AI Outcomes Engineer

Mission

Help to drive AI outcomes across Granum and accelerate operational efficiency across departments by translating business challenges into practical AI-powered solutions. Deliver agents, automations, and integrations that reduce manual effort, improve accuracy, and deliver measurable ROI. Partner cross-functionally to identify the highest-value opportunities and ship reliable outcomes using platforms like Glean, modern developer tools, and cloud infrastructure.

Role Overview

You are a curious, technically capable builder who turns business needs into practical AI-powered solutions. You will think outside the box to map and redesign workflows across departments, configure Glean agents, assist with custom data connectors, and create standalone automations where needed. You measure what you ship, iterate based on feedback, and keep everything well-documented and easy for teams to adopt.

Core Responsibilities

• Partner with functional leads across departments to conduct discovery workshops, identify automation opportunities and prioritize opportunities by estimated business impact (cost savings, revenue acceleration, risk reduction).
• Design and ship AI agents and workflows end-to-end. The kind that move company-wide KPIs, not just save a few clicks.
• Work with APIs, webhooks, and structured data to feed your agents and automations with the right information from the right systems.
• Build standalone automations when the problem doesn't fit neatly into an existing platform. You pick the right tool for the job, not the other way around.
• Run structured pilots with small teams using your builds. Iterate on prototypes in real workflows, and partner with Data Insights to validate results before broader rollout.
• Monitor adoption, usage, and permission-aware access across deployed agents and automations; track impact metrics (actions taken, time saved) and report on outcomes.
• Work with internal teams to support the deployment of connectors and automations from your builds on AWS or Azure using standard cloud services and Docker.
• Demo agents and tools with teams, create training resources, and embed AI-powered workflows into everyday operations. Drive adoption through hands-on support, clear documentation and by being a go-to resource for AI related tools.
• Develop a strong understanding of our core platforms, like Glean, and help evaluate new AI tools to continuously improve our workflows.
• Build and configure custom Glean connectors to bring new data sources into the platform when necessary.

Who You Are

• You have experience building AI agents, data connectors, or workflow automations that actually changed how a team works. Configuring tools is great, but what gets us excited is when you've built something from scratch because the right tool didn't exist yet.
• You're comfortable with APIs, data formats like JSON, and connecting systems that weren't designed to talk to each other. 
• You can design multi-step agent workflows with the right guardrails, not just write good prompts. The prompts are the easy part. The data flow, error handling, human-in-the-loop checkpoints, and eval criteria are what matter.
• You’re a creative problem-solver. You have the ability to investigate ambiguous business challenges, think outside the box, and design non-traditional automated solutions.
• You think in ROI, not just features. You can size an opportunity, estimate the impact, and explain the trade-offs to a room that doesn't speak API.
• You understand how GTM, CS, and Ops teams actually work. You can map a process, spot the bottlenecks, and know which ones are worth automating.
• You take vague requests and turn them into something that ships. "Can we automate this?" doesn't frustrate you. It's the starting point.
• You've worked in B2B SaaS and understand the rhythm. Pipeline, churn, ARR, renewal cycles, none of that needs to be explained to you.

Compensation:

• Canada-based candidates: CAD 100,000 - 140,000

• US-based candidates: USD 100,000 - 140,000