AXS
Senior Product Manager, Experience Control
Los Angeles, CA · Senior · Full-time
No sponsorship$134k-$154kDetected 50 days ago
Distributed SystemsA/B TestingIncident ResponseProduct ManagementProduct StrategyStakeholder ManagementLogisticsControlsCommunicationProblem Solving
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odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Defining product vision, roadmap, and priorities for Experience Control capabilities across the AXS platform.
- Establish platform priorities that balance operational reliability, scalability, modernization, and business growth.
- Identify and prioritize improvements that reduce operational friction, improve incident response, and increase system reliability.
Responsibilities
- Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.
- Own platform capabilities delivered through applications, APIs, SDKs, integrations, event-driven services, and backend systems.
- Support mission-critical systems where latency, uptime, and performance directly impact fan entry and venue operations.
- Partnering with Access Control Partners and internal engineering teams to design, deliver, and maintain integrations that enable reliable ingress operations.
- Develop a deep understanding of venue ingress operations, access control workflows, credential management, and event-day execution.
- Build alignment across diverse stakeholder groups and influence decisions through data-driven insights and customer understanding.
- Experience partnering closely with engineering teams to deliver platform, integration, or infrastructure-adjacent products within modern distributed architectures.
- Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
Requirements
- Familiarity with event-driven architectures, distributed systems, operational telemetry, observability, and data-driven product decision making.
- Ability to quickly understand and navigate complex ecosystems spanning modern platforms, legacy systems, integrations, and operational processes.
Nice to have
- Track record of modernizing legacy operational systems while balancing migration risk, business continuity, and long-term platform evolution.
- Familiarity with software-plus-hardware ecosystems, including mobile applications, hardware integrations, edge devices, or operational technology environments.
- Understanding of service reliability, operational readiness, performance objectives, and incident management practices.
- Exposure to complex global organizations and products serving multiple international markets.
- Domain expertise in live entertainment, ticketing, venue operations, access control, identity, payments, transportation, hospitality, logistics, or other operationally intensive industries.
- You may be the right candidate for this or other roles.
- Pay Scale: $133,650 - $154,000
Compensation
- $134k-$154k
Benefits
- Currently, full time employees are eligible for these benefits on the first day of employment.
- Development and Learning - Opportunities for learning and leveling up through training and education reimbursement.
Company info
- https://solutions.axs.com/careers/
- For more than 20 years, AEG has played a pivo
- More about AEG
- AXS is seeking a Senior Product Manager to own the end-to-end strategy and execution of our Experience Control platform.
Visa & Work Authorization
- Employer does not offer work visa sponsorship for this position.
This listing is sourced directly from AXS's careers page and normalized into a canonical job model.