At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are seeking a Division Lead with a strong background in AI solutions and B2B product development. This role demands a deep understanding of enterprise requirements in the domain of software development and also an understanding of the current and future state of the AI industry. The ideal candidate is a strategic, results-oriented leader with experience in engaging pilot customers to drive product adoption and close deals. You will play a pivotal role in shaping the direction of our enterprise-focused AI solutions, ensuring that our product offerings are not only innovative but also market-aligned and customer-centric.

In this role, you will work closely with stakeholders to steer product development from both the technical and business perspectives, ensuring that solutions meet customer and market needs.

Key responsibilities:

Product strategy and market insight: Lead the development of a strategic roadmap for AI solutions targeting enterprise customers. Utilize your deep understanding of technology trends, including retrieval-augmented generation (RAG), agentic approaches, and model training to drive innovation and product differentiation.
B2B product development: Oversee the end-to-end development of AI solutions, with a focus on secure LLM solutions (both cloud and on-premises) that cater to enterprise customers' specific requirements. Drive initiatives that align product capabilities with business objectives.
Customer engagement: Work closely with pilot customers to validate product offerings and establish proof of concept. Leverage these engagements to refine products, close deals, and build lasting customer relationships.
Leadership and execution: Provide strong leadership to your team, inspiring and guiding them to achieve technical and business goals. Collaborate effectively with cross-functional teams, including peer departments, to ensure seamless execution of initiatives.
Technical expertise: Apply your foundational knowledge of enterprise software patterns and their combination with novel GenAI approaches to guide technical decision-making and ensure that AI solutions align with current industry trends and standards.
Stakeholder collaboration: Foster close cooperation with product managers, peer departments, and business stakeholders to align development efforts with customer needs and market demands.
Innovation and continuous improvement: Stay ahead of emerging technologies and advocate for the adoption of new tools and best practices that enhance product capabilities and team efficiency.

Required skills and qualifications:

Experience:
- Minimum of 7 years in software development or AI-related fields, with at least 3 years in a leadership role.
- Proven experience in developing and launching B2B products with a track record of engaging with pilot customers to drive adoption and close deals.
Domain knowledge and technical skills:
- Strong knowledge of B2B product development, particularly in the context of AI solutions for enterprise customers.
- Familiarity with tech trends like RAG, agentic approaches, model tuning, and model training.
- Experience with cloud and on-premises LLMs and the development of homegrown AI models tailored to enterprise needs.
- Foundational understanding of neural networks, GenAI software architectures, and enterprise patterns..
- Strong knowledge of software development tooling (IDEs, version control, CI/CD pipelines, issue tracking systems, etc.).
- Deep understanding of how software developers work and how to optimize their workflows.
Leadership and strategic thinking:
- Proactive, strategic thinking with the ability to build and execute comprehensive product strategies.
- Strong communication and collaboration skills to influence stakeholders and drive technical discussions.
- Ability to work effectively with cross-functional teams and peer departments to ensure cohesive product development.
Education:
- Bachelor’s or Master’s degree in computer science, artificial intelligence, software engineering, or a related field (or equivalent experience). A higher education qualification in the field of management would be a plus.