AI Engineer, Marketing
Confirmed live in the last 24 hours
Planet Labs
Job Description
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:
The AI Engineer will help define, architect, and implement / project manage how artificial intelligence is applied across Planet's marketing organization to improve efficiency, scalability, and performance. This role will identify opportunities to integrate AI into marketing workflows, campaign development, and marketing operations, while helping build the technical infrastructure in tandem with the corporate engineering team that powers pipeline generation and customer acquisition.
This person will work cross-functionally with Growth Marketing, Marketing Operations, Revenue Operations, Product Marketing, Corporate Engineering, and Data teams to introduce AI-driven systems and automated agents that improve campaign velocity, marketing insights, and pipeline impact. The ideal candidate is a builder at heart who combines marketing and revenue operations knowledge with a technical mindset to help translate emerging AI capabilities and business needs into scalable GTM systems.
Impact You'll Own:
- Identify gaps, create strategy for, and implement AI across marketing workflows including campaign execution, content production, analytics, and marketing operations. From concept, through execution.
- Architect and build an AI-first GTM engine that identifies, engages, and converts high-value customer segments through automated lead research and qualification systems.
- Use AI to spearhead complex data analytics and build GTM data optimization layers to report on funnel performance and revenue attribution.
- Partner with Growth and regional marketing teams to apply AI to campaign planning, structured messaging experimentation loops, and audience targeting.
- Collaborate with Marketing Operations, RevOps, and Corporate Engineering to integrate new AI tools and automated outreach sequences into existing CRM and marketing automation platforms.
- Work with Corporate engineering to evaluate emerging AI technologies and vendors, selecting tools that build a robust GTM technology stack.
- Develop internal playbooks and frameworks for how marketing teams should use AI tools in their daily work.
- Support AI-driven experimentation including creative testing, automated messaging variations, and landing page drafts.
- Help train marketing teams on AI capabilities, best practices, and responsible use of AI technologies.
- Lead, monitor, and report on the impact of AI initiatives across campaign velocity, marketing efficiency, and pipeline generation.
- Work closely with cross-functional teams to ensure AI initiatives align with Planet's mission to make global change visible, accessible, and actionable.
What You Bring:
- 5+ years of experience in software engineering, data analytics, or automation engineer with at least 1 year building production-grade AI systems.
- Hands-on experience working with LLMs (OpenAI, Anthropic, open-source), including prompt design, evaluation, and iteration
- Experience building agentic workflows that take actions (not just generate text), including tool use, chaining, and structured outputs
- Demonst
