Jobs at Kpler

Positions 296

Kpler is a data intelligence company that transforms the commodities market by delivering real‑time analytics on oil, gas, shipping, and renewables. Their platform aggregates satellite imagery, AIS data, and market feeds to provide predictive insights used by traders, fleet operators, and regulators.

Kpler’s hiring spans software engineering, data science, product management, sales, and customer success. Engineers work on scalable streaming pipelines in Python and Go, while data scientists build machine‑learning models on terabytes of geospatial data. Non‑tech hires focus on market analysis, client onboarding, and marketing content.

Job Transparency shows Kpler’s current openings with exact salary ranges, bonus structures, and employee sentiment scores derived from anonymous reviews. This transparency lets candidates compare offers, assess company culture, and negotiate confidently.

No open positions at Kpler right now.

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Frequently Asked Questions

What is it like to work at Kpler?
Employees at Kpler experience a fast‑paced, data‑centric environment where cross‑functional collaboration is key. The company values continuous learning, offering access to industry conferences, internal hackathons, and a flexible remote‑first policy. Culture surveys report high satisfaction with leadership transparency and impact‑driven projects.
What types of positions are available at Kpler?
Kpler hires across a spectrum of disciplines: software engineers (backend, frontend, data streaming), data scientists and ML engineers, product managers, UI/UX designers, solutions architects, sales engineers, marketing strategists, and client success managers. The 254 open roles cover junior to senior levels in both technical and non‑technical tracks.
How can I stand out as an applicant for Kpler?
Showcase a track record of solving complex data problems, ideally with experience in Python, SQL, or cloud data pipelines. Highlight any maritime or commodity‑market domain knowledge, and include contributions to open‑source or public data projects. In your application, reference specific Kpler products (e.g., Kpler Insight or Kpler Atlas) and explain how your skills align with their mission to democratize commodity data.

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