Software Engineer

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.

About the Role

At Planet Labs, we deliver daily global satellite imagery and geospatial insights that empower businesses, governments, and researchers worldwide. The Corporate Engineering team is building a world-class center of excellence driving AI strategy, enablement, adoption, and business partnership across the Planet organization. We are scaling AI capabilities to transform internal workflows, enhance engineering velocity, and create groundbreaking software experiences.

We are seeking an experienced Software Engineer – Enterprise AI to lead the hands-on deployment of enterprise-grade AI applications, custom agentic workflows, and foundational AI infrastructure (AI Gateway & Agent Registry) while ensuring strict alignment with regulatory compliance standards. This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Responsibilities

• Design, build, and maintain production-ready Enterprise AI applications and internal tools leveraging Gemini Enterprise Agent Platform, Cursor, and Claude.
• Partner to build end-to-end intelligent agent experiences, and automate complex business workflows in partnership with internal business units.
• Support the evaluation, customization, and integration of platforms like Google Gemini Enterprise App.
• Maintain a centralized AI Gateway to manage LLM API routing, rate limiting, cost controls, and model selection across all internal teams.
• Integrate an AI Agent Registry to catalogue, govern, and monitor agents across the company.
• Implement robust logging, monitoring, and alerting frameworks to ensure all AI touchpoints are accurately tracked and managed.
• Manage specific AI data pipelines and infrastructure to adhere to ITAR and EAR standards.
• Collaborate with Security and Legal teams to institute strict data access controls, secret management, and compliance checks for all AI integrations and development.
• Promote industry best practices for AI engineering.
• Evangelize AI tools and capabilities across non-technical and technical business units to accelerate enterprise adoption and productivity.

Requirements

• 6+ years of software engineering experience
• Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Hands-on experience developing and deploying applications using GCP and AWS ecosystem
• Learning mindset with the ability to adapt to constant change
• Experience working in regulated engineering environments requiring strict compliance standards (ITAR, EAR, or FedRAMP)
• Expertise in GCP and AWS
• Experience with AI Gateways, Agent Registries, and AI orchestration platforms
• Expertise with Python, Vector Databases, and SQL

Skills

What Makes You Stand Out

• Prior experience with Gemini Enterprise App and Claude Code / Cowork is a huge plus

Benefits

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

Pay

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.

• San Francisco Salary Range: $144,500—$180,600 USD

Schedule

This is a hybrid role which will require you to work from our San Francisco office 3 days per week.