Coda seeks an experienced engineering manager to lead a talented software engineering team, focusing on key system ownership and driving technical advancements. The role emphasizes strong leadership, culture embodiment, and collaboration with product and recruiting teams. Candidates should possess deep technical expertise and proven leadership in fast-paced, innovative environments.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Engineering management roles are critical to the success of Coda. In addition to being technically excellent, our managers need to exhibit strong leadership and superb people management skills. We give our managers an extreme amount of autonomy and responsibility, so they must be strong examples of Coda's top-notch culture.
Responsibilities
- Lead a team of 6 to 12 software engineers.
- Take ownership of one or more key systems at Coda, working with your team to constantly drive our technology forward and define an aggressive technology roadmap.
- Work closely with the Product team to ensure goals and work are clearly defined, at both the OKR and day-to-day levels.
- Own the execution of product and technical goals.
- Coach team members using continuous improvement techniques, resulting in a high-performance team.
- Collaborate with the recruiting team to attract strong engineering talent.
- Passion for building great products and software.
- Exemplary communication skills, both written and oral.
- Experience in an agile environment, with the ability to analyze and optimize team productivity.
- 5+ years of experience as a successful software engineer working on hard problems.
- 2+ years as a technical lead, manager, architect, or other leadership position.
- Strong experience with data technologies (RDBMS, NoSQL, message queues, etc. ).
- The ability to query, analyze, and work with data to drive decision-making.
- Expert architectural skills.
- The ability to write and review code as necessary.
- Able to quickly learn or evaluate new technologies.
- Experience with extremely high-scale, distributed systems.
- Deep knowledge of security or cryptography.
- Machine learning and big data knowledge.
- Experience building systems in the AWS cloud.