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About the Role

This role is responsible for knowledge management and AI Agent management, focusing on acquiring, organizing, sharing, and maintaining Planet’s knowledge base. It involves integrating this knowledge with AI Agents to ensure accurate recommendations and identifying content gaps. The position requires building relationships with customer engineering, product management, and education teams to ensure information accessibility and support the AI Agent strategy for customer success.

Responsibilities

Knowledge acquisition, organization, and Knowledge Base management.
Knowledge Management Strategy and Implementation.
AI Agent management including monitoring, review, and optimization of agent responses to identify and correct issues with accuracy and relevance of recommendations.
AI Customer and User Engagement.
Design, scope and create custom AI Agents.
Ethical KM/AI Practices.
Translate complex information into clear, concise language for diverse audiences.
Data Management and Governance.
Build solid relationships with partner teams including engineering, Customer Success, sales, and product management.

Requirements

4+ years of knowledge management and technical writing experience.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent.
Solid understanding of AI, machine learning, and natural language processing (NLP).
Experience creating/using AI Agents and familiarity with AI agent architectures.
Familiarity with scripting languages (JavaScript, Python, Perl) and GIS applications (ESRI, QGIS).
Experience with geo-spatial data, satellite imagery, and remote sensing.
Experience with Zendesk, JIRA, or comparable ticketing systems.
Excellent communication and interpersonal skills with the ability to clearly articulate technical solutions.
Ability to translate AI capabilities into tangible business value and analyze outputs.

Skills

Knowledge management
Technical writing
AI
Machine learning
Natural language processing (NLP)
AI Agents
Scripting languages (JavaScript, Python, Perl)
GIS applications (ESRI, QGIS)
Geo-spatial data
Satellite imagery
Remote sensing
Zendesk
JIRA
Communication
Interpersonal skills
Problem-solving

Location

Berlin
Haarlem
Remote

Work Type

Full-time
Hybrid

Experience Level

4+ years

Education Level

Bachelor's degree in Computer Science, Computer Engineering, or equivalent

Benefits

Paid time off including vacation, holidays and company-wide days off
Employee Wellness Program
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Volunteering Paid Time Off

About the Company

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.
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.

Equal Opportunity

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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.