Job description

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role Our Client Platform Engineering team is responsible for the lifecycle and security of corporate endpoints. We support macOS, Windows, Chrome OS, iOS, and Android platforms. You will work cross-functionally to develop the best endpoint experience for Faire employees while providing world-class support as an escalation liaison for the IT Operations team. We care about good engineering practices that are secure, tested, and easy to maintain that can scale to thousands of users. As AI tools become part of daily workflows, you'll also help define how we deploy, secure, and govern them across the fleet. What you'll do: Design, build, and maintain automations across our endpoint management tech stack Own patching, OS upgrade campaigns, and application packaging and deployment Work closely with partner teams to design the best employee endpoint experience Have a keen eye for security best practices running a growing, mixed fleet of global endpoints Experience developing and deploying device trust Knowledge of EDR best practices and triage Exceptional customer service skills as you will be a point of escalation for the IT Operations team Document, teach, communicate, and reinforce procedures and best practices for the IT Team and offer technical mentorship and troubleshooting assistance to junior team members Set MDM controls and security posture for AI tools and agents on endpoints Evaluate and roll out AI-powered IT tooling, and use AI-assisted automation to accelerate scripting, config management, and troubleshooting Leverage AI-assisted automation to accelerate scripting, config management, and troubleshooting workflows Qualifications: 5+ years managing a large distributed fleet of macOS and Windows devices Hands on experience with an enterprise MDM such as Workspace ONE, Jamf, or Fleet Proficiency in a shell (bash/zsh) and a scripting language (Ruby, Python, Golang) Experience managing endpoints or servers at scale using code-based configuration management such as Chef, Ansible, Puppet, or SaltStack Good understanding of Zero Trust or Beyond Corp concepts Comfortable with complex projects and able to build proof of concepts quickly Understands the importance of security, compliance, and privacy when working with personal data Experience using AI coding assistants (e.g. Claude Code, Cursor) to build and maintain automation at scale Familiarity with the security considerations of AI tools/agents on managed endpoints (or willingness to build this expertise) Salary Range San Francisco: the pay range for this role is $174,500 to $240,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( bit.ly) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (faire.com)

Requirements

Must-haves

Design, build, and maintain automations across our endpoint management tech stack
Own patching, OS upgrade campaigns, and application packaging and deployment
Work closely with partner teams to design the best employee endpoint experience
Have a keen eye for security best practices running a growing, mixed fleet of global endpoints
Experience developing and deploying device trust
Knowledge of EDR best practices and triage
Exceptional customer service skills as you will be a point of escalation for the IT Operations team
Document, teach, communicate, and reinforce procedures and best practices for the IT Team and offer technical mentorship and troubleshooting assistance to junior team members
Set MDM controls and security posture for AI tools and agents on endpoints
Evaluate and roll out AI-powered IT tooling, and use AI-assisted automation to accelerate scripting, config management, and troubleshooting
Leverage AI-assisted automation to accelerate scripting, config management, and troubleshooting workflows
5+ years managing a large distributed fleet of macOS and Windows devices
Hands on experience with an enterprise MDM such as Workspace ONE, Jamf, or Fleet
Proficiency in a shell (bash/zsh) and a scripting language (Ruby, Python, Golang)
Experience managing endpoints or servers at scale using code-based configuration management such as Chef, Ansible, Puppet, or SaltStack
Good understanding of Zero Trust or Beyond Corp concepts
Comfortable with complex projects and able to build proof of concepts quickly
Understands the importance of security, compliance, and privacy when working with personal data
Experience using AI coding assistants (e.g. Claude Code, Cursor) to build and maintain automation at scale
Familiarity with the security considerations of AI tools/agents on managed endpoints (or willingness to build this expertise)
Why you’ll love working at Faire
Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythongolanggoaccessibility

Platform: greenhouse
Effort: quick