Forward Deployed Engineer

🔥 1 hour ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

👷🏻‍♀️ Engineer

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

💰 $33M Venture Round on 2000-05

Logistics • SaaS • Supply Chain Management

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Own customer solutions end-to-end • Rapidly prototype, iterate, and deploy solutions in live operational environments where the stakes are real and the timeline is short • Deliver relentless customer value • Build trusted relationships from the IC level to the executive sponsor and become the technical face of our company in the room • Run multiple threads • Carry several customer engagements in parallel based on customer priorities and pod capacity • Set expectations early, renegotiate honestly when reality shifts, operate without close supervision, and own the outcome • Operate as a SEAL team • Make the product better • Partner with Product and Engineering to convert field learnings into durable platform capabilities not one-off scripts • Drive adoption and lead the change • Mentor customer operators and guide their teams through solution transitions, so the new way of working actually sticks

🎯 Requirements

• AI & Agentic Development • Hands-on experience building LLM-based applications, RAG systems, multi-agent workflows, tool-use patterns, prompt and context engineering • Familiarity with modern AI-assisted development tools (Copilot, Claude Code, agentic IDE workflows) • Understanding of agentic orchestration patterns when to use single vs. multi-agent architectures, how to handle memory and state • Solid, hands-on software engineering fundamentals: you have built and shipped real systems, not just scripts • Proficiency in at least one backend language (Python strongly preferred) and the ability to read and contribute across a polyglot codebase • Experience with REST and streaming APIs, authentication patterns, and integration with enterprise systems • Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents • Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals • Strong debugging instincts with imperfect, real-world data in production environments • Prior exposure to supply chain planning, logistics, or operations domains is a genuine plus not a requirement • 2 – 5 years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role • Prior exposure to customer-facing technical roles solutions engineering, forward deployment, technical consulting, or a startup where you wore multiple hats is a strong signal, though not a requirement

🏖️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off) • Flexible work options • Physical and mental well-being programs • Regularly scheduled virtual fitness classes • Mentorship programs, training, and career development • Recognition programs and referral rewards • Hackathons