Welcome to Planet. 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. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We're looking for an Applied AI Engineer to join the Corporate Engineering team and help build the future of Planet digital employee experience. In this role, you'll focus on leveraging AI to dramatically improve how our employees work. You will be at the forefront of designing, developing, and deploying AI-powered solutions that enhance productivity, streamline business workflows, and automate complex internal processes across the entire organization. This is a hands-on technical role where you will work with various teams to identify key opportunities for AI integration, from optimizing data retrieval and analysis to building custom AI agents that assist employees with their daily tasks. You'll be a key player in transforming our internal operations through innovative technology. 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:
- Lead the AI for internal productivity roadmap by helping identify and implement AI solutions that improve efficiency and reduce friction for our employees.
- Partner with business stakeholders, product managers, and teams to understand requirements and translate them into technical specifications. Act as a subject matter expert on applied AI and its potential applications.
- Design, build, and deploy AI solutions and applications that address specific internal business needs, particularly enterprise productivity. Focus areas include natural language processing (NLP), semantic search, intelligent automation for key enterprise processes, and custom chatbot development.
- Work with our existing Enterprise Systems (e.g., Google Workspace, Gemini App, Notebook LM, Google Cloud Platform, Vertex AI, Salesforce, Jira, Confluence) to seamlessly integrate AI capabilities.
- Manage APIs and data connectors to ensure smooth operation.
- Build metric dashboards to track key performance indicators (KPIs) and measure the impact, adoption, and value of deployed AI agents and solutions.
- Collaborate with Security and Compliance teams to Implement best practices for data privacy, model accuracy , and security in all AI solutions.
What You Bring:
- 10+ years of experience in a solution engineering/architecture or technical product management role, with a focus on digital employee experience and intelligent automation.
- Bachelors degree in Computer Science, engineering or related field
- Hands-on experience with Gen AI tools like Gemini App, Vertex AI or similar tech.
- Familiarity with large language models (LLMs) and related technologies (e.g., vector databases, RAG architectures, prompt engineering).
- Solid understanding of system architecture and API's.
- Expertise in using tools like Looker, Power BI or similar to create clear and compelling dashboards.
- Ability to identify business challenges and translate them into effective, scalable AI solutions.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
What Makes You Stand Out:
- Experience implementing Agentic AI platforms such as Glean, Moveworks, Vertex AI, Agent Force, or Agent Space.
- Proficiency in a programming language such as Python.
- Experience with cloud platforms (AWS, GCP).
Application Deadline:December 15, 11:59PM PST 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
$182,900
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$228,600 USD Why we care so much about Belonging.
We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. |
Planet Labs PBC
parental leave, paid time off, tuition reimbursement
Oct 07, 2025