- Salary
- $220k – $303k
- Location
- New York City, NY; San Francisco, CA · New York, New York, United States · San Francisco, California, United States
- Type
- Full-time
- Department
- Product
- Seniority
- Senior
- Experience
- 7+ 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
The Discovery pillar’s core mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role will own product development of our algorithms powering search, the largest discovery surface by order volume.
What you’ll do
- Develop and execute on a strategy that takes our search algorithms to the next level
- Refine our breakdown of key search query segments, identify novel opportunities for improvements, and diagnose root causes for today’s failure modes
- Refine our suite of offline and online metrics to help us better understand the retailer’s search experience and the performance of each component of our search system
- Evaluate tradeoffs between technical solutions across velocity, scale, cost, and modularity
- Work with and learn from a broad range of world-class leaders across engineering, product management, data science, design, and operations
- Make decisions alongside company founders and the CEO
- Empower small businesses around the world to chase their dreams and invest in their local communities
Qualifications
- Bachelor’s degree or equivalent experience.
- You have 7+ years of experience in a product or technical role at a high-growth tech startup. Bonus if you have experience working on search algorithms
- You have experience building high-scale products through state-of-the-art engineering and data science
- You regularly use ML/AI to solve business problems and are well-versed with recent advancements in the field.
- You’re an extraordinarily fast learner. You have the natural curiosity and intellectual horsepower to deeply understand new topics and pick up new skills in a very short time.
- You are relentlessly resourceful. When something needs to get done, you always find a way to make it happen. Even when the work is hard, you power through it and execute with limited information and ambiguity.
- You are a creative problem-solver. You excel at identifying unintuitive solutions to tough problems.
- You are passionate. You are optimistic with a positive energy that other people draw upon.
- You care deeply about developing products and solutions that will create the best experience for our customers.
Salary Range
San Francisco, CA: The pay range for this role is $220,000 - $302,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors, including transferable skills, work experience, market demand, 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)
