AI Engineer, Marketing

parental leave, paid time off, tuition reimbursement 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 worldwide 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. Demonstrated ability to design and build complex operational systems from scratch that support marketing, sales, or revenue teams. Experience working in marketing technology platforms such as CRM systems (Salesforce), marketing automation tools (Marketo), and data enrichment platforms. Experience implementing artificial intelligence tools including generative AI, workflow orchestration tools, and AI‑powered analytics platforms. Experience improving marketing workflows through automation, process design, or technical system implementation. Ability to translate technical capabilities into practical marketing applications and automated engagement sequences that support business goals. Experience working cross‑functionally with marketing, operations, product, corporate engineering, and data teams. Strong analytical thinking and the ability to interpret market data and customer signals to evaluate the impact of marketing initiatives. Excellent communication skills and the ability to help teams adopt new tools and processes. Comfort operating in ambiguous, fast‑moving environments where systems and processes are being built for the first time. What Makes You Stand Out Experience applying AI to marketing functions such as campaign development, content production, experimentation, or personalization, reporting, analytics, and personalization. You've built AI systems that directly impacted revenue, growth, or operations (not just demos or prototypes). Familiarity with marketing AI tools such as generative content platforms, AI analytics tools, or AI‑native GTM enhancements. Experience building internal frameworks or playbooks for new technology adoption. Experience working in high‑growth technology companies or data‑driven marketing environments. Strong technical curiosity regarding how automation and AI can reshape traditional revenue workflows. Application Deadline July 14, 2026 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) 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 $128,400 — $160,500 USD US National Salary Range $112,900 — $141,100 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 View email address on click.appcast.io 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. AI in Our Interviewing Process Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real‑time. Opting out will not affect one's candidacy. Candidate AI Policy Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact View email address on click.appcast.io with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application. #J-18808-Ljbffr Planet Labs PBC