Description :

Role : Customer Engineer Analytics.

Employment Type : Full Time.

Educational Qualification : Bachelors or Masters degree in Geospatial Science, Remote Sensing, Environmental Science, Engineering, Computer Science, or a related technical field.

Work Experience : 3 to 6 years of experience in geospatial analytics, applied remote sensing, or technical delivery roles.

Role Description :

We are seeking a Customer Engineer to join Pixxels Analytics organization.

This role sits at the intersection of advanced geospatial analytics, hyperspectral science, and customer-facing delivery.

The Customer Engineer will work closely with the Analytics, Product, Platform, and Commercial teams to translate Pixxels technical capabilities into clear, credible, and repeatable solutions for customers and government stakeholders.

Unlike commercial Solutions Engineers, this role is deeply technical and embedded within the Analytics function.

The Customer Engineer focuses on feasibility studies, pilot design, technical demonstrations, and analytics delivery, ensuring that customer engagements are scientifically sound, scalable, and aligned with Pixxels long-term product roadmap.

As a key contributor to Pixxels analytics execution, you will :

- Bridge advanced hyperspectral analytics and real-world customer use cases.

- Support high-impact pilots, proofs-of-concept, and government programs.

- Enable faster, more consistent client-facing delivery without disrupting core R&D.

Responsibilities & Duties :

Customer-Facing Technical Delivery :

- Lead technical execution of customer pilots, feasibility studies, and proof-of-concept engagements across agriculture, water, minerals, and environmental monitoring domains.

Analytics Translation & Demonstration :

- Translate complex analytical outputs (e.g., hyperspectral models, spatial products, uncertainty metrics) into clear, defensible narratives for customers, government agencies, and internal stakeholders.

Pre-Sales & Proposal Support :

- Support proposal development, technical write-ups, exhibits, and presentations for commercial and government opportunities, ensuring technical accuracy and feasibility.

Data & Workflow Execution :

- Run analytics workflows using Pixxel data and internal tools, including data preparation, model execution, visualization, and QA of outputs prior to client delivery.

Cross-Functional Collaboration :

- Work closely with Analytics R&D, Product, Platform, and Image Processing teams to communicate customer requirements, data limitations, and deployment considerations.

Standardization & Reuse :

- Contribute to building reusable analytics templates, demo assets, and documentation to reduce ad-hoc work and improve consistency across engagements.

Field & Program Support (as needed) :

- Support field campaigns, validation efforts, or on-site engagements with partners and government agencies when required.

Desirable Skills & Certifications :

Technical & Domain Expertise :

- Strong background in geospatial analytics, remote sensing, or Earth observation data processing.

- Experience working with satellite imagery (optical, hyperspectral, SAR, or multispectral).

- Familiarity with Python-based geospatial and data science tools (e.g., NumPy, Pandas, Rasterio, GDAL, Xarray).

- Understanding of analytics workflows, model validation, and spatial data quality considerations.

Communication & Collaboration :

- Ability to clearly communicate technical concepts and analytical results to non-technical audiences.

- Comfort working directly with customers, government stakeholders, and internal leadership.

- Strong written communication skills for technical notes, proposals, and reports.

Execution Mindset :

- Highly organized, reliable, and able to manage multiple parallel engagements.

- Comfortable operating in fast-paced, ambiguous environments.

- Strong ownership mindset with attention to detail and delivery quality.

Preferred Experience :

- Prior experience in customer-facing technical roles (e.g., analytics delivery, technical consulting, applied research).

- Exposure to agriculture, soil, water quality, minerals, or environmental monitoring applications.

- Familiarity with cloud-based data workflows or analytics platforms.

- Experience supporting government or large enterprise engagements.

Candidate Acumen :

- Excellent analytical, communication, and time-management skills.

- Ability to work independently and handle multiple priorities in a fast-paced environment.

- High level of attention to detail.

Benefits :

- Health insurance coverage.

- Unlimited leaves & flexible working hours.

- Role-based remote work and work-from-home benefit.

- Relocation assistance.

- Professional Mental Wellness services.

- Creche facility for primary caregivers (limited to India).

- Employee Stock Options for all hires.