Jovonia Thibert, Amazon's director of robotics strategy
Jovonia Thibert is Amazon's director of robotics strategy, evaluating priorities for how robots can optimize the delivery of products and where automation can drive innovation at Amazon.

How chance encounters sparked a career in engineering and robotics

Jovonia Thibert, director of strategy for Amazon Robotics, has a career that spans two decades — thanks in part to a lesson from her parents.

Jovonia Thibert was a teenager when she unexpectedly got the internship that would launch her career. As a senior in high school, she was handing out maps and flyers to attendees at a job fair the St. Louis area, where she grew up. Even though the fair was for graduating college students, Thibert's mother told her to bring a resume — just in case.

Thibert did, and she ended up stationed next to the Boeing booth, striking up a conversation with the recruiter there. By the end of the event, Thibert — who was already taking college classes while in high school — had landed a summer internship at the aerospace company.

"I was just floored with excitement," Thibert recalled, crediting her parents' support. "My parents always prepared us to be ready for when an opportunity presents itself: Show up professionally, showcase who you are, and know that you are just as good as anyone else, because you have skills."

Holistic leadership

Thibert is now Amazon's director of robotics strategy, evaluating priorities for how robots can optimize the delivery of products and where automation can drive innovation at Amazon. For the past decade, robots and automation have been a key factor in how Amazon processes orders at fulfillment centers, making work easier (and potentially more meaningful) for employees. "We're continuing to look at how we develop autonomous systems and improve them so that it's simple and safe for employees to interact with our technology," Thibert said.

Robotics at Amazon
Teaching robots to stow items presents a challenge so large it was previously considered impossible — until now.

Before joining Amazon in early 2020, Thibert worked at Boeing for nearly 20 years in one capacity or another, from her internship to her most recent position as a chief program engineer executive for the 767 fleet. The long stretch at Boeing spans a career marked by steady evolution and advancement.

"As an engineer and leader, I look at the full design life cycle loop of a product or a service, and make sure that we’ve covered every aspect," Thibert said. She sees her role as getting a team to a place where they understand the customer's needs, have a good working rhythm, and are getting feedback on how a system is performing so they can iterate. That process is a balance between a sprint and a journey with the customer, she said.

Electrical engineering allows you to go lots of different places, it's the nucleus for future technologies.
Jovonia Thibert

But Thibert's view of leadership goes beyond this, taking into account how people are doing mentally, physically, emotionally, and spiritually. "All the EQ [emotional intelligence] spaces have to be covered, as a leader," she said. "It's not just looking at costs and schedules and what the customer needs."

Thibert achieves this holistic approach by complementing monthly business reviews with regular check-ins, at both team and individual levels. Her empathic approach to leadership results, in part, from her being "deathly shy" as a kid. "There's power in being an introvert. I say that because we have the gift of meeting people one-on-one where they are," she said.

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As an introvert, Thibert recharges with music. Trained on piano and viola, she also sang in church and still does today. At the University of Tulsa, she earned bachelor's degrees in both music and electrical engineering. She wanted to be the next Herbie Hancock, she said, pointing to the performer's pioneering union of music and technology. "Electrical engineering allows you to go lots of different places," she said. "It's the nucleus for future technologies."

After graduation, Thibert noted music became “part of my creative and spiritual outlet.” She dove deeper into technology and business, earning master's degrees in electrical and electronics engineering at Tulsa, and business administration at Seattle Pacific University.

Another fateful meeting

Many years after that fateful job fair meeting in high school, Thibert once again found herself being recruited by chance. In 2019, she met a now former Amazon executive (Darcie Henry, who was then vice president of People eXperience and Technology), on an executive panel at the Pacific Northwest MBA Conference. The two discussed their passions for developing technology and broadening STEM access in K-12 schools.

Thibert wasn't looking to leave Boeing at the time, but the connection stuck. "I think that's part of Amazon’s superpower," Thibert said. "You never know when you're in an interview, so always be ready." Several months after their first meeting, Henry reached out to Thibert to see whether she would consider joining Amazon.

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Thibert saw the opportunity to grow as a technology leader and further Amazon's efforts in a new arena. In 2020, she joined as Amazon Robotics director, building out a new global team focused on human factors ergonomics innovation. The team's main goal: enhance and complement employees' experiences with robots. Thibert noted she brought from Boeing a passion for understanding both internal and external customers, along with her years of maintaining a high bar of safety and reliability.

When hiring people for her teams, she looks across all the Amazon leadership principles, but especially the ability to think big and dive deep. Thinking big means an engineer "can think long-term, not just about their specific subsystem or component, but at the system architecture level," she said. And diving deep means going beyond the surface of a customer's needs to look not only at what products they buy today, but what they may need in the future.

"Our teams dive not just into needs, but potential predictive space.," Thibert said. "That way, we can help the customer before they even realize they need help."

Lending a hand to young engineers

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Before taking on her current role as director of robotics strategy earlier this year, Thibert was an engineering director for Prime Air, where she led drone design, testing, and product field support. During that time, she got involved in a new Amazon program with students at Hampton University, a historically Black research university in Hampton, Virginia.

"I have enjoyed seeing Amazon be intentional in diversifying how we recruit and retain talent," Thibert said. "Our Hampton collaboration provides an opportunity to look at a new source of talent for our early-career engineers and provide a space for our engineers to develop the next generation."

Amazon Robotics and Hampton University panel discussion
Jovonia Thibert, director of robotics strategy at Amazon, talks with Alissa Harrison, vice president for Information Technology at Hampton; Jean Muhammad, chair of the Hampton computer science department; and Demetris Geddis, assistant dean at Hampton University.

For those young engineers just starting out, Thibert has three pieces of advice: Stay curious, dream big, and never limit yourself. For established leaders, she has a suggestion exemplified by the Hampton University collaboration.

"Don't just look forward," she said. "Continue to reach back and help guide others that are on their journey."

Research areas

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US, CA, Santa Clara
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US, WA, Seattle
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GB, London
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JP, 13, Tokyo
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DE, BE, Berlin
Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. You will collaborate with a wide range of stakeholders (You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast-paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded. Key job responsibilities Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will develop complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development. Common tasks include: • Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines • Work closely with software engineering teams to drive scalable, real-time implementations • Collaborate closely with team members on developing systems from prototyping to production level • Collaborate with teams spread all over the world • Track general business activity and provide clear, compelling management reports on a regular basis We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU | Berlin, DEU
DE, BY, Munich
Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. You will collaborate with a wide range of stakeholders (You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast-paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded. Key job responsibilities Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will develop complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development. Common tasks include: • Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines • Work closely with software engineering teams to drive scalable, real-time implementations • Collaborate closely with team members on developing systems from prototyping to production level • Collaborate with teams spread all over the world • Track general business activity and provide clear, compelling management reports on a regular basis We are open to hiring candidates to work out of one of the following locations: Munich, BE, DEU | Munich, BY, DEU | Munich, DEU
IT, MI, Milan
Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. You will collaborate with a wide range of stakeholders (You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast-paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded. Key job responsibilities Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will develop complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development. Common tasks include: • Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines • Work closely with software engineering teams to drive scalable, real-time implementations • Collaborate closely with team members on developing systems from prototyping to production level • Collaborate with teams spread all over the world • Track general business activity and provide clear, compelling management reports on a regular basis We are open to hiring candidates to work out of one of the following locations: Milan, MI, ITA
ES, M, Madrid
Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. You will collaborate with a wide range of stakeholders (You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast-paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded. Key job responsibilities Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will develop complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development. Common tasks include: • Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines • Work closely with software engineering teams to drive scalable, real-time implementations • Collaborate closely with team members on developing systems from prototyping to production level • Collaborate with teams spread all over the world • Track general business activity and provide clear, compelling management reports on a regular basis We are open to hiring candidates to work out of one of the following locations: Madrid, ESP | Madrid, M, ESP
US, CA, San Diego
The Private Brands team is looking for an Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights. We are an interdisciplinary team of Scientists, Engineers, and Economists and primary focus on building optimization and machine learning solutions in supply chain domain with specific focus on Amazon private brand products. Key job responsibilities You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. We are particularly interested in candidates with experience in predictive and machine learning models and working with distributed systems. Academic and/or practical background in Machine Learning are particularly relevant for this position. Familiarity and experience in applying Operations Research techniques to supply chain problems is a plus. To know more about Amazon science, Please visit https://www.amazon.science We are open to hiring candidates to work out of one of the following locations: San Diego, CA, USA | Seattle, WA, USA
LU, Luxembourg
Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. You will collaborate with a wide range of stakeholders (You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast-paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded. Key job responsibilities Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will develop complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development. Common tasks include: • Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines • Work closely with software engineering teams to drive scalable, real-time implementations • Collaborate closely with team members on developing systems from prototyping to production level • Collaborate with teams spread all over the world • Track general business activity and provide clear, compelling management reports on a regular basis We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX