- We’re hiring an Engineering Manager, AI Engineering to lead our AI Engineering team
- This team is responsible for building and operating the intelligence layer that powers Procurify’s platform, leveraging Generative AI, Machine Learning, LLMs, and agentic systems to help customers automate workflows, uncover insights, and make more effective spending decisions
- This is a player-coach leadership role
- You’ll lead a team of AI Engineers while remaining deeply involved in technical strategy, architecture, prototyping, and critical implementation decisions
- You’ll balance people leadership with hands-on technical contribution, helping shape both our AI platform and the next generation of AI-powered customer experiences
- You’ll work closely with Product, Design, Platform Engineering, Security, and Engineering leadership to define and execute Procurify’s AI strategy while building a highly engaged, high-performing team
- You value accountability, technical excellence, and know how to balance long-term vision with pragmatic execution
- Lead & Mentor
- Manage a team of AI Engineers, providing coaching for technical excellence, fostering individual career growth, and nurturing a high-performance culture built on trust, ownership, experimentation, and collaboration
- Lead Through Technical Contribution
- Serve as a player-coach by actively participating in architecture reviews, technical design, prototyping, proof-of-concepts, and critical implementation efforts. Maintain technical credibility through active engagement with the team’s work and technical direction
- Drive AI Product Delivery
- Lead your team to consistently deliver high-impact AI-powered products and platform capabilities. You’ll define success metrics, track progress transparently, and proactively communicate with stakeholders to ensure alignment and business impact
- Shape AI Architecture & Technical Vision
- Lead the technical strategy for AI Engineering by partnering with key stakeholders across Product, Platform, and Security to align our technical investments with business goals. By building foundational platforms rather, you will define the architectural standards and guardrails that empower our team to innovate at speed and scale agentic workflows, RAG systems, and LLM-powered features. Your focus includes:
- LLM-powered applications
- Retrieval-Augmented Generation (RAG) systems
- Agentic workflows and orchestration
- Prompt and context engineering frameworks
- AI evaluation systems
- AI observability and monitoring
- Responsible AI and governance practices
- Build Production-Grade AI Systems
- Guide the design, development, deployment, and operation of AI services and infrastructure, including:
- LLM and model integrations
- Knowledge retrieval systems
- AI orchestration platforms
- Agent frameworks
- Evaluation and testing frameworks
- AI monitoring and feedback loops
- Balance Innovation & Execution
- Think strategically to balance experimentation, technical debt reduction, platform investments, and product delivery. Help the organization move quickly while maintaining engineering quality and operational excellence
- Grow Our Engineering Culture




- Work with Engineering leadership to evolve Procurify’s engineering culture, championing technical excellence, responsible innovation, continuous learning, and disciplined execution
- Collaborate Broadly
- Work closely with partners across the organization—including Security, Platform Engineering, Product, Design and Customer teams—to deliver robust, trustworthy, and compliant AI solutions
- Lead with CARES
- Commitment: Demonstrates accountability and follow-through, delivering reliably and owning outcomes in a way that others can depend on
- Ambition: Takes initiative with curiosity and a growth mindset, pursuing bold ideas that elevate impact and performance
- Resilience: Shows adaptability, composure, and perseverance through challenges, staying focused and effective in a fast-changing environment
- Excellence: Brings rigor, collaboration, and a strong quality focus to deliver high-performing solutions and raise the bar for outcomes
- Simplicity: Applies focus, clarity, and streamlining to cut through complexity and enable efficient, impactful execution
- You’ll define and execute Procurify’s AI Engineering strategy
- You’ll build AI capabilities that directly shape the future of our platform
- You’ll lead a talented team of AI Engineers while remaining deeply technical
- You’ll influence architecture, platform investments, and AI governance across the organization
- You’ll help establish best practices for how AI is built, deployed, and operated at scale
- You’ll be part of a supportive, people-first culture that values curiosity, autonomy, growth, and innovation

Advantages

- Remote-first: As a remote-first organization, our team can work anywhere within Canada
- Flexible work hours: We don’t have set hours. You have the flexibility to work on the schedule that works for you and your team
- Health benefits: We prioritize our team’s health and wellbeing. We offer a competitive health, vision, and dental package along with an Employee Assistance Program (EAP), and a health and wellness spending account
- Stock options: Everyone has a chance to own a part of Procurify with our competitive stock program
- Financial wellbeing: We provide Wealthsimple programs and access to financial advisors to support our team’s diverse life goals
- Training and development: Personal and technical growth are things that we value, so we provide access to Pluralsight, Masterclass, and progressive career matrices
- Tech setup: We make sure our team is equipped with the right tools and tech to set them up for success from Day One
- Community initiatives: We have a strong commitment to giving back to our communities, including regular volunteer days, our Donate Your Day program, and education lunch and learns
- DEI initiatives: We run a diversity, equity,



and inclusion roundtable monthly where we host guest speakers and tackle the topics that matter
- Referral program: It’s all about who you know. Our grand prize for our Referral Bonus Program is a bucket list vacation for two!
- Responsible time off: We know there’s more to life than just work, which is why we offer generous Responsible Time Off for all of our team members. We encourage our team to take breaks, unplug and come back to work energized!
- Proven Leadership: 8+ years of software engineering experience. 3+ years leading software engineering teams. 3-5+ years building and deploying AI-powered products or platforms in production environments. Demonstrated success operating as a technical leader in a player-coach capacity

- Production machine learning services

- Agentic AI workflows
- LLM-powered applications

- AI orchestration frameworks
- AI Engineering Expertise Strong hands-on experience building and operating:
- AI evaluation and monitoring systems
- Retrieval-Augmented Generation (RAG) systems

- Databricks

- Vector databases

- Python
- Experience working with technologies such as:
- Azure OpenAI and/or AWS Bedrock

- Kubernetes
- LangGraph, LangChain, CrewAI, or similar orchestration frameworks

- ML/LLMOps tooling

- Large Language Models

- Generative AI
- Empathetic & Accountable: A self-driven, accountable leader who thrives in an autonomous, fast-paced environment and leads with empathy, compassion, and a people-first approach
- Architectural Acumen: Proven ability to architect and scale distributed systems, AI platforms, and customer-facing software products. You have a track record of navigating technical complexity while making pragmatic tradeoffs between speed, reliability, maintainability, and cost
- Exceptional Communicator: You excel at communicating complex technical concepts, AI capabilities, risks, and tradeoffs to both technical and non-technical audiences
- AI safety and governance considerations
- AI Product Mindset: Experience translating ambiguous business problems into AI-enabled products that deliver measurable customer value
- Modern AI Experience: Deep understanding of modern AI technologies including:

- Agentic architectures

- Retrieval systems
- If you feel like you don’t meet all of the requirements for this role, we encourage you to apply anyway. We know that feelings of imposter syndrome can get in the way of meeting incredible candidates, and we certainly don’t want those feelings to get in the way of meeting you! We really want to get to know you and why you’re great for the role. Please avoid including your picture and age on your resume
- FinTech or B2B SaaS Experience: A strong interest or background in the FinTech ecosystem. Direct experience building AI-powered products in a B2B SaaS environment is highly desirable
- Agile & DevOps Mindset: Strong knowledge of agile development practices, CI/CD, test automation, observability, and up-to-date software delivery practices
- AI Platform & LLMOps Experience: Experience building workflow orchestration systems, durable async programming, intent detection, AI platforms, evaluation frameworks, model governance, processes, or AI developer tooling

📌 Engineering Manager (AI Engineering) (Vancouver)
🏢 Procurify
📍 Vancouver