Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Principal People Business Partner (PBP) to join our People Team at Aurora who thrives in complex, high-growth environments and is ready to build, not just maintain. As a strategic partner to our executive leaders, this is a unique opportunity to shape people strategies and drive organizational effectiveness to fuel our next chapter of growth. You'll be a trusted advisor who helps our critical functions scale and build a future-proof workforce.

In this role, you will:

• Enable Business Outcomes: Work with senior leadership to align people strategies with business objectives, and execute high-quality solutions to ensure we have the talent and work environment necessary to achieve our most critical outcomes.
• Elevate Leadership Impact: Serve as a coach and strategic advisor to senior leaders, helping them navigate complex change and elevate their team's performance.
• Drive Organizational Effectiveness: Partner directly with executive leaders to proactively diagnose organizational systems, and design and implement organizational models that accelerate decision-making, enhance cross-functional collaboration, and scale for sustained growth.
• Build a Future-Proof Workforce: Lead workforce planning and implement talent strategies that ensure we have the right people in the right roles at the right time. Use data and insights to identify capability gaps and inform critical talent decisions to secure and develop capabilities needed for the future.
• Solve Complex Problems: Jump into challenges head-on—from organizational bottlenecks to change management initiatives—creating clarity and innovative solutions in ambiguous and complex situations. 
• Collaborate with Colleagues: Collaborate closely with other PBPs and People colleagues, Legal, Employee Relations, Finance, Communications, and other partners and stakeholders to lead execution of people solutions in the business.
• Deliver Strategic Insights: Analyze internal and external data, evidence-based research, benchmarks, and business metrics to create insights, diagnose issues, and provide recommendations that inform leadership decision making.

Skills & Experience: 

• Strategic HR Partnership: You have a strong track record as a senior business partner in a high-growth, or tech environment, demonstrating an ability to influence and build credibility with senior executives quickly. You communicate effectively to a wide range of stakeholders.
• Organizational Transformation Expertise: You have a proven ability to design and implement effective organizational structures, leadership coaching and leadership team effectiveness, and lead large-scale change management initiatives.
• Business Athlete Mindset: You are deeply knowledgeable about the business and industry, comfortable navigating and leading others through ambiguity, pivoting quickly to address new challenges, and solving complex problems without a pre-existing playbook.
• Data-Driven Acumen: You use data and insights to proactively diagnose issues, inform your recommendations, influence decisions, and measure the impact of your work.
• Execution Excellence: You deliver high quality results through leading projects and initiatives with milestones and delivery schedules in partnership with stakeholders, and develop clear action plans with results-oriented goals for measuring success.
• Systems Thinker: You are recognize the connections across the organization, and take a holistic approach to analyzing situations and developing solutions that are sustainable in the longer term and account for system interdependencies.
• Resilience and a Growth Mindset: You possess the resilience to thrive in a fast-paced environment and the ability to energize those around you.

Qualifications:

• 10+ years of applicable HR Business Partner experience with proven experience partnering directly with C-suite executives within a rapidly scaling organization. Broad and progressive HR business partner experience in organizations recognized for best HR practices.
• Technology industry experience preferred.
• Bachelor's degree in Human Resources (or related field) required. Advanced degree preferred.
• Proven ability to lead with a creative mindset, very high self-awareness, and to act as a coach and mentor for other leaders and professionals.
• Systems thinking, proven ability to work effectively across multiple business areas, teams, and key leadership areas in a fast-paced environment.
• Demonstrates a breadth of diverse leadership experiences and capabilities, including the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes, and create business impact.
• Effectively diagnosing long-term HR needs, and shaping and leading initiatives to address them.
• Strong communication skills (written and verbal) to effectively address all organizational levels.
• Fluent in English.
• Ability to travel within the U.S. approximately 10% of the time.
• This role requires this person to be in the office at least 3 days per week.

If you are a passionate, skilled People Business Partner ready to make a significant impact on the future of transportation, we encourage you to apply.

The base salary range for this position is $204,000 - $327,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-MS1

#Director 

SALES DEVELOPMENT REPRESENTATIVE

(This candidate can reside in the following office locations to fill this position: Pittsburgh, PA - USA; New York City, New York - USA, or Montréal, Québec - Canada)

Founded in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn and X.

THE OPPORTUNITY

CONTEXT: 

We are looking for a top-notch Sales Development Representative to be a part of a fast-growing marketing and sales environment. As an SDR at Ivalua, you will be partnering with the Sales team to introduce them to decision-makers in their targeted accounts.

ROLE: 

As an SDR, you will become a subject-matter expert on the Ivalua solution and competitive positioning, understanding how to present a compelling and clear case for the Ivalua platform with the appropriate decision-makers. You will be responsible for generating, nurturing, and qualifying prospective customers. 

WHAT YOU WILL DO WITH US 

• Generate qualified prospect meetings for Ivalua Account Executives 
• Actively identify bids and RFPs that are a fit for Ivalua’s software solutions 
• Qualify inbound prospect meetings for Account Executives 
• Proactively nurture early-stage opportunities by providing valuable content
• This role may require minimal travel - about 10% - including a week-long onboarding for new hires, team building events, and other occasional travel as necessary.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Skills and Experience:

• At least 2-5 years of experience in a high-tech B2B marketing, inside sales, or sales development environment 
• Proficiency in French a plus
• Specialized business development experience in Enterprise market 
• Experience identifying and contacting prospective customers, utilizing a multi-approach prospecting methodology – outbound calling, email, direct mail, and LinkedIn/social connections 
• Demonstrable track record of consistent overachievement of quotas and sales goals 
• Bachelor's Degree preferred, or equivalent experience with proven skills

Soft Skills:

• Demonstrated ability to work in an environment where growth and change is the only constant
• Ability to communicate a value proposition in a clear, concise, and compelling manner 
• Entrepreneurial spirit
• Understands a sense of urgency in supporting a sales organization

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week)
• We're a team dedicated to pushing the boundaries of product innovation and technology
• Sustainable growth, privately held
• A stable and cash-flow positive company for 10 years
• Snacks and weekly lunches in the office
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity
• Unlock and unleash your full professional potential with our exceptional training and career development program
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua) :

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

Ivalua’s core values include a priority on Care & Grow People. We take matters like pay equity very seriously and strive to reward our employees appropriately and fairly for their talents.

The salary range for this position is based upon careful and continual market compensation research. In addition to location, salary may also vary based upon job-related knowledge, skills, and experience.

Title: Sales Development Representative

Base range minimum: $50,000

Base range maximum: $80,000

*Additional compensation / rewards: In addition to the base salary information above, Ivalua offers an uncapped commission plan as part of the competitive compensation package. Other compensation factors may also be considered. Ivalua also offers exceptional benefits including medical, dental, vision, retirement (with company match), and much more.

#LI-HYBRID #LI-AP1 #LI-DNI

SALES DEVELOPMENT REPRESENTATIVE

(This candidate can reside in the following office locations to fill this position: Pittsburgh, PA - USA; New York City, New York - USA, or Montréal, Québec - Canada)

Founded in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn and X.

THE OPPORTUNITY

CONTEXT: 

We are looking for a top-notch Sales Development Representative to be a part of a fast-growing marketing and sales environment. As an SDR at Ivalua, you will be partnering with the Sales team to introduce them to decision-makers in their targeted accounts.

ROLE: 

As an SDR, you will become a subject-matter expert on the Ivalua solution and competitive positioning, understanding how to present a compelling and clear case for the Ivalua platform with the appropriate decision-makers. You will be responsible for generating, nurturing, and qualifying prospective customers. 

WHAT YOU WILL DO WITH US 

• Generate qualified prospect meetings for Ivalua Account Executives 
• Actively identify bids and RFPs that are a fit for Ivalua’s software solutions 
• Qualify inbound prospect meetings for Account Executives 
• Proactively nurture early-stage opportunities by providing valuable content
• This role may require minimal travel - about 10% - including a week-long onboarding for new hires, team building events, and other occasional travel as necessary.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Skills and Experience:

• At least 2-5 years of experience in a high-tech B2B marketing, inside sales, or sales development environment 
• Proficiency in French a plus
• Specialized business development experience in Enterprise market 
• Experience identifying and contacting prospective customers, utilizing a multi-approach prospecting methodology – outbound calling, email, direct mail, and LinkedIn/social connections 
• Demonstrable track record of consistent overachievement of quotas and sales goals 
• Bachelor's Degree preferred, or equivalent experience with proven skills

Soft Skills:

• Demonstrated ability to work in an environment where growth and change is the only constant
• Ability to communicate a value proposition in a clear, concise, and compelling manner 
• Entrepreneurial spirit
• Understands a sense of urgency in supporting a sales organization

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week)
• We're a team dedicated to pushing the boundaries of product innovation and technology
• Sustainable growth, privately held
• A stable and cash-flow positive company for 10 years
• Snacks and weekly lunches in the office
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity
• Unlock and unleash your full professional potential with our exceptional training and career development program
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua) :

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

Ivalua’s core values include a priority on Care & Grow People. We take matters like pay equity very seriously and strive to reward our employees appropriately and fairly for their talents.

The salary range for this position is based upon careful and continual market compensation research. In addition to location, salary may also vary based upon job-related knowledge, skills, and experience.

Title: Sales Development Representative

Base range minimum: $50,000

Base range maximum: $80,000

*Additional compensation / rewards: In addition to the base salary information above, Ivalua offers an uncapped commission plan as part of the competitive compensation package. Other compensation factors may also be considered. Ivalua also offers exceptional benefits including medical, dental, vision, retirement (with company match), and much more.

#LI-HYBRID #LI-AP1 #LI-DNI

DIRECTOR, CUSTOMER MARKETING  

This candidate can reside in the following office locations to fill this position: 

New York, NY - US
Pittsburgh, PA - US
Montreal - Canada
Massy - France

Founded in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn 

THE OPPORTUNITY

CONTEXT: 

Ivalua is seeking a strategic and visionary Director, Customer Marketing responsible for shaping how we engage, enable, and expand relationships with our global enterprise customers. In this role, you will drive the overall customer marketing strategy—from onboarding and retention to advocacy and expansion.

ROLE: 

You will architect the content and engagement strategy that connects customers across every stage of the journey: evaluation, onboarding, education, advocacy, and long-term partnership. Working closely with Product Marketing, R&D, Sales, and Customer Success organizations, you will drive platform adoption and satisfaction across a thriving community of users around the world.

WHAT YOU WILL DO WITH US 

Enterprise Lifecycle Marketing & Expansion

• Drive Growth & Retention: Build and lead enterprise-focused lifecycle marketing programs that deepen engagement, drive advanced platform adoption, and accelerate expansion within top global accounts.
• Cross-Functional Collaboration: Partner with Customer Success, Sales, and Product Marketing, R&D teams to identify customer growth opportunities and deliver coordinated go-to-market motions across renewal, upsell, and cross-sell stages.
• Segmentation Strategy: Develop segmentation and journey frameworks for executive, business, and practitioner personas, ensuring tailored messaging and experiences throughout the customer lifecycle.
• Data-Driven Insights: Leverage data and insights to measure health, engagement, and expansion readiness across accounts. Mine market insights to inform strategic marketing decisions and stay ahead of industry trends.

Customer Advocacy & Content Strategy

• Build Champions: Spearhead customer advocacy initiatives aligned to product and solution narratives that amplify our customers' success and foster brand loyalty. You will deliver the requisite case studies, video stories, analyst references, and speaking opportunities needed to drive our next wave of growth.
• Strategic Content: Define and execute a customer content strategy that aligns with enterprise adoption journeys—including success stories, executive narratives, and best-practice thought leadership.
• Global Storytelling: Partner with Corporate Communications and Brand to elevate customer storytelling that showcases innovation and measurable outcomes achieved with Ivalua.
• Executive Programs: Build ongoing executive engagement programs, including roundtables, innovation councils, and strategic listening forums, to inform product direction and strengthen executive alignment.

Events & Community

• Event Strategy: Own the customer event strategy for enterprise audiences—driving participation in flagship experiences (such as Ivalua NOW), regional executive summits, and customer innovation sessions.
• Community Building: Influence and help to shape our customer community events as well as our online community, ensuring a consistent voice of the customer is woven through marketing, sales, and product storytelling.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Skills and Experience:

• Experience: 10+ years of B2B marketing experience, including 5+ years in customer, enterprise, or lifecycle marketing leadership.
• Advocacy Expert: Proven track record of building world-class customer advocacy programs and executive-level engagement programs that drive measurable business impact.
• SaaS Knowledge: Deep understanding of enterprise customer journeys, particularly in SaaS, Procurement, or Supply Chain technology environments.
• Content & Storytelling: Strong background in content strategy, storytelling, and event design for senior audiences.
• Collaboration: Excellent cross-functional leadership skills, with experience collaborating closely with Sales, Customer Success, Product, and Communications teams.
• Global Mindset: Ability to work effectively across different time zones and cultures (US and EMEA).
• Language Skills: Fluency in English is required; French proficiency is a strong plus.

Soft Skills:

• Passion: A passion for elevating the customer experience at every touchpoint.
• Strategic Translation: The ability to engage with executives and translate strategic customer insights into business action.
• Technical Sensibility: You don’t necessarily have a deep technical background, but you love experimenting with new tools and have a personal interest in how AI and innovation drive business value.
• Balance: A balance of creative vision and operational discipline—with a focus on measurable impact, relationship depth, and customer lifetime value.
• Ambiguity: Comfort with breaking new ground on processes and principles in a fast-growing environment.

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week)
• We're a team dedicated to pushing the boundaries of product innovation and technology
• Sustainable Growth, Privately Held
• A stable and cash-flow positive Company since 10 years
• Snacks and weekly lunches in the office
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity
• Unlock and unleash your full professional potential with our exceptional training and career development program
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua):

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

Ivalua’s core values include a priority on Care & Grow People. We take matters like pay equity very seriously and strive to reward our employees appropriately and fairly for their talents. The compensation range for this position is based upon careful and continual market compensation research. In addition to location, compensation may also vary based upon job-related knowledge, skills, and experience.

Title: Director, Customer Marketing
Base range minimum: $112,000
Base range maximum: $168,000

Additional compensation/rewards: Ivalua offers an annual target bonus for this position conditional on individual and company performance. Other compensation factors may also be considered. Ivalua also offers exceptional benefits including medical, dental, vision, retirement (with company match), and much more.

#LI-HYBRID #LI-AP1 #LI-DNI

DIRECTOR, CUSTOMER MARKETING  

This candidate can reside in the following office locations to fill this position: 

New York, NY - US
Pittsburgh, PA - US
Montreal - Canada
Massy - France

Founded in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn 

THE OPPORTUNITY

CONTEXT: 

Ivalua is seeking a strategic and visionary Director, Customer Marketing responsible for shaping how we engage, enable, and expand relationships with our global enterprise customers. In this role, you will drive the overall customer marketing strategy—from onboarding and retention to advocacy and expansion.

ROLE: 

You will architect the content and engagement strategy that connects customers across every stage of the journey: evaluation, onboarding, education, advocacy, and long-term partnership. Working closely with Product Marketing, R&D, Sales, and Customer Success organizations, you will drive platform adoption and satisfaction across a thriving community of users around the world.

WHAT YOU WILL DO WITH US 

Enterprise Lifecycle Marketing & Expansion

• Drive Growth & Retention: Build and lead enterprise-focused lifecycle marketing programs that deepen engagement, drive advanced platform adoption, and accelerate expansion within top global accounts.
• Cross-Functional Collaboration: Partner with Customer Success, Sales, and Product Marketing, R&D teams to identify customer growth opportunities and deliver coordinated go-to-market motions across renewal, upsell, and cross-sell stages.
• Segmentation Strategy: Develop segmentation and journey frameworks for executive, business, and practitioner personas, ensuring tailored messaging and experiences throughout the customer lifecycle.
• Data-Driven Insights: Leverage data and insights to measure health, engagement, and expansion readiness across accounts. Mine market insights to inform strategic marketing decisions and stay ahead of industry trends.

Customer Advocacy & Content Strategy

• Build Champions: Spearhead customer advocacy initiatives aligned to product and solution narratives that amplify our customers' success and foster brand loyalty. You will deliver the requisite case studies, video stories, analyst references, and speaking opportunities needed to drive our next wave of growth.
• Strategic Content: Define and execute a customer content strategy that aligns with enterprise adoption journeys—including success stories, executive narratives, and best-practice thought leadership.
• Global Storytelling: Partner with Corporate Communications and Brand to elevate customer storytelling that showcases innovation and measurable outcomes achieved with Ivalua.
• Executive Programs: Build ongoing executive engagement programs, including roundtables, innovation councils, and strategic listening forums, to inform product direction and strengthen executive alignment.

Events & Community

• Event Strategy: Own the customer event strategy for enterprise audiences—driving participation in flagship experiences (such as Ivalua NOW), regional executive summits, and customer innovation sessions.
• Community Building: Influence and help to shape our customer community events as well as our online community, ensuring a consistent voice of the customer is woven through marketing, sales, and product storytelling.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Skills and Experience:

• Experience: 10+ years of B2B marketing experience, including 5+ years in customer, enterprise, or lifecycle marketing leadership.
• Advocacy Expert: Proven track record of building world-class customer advocacy programs and executive-level engagement programs that drive measurable business impact.
• SaaS Knowledge: Deep understanding of enterprise customer journeys, particularly in SaaS, Procurement, or Supply Chain technology environments.
• Content & Storytelling: Strong background in content strategy, storytelling, and event design for senior audiences.
• Collaboration: Excellent cross-functional leadership skills, with experience collaborating closely with Sales, Customer Success, Product, and Communications teams.
• Global Mindset: Ability to work effectively across different time zones and cultures (US and EMEA).
• Language Skills: Fluency in English is required; French proficiency is a strong plus.

Soft Skills:

• Passion: A passion for elevating the customer experience at every touchpoint.
• Strategic Translation: The ability to engage with executives and translate strategic customer insights into business action.
• Technical Sensibility: You don’t necessarily have a deep technical background, but you love experimenting with new tools and have a personal interest in how AI and innovation drive business value.
• Balance: A balance of creative vision and operational discipline—with a focus on measurable impact, relationship depth, and customer lifetime value.
• Ambiguity: Comfort with breaking new ground on processes and principles in a fast-growing environment.

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week)
• We're a team dedicated to pushing the boundaries of product innovation and technology
• Sustainable Growth, Privately Held
• A stable and cash-flow positive Company since 10 years
• Snacks and weekly lunches in the office
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity
• Unlock and unleash your full professional potential with our exceptional training and career development program
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work.
• Experience a truly diverse and inclusive work environment where your unique contributions are highly valued
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua):

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

Ivalua’s core values include a priority on Care & Grow People. We take matters like pay equity very seriously and strive to reward our employees appropriately and fairly for their talents. The compensation range for this position is based upon careful and continual market compensation research. In addition to location, compensation may also vary based upon job-related knowledge, skills, and experience.

Title: Director, Customer Marketing
Base range minimum: $112,000
Base range maximum: $168,000

Additional compensation/rewards: Ivalua offers an annual target bonus for this position conditional on individual and company performance. Other compensation factors may also be considered. Ivalua also offers exceptional benefits including medical, dental, vision, retirement (with company match), and much more.

#LI-HYBRID #LI-AP1 #LI-DNI

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Senior Staff Product Designer to join as the design lead for our Customer Experience team, reporting directly to the Head of Design. This is a player/coach role. You will carry significant IC responsibility while directly managing one Product Designer who is focused on load planning and exception management.

Your mandate is the end-to-end customer journey that makes autonomous freight a reality. You will design the suite of tools used by trucking and logistics companies to activate and manage daily operations for a fleet of self-driving trucks. While autonomous technology is genuinely new territory for our customers, your job is to design experiences that feel familiar, intuitive, and integrated into their existing ecosystems. This isn’t a SaaS dashboard exercise. These are high-stakes operational tools that a vehicle operator or load planner needs to adopt to safely run an autonomous truck.

In this role, you will

• Own the customer experience blueprint. Define how interactions with the Aurora Driver are consistent, simple, and unified with the broader operational ecosystem
• Design customer-facing digital tools across web, mobile, and partner integrations
• Do just enough research to generate actionable insight, then use it to drive product decisions, not decorate them
• Tie your work directly to outcomes. For example, ensure support feels like a natural part of the product by designing self-serve recovery paths that allow users to resolve issues in under 5 minutes
• Manage and develop one Product Designer, and contribute to raising the bar for the broader design practice

Required Qualifications

• 8+ years of experience in product design, with a track record of leading complex, multi-workstream projects
• Experience formally managing other designers
• A portfolio showing end-to-end work across research and design for complex enterprise, operational, or mission-critical systems, with clear evidence of business impact
• Expertise in interaction design, information architecture, and UX research with a high bar for visual design quality
• Exceptional written and verbal communication skills, with the ability to translate research insights and design rationale into clear, compelling narratives for executive, cross-functional, and technical audiences

Desirable Qualifications 

• Experience with autonomous technology, hardware-software integrated products, or physical supply chain logistics
• Demonstrated ability to use AI across the design lifecycle without losing judgment

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

 #LI-SP1

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

This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.

In this role, you will

• Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
• Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
• Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
• Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
• Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
• Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
• Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.

Required Qualifications

• Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
• Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
• Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
• Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
• Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
• Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Desirable Qualifications

• Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
• Experience shipping products 
• Experience with self-driving technology or other AI-based applications

The base salary range for this position is $163K-$236K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.

We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more!

You'll be a product manager in our Learning Pillar and will be responsible for developing products that make learning a new language fun and effective, regardless of one's level. We've recently introduced a number of new ways to learn, including Stories, DuoRadio, Adventures, and Video Call, and are always looking for better ways to teach. You will partner with your cross-functional peers to build delightful learning experiences, shape our overall learning strategy, and impact the lives of tens of millions of learners.

🧠  You will...

• Be responsible for improving the learning experience through delightful and impactful products
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Establish the strategy for your focus area, and build alignment across product teams, cross-functional partners, and the leadership team
• Perform qualitative and quantitative research to explore and validate feature ideas
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Execute with urgency and excellence

✅  You have...

• A desire to make the world a better place through technology and education
• Experience generating outstanding results as a product manager
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• Top-tier design sense -- every pixel matters at Duolingo
• Demonstrated ability to be resourceful, curious, and innovative

Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.

We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more!

You'll be a product manager in our Learning Pillar and will be responsible for developing products that make learning a new language fun and effective, regardless of one's level. We've recently introduced a number of new ways to learn, including Stories, DuoRadio, Adventures, and Video Call, and are always looking for better ways to teach. You will partner with your cross-functional peers to build delightful learning experiences, shape our overall learning strategy, and impact the lives of tens of millions of learners.

🧠  You will...

• Be responsible for improving the learning experience through delightful and impactful products
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Establish the strategy for your focus area, and build alignment across product teams, cross-functional partners, and the leadership team
• Perform qualitative and quantitative research to explore and validate feature ideas
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Execute with urgency and excellence

✅  You have...

• A desire to make the world a better place through technology and education
• Experience generating outstanding results as a product manager
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• Top-tier design sense -- every pixel matters at Duolingo
• Demonstrated ability to be resourceful, curious, and innovative

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.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

We’re hiring an Engineering Manager to lead a high-impact product engineering team working on Notifications. You will co-lead a cross-functional team to improve learner habit formation and long-term engagement through our notifications pipeline, while owning the team's roadmap, execution, and outcomes. This role blends technical leadership, people management, and product strategy as you’ll set direction for complex systems, foster an inclusive, high-performance culture, and create an environment for engineers to do impactful things. The role is based in Pittsburgh or New York.

🧠  You will...

• Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for notifications and other out-of-app messaging.
• Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring system reliability, scalability, and observability.
• Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact retention KPIs.
• Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.
• Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and and operational excellence.
• Collaborate closely with product, design, research, and other engineering teams to deliver notification experiences that are cohesive across in‑app and other out‑of‑app surfaces (e.g., widgets).
• Define team OKRs, ruthlessly prioritize, and remove roadblocks so the team ships impactful work that moves company metrics.

✅  You have...

• Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.
• A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality.
• Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners.
• Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.
• Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices.
• The ability to work from or relocate to Pittsburgh, PA or New York, NY.

⭐  Exceptional candidates will have...

• Experience leading teams focused on retention, engagement, growth, or habit‑formation features in consumer products.
• Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics.
• Background managing teams with broad cross‑functional scope.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

We’re hiring an Engineering Manager to lead a high-impact product engineering team working on Notifications. You will co-lead a cross-functional team to improve learner habit formation and long-term engagement through our notifications pipeline, while owning the team's roadmap, execution, and outcomes. This role blends technical leadership, people management, and product strategy as you’ll set direction for complex systems, foster an inclusive, high-performance culture, and create an environment for engineers to do impactful things. The role is based in Pittsburgh or New York.

🧠  You will...

• Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for notifications and other out-of-app messaging.
• Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring system reliability, scalability, and observability.
• Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact retention KPIs.
• Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.
• Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and and operational excellence.
• Collaborate closely with product, design, research, and other engineering teams to deliver notification experiences that are cohesive across in‑app and other out‑of‑app surfaces (e.g., widgets).
• Define team OKRs, ruthlessly prioritize, and remove roadblocks so the team ships impactful work that moves company metrics.

✅  You have...

• Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.
• A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality.
• Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners.
• Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.
• Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices.
• The ability to work from or relocate to Pittsburgh, PA or New York, NY.

⭐  Exceptional candidates will have...

• Experience leading teams focused on retention, engagement, growth, or habit‑formation features in consumer products.
• Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics.
• Background managing teams with broad cross‑functional scope.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!

Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to major product decisions. Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math, Music, and Chess skills.

As the Senior Product Manager for the Duolingo English Test, you'll drive product changes across the entire user experience: acquisition funnel, monetization, security, and test development. In addition to your product responsibilities, you'll partner with 90 cross-functional colleagues across engineering, AI research, design, marketing and more.

Together, you’ll make sure that students can gain access to educational opportunities by taking an English test from the comfort of their home. With over 6,000 partner institutions, we are disrupting the high-stakes language-assessment market. If you love making a difference in the world through technology, this is the place for you.

🧠  You will...

• Establish the strategy for how we scale the test to more users globally
• Be responsible for improving the test experience and work closely with UI/UX designers
• Collaborate with AI researchers to develop novel features to improve the test’s security and efficacy
• Perform qualitative and quantitative research to explore and validate feature ideas
• Work with engineers to help guide feature development
• Execute with urgency and excellence

✅  You have...

• A desire to make the world a better place through technology and education
• Experience generating outstanding results as a product manager
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• Top-tier design sense -- every pixel matters at Duolingo
• Demonstrated ability to be resourceful, curious, and innovative

⭐  Exceptional candidates will have...

• Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
• Professional experience in areas highly related to our work as product managers at Duolingo, such as software engineering, design, data analysis, or language learning

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.

You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment.

You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software.

You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications.

What you’ll be doing:

• Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system.
• Help analyze perception system performance to identify areas for improvement and participate in efforts to address them.
• Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Solid understanding of fundamental deep learning concepts and computer vision techniques
• Experience building, training, or evaluating neural networks
• Proficiency in Python and familiarity with libraries like PyTorch or similar
• Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development
• Clear communication skills and willingness to ask questions, share ideas, and work with others

Bonus Points:

• Previous experience with sensor fusion and/or previous exposure to the AV industry
• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Exposure to safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

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.

What we're looking for:

Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should have strong research, SW development, communication, interpersonal, and analytical skills. 

What you’ll be doing:

• Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional’s Autonomous Vehicle products.
• Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.
• Partnering with system software engineering specialists to ship industrial strength ML models.
• Communicating and collaborating with multi-functional teams.

What We're Looking For: 

• BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience)
• 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
• Deep understanding of large language models (LLM) and transformers
• Hands on experience building large scale production ML systems and deploying them at scale
• Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions
• Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.).
• Excellent understanding of the mathematical foundations of machine learning and deep learning.

Bonus Points: 

• Prior experience as a ML planning lead
• Proven publication record in ML for planning, vision, or related fields
• Prior experience building and deploying vision language action or chain of thought models

What we're looking for:

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

What we're looking for:

About The Role

The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production.

About the Work

• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and deployment of control policies.
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production

About You

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
• Experience with modern learning-from-demonstration tools like DiffusionPolicy
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.
• Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software
• MS in Robotics, Computer Science, or a related field.

Bonus Points

• PhD in Robotics, Computer Science, or a related field.
• Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
• Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
• Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
• Experience with writing performant, high quality software in C++

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.

🧠  You will...

• Join a full-stack team of frontend, backend and other AI Research engineers, fostering a collaborative and innovative work environment.
• Contribute to the development and training of bandit models and large-scale neural network models.
• Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.
• Participate in and help drive strategic product and business decision making as a member of the Monetization leadership group. 
• Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
• Mentor team members, providing guidance and support in their professional development.
• Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

✅  You have...

• Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
• Strong background in training and fine-tuning large models in an applied setting.
• Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
• Excellent leadership and communication skills, with the ability to manage and inspire a team.
• Deep understanding of machine learning concepts, frameworks, and best practices.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Must possess a working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Must possess a working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

Duolingo reaches hundreds of millions of learners worldwide, and the Efficacy Research Lab exists to answer a fundamental question: Does that learning actually last? This is one of the most important research programs in consumer education, with a scale, dataset, and real-world impact that few academic or industry environments can match.

We’re looking for an exceptional research leader to guide the Lab through its next chapter, expanding its scope from Language into Math and future subjects. In this role, you will set the strategic vision for efficacy research at Duolingo, manage and develop a small team of researchers, and partner closely with senior leaders across the company. This is a hands-on leadership role: you’ll shape the agenda, lead high-impact work, and remain deeply involved in the science.

This role is based in Pittsburgh or New York.

🧠  You will...

• Set the vision and strategic direction for Duolingo’s Efficacy Research Lab, with language learning as the primary focus and a growing mandate across Math and future subject areas.
• Lead the design and execution of rigorous efficacy research, from framing the right questions through study design, data collection, analysis, interpretation, and communication of results.
• Serve as a player-coach to a team of 3 researchers: setting priorities, providing scientific guidance, and contributing directly to the work where your expertise has the greatest leverage.
• Partner with Product, Learning Design, and company leadership to ensure efficacy research meaningfully informs product strategy and improves learner outcomes.
• In collaboration with Marketing and Communications, shape how Duolingo communicates learning outcomes externally, translating rigorous research into clear, credible narratives for learners, parents, educators, partners, and the press.
• Build and manage external research partnerships, from identifying collaborators and shaping proposals to overseeing execution and final deliverables.
• Represent Duolingo externally as a thought leader in learning science and efficacy research.

✅  You have...

• Research leadership and scientific credibility. PhD in education, learning sciences, cognitive science, educational psychology, psychometrics, or a related field, plus 12+ years of relevant experience. You have led ambitious research programs evaluating the effectiveness of educational products or interventions and have a strong record of peer-reviewed publications and/or other influential research outputs.
• Expertise in rigorous applied research. You can define a research agenda, design and evaluate studies using methods such as randomized controlled trials, quasi-experimental designs, and large-scale observational analyses, and deliver findings that drive consequential decisions.
• Industry judgment and pragmatism. You know how to apply high scientific standards in a product environment. You understand the tradeoffs between ideal and feasible research designs and can deliver credible, decision-useful insights on business and product timelines. Meaningful industry experience is required.
  Deep understanding of learning. You have deep expertise in how people learn and can connect measured outcomes to the mechanisms that drive them, making you a trusted partner to product and learning teams.
• Exceptional communication and influence. You communicate clearly and persuasively across audiences, from researchers and executives to external stakeholders, and can translate complex findings into actionable recommendations and compelling public narratives.
• Advanced quantitative and technical skills. You bring deep expertise in statistics and quantitative methods, are fluent in R or Python, and are comfortable working with SQL and large-scale datasets.
• People leadership. You have experience managing and developing researchers, setting a high bar for quality, and helping a small team do its best work.
• Operational strength. You are highly organized and able to lead multiple research initiatives simultaneously across internal and external stakeholders.

⭐  Exceptional candidates will have...

• Experience leading efficacy research across multiple subject areas, such as language, math, or science.
• Experience in EdTech and/or consumer technology.
• Experience working with large-scale behavioral data in a product or consumer technology environment.
• Experience serving as an external representative for a research organization, including with press, partners, or academic audiences.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

Duolingo reaches hundreds of millions of learners worldwide, and the Efficacy Research Lab exists to answer a fundamental question: Does that learning actually last? This is one of the most important research programs in consumer education, with a scale, dataset, and real-world impact that few academic or industry environments can match.

We’re looking for an exceptional research leader to guide the Lab through its next chapter, expanding its scope from Language into Math and future subjects. In this role, you will set the strategic vision for efficacy research at Duolingo, manage and develop a small team of researchers, and partner closely with senior leaders across the company. This is a hands-on leadership role: you’ll shape the agenda, lead high-impact work, and remain deeply involved in the science.

This role is based in Pittsburgh or New York.

🧠  You will...

• Set the vision and strategic direction for Duolingo’s Efficacy Research Lab, with language learning as the primary focus and a growing mandate across Math and future subject areas.
• Lead the design and execution of rigorous efficacy research, from framing the right questions through study design, data collection, analysis, interpretation, and communication of results.
• Serve as a player-coach to a team of 3 researchers: setting priorities, providing scientific guidance, and contributing directly to the work where your expertise has the greatest leverage.
• Partner with Product, Learning Design, and company leadership to ensure efficacy research meaningfully informs product strategy and improves learner outcomes.
• In collaboration with Marketing and Communications, shape how Duolingo communicates learning outcomes externally, translating rigorous research into clear, credible narratives for learners, parents, educators, partners, and the press.
• Build and manage external research partnerships, from identifying collaborators and shaping proposals to overseeing execution and final deliverables.
• Represent Duolingo externally as a thought leader in learning science and efficacy research.

✅  You have...

• Research leadership and scientific credibility. PhD in education, learning sciences, cognitive science, educational psychology, psychometrics, or a related field, plus 12+ years of relevant experience. You have led ambitious research programs evaluating the effectiveness of educational products or interventions and have a strong record of peer-reviewed publications and/or other influential research outputs.
• Expertise in rigorous applied research. You can define a research agenda, design and evaluate studies using methods such as randomized controlled trials, quasi-experimental designs, and large-scale observational analyses, and deliver findings that drive consequential decisions.
• Industry judgment and pragmatism. You know how to apply high scientific standards in a product environment. You understand the tradeoffs between ideal and feasible research designs and can deliver credible, decision-useful insights on business and product timelines. Meaningful industry experience is required.
  Deep understanding of learning. You have deep expertise in how people learn and can connect measured outcomes to the mechanisms that drive them, making you a trusted partner to product and learning teams.
• Exceptional communication and influence. You communicate clearly and persuasively across audiences, from researchers and executives to external stakeholders, and can translate complex findings into actionable recommendations and compelling public narratives.
• Advanced quantitative and technical skills. You bring deep expertise in statistics and quantitative methods, are fluent in R or Python, and are comfortable working with SQL and large-scale datasets.
• People leadership. You have experience managing and developing researchers, setting a high bar for quality, and helping a small team do its best work.
• Operational strength. You are highly organized and able to lead multiple research initiatives simultaneously across internal and external stakeholders.

⭐  Exceptional candidates will have...

• Experience leading efficacy research across multiple subject areas, such as language, math, or science.
• Experience in EdTech and/or consumer technology.
• Experience working with large-scale behavioral data in a product or consumer technology environment.
• Experience serving as an external representative for a research organization, including with press, partners, or academic audiences.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This role sits at the intersection of strategy and execution. You will balance speed and rigor to resolve ambiguity and turn one-off wins into scalable systems. 

As a Strategy & Business Operations Manager at Duolingo, you will play a key role in shaping Duolingo’s path towards becoming a 100-year company. You will partner closely with leaders across Growth, Language Learning, Monetization, and more to create clarity and alignment that unlocks faster progress for Duolingo’s top priorities. 

This role is based in our Pittsburgh HQ. We use a hybrid work model of 4 days in the office per week.

🧠  You will...

• Develop actionable strategies: collaborate with cross-functional leaders to combine market understanding, user insights, and product vision into strategies that teams will pursue to achieve Duolingo's mission
• Sprint to assess opportunities & markets: identify and assess compelling opportunities for Duolingo. This spans problem-space definition, hypothesis generation, industry research, execution and iteration
• Lead with data, structure, and judgment: establish success metrics, build clear frameworks, and make trade-offs across competing priorities
• Partner cross-functionally: work closely with product, engineering, design, marketing, partnerships, data science, and finance 
• Learn and grow: rapidly gain new skills, methods, and industry learnings as you deliver world-class strategy work alongside talented colleagues across disciplines

✅  You have...

• Fast, flexible, and outcomes-oriented: able and excited to thrive with rapid cycles of analysis, decision, and action
• Analytical chops and logical thinking: develops data and fact-based understanding of complex problems. Able to simplify findings to clear conclusions
• Strong people skills, including a demonstrated ability to collaborate and communicate effectively with a diverse range of internal and external stakeholders
• Early career: 3+ years of professional experience 
• Excitement for our mission to develop the best education in the world and make it universally available

⭐  Exceptional candidates will have...

• Experience in a strategy or biz ops function, strategy consulting, product management or strategic corporate development
• Strong knowledge of and passion for the consumer tech industry
• Experience with mobile apps and subscription-based services
• Experience working with global / international teams
• Experience leading cross-functional projects in a high-growth environment

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

With our learning app, we have developed a successful business by making learning fun. As our reach grows, we aim to teach even better and set the standard for language proficiency with the Duolingo Score. We are hiring a Senior Product Manager to lead the Duolingo Score team, define the vision, and drive product development to establish a globally recognized scoring system. Read our blog to learn more.

  You will...

• Work with executive leadership to drive product strategy for the Duolingo Score team
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Perform qualitative and quantitative research to explore and validate feature ideas
• Partner with product designers to ensure a fun and delightful user experience in our product
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Define your key performance indicator(s) that drive user growth, and achieve them!

  You have...

• Experience generating outstanding results as a Product Manager at a software company
• A desire to make the world a better place through technology and education
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• An instinct for creating simple and intuitive user experiences
• Demonstrated ability to be resourceful, curious, and innovative
• Experience leading projects and teams
• Bachelor’s Degree in Engineering, Business, Design, Psychology, or equivalent

  Exceptional candidates will have...

• Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
• Extensive experience in fast-growing, consumer-facing, data-driven startups, ideally mobile app-based

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

With our learning app, we have developed a successful business by making learning fun. As our reach grows, we aim to teach even better and set the standard for language proficiency with the Duolingo Score. We are hiring a Senior Product Manager to lead the Duolingo Score team, define the vision, and drive product development to establish a globally recognized scoring system. Read our blog to learn more.

  You will...

• Work with executive leadership to drive product strategy for the Duolingo Score team
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Perform qualitative and quantitative research to explore and validate feature ideas
• Partner with product designers to ensure a fun and delightful user experience in our product
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Define your key performance indicator(s) that drive user growth, and achieve them!

  You have...

• Experience generating outstanding results as a Product Manager at a software company
• A desire to make the world a better place through technology and education
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• An instinct for creating simple and intuitive user experiences
• Demonstrated ability to be resourceful, curious, and innovative
• Experience leading projects and teams
• Bachelor’s Degree in Engineering, Business, Design, Psychology, or equivalent

  Exceptional candidates will have...

• Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
• Extensive experience in fast-growing, consumer-facing, data-driven startups, ideally mobile app-based

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!

Duolingo’s designers care about creating high-quality experiences that look and feel fun. From animators to writers, product designers to researchers, Design brings purpose, feeling, and delight to every interaction with our brand, inside the app and out. As a designer, you’ll join a culture of creativity and craft, where we have a high bar for excellence and an endless curiosity about how to bring more unexpected quirk and fun to the pursuit of learning. 

Join us in our mission to develop education for our half a billion (and growing!) learners around the world.

About the role

This role is a key part of the Design team—Duolingo’s key creative partner across nearly every project. From our mobile apps and website to our brand voice, email newsletters, and community events, the Design team helps shape the full user experience. At Duolingo, we take pride in crafting experiences that are both user-friendly and fun—and we sweat the details to get them just right.

  You will...

• Work on the user experience across features within the Duolingo language app
• Play a leadership role on the product design team
• Work collaboratively with designers and artists to build upon and expand the Duolingo design language
• Partner with engineers and product managers to define both the long-term strategy and the short-term tactics for our products
• Sometimes work on very broadly defined, loose concepts, and sometimes on narrowly defined, tactical features
• Work in a highly enthusiastic fashion with the design and product teams
• Consider all parts when crafting the experience: from copy to animation to business impact
• Use a mix of internal and third-party AI tools at every step of your creative process

  You have...

• An online portfolio with mobile app or web design samples
• Design experience in a consumer application, product, or software role
• A desire to strive for excellence in your work until all details are attended to
• The ability to explain your work, process, and decisions and seek feedback to help you produce your best work
• Experience ideating, building and prototyping with AI tools, like ChatGPT and Cursor

  Exceptional candidates will have...

• Experience with managing early-career designers and an interest in developing design talent
• Have worked at a high-paced tech start-up
• Illustration and/or animation skill-set
• Experience participating in or leading user research sessions
• Shipped AI-driven products

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!

Duolingo’s designers care about creating high-quality experiences that look and feel fun. From animators to writers, product designers to researchers, Design brings purpose, feeling, and delight to every interaction with our brand, inside the app and out. As a designer, you’ll join a culture of creativity and craft, where we have a high bar for excellence and an endless curiosity about how to bring more unexpected quirk and fun to the pursuit of learning. 

Join us in our mission to develop education for our half a billion (and growing!) learners around the world.

About the role

This role is a key part of the Design team—Duolingo’s key creative partner across nearly every project. From our mobile apps and website to our brand voice, email newsletters, and community events, the Design team helps shape the full user experience. At Duolingo, we take pride in crafting experiences that are both user-friendly and fun—and we sweat the details to get them just right.

  You will...

• Work on the user experience across features within the Duolingo language app
• Play a leadership role on the product design team
• Work collaboratively with designers and artists to build upon and expand the Duolingo design language
• Partner with engineers and product managers to define both the long-term strategy and the short-term tactics for our products
• Sometimes work on very broadly defined, loose concepts, and sometimes on narrowly defined, tactical features
• Work in a highly enthusiastic fashion with the design and product teams
• Consider all parts when crafting the experience: from copy to animation to business impact
• Use a mix of internal and third-party AI tools at every step of your creative process

  You have...

• An online portfolio with mobile app or web design samples
• Design experience in a consumer application, product, or software role
• A desire to strive for excellence in your work until all details are attended to
• The ability to explain your work, process, and decisions, and seek feedback to help you produce your best work
• Experience ideating, building, and prototyping with AI tools, like ChatGPT and Cursor

  Exceptional candidates will have...

• Experience with managing early-career designers and an interest in developing design talent
• Have worked at a high-paced tech start-up
• Illustration and/or animation skill-set
• Experience participating in or leading user research sessions
• Shipped AI-driven products

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!

Duolingo’s designers care about creating high-quality experiences that look and feel fun. From animators to writers, product designers to researchers, Design brings purpose, feeling, and delight to every interaction with our brand, inside the app and out. As a designer, you’ll join a culture of creativity and craft, where we have a high bar for excellence and an endless curiosity about how to bring more unexpected quirk and fun to the pursuit of learning. 

Join us in our mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

We’re looking to hire a Staff Product Researcher to join our Product Research team to work directly with Designers and Product Managers to help us build a high-quality experience for our learners. You’ll help shape a product used by millions of users around the world by integrating research into Duolingo’s unique product development process and generating insights that guide teams in choosing what to build and how to build it. 

This is a high-impact, fast-paced role for a mixed-method researcher who can drive clarity in ambiguous spaces, influence product decisions, and deliver actionable insights at the pace of product development.

🧠  You will...

• Set research direction with cross-functional partners by identifying the highest-impact questions and translating them into a clear, prioritized research projects
• Lead end-to-end research across the product lifecycle, including 0→1 discovery on big bets, concept testing, and post-launch UX/UI iterations
• Develop strong product intuition to generate insights and product ideas that connect the learner experience to product strategy, tradeoffs, and measurable outcomes
• Build durable visibility for research: establish systems for sharing outputs and deliver regular, decision-focused updates that keep stakeholders aligned
• Elevate research impact through leadership beyond your own projects: mentor other researchers, uplevel our research practices, and introduce innovative methods/tooling when it increases speed and rigor

✅  You have...

• 8+ years of experience leading product research for consumer-facing digital products, including owning complex problem spaces
• Mixed-method, collaborative research experience working with designers and product managers
• Experience using AI tools throughout the research process
• Demonstrated ability to generate clear and concise insights that deliver successful product outcomes
• Experience thriving in high-velocity environments while maintaining strong research rigor and craft

⭐  Exceptional candidates will have...

• Experience conducting international research or working with globally diverse audiences
• Familiarity with SQL
• Experience in consumer tech or gaming