Product Operations Manager
Role Overview
Leads the Product Operations team and owns operational readiness for Brex product launches.
Owns product knowledge, the Help Center, the internal knowledge base, and measurement of their effectiveness.
The role combines product management, data, and operations capabilities and advances AI-supported workflows while preserving human judgment.
Key Skills for This Role
Full Job Posting
Role overview
Leads the Product Operations team and owns operational readiness for Brex product launches.
Owns product knowledge, the Help Center, the internal knowledge base, and measurement of their effectiveness.
The role combines product management, data, and operations capabilities and advances AI-supported workflows while preserving human judgment.
Workplace
- Based in Brex's Vancouver office in a hybrid environment.
- Requires at least three coordinated office days per week: Monday, Wednesday, and Thursday.
- Offers up to four weeks per year of fully remote work.
Launch readiness and enablement
- Ensure documentation, release notes, training, and tooling are ready for every release; adapt processes and capacity as release cadence evolves.
- Lead and improve OLAB, a weekly cross-functional board for assessing launch impact and aligning readiness.
- Engage early in launches and use customer and product insights to shape the product experience.
- Lead customer-facing escalations and crisis response, coordinate communications, establish a source of truth, and run retrospectives.
Documentation, data, and automation
- Own the quality and lifecycle of Help Center articles, internal knowledge, service descriptions, and implementation guides.
- Partner with leadership and Engineering to maintain product knowledge for people and AI systems.
- Use AI support-agent failure patterns to improve documentation, with human validation of each AI-suggested change.
- Define metrics for self-service, chatbot containment, knowledge adoption, and queue health, with thresholds, owners, and responses.
- Expand team automation and set standards for AI use, including where human judgment remains essential.
Team and cross-functional leadership
- Lead and develop four product-domain owners, set expectations, and manage performance and career growth.
- Partner across product and customer-facing teams to deliver timely enablement, balance readiness with delivery speed, and make practical trade-offs.
- Communicate performance and strategy to CX leadership and executives, translating data into decision-driving insights.
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 and navigating scope, sequencing, and trade-offs.
- Experience leading projects, mentoring teammates, or developing others; first-time managers are welcome.
- Ability to scale cross-functional processes and influence partner teams without formal authority.
- Experience owning documentation or knowledge at scale and maintaining quality as products evolve.
- Strong analytics, including defining metrics, building dashboards, and using data to prioritize.
- Hands-on experience integrating AI agents and automation into workflows with measurable improvements.
- Clear communication across technical and non-technical audiences, including presenting data to leadership.
- Sound prioritization under competing demands and adaptability as business needs change.
Bonus qualifications
- Bonus: fintech, financial services, or enterprise SaaS background; Product Manager experience; or at least one year managing or developing a team of three or more individual contributors.
- Bonus: experience structuring product knowledge for AI systems, self-service and containment metrics, governance forums, or translating operational insights into roadmap changes.
- Bonus: proficiency with Linear, Guru, Sanity, or Hex.
Compensation
- Expected Vancouver salary range is $120,800 to $151,000 CAD; starting base pay depends on location, skills, experience, market demands, and internal pay parity.
- Equity or other compensation may be included depending on the position offered.
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