As one of our first solutions engineers, you’ll be the technical owner of a carrier going live: connecting their data, calibrating the system to their trade rules and embedding recommendations inside the tools their commercial teams already open.
This is a high-trust, customer-facing engineering role. You’ll define how Solvo deploys, and the playbook you build will be run by every engineer who follows.
What you’ll do
- Lead deployments from kickoff to go-live across instrument, calibrate and launch phases.
- Connect customer rate, capacity, booking and contract sources without data ever leaving their environment.
- Translate the rules in a trade manager’s head into guardrails and confidence thresholds.
- Run the daily standup and weekly impact readout that keep a deployment honest.
- Feed the field back into product — you’ll be the loudest voice on what to build next.
What we’re looking for
- 5+ years in solutions / forward-deployed / integration engineering, or backend engineering with heavy customer contact.
- Strong SQL and Python; comfortable wrangling messy enterprise data.
- Calm, credible and clear in front of senior commercial stakeholders.
- Willingness to travel to customer sites as needed.
Nice to have
- Logistics, freight or supply-chain domain knowledge.
- Early-stage / founding experience — you’re comfortable with ambiguity.
About Solvo
Solvo.ai builds the decision layer for revenue management in container logistics. Container shipping moves $14 trillion of goods a year, yet the pricing decisions that move it still run on spreadsheets, gut feel and lag. We sell repeatable commercial outcomes — measured in revenue per TEU, not dashboards opened.
We’re a global, technical team spread across Cambridge, London and Singapore, backed by Sequoia, Speedinvest and Frontline, and already live with top-tier carriers. You’ll work directly with the people who’ve sat in the trade room and the engineers building the system that learns from them.
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