About the Role:
Planet is looking for a Senior Engineering Manager with a proven background in guiding and mentoring high-performing engineering teams.
In this role, you will be responsible for an engineering team delivering novel machine learning powered products for both external customers and internal use. The team designs the algorithms, integrates these into production systems and maintains them via ML operations (MLOps). For example, the team has developed Road and Building monitoring products based upon our satellite imagery, including global weekly mapping and change detection. They have also built the inference systems that generate cloud masks of all images produced by Planet. The core algorithms that have been developed typically use a combination of computer vision (DL & non-DL) and time series, all cemented in statistical and physical principles. Additionally, the team takes ML models from external partners and integrates them into our systems so that their output can be offered to Planet’s customers.
This is very much a “servant leadership” role, with a high emphasis on enabling your team members to do their best work in an environment that sets them up for success. In particular, you’ll ensure engineers are unblocked on dependencies, take the lead in defining the “what” and “why” of the team’s work, and organize that work in a way that best aligns with organizational and team practices.
The team has a highly collaborative culture and is distributed remotely across USA and Canada.
Impact You’ll Own:
What You Bring:
What Makes You Stand Out:
Benefits While Working at Planet:
The US base salary range for this full-time position at the commencement of employment is $124,000 - $203,000. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.