Forward Deployed Engineer

Role Description

Kinaxis is building a Forward Deployed Engineers team whose singular mission is to help customers transform how work gets done in the Agentic Age. This is not a consulting role and it is not a features team. It is a multi-disciplined deployment unit operating with the speed and ownership culture of a startup.

• 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.
• Operate as a SEAL team. A small, tight, multi-disciplinary unit with focus and urgency.
• Make the product better. Partner with Product and Engineering to convert field learnings into durable platform capabilities.
• Drive adoption and lead the change. Mentor customer operators and guide their teams through solution transitions.

Qualifications

• 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) as daily practice.
• 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.
• Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar).
• 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.
• 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.

Requirements

• You measure your own success in business outcomes — efficiency gains, exception reduction, SLA improvements.
• You bring field learnings back into the platform, helping abstract what works into durable, scalable capabilities.
• You operate with high agency: you unblock yourself, adapt when conditions change, and take ownership end-to-end.
• You are curious and pragmatic — you explore new tools and apply them where they create real value.
• You communicate clearly across engineering, product, and business stakeholders.
• You move on what matters. You finish what you start. The outcome is yours.
• You identify what matters, secure the help or learning you need, and deliver.
• You can sit with a frustrated VP, a skeptical architect, or a junior analyst — and leave each one feeling heard, helped, and impressed.
• Undefined problem, undefined scope, undefined success metric — and you still ship.
• You guide customers through transitions and mentor their teams to adopt new ways of working.

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.