Product Operations Manager
Brex is hiring a Product Operations Manager in Vancouver, Canada. It pays CAD 121k-CAD 151k a year and Level rates it ; you can apply on Brex.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions AI agents, product operations and process automation among its tools and skills.
- Level classes it as a lead role.
- Brex has 253 other open roles on Level.
AI in this role
Product Operations Manager leading product launch readiness and expanding internal AI-driven workflow automation.
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Operations at Brex
Operations is the backbone of Brex’s mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong.
What you'll do
You'll lead the Product Operations team and own the operational readiness for Brex's product launches: the enablement that must be in place before a customer ever touches a new feature. You'll also own Brex's product knowledge, the Help Center, and our internal knowledge base, plus the measurement that tells us whether it lands.
This is a role for someone who combines product manager, data, and operations skills and behaviors. You'll inherit a team that has already automated a large share of its own workflow, with a suite of production agents running much of the recurring work. Your job is not only to keep that running, but to push it further: expand what AI carries and reinvest the capacity it frees into the judgment work only people can do. We want to raise our evidence bar by using key metrics to hold ourselves accountable, focus on where the impact is greatest, and celebrate our wins. We treat AI as leverage, not as a deliverable, and we measure it by how it improves our efficiency and the quality of our deliverables.
Where you'll work
This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities:
Launch readiness and enablement
- Own launch readiness, ensuring documentation, release notes, training, and tooling are ready for each release. Adapt processes and team capacity as EPD’s release cadence evolves.
- Lead and improve OLAB, the weekly cross-functional board that assesses launch impact and aligns teams on readiness.
- Engage early in launches, using customer and product insights to shape the product experience.
- Lead customer-facing escalations and crisis response, establishing a single source of truth, coordinating communications, and running retrospectives.
Documentation and product knowledge
- Own the lifecycle and quality of product documentation, keeping Help Center articles, internal knowledge, service descriptions, and implementation guides accurate, current, and clear.
- Partner with leadership and Engineering to structure and maintain product knowledge for people and AI systems.
- Turn AI support agent failure patterns into documentation improvements, with human validation of every AI-suggested change.
Data and automation
- Define actionable metrics for self-service, chatbot containment, knowledge adoption, and queue health, with clear thresholds, owners, and responses.
- Expand team automation and set standards for effective AI use, including where human judgment remains essential.
Team and cross-functional leadership
- Lead and develop a team of four product-domain owners, setting clear expectations and managing performance and career growth.
- Partner across product and customer-facing teams to deliver accurate, timely enablement, balancing readiness with delivery speed and making practical trade-offs.
- Communicate performance and strategy to CX leadership and executives, translating data into clear insights that drive decisions.
Requirements
- 4+ years in Product Operations, Product Management, Program Management, or a related function, ideally in fast-paced tech or fintech.
- Experience partnering with Product and Engineering through full launch cycles, with confidence navigating scope, sequencing, and trade-offs.
- Experience leading projects, mentoring teammates, or developing others. First-time managers are welcome.
- Proven ability to scale cross-functional processes and influence partner teams without formal authority.
- Experience owning documentation or knowledge at scale, maintaining quality as products evolve.
- Strong analytical skills, including defining metrics, building useful dashboards, and using data to prioritize.
- Hands-on experience integrating AI agents and automation into workflows, with measurable improvements in efficiency or outcomes.
- Clear, precise communication across technical and non-technical audiences, including presenting data to leadership.
- Sound prioritization under competing demands and adaptability as processes and business needs change.
Bonus points
- Background in fintech, financial services, or enterprise SaaS.
- Experience as a Product Manager.
- 1+ years managing or developing a team of 3+ individual contributors.
- Familiarity with structuring and maintaining product knowledge for AI systems at scale.
- Experience with self-service and containment metrics.
- Proficiency with tools such as Linear, Guru, Sanity, and Hex.
- Experience running cross-functional governance forums or advisory boards.
- A track record of turning operational insights into product roadmap changes.
Compensation
The expected salary range for this role in Vancouver is $120,800 to $151,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
How we rate this
Product Operations Manager at Brex rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product operations was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
- Tell me about a project where knowledge management was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Operations, Process Automation, Knowledge Management, and Cross Functional Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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