Forward Deployed Engineer

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest‑ever logistics Series A ($35M), led by deep‑tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture‑backed startups. We’re assembling the most talent‑dense team the logistics industry has ever seen

Relay’s Mission is to free commerce from friction
. Today, high delivery costs act as a hidden tax on e‑commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people
, making the online shopping experience seamless and accessible to everyone.

• ~110 people
, more than half in engineering, product and data
• 45+ advanced degrees across computer science, mathematics and operations research
• Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle

• An intellectually vibrant culture of first‑principles thinking
, tight feedback loops and relentless experimentation

Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise‑scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large‑scale ML‑based inference  Relay, Diego’s infectious enthusiasm and hands‑on leadership are redefining the boundaries of speed and reliability.

• Python, Rust and Type Script – we keep things simple but use the right tool for the job

• Cross‑platform Flutter apps with a deep focus on user experience

• Cloud‑native on GCP with extensive use of Big Query and Cloud Run

• Extensive use of ML modelling and LLM inference – no gimmicks here, this is our daily routine

• Emerging tech integrations, including robotics and IoT‑powered operations

• Embed with enterprise clients during onboarding to deliver end‑to‑end technical success
  : integration, data quality, metrics alignment, and operational readiness.

• Partner closely with AMs, and external clients to define and implement a delivery performance metrics spec
  , and build client‑specific dashboards that track these metrics in real time for both the client & Relay

• Improve and extend Relay’s client integrations (APIs/webhooks/data feeds), increasing reliability, reducing exceptions, and lowering cost per shipment
  .

• Build tooling for integration observability (dashboards, alerting, reconciliation, replay) and drive measurable reductions in integration‑related incidents.

• Stand up forecast ingestion and validation workflows to improve network planning accuracy and service levels.

• Feed repeatable learnings back into Relay’s platform (templates, SDK patterns, metric contracts, connector blueprints) to scale onboarding and reduce bespoke work.

• Client metric alignment achieved with signed‑off definitions and automated reconciliation.

• Material reduction in AM/Ops time spent on reporting disputes and manual data work.

• Improved integration uptime, lower error rates, faster issue resolution (clear SLOs).

• Forecast accuracy and timeliness improves; operational planning volatility decreases.

• New client onboarding time and marginal integration cost goes down quarter over quarter.

• Strong software fundamentals (APIs, distributed systems basics, data pipelines).

• Customer‑facing maturity: you can run a room with technical + business stakeholders.

• Bias to shipping: you turn ambiguity into production outcomes quickly.

• Comfort in chaotic reality: inconsistent data, changing requirements, operational pressure.

• Generous equity, richer than 99% of European startups
  , with annual top‑ups to share Relay’s success.

• Private health & dental coverage
  , so comprehensive you’d need to be a partner at a Magic Circle…