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Faire

Strategy & Analytics Senior Director, Discovery

Faire is hiring a Strategy & Analytics Senior Director, Discovery in New York and San Francisco, United States. It pays $286k-$393k a year and Level rates it ; you can apply on Faire.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include analytics, strategy and leadership.
  • Level classifies it as a lead role.
  • Level lists 65 other open roles at Faire.

AI in this role

Lead the Strategy and Analytics Discovery team at Faire, focusing on search, recommendations, and ads analytics to drive marketplace growth.

analyticsstrategyleadershipexperimentationteam-management

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

We’re looking for a Strategy & Analytics Senior Director to lead our Discovery pillar. Our Discovery pillar focuses on the core shopping experience — helping retailers find the right products and brands through search, recommendations, ads, and exploration while balancing marketplace dynamics.

As the Discovery S&A Pillar lead, you’ll level up the Discovery pillar through analytics, both strategically and operationally. You will inform the pillar's most important decisions as a strategic thought partner, operationalize analytics through thoughtful systems, and take extreme ownership of key company-wide datasets and metrics. You will build and lead a high-performing S&A team that delivers these with exceptional strategic clarity, analytical rigor, and ownership.

What you’ll do

  • Drive strategic decisions at the pillar level. Serve as a trusted member of Discovery pillar leadership to inform the pillar’s most important decisions through pillar-level analysis, leveling up pod work, identifying white space opportunities, and connecting the dots across pods.
  • Build, manage, and level up the Discovery S&A team. Recruit, coach, and grow an all star S&A team. Set a clear bar and vision to develop ICs.
  • Own offensive and defensive tracking for key company and Discovery metrics. Drive a reporting drumbeat key metrics so we catch issues early, know when to decomp, and proactively identify opportunities to move them.
  • Set the standard for analytical rigor across Discovery. Raise the bar on how the pillar uses data to make decisions. Set and uphold experimentation best practices for Discovery, from how tests are designed to how results get acted on.
  • Make Discovery data usable company-wide. Drive the creation of the datasets, documentation, and self-serve tooling that enable anyone at Faire to reliably leverage complex Discovery data in analysis.
  • Be the steward of data enablement for S&A. Own the tooling, operating model, and cross-functional relationships to ensure S&A has the right foundations to quickly and reliably drive impact.
  • Create the systems and processes that enable a well run team. Create the right systems to enable Discovery S&As to set the analytical roadmap, prioritize effectively, and scale themselves and their impact. Take what works well to level up the broader S&A team.

Qualifications

  • Team Building - Proven ability to attract, develop, and retain top talent.
  • Strategic Problem Solving - World class at breaking down the most ambiguous problems and coordinating large teams to answer it. Can cut through the noise to get to the answer and coach their team to do the same. Clear, structured, and concise communicator.
  • Product & Business Intuition - Can contextualize how insights fit into broader business goals. Ideally has deep understanding of marketplaces and/or discovery.
  • Proactivity & Ownership - Identifies gaps in knowledge or the way we work and owns driving solutions forward.
  • Analytics - Has a strong technical toolkit. Can go deep on the hardest Discovery analyses and sets a high bar for analytical rigor and digging to the root.
  • Cross-functional influence - Strong collaborative partner to key stakeholders. Gets outcomes through partners without formal authority.
  • Values - Growth mindset, scrappy, adaptable, curious, low ego, and strong work ethic.

Salary Range

San Francisco, CA or New York City, NY: the pay range for this role is $285,500 - $392,500.

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

  • Flexible paid time off, plus company-wide recharge days
  • Paid parental leave up to 16 weeks
  • Comprehensive health coverage, with options varying by location
  • Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance
  • Mental health support and coaching through Modern Health
  • Stipends to support your professional development, wellness, and work from home needs
  • Employer-sponsored retirement plan, dependent on country of employment

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)

How we rate this

Strategy & Analytics Senior Director, Discovery at Faire rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AnalyticsStrategyLeadershipExperimentationTeam Management

Questions you could be asked

  1. Tell me about a project where analytics was part of your work. What did you do?
  2. Tell me about a project where strategy was part of your work. What did you do?
  3. Tell me about a project where leadership was part of your work. What did you do?
  4. Tell me about a project where experimentation was part of your work. What did you do?
  5. Tell me about a project where team management was part of your work. What did you do?

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  • List these exact terms on your resume: Analytics, Strategy, Leadership, Experimentation, and Team Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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