Applied AI Engineer, Digital Employee Experience at Planet

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Data & Analytics, SoftwareIndustries

Requirements

10+ years of experience in a solution engineering/architecture or technical product management role, with a focus on digital employee experience and intelligent automation
Bachelor's 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 APIs
Expertise in using tools like Looker, Power BI or similar to create clear and compelling dashboards

Responsibilities

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 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

Skills

Machine Learning

Data Analysis

Software Engineering

Problem-Solving

Communication

Planet

High-resolution satellite imagery subscription service

About Planet

Planet captures high-resolution satellite images of the Earth using a fleet of small satellites called Doves. These satellites provide near-daily, detailed imagery across eight different bands, allowing clients to monitor environmental changes, manage resources, plan urban developments, and respond to disasters. The company operates on a subscription-based model, giving clients access to a vast library of images and data analytics tools. This approach ensures consistent revenue as clients require ongoing updates. Planet differentiates itself by offering customized solutions and educational resources through Planet School, helping users effectively utilize their platform. The goal of Planet is to be a leader in the geospatial intelligence market, providing valuable insights through frequent and detailed Earth observation.

San Francisco, CaliforniaHeadquarters

2010Year Founded

$617.1MTotal Funding

IPOCompany Stage

Data & Analytics, AerospaceIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

Remote Work Options

Wellness Program

Mental Health Support

Home Office Stipend

Phone/Internet Stipend

Tuition Reimbursement

Equity

Commuter Benefits

Volunteering Paid Time Off

Parental Leave

Risks

Increased competition from companies like Antaris threatens market share.

Recent layoffs may impact operational efficiency and innovation.

Expansion of partnerships may stretch resources, reducing service quality.

Differentiation

Planet operates the largest fleet of Earth-imaging satellites globally.

Their subscription model ensures continuous revenue from diverse sectors.

Planet's AI-driven analytics enhance satellite imagery insights significantly.

Upsides

AI-driven analytics can expand into agriculture and urban planning sectors.

Partnerships with platforms like UP42 enhance data offerings and capabilities.

Smart city management using satellite data offers new revenue streams.

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