Brex
Product Operations Manager
Vancouver, British Columbia, Canada · Mid
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About the role
- 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.
- If you want to work at the heart of the business, Operations is where you belong.
Responsibilities
- 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.
- 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.
- Lead customer-facing escalations and crisis response, establishing a single source of truth, coordinating communications, and running retrospectives.
- 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.
- 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 owning documentation or knowledge at scale, maintaining quality as products evolve.
- Hands-on experience integrating AI agents and automation into workflows, with measurable improvements in efficiency or outcomes.
- Experience as a Product Manager.
- 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.
Nice to have
- 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.
Skills
- Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets.
- Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
- Operations at Brex
- Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform.
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.
- As a perk, we also have up to four weeks per year of fully remote work!
Company info
- 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.
This listing is sourced directly from Brex's careers page and normalized into a canonical job model.