Who are we?

Planck, now a part of Applied Systems Inc., is revolutionizing the insurance market with its advanced use of Generative AI (GenAI). Our state-of-the-art platform turns unstructured data into real-time, actionable insights, enabling insurance companies to make smarter, faster decisions. As the AI hub for Applied Systems, we are uniquely positioned at the forefront of the industry, driving significant advancements and delivering exceptional value to our clients.

Joining Planck means working in a dynamic startup environment while benefiting from the resources and maturity of a market leader like Applied Systems. We foster an inclusive culture that supports professional development and work-life balance. At Planck, you'll be at the cutting edge of technology, shaping the future of insurance while advancing your career within the larger framework of Applied Systems.

What are we looking for?

We’re seeking a motivated and technically adept leader to guide a cross-functional team of Developers and Data Scientists. You’ll be responsible for leading the development of end-to-end data solutions, ensuring a smooth transition from research to scalable, production-ready systems while maintaining live services.

As a Team Leader at Planck, you will:

• Lead and mentor a cross-functional, Engineering and Data Science team, fostering collaboration and ownership while delivering high-impact solutions.
• Drive the transition from innovation and POC’s to production-level, scalable applications.
• Define best practices for integrating LLM solutions into production.
• Collaborate closely with product, data science, and engineering stakeholders to define goals, tackle complex problems, and deliver tangible results.
• Maintain a culture that balances agility, technical excellence, and continuous learning.
  
  

Requirements:

• 2+ years of experience leading technical teams — ideally with exposure to both engineering and data-focused projects.
• Strong coding background, ideally in Python, with hands-on experience designing and delivering scalable, production-grade systems — and a clear understanding of what it takes to ship high-quality software at scale.
• Experience working with data — whether through pipelines, analytics-heavy systems, backend APIs, or close collaboration with data teams.
• Comfortable with modern development practices such as CI/CD, containerization, service observability, or deploying AI/LLM models at scale.
• Advantage: Experience collaborating with data scientists, analysts, or ML teams and bridging between data and engineering when needed.
• Excellent communication skills — able to explain complex technical ideas to both technical and non-technical audiences.
• A bias for action, ownership, and continuous improvement.
  
  

Benefits:

• Team events, fully-stocked kitchen, yoga, and more
• Great work-life balance
• Hybrid work environment
• Generous amount of PTO days