Director of Software Engineering, Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid in Denver, CO or Washington, DC; requires working from the selected office 3 days per week. US person status and the ability to obtain and hold a US government security clearance are required.
Salary: $180,700–$225,900 USD annual base salary, with potential bonus and equity incentives.
Company
designs, builds, and operates a constellation of imaging satellites and a cloud-based platform that delivers satellite data and analytics for commercial, environmental, humanitarian, defense, and government customers.
What you will do
- Lead, staff, and scale the engineering organization responsible for analytics models and pipelines built from daily satellite imagery.
- Develop talent strategy, staffing plans, recruiting processes, performance management, and organizational depth.
- Translate program commitments into dated deliverables and manage analytics interfaces with Global Monitoring Service and Maritime Domain Awareness application teams.
- Define the operating model for analytics serving classified and unclassified environments while keeping models dual-use.
- Guide the transition from hand-built detectors and task-specific models to foundation-model-based methods and scale monitoring from hundreds to thousands of sites.
- Plan pipeline cost and capacity for a ten-times scale-up while reporting to the VP of Technology.
Requirements
- 8+ years of experience in software or machine learning engineering, focused on computer vision, geospatial analytics, or high-scale data systems.
- 6+ years leading engineering teams, including direct management of engineering managers and organizational scaling.
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field, or equivalent practical experience.
- Production experience shipping machine learning, computer vision, or geospatial analytics and owning the results.
- Experience with ITAR and EAR requirements and with cleared and uncleared staff on the same team.
- US person status and an active US government security clearance, or eligibility to obtain one upon hire, are required; TS/SCI is preferred.
Nice to have
- Master’s degree or Ph.D. in Computer Science, Machine Learning, Remote Sensing, or a related discipline.
- Experience moving computer vision teams from task-specific models to foundation models or embeddings.
- Experience delivering analytics into classified, air-gapped, or sovereign cloud environments such as AWS GovCloud or C2S.
- Experience integrating acquired teams or merging engineering groups.
- Knowledge of Synthetic Aperture Radar, maritime analytics, or activity-based intelligence.
Culture & Benefits
- Medical, dental, and vision plans with an HSA and company contribution.
- Generous paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
- Wellness and employee assistance programs.
- Home office, phone, internet, commuter, and tuition reimbursement benefits, plus LinkedIn Learning access.
- Equity and paid volunteering time off.
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