Solution Delivery Engineer

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.

The team you will be joining develops, maintains, and upgrades the suite of Area-Monitoring Markers that extract insights from satellite data time series — the central element of the Area Monitoring System (AMS) solution delivered to Common Agricultural Policy paying agencies across Europe.

We are looking for a Solution Delivery Engineer to support the operational execution of our large-scale AMS deliveries in several EU countries. In this role you will be responsible for running and overseeing complex geospatial processing pipelines — from preparing Planet and other satellite data and integrating reference data, through configuring and maintaining signal processing, to fine-tuning marker services.

This is a hands-on operational role with direct contractual impact: you will own delivery timelines, sometimes negotiating them directly with the client, and you will continuously look for opportunities to simplify, automate, and optimize the workflows that make these deliveries possible.

This is a full-time temporary (12 months), hybrid role which will require you to work from our Ljubljana, Haarlem, or Graz office 3 days per week.

• Execute and oversee end-to-end geospatial processing pipelines for AMS deliveries across several EU countries.
• Prepare Planet daily data for entire national/regional territories and maintain integration of AMS with reference field geometries.
• Configure, maintain, and monitor signal processing services across all declared fields.
• Configure, fine-tune, and operate marker services (like harvest, homogeneity, ploughing, mowing, crop classification, etc).
• Own delivery deadlines for contracted outputs — track progress, anticipate blockers, and align timelines directly with the client where needed.
• Identify and implement workflow optimizations, automations, and reusable components that reduce AMS-CAP delivery effort across the team.
• Collaborate daily with the data scientists and developers in the base team, and across dependent teams to keep deliveries on track.
• Collect feedback from clients and partners, translate it into actionable improvements, and help resolve issues that come up during delivery.

• 4+ years of relevant work experience.
• Working knowledge of the GIS domain — comfortable reasoning about geospatial data, projections, raster/vector workflows, and satellite imagery.
• Operational mindset: comfortable executing, monitoring, and troubleshooting complex multi-step pipelines, with attention to detail and a sense of ownership over outcomes.
• Awareness of and respect for delivery deadlines, with the ability to communicate timelines and trade-offs clearly to both internal teams and external clients.
• Curiosity about how processes work end-to-end, and a habit of looking for ways to simplify, automate, or optimize them.
• Highly technical mindset — comfortable picking up new tools, reading logs, and reasoning about data flows across services.
• Cross-functional collaboration skills — able to work effectively with data scientists, developers, and client stakeholders.
• Ability to communicate in English, the working language of the company.

• Experience with Python programming, particularly for data processing or geospatial workflows.
• Familiarity with the agricultural domain or the EU Common Agricultural Policy (CAP) and area-based payment schemes.
• Experience with Earth Observation data (Planet, Sentinel-2, Sentinel-1) and time-series analysis.
• Familiarity with cloud-based data processing, workflow orchestration, or pipeline tooling.
• Prior experience interacting with clients on technical delivery topics.

November 20, 2026 at 11:59p PT

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.

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 accommodations@planet.com 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.