Forward Deployed Engineer

Responsibilities

• Run discovery sessions with freight brokers, carriers, and 3PL IT teams to nail down pain points, data sources, and success metrics
• Design end-to-end solutions - map data flows, select the right models, and create integration architectures that survive contact with legacy TMS/ERP systems
• Build & ship rapidly - write clean code (Python/TypeScript), stand up APIs, webhooks, and ETL pipelines that seamlessly connect Vooma agents to customer systems
• Iterate fast - release small, validate in production, tighten feedback loops, and eliminate ineffective features early
• Own testing and rollout - craft comprehensive test suites, run UAT with operations teams, squash edge-case bugs, and drive go-live success
• Coach customers - document workflows, train users, and create playbooks that ensure solutions stick after handoff
• Project-manage engagements - set realistic timelines, surface risks early, coordinate cross-functional stakeholders, and keep executives informed
• Act as technical first responder during the critical first 90 days in production - triage issues, patch integrations, and optimize models based on real traffic

Must Haves

• Full-stack builder mindset - comfortable moving between backend APIs and frontend interfaces
• Integration expertise - fluent in REST/GraphQL, webhooks, message queues, and authentication schemes (OAuth2, SAML, etc.)
• LLM/agent experience - hands-on with prompt engineering, vector search, and evaluation metrics; can translate business logic into agent workflows
• Customer empathy + communication skills - can seamlessly switch between C-suite strategy discussions and ops-floor technical details
• Rapid prototyping habit - bias for action, willing to hack, test, and refactor under tight deadlines
• Structured problem-solving - break complex logistics processes into modular components, spot edge cases early, and make data-driven decisions
• Ownership mentality - when you see blockers, you unblock them; no "not my job" mindset
• Thrives in ambiguity - comfortable with evolving specs, shifting requirements, and fast-paced startup environment
• Travel flexibility - willing to spend up to 25% of time on-site to de-risk deployments and build customer relationships

Nice-to-Haves

• Experience in logistics, supply chain, or transportation technology
• Familiarity with telephony APIs (Twilio, etc.)
• Data science background for model fine-tuning and optimization
• Previous experience in customer-facing technical roles

Compensation & Benefits

• Competitive compensation with significant equity upside potential
• Comprehensive benefits including medical, dental, and vision coverage