep Public Schools is committed to ensuring all scholars succeed in the college of their choice and lead a life of active citizenship. As a teacher, you will play a vital role in creating a classroom culture that reflects high expectations and high support, fostering academic and personal growth for every scholar.

Who You Are:

• Mission-Driven Educator: You are deeply committed to Democracy Prep’s mission focusing on fostering college success and authentic civic engagement for scholars.
• Outstanding Classroom Teacher: You maintain consistently high behavioral and academic expectations, supporting scholars in meeting those expectations.
• Self-Reflective Professional: You are dedicated to aligning your classroom to our commitment to antiracism and contribute to a culture of diversity, equity, and inclusion.
• Results-Driven Assessor: You use data analysis to drive instructional decisions and teacher accountability, ensuring positive outcomes for all students.
• Content Area Expert: You engage scholars with differentiated instruction and deliver high-quality curriculum by preparing rigorous and engaging lessons through thoughtful lesson planning.
• Educator with Experience Preferred: You hold a Bachelor’s degree (required) and have at least 2 years of teaching experience in urban areas. State certification is preferred. Note: We request transcripts as part of our onboarding process.

What You’ll Do:

• Ensure Classroom Culture: Create and maintain a classroom atmosphere characterized by high expectations and high support.
• Create an Inclusive Environment: Engage in training, reflection, and dialogue around issues of race, identity, diversity, equity, and inclusion for staff and scholars.
• Curriculum Implementation: Plan and prepare for the effective implementation of a coherent, research-based curriculum.
• Data-Driven Instruction: Develop and use a variety of assessment data to refine curriculum and instructional practice.
• Build Relationships: Maintain strong relationships with scholars, families, and colleagues through effective and frequent communication.
• Professional Growth: Continuously improve your practice through weekly coaching sessions, professional development, and collaborative, data-driven reflection with department and grade-level teams.
• Support Social-Emotional Well-Being: Cultivate the social-emotional growth of all scholars by building a positive classroom culture and leveraging strong partnerships with scholars, their families, and the scholar support team.
• Foster Active Citizenship: Engage students in age-appropriate conversations and activities about current events, participation in community service, and the celebration of culture, heritage, and identity.
• Whole-School Involvement: Participate in school-wide events and tasks, including transitions, family conferences, tutoring, and other activities as assigned by school leadership.

Qualifications:

• A Bachelor’s degree (required).
• 2+ years of teaching experience, preferably in urban education (preferred).
• State certification (preferred).
• Strong communication skills, both written and verbal.
• Ability to create an inclusive and positive classroom culture that emphasizes high expectations for all scholars.
• Commitment to professional growth through coaching, reflection, and collaborative work with colleagues.

Compensation 

Salary is competitive and commensurate with your experience. Democracy Prep employees are provided with a benefits package that includes medical, vision, and dental insurance, retirement, parental leave, a smartphone, and a laptop. 

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Democracy Prep is an Equal Opportunity Employer and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, or ancestry, sex, age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. Our mission is to educate responsible citizen-scholars who will change the world. We strongly believe that by building a DREAM team that represents numerous perspectives, backgrounds, and expertises, we can achieve this goal together. This is a value we highly support and strongly encourage candidates of all backgrounds to apply.