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 Marketing Analytics Senior Lead to own and evolve the analytics and measurement strategy for Lifecycle & CRM marketing at Faire. This is a highly visible, high‑impact individual contributor role that sits at the intersection of Marketing, Product, Data Science, and Finance.

This role goes beyond campaign‑level analytics. You will set the analytical direction for lifecycle measurement, define how success is measured across the funnel, influence how and where we invest marketing dollars, and serve as a trusted thought partner to senior marketing and finance leadership. You’ll lead ambiguous, cross‑functional problems end‑to‑end — from framing and hypothesis development to execution, synthesis, and executive‑level recommendations.

Your work will directly shape how Faire drives sustainable, efficient growth across both the demand and supply sides of a 2-sided marketplace through owned channels (email, push, onsite, etc.) via experimentation, and attribution.

What you’ll do

Strategic Ownership & Leadership

Own the end‑to‑end measurement framework for Lifecycle & CRM marketing globally, spanning aggregate performance, cohort‑level insights, and individual campaign evaluation.
Act as the primary analytics thought partner to Lifecycle Marketing, Strategic Finance, and Marketing Leadership, influencing roadmap, prioritization, and investment decisions.
Define and evolve north‑star KPIs and success metrics for lifecycle marketing, ensuring alignment with broader company and P&L goals.
Lead complex, ambiguous analytical efforts that require balancing short‑term performance with long‑term customer value.

Experimentation & Casual Measurement

Set the standard for experimentation strategy within Lifecycle/CRM, including test design, measurement rigor, and interpretation of results.
Design, analyze, and synthesize experiments focused on driving user behavior across the retailer and brand sides of the marketplace.
Partner with Product, Data Science, and Engineering to improve experimentation infrastructure and best practices.
Translate experimental results into clear, actionable recommendations for senior stakeholders.

Attribution, ROI, & Forecasting

Be the subject‑matter expert on marketing attribution for owned channels, partnering cross‑functionally to ensure correct tracking and interpretation.
Own and evolve payback, ROI, and LTV frameworks for lifecycle marketing, informing spend allocation and growth decisions.
Lead analyses to assess and improve attribution methodologies (e.g., scalars, incrementality approaches, MTA tradeoffs).
Support planning, forecasting, and scenario analysis for lifecycle investments in partnership with Strategic Finance.

Insight Generation & Storytelling

Surface proactive insights by deeply understanding how lifecycle performance trends over time, across cohorts, regions, and segments.
Distill complex analyses into crisp narratives tailored to technical and non‑technical audiences, including executives.
Build and own strategic dashboards and reporting that enable faster, better decision‑making across Marketing.

Org-level Impact & Leverage

Influence analytical best practices across Marketing Analytics by setting standards for rigor, documentation, and communication.
Mentor and level up analysts through informal coaching, feedback, and domain expertise sharing.
Contribute to the strategic direction of the Marketing Analytics function, identifying gaps, opportunities, and scalable solutions.

Qualifications

8+ years of experience in analytics, strategy, consulting, investment banking, product analytics, or business operations at a high‑growth technology or marketplace company.
Proven ability to own ambiguous, high‑stakes analytical problems end‑to‑end and drive them to clear business impact.
Deep expertise in marketing analytics, with experience in lifecycle/CRM measurement, experimentation, and ROI analysis.
Strong understanding of attribution methodologies and causal inference tradeoffs in a marketing context.
Exceptional analytical rigor — able to define metrics, size opportunities, and execute complex analyses independently.
Advanced SQL proficiency; comfort working directly with large, imperfect datasets.
Excellent communication and storytelling skills, with experience influencing senior leaders through data.
Strong business and product intuition, with the ability to connect analyses to broader company goals.
Ability to lead through influence, operate autonomously, and thrive in a fast‑paced, evolving environment.

Salary Range

San Francisco, CA & New York City, NY: the pay range for this role is $185,500 - $255,000 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 (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)

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