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About the Role
As a PreSales Engineer, you'll demonstrate the value of Planet's data and services to help organizations across EMEA, with a focus on UK Government and Commercial B2B, overcome their earth data challenges. You'll also collaborate with internal cross-functional teams to act as the voice of the customer and enhance Planet's industry offerings.
Responsibilities
- Use consultative techniques to uncover customers' pain points and business needs, and quantify their importance.
- Build and deliver presentations and solution demonstrations highlighting technical capabilities and value.
- Create solid relationships with customers’ technical and management staff as a trusted advisor.
- Shape and recommend tailored solutions architecture that solve key business challenges.
- Work with sales team colleagues to determine account development plans and execute engagement strategies.
- Collaborate with internal cross-functional teams to act as the voice of the customer and co-develop solutions.
- Assist with the response to tenders, RFI’s, RFP’s, and proposals.
- Attain quarterly and annual sales and operational objectives.
- Interface with Pre-Sales Engineers globally, building a community to improve technical and sales skills.
- Act as a mentor to team members and lead training to drive their development.
Requirements
- 4+ years experience in supporting governments and/or associated communities in earth observation.
- Professional working proficiency in English.
- Ability to translate technical and business related remote sensing and geospatial requirements into solutions.
- Expertise with QGIS, ArcGIS, GDAL and other common geospatial software packages.
- Ability to translate and articulate complex customer requirements into simple value-add solutions.
- Ability to successfully communicate and coordinate with international customers & sales teams.
- Excellent problem-solving skills and proactive working style.
- Ability to multitask, prioritize and manage time effectively.
- Ability to program with Python to process imagery, manipulate vector data, interact with APIs and build data pipelines.
- Ability to lead customer engagements.
- Ability to run workshops or training sessions with users.
- Ability to learn new technologies and industries.
Skills
- QGIS
- ArcGIS
- GDAL
- Python
Location
- Berlin
- Remote
Work Type
- Full-time
- Hybrid
Experience Level
- 4+ years
Education Level
- Bachelor’s degree in a relevant field
Salary/Compensations
- €50.470—€63.070 EUR
Benefits
- 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
About the Company
- Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering an unprecedented dataset of empirical information via a cloud-based platform.
- Customers use Planet's data to develop new technologies, drive revenue, power research, and solve tough obstacles.
- Planet controls every component of hardware design, manufacturing, data processing, and software engineering.
- The company has a people-centric approach toward culture and community, iterating in a way that puts team members first and prepares the company for growth.
- Planet is a global company with employees working remotely worldwide and joining from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
Equal Opportunity
- Planet is committed to building a community where everyone belongs and invites 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.
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.