Solutions Engineer

- 4 to 6 years in solutions engineering, presales, technical GTM, growth engineering, or a similar customer-facing technical role, with ownership from discovery through technical validation.

- Hands-on comfort with AI tools and models: you've designed prompts, built agents, run evaluations, tested failure modes, and tried new frameworks yourself, not just read about them.

- Real building ability: you can write scripts, transform data, work with APIs, debug integrations, and stand up a sandbox, prototype, or internal tool without waiting for an engineer.

- Fluency with system architecture and integration patterns, including REST APIs, webhooks, authentication, JSON payloads, and data flows across systems such as OMS, WMS, TMS, and POS.

- Experience designing and running technical demos, trials, or POCs with clear requirements, success criteria, and a path to a real customer decision.

- Strong technical discovery skills: you can work across stakeholders to uncover edge cases, dependencies, data gaps, and requirements customers may not articulate.

- Comfort operating in complex enterprise environments spanning multiple regions, channels, workflows, and integrations.

- Ability to turn technical complexity into clear architecture diagrams and explain tradeoffs to engineers, IT leaders, operators, and executives.

- Ownership instinct, strong product judgment, and comfort working through incomplete requirements and ambiguity.

Even better if you have: 2+ years in a sales engineering or growth engineering role; experience shipping AI-native product features or agents into production; experience in logistics, delivery, or supply chain.

- Competitive base salary + variable compensation (OTE aligned with top-quartile SaaS benchmarks).

✅ Early-stage, well-funded startup - directly impact the company and grow your career! ✅ Quarterly broader team on-sites to bond with teammates ✅ Competitive compensation and opportunity for equity ✅ Flexible paid time off ✅ Health, dental, and vision insurance