Forward Deployment Engineer

Ovii's Interpretation of the Role

The Forward Deployment Engineer bridges product teams and enterprise clients, designing, building, and deploying AI‑driven SaaS integrations. You will craft automation workflows, troubleshoot integrations, and ensure customers achieve measurable outcomes.

Role Snapshot

• Bridge product and enterprise clients
• Design and deploy SaaS integrations
• Build automation workflows with APIs and low‑code tools
• Troubleshoot and iterate on integration issues
• Advocate for customer success post‑deployment
• Feed deployment insights back to product teams

Must-Have Requirements

• Python, Java, or Go programming
• REST/SOAP APIs, webhooks, OAuth authentication
• Workflow automation platforms (low‑code)
• CI/CD pipelines
• SQL
• BI tools (Looker, Tableau, Superset)
• shipping production integrations
• customer‑facing technical work
• Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience

Nice-to-Have Signals

• LLM/agentic frameworks (LangChain, LangGraph, CrewAI)
• RAG pipelines, prompt/eval design, AI observability
• On‑site client implementation experience
• Consulting or early‑stage startup background
• MBA
• LLM/agentic framework work
• on‑site implementation
• consulting or startup environment

Work Setup

• Location: Mexico, Mexico
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: Mexico
• Timezone: U.S. CST shift (8:00 AM – 5:00 PM CST)
• Employment type: Full-Time
• Shift: U.S. CST shift (8:00 AM – 5:00 PM CST)

Eligibility Gates

• Work authorization: Must be authorized to work in Mexico
• Visa sponsorship: no

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Notice period
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Run discovery workshops to capture client workflows and pain points
• Translate business requirements into technical automation and integration designs
• Configure, test, and deploy solutions on cloud SaaS platforms
• Develop custom automations using APIs, scripts, or low‑code environments
• Diagnose integration failures, resolve blockers, and iterate based on feedback
• Act as the technical advocate during onboarding and ongoing customer success
• Provide deployment learnings to product and engineering for roadmap shaping

Good Fit If You Have

• Hands‑on experience with LLM/agentic frameworks
• Prior on‑site implementation work with enterprise clients
• Background in consulting or early‑stage startups
• MBA (preferred) for business‑tech alignment