Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: As the Director of Software Engineering, Analytics, you will lead, staff, and scale the engineering organization that builds Planet’s analytics: the models and pipelines that turn daily satellite imagery into answers about what changed at a site, what is moving in a port, and what is being built across a country. These analytics power Planet’s dual-use products such as Global Monitoring Service (GMS) and Maritime Domain Awareness (MDA) for defense use cases, and are expanding into commercial and civil government use through the same models and platform. You will lead engineering managers and engineers across Denver, Washington DC, remote North America, and Europe. You will be responsible for building the team, the plan, the delivery, and the operating model and will report to the VP of Technology. This is a build role: the organization is moving from hand-built detectors to foundation-model-based methods, scaling from hundreds of monitored sites to thousands, and operating across classified and unclassified environments. This is a full-time, hybrid role which will require you to work from our Denver or Washington DC office 3 days per week. This role requires US person status and the ability to obtain and hold a US government security clearance. Impact You'll Own: • Engineering Leadership & Staffing: Develop and execute a talent strategy supporting our product roadmap. Build a staffing plan and develop, recruit, and hire talent accordingly. Manage performance directly and build bench depth to limit single points of failure. • Delivery & Cross-Team Contracts: Turn program commitments into dated, owned work and report status plainly, including slippage. Own the analytics side of the interface with the Global Monitoring Service (GMS) and Maritime Domain Awareness (MDA) application teams and deliver against the shared quality and latency targets. • Classified & Unclassified Operating Model: Define and execute a strategy for developing models that serve classified and unclassified environments. Serving the needs of customers in classified spaces while keeping the models themselves dual-use. • Foundation Model Transition: Build a strategy for how to evolve our existing portfolio of analytics to stay up to date with the latest developments in foundation models. • Cost & Capacity: Know what each pipeline costs per site and per square kilometer, and plan for the ten-times scale-up that contract growth implies. What You Bring: • 8+ years of experience in software or machine learning engineering, with a focus on computer vision, geospatial analytics, or high-scale data systems. • 6+ years of experience leading engineering teams, including direct experience managing engineering managers and growing an organization through a scaling step. • Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (or equivalent practical experience). • Track record of shipping machine learning, computer vision, or geospatial analytics into production and owning the results. • Direct experience leading engineering work governed by International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR), with cleared and uncleared staff on the same team. • Success pairing with a solid technical lead or architect who owned technical direction while you owned people, plan, and delivery. • Ability to write a clear plan and a clear status report, and to drive delivery against dated commitments. • Defense or intelligence customer exposure, including working directly with operators and analysts. • US person status and an active US government security clearance, or eligibility to obtain one upon hire (TS/SCI preferred). What Makes You Stand Out: • Master’s degree or Ph.D. in Computer Science, Machine Learning, Remote Sensing, or a related technical discipline. • Experience leading a computer vision team through a shift from task-specific models to foundation models or embeddings. • Experience delivering analytics into classified, air-gapped, or sovereign cloud environments (e.g., AWS GovCloud/C2S) and knowing what breaks. • Experience integrating an acquired team or merging two engineering groups. • Domain knowledge in Synthetic Aperture Radar (SAR), maritime, or activity-based intelligence work. Application Deadline: 11:45p / 23:45 PT on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans • Health Savings Account (HSA) with a company contribution • Generous Paid Time Off in addition to holidays and company-wide days off  • 16 Weeks of Paid Parental Leave • Wellness Program and Employee Assistance Program (EAP) • Home Office Reimbursement • Monthly Phone and Internet Reimbursement • Tuition Reimbursement and access to LinkedIn Learning • Equity • Commuter Benefits (if local to an office) • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. 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. #LI-HYBRID US National Salary Range $180,700—$225,900 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging.  We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work.  If this job intrigues you, b…