Jobs at Relay Technologies

Own Relay’s geospatial and movement datasets supporting its delivery network. Define data quality measures, evolve location datasets, set the technical roadmap, and partner with engineering to productionize solutions. Build observable pipelines, reusable data products, and business metrics while mentoring data scientists. The role requires deep geospatial, telemetry, or GPS trace-processing experience and end-to-end ownership of production data products.

As a Senior Software Engineer at Relay, you will tackle challenging problems, collaborate with talented teams, and have a direct impact on the company's growth through software development and optimization tools.

Leads an engineering team while remaining technically engaged through code reviews, pairing, and high-impact contributions. Sets direction, converts ambiguity into delivery plans, and partners with Product, Design, and Operations. Improves code quality, observability, incident response, analytics, and developer velocity. Owns hiring, coaching, feedback, performance management, and team growth in a fast-paced startup environment.

Lead courier acquisition strategy to grow Relay's courier fleet by expanding into new markets, optimizing CPA and conversion rates, running A/B tests and landing page experiments, integrating paid and unpaid channels, and automating scalable marketing processes.

The Senior Data Analyst will enhance courier performance management and optimize handovers by modeling trade-offs, running experiments, and improving data analytics.

As a Senior Data Scientist, you will build and maintain production models for pricing decisions, define pricing dynamics, and measure strategy impact within a collaborative team.

As Lead Data Analyst, you will monitor and ensure the accuracy of forecasting models, diagnose forecasting errors, and communicate findings to stakeholders for operational improvement.

Own end-to-end productionisation of ML models, build and mature the ML platform and serving architecture, integrate system testing and monitoring into training pipelines, automate releases and drift detection, and measure real-world impact alongside data scientists.

Design, build, and productionise large-scale optimisation models and bespoke solvers for last-mile scheduling, assignment and pricing. Translate operational requirements into mathematical programming and heuristic solutions, benchmark and monitor performance, and work cross-functionally with engineering and analytics to deploy and evolve automated decision systems.

Manage client network performance by improving operational metrics across strategic accounts. Develop improvement plans, track progress, and communicate updates to clients.

The Senior Data Analyst will own analytics for finance, create dashboards, ensure data quality, and communicate insights to support decision-making.

As a Senior Analytics Engineer, you'll design core data models, build AI system foundations, and ensure data quality while collaborating across teams.

Embed in the Pitstop squad to build monitoring and analytics for launch readiness, handover speed/accuracy, retention, and cost-per-parcel. Investigate performance, quantify initiative impact, diagnose churn and LiveOps ticket drivers, maintain dbt models and pipelines, and deliver KPIs and dashboards to guide squad decisions.