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: English is required as we serve customers throughout Canada from our Montreal location, and a significant majority of business is conducted in English; however, wherever possible, we will support the employee's right to work in French. 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.

#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: English is required as we serve customers throughout Canada from our Montreal location, and a significant majority of business is conducted in English; however, wherever possible, we will support the employee's right to work in French. 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.

#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

What we are looking for

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 Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

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

#Mid-Senior 

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 visionary Staff Technical Lead Manager (TLM), IT Systems Engineering to build and lead our Applications Engineering team. This is a unique opportunity to shape the strategy, technical direction, and culture of a team that will directly impact the entire organization. As a Staff TLM, you will be responsible for both managing a talented team of systems engineers and system administrators and providing hands-on technical leadership. You will architect a cohesive and secure SaaS ecosystem, drive our enterprise AI strategy, and champion a culture of automation and continuous improvement. Your team manages the critical SaaS applications, integrations and automations that powers our engineering and business operations. This team drives the use of Enterprise AI to create intelligent, end-to-end solutions that drive efficiency and unlock new capabilities for everyone at Aurora.

In this role, you will

• Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
• Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.). Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms.
• Provide technical guidance, review system architecture, and contribute to complex integration and automation projects. Serve as the primary technical expert for the team's domain.
• Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions. Champion best practices for application governance, security, and data management.
• Lead the strategy and execution of enterprise AI solutions and productivity tools.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in IT, software engineering, or systems engineering, with at least 3+ years in leading engineering teams in delivering complex, large-scale enterprise applications or platform services.
• Deep, hands-on experience administering and integrating a suite of modern SaaS applications (e.g., Atlassian suite, Google Workspace, Slack, an incident management platform)
• Strong proficiency in a scripting language (e.g., Python, JavaScript/Google Apps Script) and extensive experience with APIs, webhooks, and integration platforms
• Experience in implementing and leveraging AI solutions.
• Strong understanding of APIs, integrations, and cloud-native architectures.
• Strong communication and presentation skills. 

The base salary range for this position is $139,000 - $223,000. 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.

#Mid-Senior

About the Role:

As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel. You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines. Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume.

• Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency.
• Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments.
• ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency.
• API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms.
• Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency.
• Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions.

Responsibilities:

• Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure.
• Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready.
• Build scalable backend services for automated QA to and AI-assisted labeling plugins.
• Write high quality Python and SQL.

Qualifications: 

• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Strong development experience with Python and SQL.
• Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus.
• Prior experience with ML Ops workflows is a plus.
• Prior experience building and managing data platforms for multimodal ML needs is a plus.
• Prior experience with agentic workflows is a plus. 
• Prior experience in autonomous vehicles (AV) is a plus.

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

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

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

Meet the team:

The Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Web Application Development: Design and develop custom GIS web applications and self-service tools (e.g., Route storage and management apps) that empower Latitude engineers and leadership
• Experience Builder & Custom Widgets: Build and extend ArcGIS Experience Builder applications through custom widgets and components. Integrate turnkey/CoTS solutions with custom codebases to optimize concept realization
• UX & Interface Design: Create intuitive, performant, and visually compelling user interfaces for geospatial data exploration and analysis. Translate complex geospatial workflows into accessible, user-friendly application features for non-GIS experts
• Portal Management & UI Standards: Architect and manage a centralized, highly discoverable GIS portal. Establish and maintain reusable UI components, design patterns, and frontend best practices
• API & Backend Integration: Integrate web applications with GIS services, APIs, and backend data pipelines, seamlessly connecting performant geoprocessing services into front-end widgets
• Collaboration: Collaborate with GIS Services peers, Product Managers, Engineers and Executives to deliver seamless end-to-end user experiences
• User Testing & Support: Conduct user testing and incorporate feedback to continuously improve usability and functionality. Create user-friendly technical documentation and act as a champion for GIS adoption across Latitude

What you'll need to succeed:

• Bachelor’s degree with two years of employment experience. In lieu of a Bachelor’s degree, an Associate’s degree with four years of employment experience or a High School Diploma or GED equivalent with six years of employment experience required
• Proven experience using the ArcGIS Maps SDK (JavaScript/TypeScript). Familiarity with alternative web mapping libraries (e.g., Mapbox GL JS, Leaflet) is a strong plus
• Strong proficiency in front-end web development languages (JavaScript, TypeScript, HTML5, CSS3) and modern frameworks (e.g., React, Vue, or Angular)
• Exceptional Python and SQL skills for data preparation, querying, and geoprocessing script integration
• Experience deploying and maintaining Esri WebGIS Enterprise Architecture (custom WebApps and Experiences)
• Proficiency in GIS software such as ArcGIS Pro, QGIS, or similar
• Strong analytical and problem-solving skills, with a keen eye for translating dense spatial data into beautiful, readable visual products
• Excellent communication and teamwork abilities to bridge the gap between highly technical spatial concepts and everyday user needs

Nice to have: 

• Experience building high-level operational dashboards (e.g., ArcGIS Dashboards, Grafana) for live tracking of SLA metrics
• Familiarity with visualizing large-scale 3D spatial data, point clouds, or high-frequency autonomous vehicle (AV) event data in a web browser
• Experience with UI/UX prototyping and wireframing tools (e.g., Figma, Adobe XD)
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment
• Experience working in an Agile software development environment using Jira, Git, and CI/CD workflows for front-end deployment

What we offer you:

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

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

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

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

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

The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 

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:

As a Principal Engineer within the Platform Engineering group, you will serve as the primary architect for Motional’s global cloud and hybrid infrastructure. Your mission is to evolve our current R&D environment into a hardened, cost-efficient, and scalable commercial backbone. You will lead the technical strategy for our hybrid cloud migration and ensure our internal frameworks provide  the velocity required for rapid AV deployment.

What you’ll be doing:

• Architect and drive the execution of our hybrid cloud strategy. You will design the networking, security, and compute abstraction layers that allow seamless workload mobility between on-premises high-performance computing (HPC) and AWS.
• Serve as the primary architect for our Kubernetes-based developer framework. You will identify and implement core improvements to the framework to enhance scalability, cost tracking and access control, reduce configuration complexity, and increase developer velocity.
• Lead organization-wide initiatives to harden service reliability. You will define the standards for observability, failover strategies, and production-grade stability across all platform-layer services.
• Prototype and deploy GenAI-focused tooling and agents to automate Platform Engineering tasks. This includes leveraging LLMs for automated incident response, predictive infrastructure scaling, and intelligent log analysis.
• Act as the final technical authority for infrastructure decisions, ensuring all new platform services align with long-term scalability and security goals.

What we’re looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 12+ years in Software or Infrastructure Engineering, with significant experience in a Principal or Architect capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (EKS, Operators (KubeRay, ArgoWorkflow, Airflow), Service Mesh, GitOps)
• Proven track record of designing and migrating complex workloads between on-prem data centers and AWS
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff.

Bonus Points (not required):

• Expert-level experience managing and architecting solutions using Equinix datacenter products and services (e.g., Equinix Fabric, Network Edge, Metal) to enable high-speed hybrid cloud connectivity (AWS Direct Connect)
• Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
• Experience leading technical projects in a globally distributed team
• Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks

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.

About the Role:

In the ML Data Understanding team, our mission is to provide trusted and useful data to efficiently power all of Stack's ML applications end-to-end from mining to training to safety evaluation. We work hand in hand with AV autonomy teams to provide cutting edge solutions to all their data needs, working across data engineering, mining, modeling and infrastructure. In particular, we provide services to find (data mining), curate (datasets), annotate (data labeling), search and serve (high throughput data access) data for all ML needs.

• Data Mining: We are building a framework and infrastructure to find interesting events quickly and flexibly. As part of this mission, you would be setting the direction for and helping us build an inference service using LLMs, open-world models and vector databases.
• Semantic Search for Data Mining: We are building the infrastructure of a highly scalable semantic search service for multimodal data to find interesting events quickly and flexibly. As part of this mission, you would be setting the direction for and helping us build an inference service using the latest AI models & approaches. 
• Dataset management for training: We are building state of the art infrastructure to support machine learning training and inference workloads using OSS components such as Ray, Spark, Lance and Iceberg.

Responsibilities:

• Build state-of-art multimodal data mining and semantic search solutions to power AV product development.
• Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar.
• Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development. 
• Develop e2e solution for real-time semantic search services (text/images/videos) and vector DBs.
• Discover and identify key issues in existing ML infra and proactively improve system performance.
• Build low latency/high throughput batch or stream processing pipelines.
• Drive technical discussions across multiple orgs and deliver solutions on a timely basis.
• Architect and tune ETL pipelines to maximize GPU/CPU/Ram utilization.
• Write readable and high-performance Python/C++ code.

Qualifications: 

• Experience with both ML platforms and building ML-based applications (modeling experience is a bonus).
• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Experience building or using ML infrastructure for a large number of customer teams.
• Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others.
• Experience in building ML models or infrastructure in domains such as autonomous vehicles, perception, and decision-making (desirable but not required).
• Experience with model training, model optimization, or large data processing pipelines.
• Prior experience in autonomous vehicles (AV) is a plus.
• 6+ years of experience with:
  • Multimodal data indexing and inference pipelines.
  • Building semantic search service, embedding generation for video/images and vector DB.
  • Large scale ML pipelines (Airflow/Flyte) and model optimization.

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

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

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

Meet the team:

Latitude Cloud Platform engineers create reusable architecture via infrastructure as code for Latitude teams to leverage as common shared components and educate Latitude teams on how to architect their solutions for scale, security, and reviewed changes through automation. This includes ownership of the workload ecosystem on Kubernetes running on public and hybrid cloud environments.

The Cloud Platform team interacts with engineering teams including ingest/data processing, mapping, labeling, triage, machine learning (detection, prediction, tracking), motion planning/control, offline simulation, and release/deployment teams to unify development practices and scalable efficiency of cloud/cloud native technologies.

What you’ll do: 

• Architect and scale a multi-tenant, hybrid-cloud Kubernetes platform to ensure seamless workload portability across public and internal environments
• Develop custom Kubernetes operators and self-service abstractions to simplify complex infrastructure management for autonomous vehicle engineering teams
• Optimize high-performance distributed workloads by architecting specialized compute environments for ML and simulation on heterogeneous hardware
• Standardize end-to-end GitOps workflows and CI/CD pipelines to automate security, networking, and observability across the infrastructure lifecycle
• Provide technical leadership and architectural guidance to ensure engineering teams build resilient, cost-effective services aligned with cloud-native best practices
• Manage the lifecycle of critical platform components like service mesh and networking while proactively resolving systemic bottlenecks in hybrid cloud environments

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Hands on development in Python, Go, or Java to create production level services that incorporate CI/CD
• Experience in using infrastructure as code to automate the creation of cloud resources. E.g. Terraform, CloudFormation, or others
• Strong experience with architecting/deploying scalable services and workloads in the cloud (AWS, GCP) and/or cloud native environments
• Strong experience with deployment management/scheduling/high availability/failure modes for distributed applications and compute workloads running on CPUs and GPUs
• Understand engineering design limitations and provide guidance for teams to scale their deployments in the cloud so that they can achieve desired performance within budget
• Experience creating reusable deployment patterns for teams to adopt, that incorporate networking, security, monitoring, logging, alerting, continuous integration and deployments
• Understanding of API specification languages (e.g. Open API/gRPC) and the ability to create reusable code via code generation, templates, and other rapid development techniques for teams to consume
• Leverage and modify open source tools to meet unique requirements for internal teams, including but not limited to Kubernetes, Prometheus, FluentD, Istio, Envoy, CoreDNS, etcd, Flux, among others

What we offer you:

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

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

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

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

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

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

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

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

Meet the team:

The People Team at Latitude is a comprehensive unit supporting the entire employee lifecycle—from recruitment and onboarding to total rewards, performance management, and specialized HR operations. We are looking for a Sr. People Operations Analyst to serve as the technical backbone of our People Technology ecosystem. 

As a subject matter expert in HR Technology, you will lead the evolution of our core platforms: Workday (HRIS), Greenhouse (ATS), and Lattice (People Success). We are seeking a technical Workday power-user who is passionate about driving operational efficiency, scaling systems for growth, and translating complex business needs into elegant technical solutions. In this role, you won't just maintain systems; you will architect the future of Latitude’s HR technology landscape.

What you’ll do: 

• System Strategy & Implementation: Lead the end-to-end lifecycle of HR technology projects, from initial requirements gathering and configuration to testing, deployment, and post-launch optimization
• Module Expansion: Provide technical leadership for the implementation of new HR modules and the integration of emerging tools into the existing ecosystem
• Lifecycle Events: Drive the technical configuration and execution of critical annual cycles, including Open Enrollment, Performance Management, and Compensation, ensuring a seamless experience for employees and administrators
• Process Optimization: Continuously audit and enhance current People Team workflows, identifying opportunities to automate manual tasks and eliminate friction
• Troubleshooting & Support: Serve as the primary technical lead for troubleshooting complex system issues and managing integrations, partnering closely with IT to resolve escalated access or data errors
• Advanced Analytics & Data Integrity: Architect advanced reports and dashboards to provide leadership with actionable insights into workforce trends and organization health, ensuring data flow remains accurate, secure, and compliant
• Standardization & Documentation: Author and maintain comprehensive technical documentation, standard operating procedures (SOPs), and detailed user guides to ensure operational consistency and data integrity across all HR platforms
• Training & User Enablement: Facilitate live, hands-on training sessions and workshops for employees, managers, and the People Team to drive system adoption and self-service proficiency across the organization

What you'll need to succeed:

• Educational Background: Bachelor’s degree in Human Resources, Information Systems, Business Administration, or a related field
• Technical Expertise: 4+ years of HRIS experience, including at least 2 years of hands-on Workday configuration and administration
• Project Leadership: Proven track record of leading cross-functional HR technology projects and system implementations from inception to completion
• Analytical Problem-Solving: Strong ability to troubleshoot complex technical issues, escalate appropriately, and provide data-driven solutions
• Communication & Influence: Ability to translate complex technical concepts for non-technical stakeholders and collaborate effectively across the People and IT teams
• Data Integrity & Discretion: Exceptional attention to detail and a high degree of discretion when handling sensitive or confidential employee information
• Professionalism: A solution-oriented mindset with a commitment to operational excellence and team collaboration

Nice to have: 

• Platform Familiarity: Prior experience administering or integrating Greenhouse (ATS) and Lattice (People Success Platform)
• Industry Context: Previous experience within the technology sector or a similar corporate environment
• Advanced Reporting: Experience building complex calculated fields and custom reports within Workday

What we offer you:

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

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

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

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

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

The journey to developing our cutting-edge self-driving truck Driver software requires a massive and continuous computational effort. Every day, Aurora's engineers initiate and manage millions of compute tasks, systematically processing and analyzing petabytes of critical data. This colossal computational workload spans various essential domains, including raw and derived data processing pipelines, large-scale simulations to test and validate the software in countless scenarios, and the intensive machine learning training jobs that are the core of our autonomous system's intelligence.

At the heart of orchestrating this monumental compute infrastructure is the Compute team. This team is dedicated to building and maintaining the foundational technology that solves the fundamental challenges of resource scheduling, task isolation, and distributed state consistency across our massive batch compute fleet. At our scale, traditional off-the-shelf orchestrators break. The Compute team builds the custom engine - BatchAPI - that manages the lifecycle of millions of tasks - built on top of K8s primitives but implements our own custom scheduler.

We deal with the 'unsolved' problems of distributed computing: maximizing hardware utilization while ensuring that a failure in one node doesn't cascade across the entire cluster. This engine is engineered to handle massive scale, ensuring reliability, efficiency, and rapid turnaround for our engineers.

Furthermore, the Compute team empowers engineers across the company to effectively harness this compute power. They develop and maintain the Batch Workflows Python SDK. This framework provides an intuitive, high-level interface that allows engineers to programmatically define, construct, deploy, monitor, and manage their complex computational workloads. The SDK abstracts away the complexities of the underlying infrastructure, enabling engineers to focus purely on the logic and goals of their data processing, simulation, or training tasks, thus accelerating the entire development cycle for the Aurora Driver.

In this role you will

• Design, implement, and maintain core components of the high-performance, large-scale distributed batch compute engine (BatchAPI). Architect and optimize the scheduler, resource allocator, and execution engine of BatchAPI to handle bursty, heterogeneous workloads with minimal overhead.
• Design low-latency APIs and resilient communication protocols that bridge our Python SDK with the Golang-based core engine.
• Develop high-level workflow abstractions, enabling engineers across the company to programmatically define, deploy, and manage complex data processing, simulation, and ML training pipelines. 
• Solve complex problems in distributed locking, throttling, and fair-share scheduling to ensure multi-tenant stability.
• Drive continuous improvements in the performance, scalability, and resilience of the entire compute infrastructure, implementing robust monitoring and alerting systems to maintain operational excellence for critical workflows.
• Collaborate closely with infrastructure and product engineering teams (e.g., Autonomy, Data, Simulation, Machine Learning) to gather requirements, provide expert consultation, and integrate compute workflows with key company systems.

Required qualifications

• 5+ years of professional software engineering experience.
• Deep expertise in Golang (for core systems) and Python (for SDK/API layering).
• Strong understanding of distributed systems fundamentals (e.g., CAP theorem, consensus algorithms, or gossip protocols).
• Experience with performance profiling and tuning (e.g., memory management, I/O bottlenecks, or network latency optimization).
• Specialized knowledge of container orchestration systems like Kubernetes.
• Proven track record of driving continuous performance, scalability, and resilience improvements in production environments managing critical data.
• Familiarity with cloud provider compute and data services (e.g., AWS EKS, S3, RDS).

Desirable qualifications

• Experience working with computational workloads specific to the autonomous vehicle, robotics, or large-scale machine learning domains (e.g., data processing for perception, simulation, or model training).
• Demonstrated ability in creating and refining user-facing tools, including adeptness at incorporating user feedback, managing expectations, and effectively prioritizing development based on user needs.
• Web UI development experience (Typescript, React)

 #LI- #Mid-Senior 

The base salary range for this position is  $146,000 - $234,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $191,000 - $306,000. 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-Staff

We are seeking a hands-on IAM Engineer to support the technical execution of our modern identity ecosystem. You will be the primary "labor" engine responsible for implementing our newly licensed tools (Conductor One and Ping Directory). You will be working closely with the IAM Architect in this role.

We’ve moved past the basics; our stack is built on Zero Trust principles, featuring SPIRE, Open Policy Agent (OPA), and a custom-built group management engine. You will own the full IAM lifecycle, evolving our existing infrastructure into a scalable, modern ecosystem that serves as a competitive advantage for our operations.

In this role you will

• Platform Implementation: Complete baseline environment configuration for Ping Directory and Conductor One across Dev and Prod tiers.

• Workforce Automation: Integrate HRIS (Workday) with the IGA platform to automate Joiner-Mover-Leaver (JML) processes.
• Technical Connectivity: Build and validate production-ready connectors for the core ecosystem, including Okta, AWS, Google, Slack, and Squad.
• Compliance Hardening: Deploy "Justify or Revoke" workflows and automated reporting to support SOX/ISO privileged access reviews.
• Identity Isolation: Execute the migration of Workforce and Service identities to Ping Directory.
• Operational Readiness: Define technical test plans, draft formal procedural documentation for audits, and create system runbooks for the permanent operations team.

Your primary focus will be the build, deployment, and configuration of the core IAM platform.

Required qualifications

• Experience: 4+ years in Information Security, with at least 2 years specifically focused on implementing IAM solutions in large enterprise environments.
• Identity Expertise: Expert-level knowledge of at least one major Cloud Identity Provider (AWS IAM, Azure) and core protocols including SAML, OAuth 2.0, OIDC, SCIM, and LDAP.
• Modern Principles: Deep understanding of Zero Trust principles and access models such as RBAC, ABAC, and PBAC.
• Education: Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience.
• Ability to develop code in either Python or Go.

Desirable qualifications

• Identity Providers: Experience with integration patterns with IdPs such as Okta, Auth0 or Microsoft Entra ID.
• IGA/PAM: Experience with Conductor One, SailPoint, Saviynt or similar platforms.
• Directory Services: Hands-on experience with Ping Directory or similar LDAP solutions. Including monitoring for performance and fine-tuning CPU, Memory and Storage.
• Cloud Infrastructure: Understanding of AWS cloud infrastructure and security concepts. Comfortable with Kubernetes and Infrastructure-as-Code (IaC) such as Terraform and Helm and CI/CD platforms such as ArgoCD.
• API Security: Experience protecting APIs using OAuth scopes and claims.
• Troubleshoot and resolve complex integration and performance issues across the IAM stack.

The base salary range for this position is  $146,000 - $211,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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

We’re searching for a Senior software engineer to join Aurora’s Vehicle Data Management team. The Vehicle Data Management Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.

In this role, you will

• Architect and implement on-vehicle/offload + cloud data systems that scale to hundreds of PB of multimodal data (sensor/log/sim/ML datasets).
• Improve reliability and performance of offline data workflows: throughput, latency, and discoverability (indexing/metadata/search).
• Build internal tooling, libraries, and operational patterns that make data pipelines  evolve and scale.
• Own key services end-to-end (design, implementation, rollout, on-call/operations, observability, and incident response).
• Partner directly with stakeholders across onboard systems, autonomy, ML, and infrastructure to deliver pragmatic solutions.

Required Qualifications

• BS/MS or PhD in Computer Science or a related field
• Minimum 3-5 years related experience
• Required programming skills: GoLang/Python
• General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
• AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
• Knowledge of database design, database management and database scalability.

Desirable Qualifications

• Proficiencies with coding in C++ 
• Proficiencies with Linux system 
• Experience with large scale distributed systems or microservice architectures
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Ability to navigate and work efficiently in large codebase 
• Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.

The base salary range for this position is  $146,000 - $234,000 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-#Mid-Senior 

About The Role

Join the Autonomy team as a Senior Software Engineer where you will architect and contribute to the core robot software platform by driving the development of critical software modules and their interfaces. You will establish a data-driven approach to system performance by building scalable telemetry and metrics infrastructure, alongside rigorous regression testing plans, to track KPIs and monitor long-term reliability. This high-impact role is essential for enabling the next phase of commercial scaling by ensuring the robot can reliably perceive, plan, and execute complex tasks within dynamic environments.

About The Work

• Drive the implementation of selected middleware solutions to optimize communication and scalability across the core software platform.
• Define, document, review, and enforce process boundaries and API contracts, driving organization-wide alignment.
• Collaborate closely across the robot software and architecture teams to solve complex, cross-functional problems and ensure robust performance on physical robot hardware.
• Own and maintain the large-scale regression pipelines to automatically measure critical autonomous behavior metrics and track key performance indicators (KPIs) across motion planning, navigation, and localization.

About You

• Demonstrated expertise in designing and implementing multi-process robot architectures and distributed systems. Proficiency with different robotics middleware solutions (e.g., ROS, DDS, custom messaging) and experience with inter-process/inter-machine communication.
• Strong experience developing and maintaining telemetry/metrics pipelines (e.g., using OpenTelemetry/Otel). Proficiency in querying and analyzing large datasets using SQL-like big data tools (e.g., Amazon Athena, Spark SQL) and time-series databases (e.g., Prometheus, InfluxDB).
• Demonstrated expertise in simulation at scale, including techniques like domain randomization and procedural content generation. Hands-on experience transitioning models/behaviors from simulation (e.g., Gazebo, MuJoCo, Isaac Sim) to real-world physical robot hardware.
• Proficiency in programming languages commonly used in robotics/testing (Python, C++).
• Experience with CI/CD pipelines (e.g., Git, Jenkins, GitHub Actions) and containerization technologies (e.g., Docker, Kubernetes) for scaling simulation and deployment environments.
• Deep understanding of robotics fundamentals, including kinematics, dynamics, controls, and perception.
• MS or Ph.D. in Robotics, Computer Science, or a related field, or equivalent industry experience.

Bonus Qualifications

• Familiarity with cloud storage solutions and data lakes (e.g., AWS S3, Google Cloud Storage).
• Hands-on experience creating impactful data visualizations and dashboards using tools like Datadog, Grafana, or Apache Superset.
• Experience training or deploying Reinforcement Learning (RL) agents for complex autonomous behaviors.
• Publications in top-tier robotics or related conferences (RSS, ICRA, IROS).

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.