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Engineering Manager for Data Annotation and Machine Learning
2 months ago
We are seeking an experienced Engineering Manager to lead our Verify Team, responsible for building and owning our product to verify and enhance data for machine learning and relate it to model performance. The team works on a cloud-native foundation, using React, Typescript, Scala, and Python, and is empowered to scope and slice increments to achieve a high velocity of valuable, viable, usable, and feasible increments.
Key Responsibilities- Lead, coach, and manage the team, working with a group of driven product developers skilled in backend and frontend development, UX design, and machine learning.
- Interact with developers and stakeholders across the company, ensuring effective communication and collaboration.
- Work closely with product managers on the team's vision, goals, and roadmap, facilitating technical decisions and increment scoping.
- Be responsible for the entire employee lifecycle, including salary and performance review.
- Shine in technical and leadership contexts, with a strong understanding of software development and team management.
- Have good communication skills, a growth mindset, and value outcomes over activities.
- Welcome a challenge and share our excitement for developing as leaders in a fast-paced, trusting, and agile environment.
Kognic is a purpose-driven company with strong values, working on a mission to make everything that moves autonomous. We help AI product teams better understand their data by providing the best annotation platform for sensor-fusion datasets. Our team is building a global company together, and we are now looking for someone to lead one of our development teams.
Why Kognic?- Work in the exciting field of AI and play an essential part in the world's next great technological leap.
- Enjoy a hybrid work model and an employer that prioritizes life-work balance.
- Participate in lots of team and office events, parental pay, salary exchange, excellent health benefits, and more.
