Solution Delivery Engineer
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), remote based in Slovenia, Netherlands or Austria. If located near an office, you are expected to work from that office 3 days per week.
Impact You’ll Own:
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.
What You Bring:
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.
What Makes You Stand Out:
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.
Application Deadline:
November 20, 2026 at 11:59p PT
Benefits While Working at Planet:
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
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
#LI-REMOTE
San Francisco Fair Chance Ordinance