- Salary
- $116k – $160k
- Location
- New York City, NY; San Francisco, CA · New York, New York, United States · San Francisco, California, United States
- Type
- Full-time
- Department
- GTM Operations
- Seniority
- Entry
- Experience
- 3+ years
- Source
- Greenhouse
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 this role
Revenue Operations sits at the center of how our Sales and Success teams operate. We build the systems, processes, insights, and tooling that help hundreds of customer-facing teammates spend more time selling, coaching, and helping independent businesses grow.
We're looking for a highly analytical, AI-forward operator to join our Revenue Operations team to help shape how our go-to-market organization makes decisions.
You'll partner closely with Sales leaders to improve forecasting, pipeline diagnostics, sales performance, compensation operations, and operational infrastructure while building scalable analytical frameworks that make our business smarter over time. You'll also play an important role in helping our Revenue organization adopt AI and automation to eliminate manual work and improve decision making.
If you love solving ambiguous business problems, building scalable systems, and turning data into action, we'd love to meet you.
What you’ll do
- Partner on core Revenue Operations foundations including quota setting, book builds, compensation administration, and monthly business reporting
- Build scalable reporting and analytical frameworks that improve visibility into funnel health, pipeline quality, and sales performance
- Develop diagnostics that help Sales leaders identify opportunities, understand performance drivers, and make better decisions
- Improve forecasting infrastructure and manager tooling to increase confidence in revenue projections
- Perform ad hoc analytical deep dives that uncover actionable insights and influence go-to-market strategy
- Identify opportunities to automate operational workflows using AI and modern tooling, improving team productivity and reducing manual work
- Collaborate closely with Sales, Success, Finance, Data, and cross-functional partners to continuously improve how our revenue organization operates
We are looking for someone
Is exceptionally analytical
You enjoy breaking down complex business problems into structured analyses. You don't stop at identifying what happened—you figure out why it happened and what should happen next.
Is AI-forward
You naturally incorporate AI into your daily work. You're excited by new tools, constantly looking for ways to automate repetitive work, improve workflows, and increase the quality and speed of decision making.
Takes ownership
You don't wait to be told what to do. You proactively identify opportunities, build plans, and drive projects from idea through execution.
Executes with urgency
You move quickly, prioritize effectively, and consistently deliver high-quality work. You enjoy building scalable processes that make teams more effective.
Builds strong partnerships
You empathize with customer-facing teams and know how to influence through data, communication, and collaboration. You're just as comfortable working with Sales leaders as you are digging into a spreadsheet.
Loves learning
You're curious by nature. You enjoy tackling new problems, seek feedback, and continuously improve your craft.
Qualifications
- 3-5+ years of experience in Revenue Operations, Sales Operations, Business Operations, Strategy & Operations, Consulting, Finance, or a similarly analytical role
- Advanced Excel and/or Google Sheets skills
- Experience building dashboards and analyzing large datasets
- Experience translating data into clear business recommendations
- Experience managing cross-functional projects from beginning to end
- Experience using AI tools to improve productivity, analysis, or operational workflows
- Experience with sales compensation tools such as CaptivateIQ is a plus
- Strong SQL proficiency
Why you'll love this role
You'll work on some of the highest-leverage problems in our sales organization - from improving how we forecast revenue to designing analytical frameworks that shape sales strategy.
You'll also have the opportunity to help redefine how Revenue Operations works in an AI-first world. We believe AI should eliminate repetitive work and enable teams to spend more time solving meaningful business problems. If you're excited about building smarter systems and having a direct impact on business performance, you'll fit right in.
Salary Range
New York City and San Francisco: the pay range for this role is $116,000 to $159,500 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 (https://bit.ly/faire-form)
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 (https://www.faire.com/privacy)
