Two women advancing generative AI at AWS

While their roles within Amazon Bedrock don’t overlap, Marcus and Rosenberg find common ground navigating the whirlwind of building solutions atop a shifting foundation of capabilities.

“The generative AI field is a field that is evolving not daily, but hourly,” Rosenberg said. “Our team has worked really hard, and we have a lot of respect for each other.”

Both Marcus and Rosenberg emphasize AWS’s pace of innovation as an impactful driver in their career aspirations and successes. Marcus focuses on aligning her science team to maintain velocity while advancing long-range plans, while Rosenberg highlights the coordination among engineers to upgrade capabilities week-to-week.

“As a science leader, aligning the technology, getting the right people in the seats, and making sure they have a clear vision is something I’ve worked very hard to address and deliver on,” Marcus said. “Success in this space is about keeping your head down and focusing on delivering meaningful things every day.”

Both Marcus and Rosenberg credit Amazon's inclusive work culture as empowering for women, especially for women who seek connections and a sense of belonging at work. As a leader and people manager, Marcus believes fostering an environment of active listening and inclusivity is crucial.

“It’s important to really try to understand and put ourselves in the position of other people in meetings, giving them opportunities to speak and just opportunities to be in the spotlight more,” Marcus said.

She appreciates that at its core, AWS and Amazon work culture rewards performance, enabling anyone to grow their career based on their skills and contributions.

As someone earlier in her career, Rosenberg has already found several inspiring women mentors across AWS in just a few short years.

“Amazon is a very big company, and I can say that in the part of Amazon I work in, we have a significant amount of female representation at all levels so you can really work alongside women and then also be mentored by a lot of female leaders,” Rosenberg said. “Supriya Prabhakar taught me to really understand my limits. Mengjia Sun taught me the importance of asking good questions, and Yue Shen taught me that the amount of trust and respect you give your team makes all the difference in the world, which really creates a team culture where everybody can feel respected.”

Rosenberg has also experienced the trust that leaders across Amazon put in more junior employees to help them grow. Her skip-level manager nominated her to mentor Amazon Bedrock’s only intern last year, which Rosenberg said was a nice way to see the growth potential in her own career.

“You’re probably not going to stay in the same role forever, so it’s nice to know that level of flexibility is really possible as an employee here,” she said. “It’s really valuable to know that what I’m passionate about now, and what I’m passionate about in the future, Amazon is here to support that.”

This sentiment is echoed by Marcus, who emphasizes the role of mentorship in helping employees chart their career paths.

“I work backwards with my mentees to help them create a path toward their career goals. For example, if they are interested in moving to a new role, I tell them to look at the qualifications required for that role,” she said. “I then work with them to find opportunities to fill gaps in their existing qualifications, if any, for them to be successful at that new role.”

To meet generative AI training needs, AWS has launched free and low-cost courses for people of all roles and experience levels based on audience—developer and technical, and business and nontechnical. Amazon also aims to provide free AI skills training to 2 million people by 2025.

Interested in exploring open roles in AI and ML? Visit our AWS generative AI jobs page.