Staff Systems Engineer, Collaboration Platforms & AI

VISA

Foster City (CA)

On-site

USD 133,000 - 251,000

Full time

14 days+

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Job summary

Visa's Digital Media Engineering team seeks a Staff Systems Engineer to lead collaboration platforms and AI enablement across enterprise Microsoft Teams and related technologies. You will shape platform roadmap, drive integrations, and deliver AI-powered experiences to improve productivity and business outcomes.

The role emphasizes platform ownership, observability, security, and scalable collaboration solutions across the enterprise, with in-office requirements in Foster City, CA.

Qualifications

  • Experience with enterprise collaboration platforms and enterprise AI governance.
  • Ability to design, implement, and govern platform integrations and extensibility solutions.
  • Experience with APIs, automation frameworks, and telemetry/observability tools.
  • Strong collaboration with security, infrastructure, and product teams.

Responsibilities

  • Own and define the collaboration platform roadmap focused on MS Teams and 365 ecosystem.
  • Develop platform integrations, automation workflows, and AI-enabled capabilities.
  • Partner with stakeholders to deploy AI agents, copilots, and intelligent workflows.
  • Establish governance for AI agents, teams apps, and extensions.

Skills

Collaboration platforms
Microsoft Teams
AI governance
Platform integrations
APIs
Automation workflows

Education

Bachelor's degree

Tools

Microsoft Teams
Azure
Power Platform
Copilot

Job description

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Visa's Digital Media Engineering team is seeking a Staff Systems Engineer, Collaboration Platforms & AI to help shape the future of Visa's enterprise collaboration. This role combines systems engineering, platform ownership, AI enablement, and technology innovation to help drive the evolution of Microsoft Teams and related collaboration technologies across the enterprise.

The successful candidate will serve as a technical leader responsible for evaluating emerging capabilities, developing platform integrations and extensibility solutions, advancing AI-powered experiences, and assist defining Visa's collaboration platform roadmap. While deep Microsoft Teams expertise is not required on day one, candidates should possess strong engineering fundamentals, technical curiosity, and a passion for improving workplace experiences through technology.

This individual will help drive the evolution of Visa's collaboration platform ecosystem through AI-powered experiences, platform extensibility, operational intelligence, workflow automation, and emerging collaboration technologies to deliver innovative capabilities that improve how employees communicate, collaborate, and get work done.

Key Responsibilities
  • Serve as a technical and product subject matter expert for collaboration platforms, with a primary focus on Microsoft Teams and the broader Microsoft 365 ecosystem.
  • Own and help define the collaboration platform roadmap, identifying opportunities to enhance employee productivity, user experience, operational efficiency, and business outcomes through emerging technologies and platform capabilities.
  • Design and implement platform integrations, APIs, automation workflows, extensibility solutions, and custom collaboration capabilities that improve employee productivity and business outcomes.
  • Develop custom Teams applications, workflow solutions, and platform enhancements that extend collaboration capabilities and address business needs.
  • Partner with business and technology teams to identify opportunities to leverage AI, automation, and intelligent workflows across collaboration platforms.
  • Partner with business stakeholders to identify, develop, test, govern, and deploy AI agents that automate workflows, improve productivity, and deliver measurable value across the enterprise.
  • Establish lifecycle management and governance processes for AI agents, Teams applications, bots, and platform extensions, including intake, review, security assessment, deployment, monitoring, and ongoing optimization.
  • Drive adoption of Microsoft Copilot, AI-powered collaboration capabilities, intelligent meeting experiences, and future workplace innovations.
  • Define and implement observability, operational intelligence, analytics, and reporting capabilities that provide actionable insights into platform health, reliability, performance, utilization, adoption, and user experience across Microsoft Teams Rooms and collaboration services.
  • Monitor industry trends, vendor roadmaps, competitive offerings, and emerging technologies to help shape Visa's collaboration platform strategy and future-state vision.
  • Develop proofs of concept, pilot programs, and innovation initiatives that evaluate emerging capabilities, validate business value, and inform the future collaboration platform roadmap.
  • Partner with voice, events, and workplace technology teams to advance AI-enabled experiences across Teams Voice, Town Hall, meetings, broadcast, and collaboration services.
  • Collaborate with Security, Infrastructure, Workplace Technology, Digital Product, and End User Computing teams to deliver compliant, scalable, and secure solutions.
  • Act as an engineering escalation point for complex collaboration platform challenges and emerging technology opportunities.
Desired Experience
  • Strong systems engineering experience supporting enterprise platforms and services.
  • Experience with APIs, platform integrations, automation frameworks, workflow technologies, scripting, or enterprise application ecosystems.
  • Familiarity with cloud platforms, modern collaboration technologies, observability practices, analytics platforms, and solution architecture principles.
  • Experience evaluating, implementing, developing, or governing AI-powered capabilities, conversational agents, enterprise bots, Copilot experiences, intelligent automation, or digital assistants.
  • Experience supporting the full lifecycle of AI agents, bots, applications, or platform extensions from ideation and governance through deployment and adoption.
  • Experience defining roadmaps, evaluating emerging technologies, or influencing platform strategy within enterprise technology environments.
  • Experience with analytics, observability, telemetry, monitoring, operational intelligence, or service-health platforms used to improve user experience and operational effectiveness.
  • Experience with Microsoft 365, Microsoft Teams, Power Platform, Azure services, or comparable enterprise collaboration ecosystems is preferred but not required.
  • Demonstrated ability to translate business needs into scalable platform capabilities and user experiences.
  • Strong analytical, communication, stakeholder engagement, and problem-solving skills.
  • Curiosity, adaptability, and a passion for learning emerging technologies.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications

  • 6-8 years of experience supporting, engineering, or advancing enterprise collaboration, productivity, workplace technology, communications, or digital workplace platforms.
  • Experience with Microsoft 365, Microsoft Teams, Azure, Power Platform, APIs, automation frameworks, platform integrations, observability solutions, or extensibility technologies within enterprise environments.
  • Knowledge of collaboration platform governance, security, compliance, lifecycle management, AI governance, and operational best practices.
  • Experience developing, evaluating, implementing, or governing AI-powered capabilities, intelligent automation, conversational agents, Copilot experiences, enterprise bots, or custom collaboration solutions.
  • Demonstrated ability to assess emerging technologies, develop proofs of concept, influence platform strategy, and translate business needs into scalable collaboration capabilities. Microsoft certifications such as MS-700, MS-721, Azure, Power Platform, Copilot, or equivalent certifications are preferred.
Information for US Applicants

For roles located in the US, the estimated salary range for this position is $133,300 to $251,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

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