[Hiring] Solutions Engineer @DigitalGenius

Role Description

A Solutions Engineer at DigitalGenius works in post-sales, partnering closely with Product and Customer Success Managers (CSMs) to design, implement, and optimize AI-driven customer service solutions for our clients. You are the technical owner of customer implementations, ensuring every solution is scalable, secure, high-performance, and aligned with both business goals and our platform's capabilities.

You'll spend your time turning messy real-world e-commerce problems into reliable AI-powered automations — designing flows, wiring up integrations, writing Python where the platform stops, prompting and evaluating LLMs, and continuously raising the bar on what our AI agents can resolve autonomously.

Key Responsibilities

• Solution Design & Implementation
  • Translate business requirements into scalable technical solutions on the DigitalGenius platform
  • Configure workflows, AI agents, integrations, and automation logic for complex e-commerce use cases
  • Design and implement APIs and third-party integrations (OMS, carriers, Helpdesk, etc.)
  • Prompt, tune, and evaluate LLM-powered components — classifications, extractions, guardrails, and generative replies
• Technical Ownership (Post-Sales)
  • Lead new use case implementation projects
  • Ensure timely, high-quality launches with measurable automation impact
  • Troubleshoot complex technical challenges across systems, data, and AI behavior
• Customer Collaboration
  • Partner with CSMs to align technical delivery with customer outcomes and ROI
  • Advise customers on best practices, scalability, AI strategy, and optimization
  • Support strategic expansions, new channels, and advanced use cases
• Product Partnership
  • Provide structured feedback to Product based on what you see in real implementations
  • Identify feature and AI capability gaps and contribute to roadmap discussions
  • Participate in beta testing, model evaluations, and product validation initiatives
• Optimization & Innovation
  • Continuously improve automation performance, resolution rates, and AI accuracy
  • Proactively identify opportunities for process improvements — both for customers and internally
  • Contribute reusable assets, documentation, prompts, evaluation sets, and internal best practices
  • Use AI to automate your own work: build internal tools, scripts, and agents that make the SE team faster and better

Qualifications

• AI-first mindset. You're genuinely excited about LLMs and applied AI.
• Automation / workflow mindset. You can translate business requirements into reliable flows.
• Strong API + integration experience (building and debugging).
• Python. Hands-on experience writing and shipping Python used by others.
• Strong communication. You can explain technical concepts clearly to non-technical stakeholders.
• Organization and project management. Strong organizational skills with the ability to manage workstreams.

Preferred

• Hands-on LLM experience. Prompting, classification, guardrails, evaluation, and tooling.
• Low-code / workflow automation experience. Tools like Zapier, Make, Workato, etc.
• E-commerce / OMS exposure (especially Shopify).
• Customer service platforms. Zendesk, Salesforce Service Cloud, or similar.
• SaaS delivery background. Implementations, solutions, or technical support in customer-facing environments.

Benefits

• Competitive Salary
• Generous vacation time (25 days)
• Environment to develop your skills without bureaucracy or red tape
• Monthly fitness stipend of $210 (Lifestyle wallet) from day 1
• Ongoing subscription to Mental Health Support Platform
• Paid Claude subscription — because we want you using the best AI tools every day
• Learning budget to invest in courses, books, conferences, and certifications