Software Engineer
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.
Impact You’ll Own:
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.
What You Bring:
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
What Makes You Stand Out:
Prior experience with Gemini Enterprise App and Claude Code / Cowork is a huge plus
Application Deadline:
Novmber 5, 2026 at 11:29pm PT
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.
San Francisco Salary Range
$144,500—$180,600 USD
San Francisco Fair Chance Ordinance