1 день назад
Senior Engineering Manager - AI Geospatial Assistant Team (AI)
182 900 - 228 600$
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Описание вакансии
Текст:
TL;DR
Senior Engineering Manager - AI Geospatial Assistant Team (AI): Leading the transition of geospatial AI research capabilities into a market-ready assistant for natural-language exploration of satellite imagery, with an accent on engineering operations, evaluation-led development, and customer-focused product delivery. Focus on building and mentoring a founding engineering squad, translating research into production systems, managing non-deterministic AI workflows, and de-risking the roadmap for forensics and change-detection use cases.
Location: San Francisco, CA; hybrid work with 3 days per week in the San Francisco office
Salary: $182,900–$228,600 USD annual base salary, plus potential bonus and equity incentives
Company
designs, builds, and operates a constellation of imaging satellites and a cloud-based platform that provides global Earth-imaging data for commercial, environmental, and humanitarian applications.
What you will do
- Lead a high-velocity engineering team building an AI Geospatial Assistant for natural-language exploration of satellite imagery.
- Hire the founding squad, design onboarding, and establish a culture of ownership, accountability, mentorship, and psychological safety.
- Design team operating practices, including sprint cadences, RFC processes, automated testing, and evaluation-led development.
- Collaborate with AI researchers to turn research prototypes and models into dependable, production-ready systems.
- Partner with Product and Design on technical roadmaps, scope management, graduation criteria, and early risk identification.
- Focus engineering delivery on forensics and daily change-detection use cases for researchers, journalists, governments, and NGOs.
Requirements
- 6+ years of relevant experience, including 4+ years leading software engineering teams.
- Bachelor’s degree in a relevant field.
- Experience hiring and leading founding engineering teams in a startup or high-growth environment.
- Hands-on, AI-native experience writing production code with AI tools and shaping AI-assisted engineering workflows.
- Experience leading AI engineering teams in elevating research prototypes into production-grade applications.
- Strong technical breadth across AI research, frontend engineering, architecture, team operations, conflict management, and pragmatic execution.
Nice to have
- Experience with LLM observability and monitoring tools such as LangSmith, Arize, or similar platforms.
- Experience with geospatial data, satellite imagery, or ary-scale analytics.
- Public leadership experience with executive and external stakeholder communication.
- A product-first approach balancing technical excellence with market delivery.
Culture & Benefits
- People-centric culture focused on belonging, inclusion, and humanitarian impact.
- Medical, dental, and vision plans, plus a company-contributed HSA.
- 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, tuition, and learning benefits, plus equity and paid volunteering time.
- AI tools may be used for interview preparation, but are prohibited during live interviews and assessments unless explicitly permitted.
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