Generative AI Engineering Manager (Hybrid)

As a Generative AI Engineering Manager at Nexxen, your key responsibilities include leading and mentoring two teams focused on developing conversational agents, managing the team roadmap, and overseeing project execution. You will collaborate closely with stakeholders to ensure alignment on goals, while also exploring advanced AI technologies to enhance our platform.

Candidates for the Generative AI Engineering Manager role at Nexxen need a BSc in Computer Science or a related field, at least three years of experience in leading engineering teams, and six years in developing customer-facing full-stack applications. Proficiency in Python and understanding of large language models are essential.

Nexxen promotes a unique company culture captured by the '3Cs' – Customer Centric, Curious Mindset, and Collaborative with No Ego. This environment enables the Generative AI Engineering Manager to make impactful contributions while encouraging personal growth and team success.

Essential technologies for the Generative AI Engineering Manager at Nexxen include Python, SQL, NoSQL databases, and familiarity with Node.js. Experience with advanced technologies like Langchain or Langraph will also be beneficial in driving innovative solutions.

The Generative AI Engineering Manager role at Nexxen is hybrid, primarily based in Tel Aviv, Israel. This flexible arrangement allows managers to collaborate with teams in the office while enjoying the benefits of remote work.

When asked about your leadership style, focus on how you encourage collaboration and foster a curious mindset among your teams. Highlight your commitment to building a supportive environment where team members feel empowered to innovate.

Share specific experiences where you utilized large language models in your projects. Discuss how you approached prompting and reasoning strategies, linking these to successful outcomes in your previous roles.

When answering this question, outline your process for assessing project needs and stakeholder input. Explain your methods for maintaining flexibility while aligning team efforts with company goals.

Use the STAR method (Situation, Task, Action, Result) to describe your challenge. Emphasize how your leadership skills led to successful resolution, and any metrics that showcased the positive outcome.

Be prepared to discuss specific AI-driven solutions you've developed or contributed to. Highlight the impact those solutions had on product capabilities and business objectives, and any unique methods you employed.

Focus on your communication strategies and collaborative tools you utilize to maintain alignment between teams. Discuss regular check-ins, shared documentation, and celebrating successes as prime examples.

Detail any relevant projects where you participated in designing and deploying conversational agents, including your specific contributions and the technologies you used to bring those projects to life.

Provide concrete examples of how you have navigated both SQL and NoSQL databases in past projects. Focus on specific applications or integrations where you leveraged your skills to optimize data management.

Highlight your strategies for fostering a motivated culture, such as recognizing achievements, providing growth opportunities, and creating a space for open communication where team members feel valued.

Discuss your commitment to continuous learning through industry conferences, online courses, and networking with other professionals. Share any specific resources or communities you engage with regularly.