
Engineering Manager, Applied Analytics
Posted 22 hours ago

Posted 22 hours ago
This is a fully remote position, open to applicants in California.
• Lead, mentor, and develop a team of 3-5 software engineers and applied analytics developers.
• Stay actively involved in the design, development, and delivery of analytics products, encompassing architecture, prototyping, implementation, and code reviews.
• Establish the technical roadmap for the Applied Analytics team in collaboration with Product, Science, and Engineering leadership.
• Create analytics products and decision-support capabilities utilizing thermal infrared and various Earth observation datasets.
• Direct machine learning, statistical, and physics-informed solutions tailored to customer applications.
• Manage data processing pipelines that handle the ingestion, analysis, and productization of satellite observations.
• Convert operational requirements into scalable software solutions alongside product managers and customer stakeholders.
• Spearhead rapid prototyping and proof-of-concept demonstrations for both commercial and government clients.
• Assist in customer engagements, deliver technical presentations, and conduct field evaluations.
• Propel the development of geospatial APIs, customer-facing applications, and decision-support tools.
• Collaborate with Image Processing and Platform Engineering teams to enhance data quality and operational performance.
• Take ownership of project execution from conception through deployment, monitoring, and continuous enhancement.
• Establish and uphold engineering best practices and processes.
• Contribute to the recruitment, interviewing, and onboarding of engineering talent.
• Must be a US Citizen or Permanent Resident.
• 5+ years of professional experience in geospatial software engineering or data science, including the development of production data products or analytics.
• At least 2 years of experience in engineering leadership, technical lead roles, or people management.
• Proven experience in managing and mentoring software engineers while maintaining a hands-on technical role.
• Strong proficiency in Python and experience in building scalable cloud-native software systems.
• In-depth knowledge of geospatial data, remote sensing products, satellite imagery, and Earth observation analytics.
• Experience in designing and operating data pipelines, analytics platforms, APIs, and customer-facing software products.
• Demonstrated experience in developing and deploying machine learning, statistical, or analytical models in production settings.
• Familiarity with AWS, Docker, and modern cloud-native software development practices.
• Experience collaborating with product managers, scientists, and external stakeholders to define and deliver technical solutions.
• Excellent communication skills with the ability to convey technical concepts to both technical and non-technical audiences.
• Ability to excel in a fast-paced startup environment while balancing technical leadership and execution.
• U.S. Person eligibility under ITAR requirements, which includes U.S. citizenship or lawful permanent residency, protected individual status, or necessary authorizations.
• Employee options
• Health insurance: Medical, Vision, Dental
• Flexible time off
• Maternity, Paternity & Parental Leave
• 401K Matching
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