Jobs at Kpler

Manage strategic UK clients to drive adoption and value from Kpler's platform: onboard clients, deliver support via email/phone/in-person, run engagement campaigns, surface usage insights, collaborate with Sales for expansions and with Product/Engineering for product improvements, and maintain detailed records in Salesforce.

The Senior Fullstack Engineer will lead mobile feature development for the MarineTraffic and Kpler applications using Flutter and Node.js, ensuring high performance and adherence to Clean Architecture. Responsibilities include code reviews, mentoring, and improving backend services, while leveraging AI tools for enhanced software delivery.

Design, implement, and evaluate production ML models for ETA, destination, and product estimation using maritime AIS and geospatial features. Build dbt features orchestrated by Airflow, run structured experiments with the kpler-ml framework, log and compare runs in MLflow, monitor model drift, and collaborate with market analysts to prioritize improvements.

Drive revenue and adoption for Kpler's Chartering and Inbox products by generating and closing opportunities, delivering tailored demos and proofs of value, advising customers on chartering workflows, collaborating with Account Executives and Customer Success, and contributing market insights to product and go-to-market teams.

The Refineries Analyst will maintain data integrity and enhance refinery models, utilizing Linear Programming and collaborating with various teams to optimize data-driven refinery modeling and operations.

Sell Kpler's Insight and S&D subscriptions across EMEA by owning a book of business, driving the full sales cycle, exceeding revenue targets, building stakeholder relationships, collaborating with Product/Research/Marketing, managing pipeline and forecasts in Salesforce, and representing the company at industry events.

Lead a team of data analysts as the maritime SME for vessel and company datasets: ensure data accuracy, design and maintain ETL and ingestion pipelines, implement automation and validation using SQL and Python, integrate new data sources, create dashboards, manage KPIs/OKRs, and collaborate with Product, Engineering, Data, and Commercial teams to deliver high-quality maritime intelligence.

Adjudicate automated vessel detections humans cant resolve: identify dark/spoofed/low-confidence contacts, investigate AIS/GNSS manipulation and ownership, produce sourced identification records, and supply labeled ground truth to improve detection models.

Design, build, deploy and maintain secure, scalable identity and authentication solutions; act as technical authority; mentor engineers; own end-to-end development and deployment; ensure quality and compliance while collaborating with product, engineering, and enterprise clients.

Lead design, development, and operation of real-time and batch data pipelines and cloud infrastructure. Improve reliability, observability, and data architecture; own features end-to-end and mentor engineering teams while coordinating cross-team stakeholders.

Own and improve data quality, coverage, and methodologies for dirty petroleum products. Lead investigations, validation, ingestion, and backtesting. Coordinate with Product, Engineering, and Commercial teams, mentor junior analysts, and drive initiatives to enhance data granularity and accuracy across flows and geographies.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.