About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions. 

What you’ll do 

• Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices 
• Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes 
• Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization 
• Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives 
• Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization 
• Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage

Qualifications

• 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function 
• Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases. 
• Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms 
• Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker) 

Nice to have: 

• Experience with Python, R or other programming languages 
• BA/BS degree, ideally in computer science, math or another quantitative field 
• Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation

Salary Range

San Francisco and New York: 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.

About this role

Faire is looking for a highly motivated Senior Accountant to join our General Ledger (GL) Accounting team and help strengthen and advance our world-class controllership function as we scale. This is a high-impact role focused on strengthening our month-end close, enhancing internal controls, and driving operational excellence across a fast-growing and increasingly complex global business. This is a great opportunity for someone who thrives in a dynamic environment and is excited to contribute to a high-performing, collaborative Accounting and Finance organization.

What you’ll do 

• Take end-to-end ownership of monthly close activities including journal entries, account reconciliations, and variance analysis across core areas such as key expense accruals, T&E and internally developed software.
• Strengthen and maintain accounting processes and internal controls with a focus on scalability and documentation
• Partner with cross-functional teams and shared services to align on process execution and operational efficiency 
• Prepare high-quality, audit-ready documentation and support both internal and external audit requests
• Identify opportunities to streamline workflows, automate tasks, and improve use of systems
• Help develop and maintain accounting policies and procedures as the company grows
• Support ad hoc projects and collaborate with the broader Accounting and Finance teams

Qualifications

• Bachelor’s degree in Accounting or a related field (CPA a plus)
• 4+ years of progressive accounting experience, ideally a mix of public and private/company-side
• Strong understanding of US GAAP, internal controls, and documentation best practices
• Proficiency in Excel (e.g., pivot tables, VLOOKUPs)
• Analytical mindset with strong attention to detail and problem-solving ability
• Excellent communication skills and comfort working cross-functionally
• Self-starter who thrives in a fast-paced, evolving environment
• Familiarity with accounting systems like Netsuite, close tools (e.g. FloQast) and spend management systems (e.g., Ramp, Zip, Concur)

Nice To Have

• Experience working with shared services or offshore teams
• Exposure to multinational operations or intercompany accounting
• Experience in a high-growth or tech-forward environment
• Interest in or experience applying AI or automation tools to improve accounting workflows

Salary Range

San Francisco: the pay range for this role is $108,000 to $148,500 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.

About this role

The Lead Creative Producer will own and scale Faire’s end-to-end creative production for global marketing campaigns. This role blends hands-on execution with strategic planning to ensure campaigns are delivered with clarity, speed, and creative excellence from concept through launch.

You will define and elevate how campaigns are produced—establishing scalable processes, improving cross-functional alignment, and driving operational rigor across Creative, Marketing, Growth, Product, and external partners. As the connective tissue across teams, you bring structure to complexity, guide high-stakes work with sound judgment, and ensure creative integrity at every stage.

Campaigns span concept development through asset production across film, video, photography, audio, motion/animation, and 3D—integrated into cohesive, multi-channel launches. The scope also includes localization, licensing, and legal/regulatory compliance, ensuring global readiness is built into production from the start.

By orchestrating work across mediums, partners, and markets, this role will formalize the operating standard for campaign production at Faire.

What you’ll do 

• Deliver high-impact, integrated global campaigns from concept through launch—on time, on budget, and at a high creative bar
• Create clear production strategies that align scope, timelines, and resourcing—reducing friction and accelerating execution
• Drive strong cross-functional alignment across Creative, Marketing, Growth, Product, and agency partners, ensuring decisions are timely and teams stay focused
• Build review and approval frameworks that improve clarity, speed, and creative quality
• Make thoughtful trade-offs that protect campaign impact while navigating ambiguity and competing priorities
• Steward production budgets and vendor partnerships to maximize value and efficiency
• Design and evolve scalable workflows that increase velocity without compromising craft
• Identify and eliminate systemic inefficiencies, leaving the organization stronger after every campaign
• Ensure every asset meets a high standard for creative excellence, technical precision, and launch readiness
• Provide leadership with clear visibility into progress, risks, and recommendations—enabling confident decision-making

Qualifications

• 6–8+ years of experience in creative production, campaign operations, or agency leadership
• Proven track record leading large-scale, multi-channel campaigns across digital, video, social, paid, and owned channels
• Deep fluency in end-to-end creative workflows and production ecosystems
• Experience operating at a leadership level as a highly accountable individual contributor
• Demonstrated ability to balance strategic thinking with hands-on execution, connecting long-term vision to day-to-day delivery
• Strong operational rigor, creative judgment, and taste
• Experience developing, optimizing, and scaling systems, tools, and workflows for creative and production operations
• Track record of driving operational change and aligning cross-functional teams to a shared strategic direction
• Highly organized and structured, with the ability to apply process pragmatically to move work forward
• Exceptional cross-functional influence skills, with the ability to drive alignment and make decisions without direct authority
• Calm, decisive presence in high-pressure, high-visibility environments

About this role

We are looking for a highly analytical and resourceful Growth Marketing Manager to drive the execution of our paid social and retargeting programs. This is an experimentation-heavy role focused on advancing a broad range of growth initiatives, from scaling Faire’s paid retargeting program to launching brand acquisition tests. Additionally, the role will support day-to-day paid social campaign management to ensure we hit KPI goals through the optimization of key performance levers. The ideal candidate is a scrappy, metrics-driven self-starter who is well-versed in the Meta platform and other paid social platforms, is comfortable managing campaigns with some guidance, and is eager to continuously explore new ways to incorporate AI into their workflows for increased efficiency. The ideal candidate is plugged into the social media landscape, staying current with creative trends and innovative campaigns from other companies to introduce fresh ideas. Has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support.

What you’ll do 

• Execute and scale retargeting campaigns to drive repeat retailer purchases and improve retention, while maintaining strict efficiency goals.
• Assist in the day-to-day operations of our paid social program to analyze daily campaign performance and explore optimization opportunities (e.g. creatives, bidding, landing pages) in order to hit weekly KPI targets focused on maximizing user growth while maintaining efficient acquisition costs
• Lead the execution of new high-impact pilot growth projects that require quick implementation and are not yet a part of our evergreen programs.
• Identify opportunities to leverage AI and automation tools to streamline campaign processes, reporting and experimentation workflows.
• Collaborate with cross-functional teams to tackle a variety of challenges including troubleshooting tracking issues, coordinating with creative teams, and identifying resourceful, data-driven solutions to achieve KPI goals.

Qualifications

• 3-5 years direct, hands-on experience managing medium scale campaigns on Meta and other paid social channels with focus on optimizing for down-funnel metrics. 
• Strong understanding of paid marketing metrics (CPM, CTR, CVR) and the appropriate levers to pull in different scenarios 
• Proficiency with marketing automation tools for optimizing and making bulk campaign changes (e.g. Smartly, Hunch, Omneky) 
• Highly analytical with a structured approach to solving problems. Proficient in analyzing large datasets through Excel and/or SQL and data visualization tools (e.g. Mode and Tableau)
• Experience using AI and automation to improve workflows and output quality such as campaign QA and analytics
• Track record as a fast learner with a knack for creative and technical solutions.
• Familiarity with AB testing and incrementality testing 
• Experience using paid marketing for retargeting and reengagement a strong plus 
• Experience in a two-sided marketplace or with products aimed at small business owners is a strong plus
• Experience in managing a cross-border program is a plus
• Ability to thrive in a fast-paced, constantly changing environment, with the agility and flexibility to balance multiple priorities simultaneously

San Francisco: the pay range for this role is $118,500 to $163,000 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.

About this role

Faire's quality, depth, and breadth of brands is its strongest value to retailers. The Enterprise Account Executive role sits at the center of our enterprise brand acquisition efforts — partnering with larger, more complex brands to bring them onto the Faire platform. You'll own a book of strategic prospects, navigate multi-stakeholder sales cycles, and help shape how we approach enterprise partnerships as a team.This role is for you if you've sold into mid-market or upper mid-market environments where deals involve 5-6 stakeholders, span multiple quarters, and require building business cases that resonate across departments. You're a strong storyteller who understands change management and knows how to frame value for decision-makers who are protective of their existing distribution strategies.

What you’ll do 

• Own and execute against a quarterly quota of GMV and brand activations, managing a pipeline of strategic enterprise prospects
• Navigate complex, multi-stakeholder sales cycles (typically 6-9 months) by building relationships across departments and handling objections at each level
• Develop tailored proposals and business cases that align Faire's value with each prospect's specific goals and constraints
• Partner with cross-functional teams - including Product, Strategy & Analytics, and Revenue Operations - to refine our enterprise sales motion and share market
  insights
• Contribute to the evolution of our sales playbook, value props, and outreach strategies based on what you learn in the field
• Meet prospects in person when needed to build trust and accelerate deal velocity

Qualifications

• 5+ years of closing experience in B2B technology sales, ideally in mid-market or upper mid-market environments
• Track record of managing complex sales cycles with multiple stakeholders and long timelines
• Experience selling products or services that require change management or business model evolution on the buyer's side
• Strong storytelling ability - you can articulate value clearly and build narrative around why a prospect should act
• Comfort with ambiguity and a bias toward action; you figure things out and move forward
• Retail, e-commerce, or marketplace experience is a strong plus
• Based in or willing to relocate to San Francisco

On-Target Earnings (OTE) Range
San Francisco: the pay range for this role is $160,000 to $220,000 per year.

This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

Canada: the pay range for this role is $180,000 to $247,500 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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

San Francisco: the pay range for this role is $211,000 to $290,500 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.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

San Francisco: the pay range for this role is $246,500 to $339,000 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.

About this role

The Account Manager, Fulfillment owns the post-onboarding relationship for a portfolio of brands enrolled in Fulfilled by Faire. This is a commercially-oriented role sitting at the intersection of customer success, strategic account management, and operational consulting. The AM is accountable for brand retention, unlocking addressable SKUs within FbF, and driving the consolidation of non-Faire wholesale volume onto the platform — ultimately increasing FbF's share of each brand's total distribution.

This role requires equal fluency in relationship management and data-driven storytelling. The best AM will translate operational metrics into commercial conversations, coach brands on the cost, ease, and growth benefits of FbF, and proactively identify at-risk accounts before churn signals become churn events.

What you’ll do 

1. Business Reviews & Brand Relationships

• Own the QBR/MBR cadence for your portfolio of brands — prepare, deliver, and follow up on structured business reviews that connect FbF operational health to brand revenue outcomes. Note: this is specific to Fulfillment, different than BSMs
  • BSM = general portfolio of programs and brand perf on Faire, how's it all going, ROI of each program etc.
  • Fulfillment AM = goal of retention + revenue; then how to coach brands on cost/ease/growth
• Build multi-threaded relationships within brand accounts (founder, ops lead, sales director) to ensure Faire has a durable presence beyond a single point of contact.
• Develop and maintain a living account plan for each brand documenting their wholesale strategy, growth goals, pain points, and consolidation opportunity.
• Track and surface brand health signals (fulfillment SLA trends, return rates, catalog coverage, order velocity) to shape the review narrative and prioritize interventions.

2. Churn Prevention & Retention

• Maintain a real-time risk register for your portfolio — flag brands showing signs of disengagement (declining order volume, SLA friction, support ticket escalation, low catalog activity) and activate retention protocols before churn is formally triggered.
• Lead escalation management for brands experiencing fulfillment issues; coordinate internally with FbF Ops and Warehouse teams to resolve and close the loop with the brand (including post onboarding questions + feedback)
• Build and recommend custom “save” plans for at-risk accounts, including fee concessions, operational audits, and executive engagement where warranted (ie where to offer appeasements and program benefits)
• Conduct structured off-boarding interviews with any brand that churns to capture root cause and feed insights back to product, ops, and leadership.

3. Consolidation & Non-Faire Wholesale Volume

• Map each brand's total wholesale footprint — identify the volume, channels, and retail segments currently fulfilled outside of Faire and quantify the consolidation opportunity.
• Build and present a compelling consolidation case tailored to each brand: cost per order comparison (FbF vs. 3PL vs. self-fulfill), SLA reliability benchmarks, and projected net margin impact of migrating volume to FbF.
• Develop milestone-based migration plans for brands willing to consolidate, coordinating with Warehouse Ops to ensure capacity and onboarding support.
• Track consolidation pipeline and report GMV-at-risk (volume outside Faire) alongside GMV-converted (volume successfully moved to FbF) in your portfolio metrics.

4. Catalog Penetration & Upsell

• Audit each brand's active Faire catalog against their full SKU assortment — identify categories, price points, or product lines with low representation on the platform.
• Partner with brands to expand catalog depth and breadth, with particular focus on high-velocity SKUs and seasonal assortment that can drive incremental retailer demand.
• Position catalog growth as a retention lever: more SKUs in FbF increases platform stickiness and makes brand consolidation structurally harder to reverse

Qualifications

• 3–5 years of experience in account management, customer success, or strategic partnerships — preferably in a marketplace, logistics, e-commerce, or B2B SaaS context.
• Demonstrated track record of owning commercial outcomes (retention, expansion revenue, or upsell) within a named account portfolio.
• Strong analytical fluency — able to pull and synthesize data from BI tools (Looker, Mode, Snowflake) to build business cases and executive-level narratives.
• Excellent written and verbal communication; comfortable presenting to brand founders and operators with conviction and clarity.
• Experience managing escalations and cross-functional coordination under time pressure.

Preferred

• Background in wholesale, retail supply chain, 3PL operations, or fulfillment — understanding of landed cost economics and operational trade-offs is a meaningful differentiator.
• Experience at a marketplace or platform company with both buyer and seller stakeholders.
• Familiarity with Zendesk, Salesforce, or similar CRM/support tooling.
• Comfort with ambiguity and iterative process-building; this role will help define its own playbook.

Salary Range

On-Target Earnings (OTE) Range
San Francisco: the pay range for this role is $132,000 to $181,500 per year.

This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future.

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

Toronto: the pay range for this role is $171,000 to $235,500 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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role:

The Corporate Security team at Faire owns the tools and policies that keep our people, data, and systems protected. The team's scope includes endpoint detection, data loss prevention, email security, corporate threat detection, compliance training, and AI governance. As our Staff Engineer focusing on Enterprise AI, you will be Security and IT's technical leader for AI systems, partnering with engineering teams in driving AI initiatives to ensure governance, security, and enablement scale alongside adoption. You'll work across every level of the organization, balancing the drive to "Make it happen fast" with the discipline to move safely.

What you'll do:

• Own and drive Faire's company-wide AI strategy in partnership with engineering, business, and executive stakeholders. This means setting the direction for which tools we adopt, how we govern them, and how we scale adoption.
• Serve as the technical authority on AI platform administration for tools like Anthropic and OpenAI. You'll evaluate, enable, and disable native connectors, plugins, and features based on risk, security posture, and business value.
• Build and maintain decision frameworks (e.g., risk matrices, enablement criteria) that make AI governance repeatable and transparent.
• Design and engineer secure experimentation infrastructure, including sandboxed environments, isolated MCP connectors for testing new features, and scoped OAuth flows, so teams can safely explore new AI capabilities.
• Design and build custom MCP integrations when out-of-the-box options don't exist or don't meet Faire's security requirements (e.g., overly broad permissions, insufficient audit logging).
• Lead AI pilot programs end-to-end, from scoping and stakeholder alignment through rollout, troubleshooting, feedback collection, and iteration.
• Engineer observability and compliance infrastructure, ensuring compliance logs from AI platforms end up in our SIEM.
• Own the operational mechanics of AI adoption tracking. This includes automating usage data pipelines into Snowflake and partnering with data analysts and domain teams (engineering, CX, etc.) who own their respective adoption metrics.
• Partner with Learning & Development and engineering teams to build and deliver AI training, prompt libraries, and enablement resources tailored to different roles and workflows.
• Embed with teams across the company to understand their workflows, identify where AI can accelerate their work, and just as importantly, where it shouldn't be used.
• Communicate AI strategy, risk trade-offs, and recommendations clearly to audiences ranging from junior engineers to C-level executives, including respectfully challenging perspectives when the data warrants it.
• Stay current with the rapidly evolving AI product landscape and proactively assess new capabilities (e.g., new platform features, agent frameworks) for security implications and business value.

What it takes:

• 7+ years of experience in security engineering, platform engineering, infrastructure engineering, or IT engineering.
• Experience building and presenting decision frameworks, risk assessments, or strategy recommendations to senior leadership.
• Ability to operate independently, setting your own strategy, building stakeholder relationships, and executing with minimal oversight.
• Strong communication skills across a wide range of audiences, from mentoring junior engineers to partnering with executives in strategy discussions.
• Proficiency in at least one object-oriented programming language (e.g., Python, Go, Ruby, Java) with the ability to build integrations, tooling, and automations from scratch.
• Hands-on experience administering or deeply integrating with AI/LLM platforms. Not just using them, but managing them at the platform level (e.g., building MCP servers, extending LLM functionality, managing enterprise AI admin consoles).
• Experience designing scalable internal systems and infrastructure. You think about solving categories of problems at the platform level, not building one-off solutions.
• Track record of owning company-wide programs that delivered measurable impact to downstream users or the business.
• Experience with observability or SIEM tooling (e.g., Datadog, Splunk) and building data pipelines for monitoring and compliance.

Nice to have:

• Understanding of LLM internals, including transformer architectures, tokenization, context window management, RAG patterns, prompt engineering techniques, and the security risks inherent to each (e.g., prompt injection, data leakage through context, output manipulation).
• Prior experience in an AI governance, AI enablement, or AI strategy role.
• Experience with observability or SIEM tooling (e.g., Datadog, Splunk) and building data pipelines for monitoring and compliance.
• Familiarity with security and compliance considerations specific to AI tooling, such as data residency, DLP policies for AI-generated content, agent access controls, and OAuth scoping for third-party integrations.
• Experience building internal enablement programs, whether training courses, documentation, or developer advocacy, that drove measurable adoption of new tools or practices.

Salary Range:

San Francisco: the pay range for this role is $204,000 - $280,500 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.

About this role

Faire is a company invested in the importance of design—as a Staff Product Designer you’ll join a close-knit, collaborative team that cares deeply about creating beautiful, intuitive experiences. Our team plays a central role in identifying and solving meaningful problems for our customers, designing for thousands of independent retailers and maker brands growing their businesses in our marketplace.

In this role, you’ll help shape Faire’s product alongside partners in research, engineering, product, data, and analytics. As a Staff Product Designer, you'll drive strategy, craft, and end-to-end experiences while supporting key business goals across both your pod and broader pillar work.

We’re looking for designers who excel across the full product development lifecycle, care about the details, and have a strong track record of shipping high-quality experiences. You bring a growth mindset and a genuine curiosity about our customers.

We're looking for candidates open to working in San Francisco, CA or New York, NY.

What you’ll do

• Define the vision by proactively identifying gaps and influencing roadmap prioritization. 
• Lead end-to-end design from deep discovery and rapid prototyping through polished execution and production. 
• Collaborate cross-functionally with engineering, product, and data teams to explore new paradigms 
• Tell powerful stories that connect design vision to tangible business and customer impact, inspiring alignment across teams and leadership.
• Push Faire’s design system forward through the lens of your work—evolving patterns, motion, and visual language that scale across the platform.
• Prototype fearlessly using modern tools to explore new ideas, test assumptions, and accelerate innovation.
• Mentor and elevate other designers—sharing your craft, process, and storytelling approach to raise the bar across the org.

Qualifications

• 10+ years of experience designing complex, high-impact digital products.
• Deep expertise in interaction design, visual craft, and systems thinking.
• Proven ability to lead with vision—influencing strategy and aligning cross-functional partners through compelling storytelling.
• Strong ability to connect design direction to business and customer outcomes.
• Comfort exploring and experimenting with new tools and workflows for rapid prototyping and AI-integrated design.
• A portfolio that demonstrates visionary product thinking, strong craft, and clear communication of impact.
• Experience contributing to and evolving large-scale design systems.
• A passion for collaboration, mentoring, and driving a culture of excellence in design.
• And, ideally, a sense of humor!

We value candidates that bring a range of experience from different industries and a variety of creative influences. If you’re a maker or retailer yourself and can bring first-hand experience and empathy for the small business and entrepreneurial journey, tell us your story!

Salary Range

San Francisco, CA and New York City, NY: the pay range for this role is $216,000 - $297,000 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. 

About this role

Faire is a company invested in good design—as a Lead Product Designer, you’ll join a tight-knit, collaborative team of designers who care deeply about creating beautiful and intuitive experiences. Our team is at the center of product work at Faire, designing experiences for the thousands of small retailers and maker brands growing their businesses in our marketplace.

In this role, you’ll help shape Faire’s product, working with team members across research, engineering, product, and customer service. You'll embed in a product team and focus on designing features and experiences for a strategic pillar of our product. As a design lead, you'll strive to understand our customers’ challenges and craft flows that help people move through our products with confidence.

We’re looking for team members that excel across the entire product development lifecycle, come with a growth mindset, and bring a genuine desire to learn about our customers.

We're looking for candidates open to working in San Francisco, CA or New York City, NY.

What you’ll do

• Define the direction by influencing what to build based on customer understanding and business context 
• Lead end-to-end design from deep discovery and rapid prototyping through polished execution and production. 
• Collaborate cross-functionally with engineering, product, and data teams to explore new paradigms 
• Tell powerful stories that connect design vision to tangible business and customer impact, inspiring alignment across teams and leadership.
• Push Faire’s design system forward through the lens of your work—evolving patterns, motion, and visual language that scale across the platform.
• Prototype fearlessly using modern tools to explore new ideas, test assumptions, and accelerate innovation.
• Elevate other designers by sharing your craft, process, and storytelling approach to raise the bar across the org.

Qualifications

• 6+ years of experience designing digital products and systems. Your previous work demonstrates an attention to detail and high quality visual, UX, systems design, and content design. 
• Expertise in interaction design, visual craft, and systems thinking.
• Strong ability to connect design direction to business and customer outcomes.
• Comfort exploring and experimenting with new tools and workflows for rapid prototyping and AI-integrated design.
• A portfolio that demonstrates visionary product thinking, strong craft, and clear communication of impact.
• Experience contributing to and evolving large-scale design systems.
• A passion for collaboration and driving a culture of excellence in design.
• And, ideally, a sense of humor!

We value candidates that bring a range of experience from different industries and a variety of creative influences. If you’re a maker or retailer yourself and can bring first-hand experience and empathy for the small business and entrepreneurial journey, tell us your story!

Salary Range

San Francisco, CA and New York City, NY: the pay range for this role is $184,000 - $253,000 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. 

About this role

We are seeking a highly motivated and detail-oriented General Ledger Staff Accountant to join our team. The ideal candidate will have experience with general ledger accounting and month-end close. In this role, you’ll support core accounting operations, ensure accurate financial reporting, and help scale processes. You’ll work cross-functionally and play a key role in maintaining the integrity of our financial data. This role will report directly to the Senior Accounting Manager. 

What you’ll do 

• Prepare and post journal entries and maintain the general ledger
• Perform monthly, quarterly, and year-end close activities
• Reconcile balance sheet accounts (cash, accruals, prepaid expenses, fixed assets, etc.)
• Support financial reporting and variance analysis
• Assist with audit preparation (external audits, SOX/internal controls if applicable)
• Partner with cross-functional teams (FP&A, Revenue, Tax, etc.) to ensure accurate accounting treatment
• Ensure compliance with GAAP and internal policies
• Ad hoc accounting projects and requests, as needed
• Identify and implement opportunities to use AI and automation to streamline workflows, reduce manual work, and enhance data insights

Qualifications

• Staff Accountant with 1-2 years of experience in general ledger accounting 
• Experience with NetSuite or a similar ERP system (Oracle, SAP) 
• Good understanding of GAAP
• Bachelor's degree or equivalent in Accounting
• Proficient in Microsoft Excel and other accounting software
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

What Success Looks Like

• Accurate and timely close cycles
• Clean reconciliations with clear supporting documentation
• Improved efficiency in accounting processes
• Strong collaboration with cross-functional partners
• Uses tools like AI to simplify work and help the team move faster

Salary Range

San Francisco: the pay range for this role is $88,000 to $121,000 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.

About the role

Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a technical owner in our team to work closely with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts and Software Engineers to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly. 

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of data engineering technical expertise and the product sense to be able to translate internal customer needs into practical solutions. They will have strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on GTM data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field. 

Nice-to-haves

• Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
• Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 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.

Data Science Internship — Multiple Teams

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems — spanning search, personalization, recommendation, and ranking — that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12–14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Teams

Search & Recommendation

• Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
• Develop rich user and item representations through embeddings, sequence models, and graph-based methods
• Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
• Apply exploration–exploitation strategies — including contextual bandits and reinforcement learning — to optimize recommendations under uncertainty
• Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
• Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

Fulfillment

• Develop ML models that predict product demand for brands leveraging Faire's fulfillment services, informing replenishment decisions, reducing stockouts, and improving inventory reliability across the platform
• Apply machine learning and optimization techniques to enhance the efficiency of Faire's fulfillment operations, including inventory placement, order packing logic, and operational workflow improvements
• Collaborate with the Discovery team and internal stakeholders to optimize surfaces that promote fulfillment products to retailers, driving discoverability and supporting the growth of Faire's fulfillment offering

Risk Management

• Build and refine models and heuristics across core risk domains — including underwriting, identity verification, returns, markdowns, and disputes & misuse — to reduce financial losses and unlock GMV growth
• Partner cross-functionally to develop scalable, data-driven frameworks that balance risk exposure with business opportunity

What You'll Do

• Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
• Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
• Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

• Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
• Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
• Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
• Experience working with large-scale or production datasets

Fulfillment

• Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
• Production-level experience building and deploying ML systems
• Working knowledge of statistical methods, including experimentation and causal inference
• Experience with SQL or other query languages preferred
• Genuine enthusiasm for tackling ambiguous problems and learning new tools and techniques

Risk Management

• Solid ML fundamentals with hands-on experience productionizing models using frameworks such as scikit-learn, XGBoost, or deep learning libraries
• Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
• Knowledge of statistical techniques including experimentation and causal inference
• Experience with SQL or other database querying languages preferred

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

#LI-DNI

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. 

About this role

We’re looking for a stellar marketing data analyst to use data to drive growth strategies and maximize ROI of growth channels across Faire. This person will serve as a key partner to strategic finance & marketing managers, owning things like marketing payback framework, planning and forecasting, lifecycle experimentation, marketing channel analyses, A/B testing and attribution over time.  Specifically, this individual will work on brand and retailer marketing analytics using attribution, A/B testing, and strategic analysis to either uncover opportunity areas for growth for marketing or to increase efficiency.

What you’ll do 

• Be an expert on Marketing Attribution. Manage attribution and data ETLs and partner across the org to ensure appropriate tracking of any new marketing initiatives
• Conduct analysis on attribution and generate proposals on how attribution could be improved (scalars, MTA etc.)
• Design and measure experiments focused on driving user behavior within the platform, on both sides of the business
• Build and analyze experiment results, developing actionable insights to be shared broadly
• Own various payback & ROI analyses for Faire's growth channels globally (Paid and Owned channels)
• Collaborate with strategic finance, performance marketing managers and product to set KPIs
• Be a key contributor and thought partner in building measurement models for various marketing efforts including event measurement and with DS on OOH measurement.
• Experience with distilling complex analyses to both technical and non-technical individuals
• Scope and conduct analyses to find actionable insight for marketing campaigns in order to drive high ROI growth for Faire
• Build and monitor various strategic dashboards with the goal of driving the measurement and understanding of impact of both Paid and Non-Paid growth efforts on the business
• Enhance existing models and related automated reporting to measure performance of core & new campaigns
• Propose spend growth/allocation decisions based on rigorous analysis, and communicate with key external stakeholders (F&S, Executives, Marketing Leadership)
• Develop business/technical domain expertise of one's broader team
• Contribute to strategic planning and direction of immediate team

Qualifications

• A Bachelor’s degree and 4+ years of experience in consulting, investment banking, and/or business operations at a high growth startup and/or marketplace business
• You are highly analytical and data-driven. You can complete complex analyses, define critical metrics, size opportunity areas, and measure and report on performance across the business. You enjoy analytical work and rolling up your sleeves to get to the right answer
• You have the ability to both lead through influence and execute extremely well 
• You have strong communication skills and the ability to synthesize at the right altitude 
• You can think across multiple dimensions of a business and P&L and can work cross-functionally to deliver results
• Ability to flex between analytical, strategic and operational aspects of the job
• You want to work in a fast-paced environment with constant change
• Knowledge of SQL required
• Knowledge of A/B testing best practices and measurement required

Salary Range

San Francisco, CA & New York City, NY: the pay range for this role is $128,000 - $176,000 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. 

About this role:

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights.

The team focuses on the following areas and capabilities:

• Data warehousing optimization, including performance, efficiency, cost
• Capabilities for data quality, metadata enrichment, lineage, privacy
• Tooling and capabilities to accelerate productivity of analytics subject matter experts; automation of analytics functions
• Development patterns and practices for foundational assets
• Elements of data security, privacy, and governance

The team also owns relationships with select infrastructure vendors.

We’re looking for:

• An experienced analytics engineer to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

What you’ll do:

• Partner with key internal customers of the analytics function across business verticals, Strategy, Finance, others to develop capabilities based on their needs
• Improve development patterns and guide the broader analytics function on evolution of foundational datasets
• Lead technical execution in building scalable data models and pipelines for key domains, defining architecture, feature requirements, roadmaps
• Tackle challenges of data quality, integrity, relevance, and other analytics related concerns, for accurate and reliable insights
• Plan and execute on technology projects that scale with our growth; contribute to our architecture with a focus on analytics
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical guidance and mentorship on difficult open-ended problems.

Qualifications:

• Strong SQL and Python skills and demonstrated competencies in designing well-architected data models and optimizing query performance
• Experience building and evolving platform / foundational datasets and enabling other business functions that consume them
• Analytics engineering experience with a focus on data modeling, large-scale data processing, and tool development for analytics or data science use cases
• Experience with Airflow, dbt or similar analytics workflow tools; Snowflake experience especially valuable
• Knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms
• Data warehousing experience at Petabyte scale
• Understanding of performance, capacity, cost trade-offs in data processing systems
• Strong communication skills
• A bachelor's degree in Computer Science / Engineering or equivalent industry experience

Technologies we use and teach:

• AWS
• Snowflake
• Airflow
• Spark
• Python
• Kotlin

Salary range:

Canada: the pay range for this role is $160,000 - $220,000 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.

About this role

We’re looking for an experienced Fraud Strategy Lead to help shape the strategies that protect the integrity of our community of brands and retailers. In this role, you’ll own end-to-end management of strategic fraud initiatives, translate company goals into team priorities, and act as a domain expert across the organization.

As a senior member of the Risk org’s Fraud & Abuse team, you’ll partner closely with leaders across Data Science, Engineering, Product, Legal and CX to advance fraud capabilities and deliver data-backed strategies that enable Faire to innovate while keeping our customers safe. You’ll spend most of your time on strategic work while mentoring others and elevating team performance.

This is an ideal role for someone who wants to operate as a recognized subject matter expert in fraud and risk, drive meaningful change to systems and policy, and influence how Faire thinks about fraud strategy.

What you’ll do

• Own end-to-end management of strategic fraud and abuse initiatives, translating company goals into team priorities and actionable plans that advance Faire’s fraud capabilities
• Drive process and systems improvements across the Fraud & Abuse function with measurable business and customer impact, autonomously resolving ambiguous, open-ended problems
• Serve as a recognized subject matter expert and go-to partner for complex fraud investigations and escalations across the company
• Partner with Data Science, Engineering, and Product to shape evolution of fraud tools, models, and features, using data-driven hypotheses to size opportunities and support proposals
• Design clear and effective documentation on strategic projects and initiatives; navigate multiple projects and competing priorities while ensuring stakeholders, timelines, and deliverables drive business impact
• Track north star fraud metrics, construct compelling narratives around their trajectory, and proactively diagnose and address deviations from goal
• Mentor and coach more junior team members, offering candid feedback delivered with empathy to help others learn and grow

Qualifications

• Bachelor’s degree and 5+ years of relevant experience in fraud, risk, trust & safety, or a related analytical field, including demonstrated ownership of strategic initiatives
• Deep fraud and risk acumen, with a track record of refining fraud capabilities and aligning them to company strategy
• Strong data analysis skills, including proficiency with data tools and risk data infrastructure (SQL required); able to develop data-driven hypotheses and use data to size opportunities and support proposals
• Demonstrated experience independently driving near-term priorities for a focus area, reframing problems from multiple angles to identify root causes and prioritize the right solutions
• Strong written and verbal communication skills, with the ability to tailor messages to the audience and present clearly, concisely, and at the right altitude, including with senior stakeholders
• Proven ability to manage end-to-end project execution across multiple workstreams, including dependencies, stakeholders, and risks

Salary Range

San Francisco: the pay range for this role is $144,000 to $198,000 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.

About this role

The People Systems Coordinator plays a key role in keeping our People systems and operations running smoothly as we scale. You’ll own the day-to-day administration of our core HR tools — primarily Workday and our workflow automation platform — ensuring employee data is accurate, workflows function reliably, and systems continuously improve.

This role sits at the intersection of People Operations and systems. Much of your work will happen behind the scenes, directly within our tools — managing updates, resolving issues, and maintaining the integrity of our data and processes. You’ll be trusted to independently handle core transactions, investigate when something doesn’t look right, and ensure our systems are working as intended.

Over time, you’ll have the opportunity to improve how we operate by identifying gaps, strengthening processes, and expanding automation across our People tech stack. If you enjoy working in systems, solving problems, and creating more efficient ways of operating, this role offers a strong path to deepen your impact.

What you'll do

• Own day-to-day administration of core HR systems like Workday and AI HR Ops tools
• Execute system updates and employee transactions with a high level of accuracy
• Troubleshoot and resolve issues that can’t be handled through existing workflows
• Identify and fix data issues, access problems, and broken processes
• Keep HR systems and workflows running smoothly and up to date
• Respond to People Ops tickets and support employees with system-related questions
• Maintain clear documentation and address recurring issues at the root cause
• Continuously improve processes and expand automation to help the team scale

Qualifications

Required

• 1-2 years of experience in an HRIS, People Ops, or HR Coordinator role
• Genuine appetite for learning and owning HR tech platforms — not just using them
• Strong data hygiene habits: consistent accuracy when touching employee records and system configurations
• Track record of improving processes and documenting them clearly
• Clear written and verbal communication; able to make complex processes simple for non-technical audiences

Nice to have

• Hands-on Workday experience: EIBs, report writing, field configuration
• Experience administering low-code HR workflow or ticketing tools (e.g. ServiceNow, or similar)
• Experience managing vendors or coordinating platform updates

Salary Range

San Francisco: the pay range for this role is $41.60 to $57.20 per hour.

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.

About this role

This position will be a key contributor to the tax team and will be responsible for providing income tax provision and direct and indirect tax compliance support, as well as process improvements to scale tax operations. This candidate should expect to work cross-functionally and collaboratively and manage multiple deliverables in a fast-paced environment. This position will report to the Head of Tax Reporting and Compliance.

What you’ll do

• The successful candidate will assist with domestic and international tax reporting and compliance. The role will also involve assisting with the tax aspects of business initiatives and product launches.
• Support the monthly close process, including the preparation of tax account reconciliations and transfer pricing calculations.
• Assist with the preparation of the quarterly and annual consolidated income tax provision and reporting under U.S. GAAP. 
• Support SOX compliance through documentation and timely performance of controls.
• Work closely with FP&A to support the quarterly/annual ETR and cash tax forecast processes.
• Work with internal and external partners to manage all aspects of outsourced U.S. federal, state and local income and indirect tax filings and international tax filings.
• Assist with tax authority audits, which includes coordinating timelines, requests, and responses throughout the audits.
• Work with external service providers to manage the Form 1099 and other information reporting requirements.
• Conduct tax research to analyze the income tax implications of new tax legislation or new business initiatives.
• Support special projects, such as R&D tax credit studies, due diligence for M&A and international expansion.
• Support the evolution of the tax reporting function, tax technology tools, and technological enhancements. In particular, the role will include a focus on automating repeatable processes and integrating AI solutions into the tax function. 
• Assist with ad hoc requests and projects as necessary.

Qualifications:

• 4+ years corporate tax compliance and accounting experience with a mix of public accounting and in-house experience in ASC 740 preferred.
• Bachelor's or Master's Degree in Accounting or Finance (or equivalent).
• Previous exposure to and a basic understanding of international tax concepts. 
• Experience supporting tax authority audits. 
• Proactive and resourceful team player with positive attitude and energy, close attention to detail.
• Excellent communication (verbal and written) and time-management skills.
• A strong attention to detail and analytical, organizational, and problem-solving skills.
• The ability to manage multiple projects and prioritize various projects.
• Experience in the technology industry or marketplace platform businesses.
• CPA is preferred.
• Proficient computer skills including strong working knowledge of Excel and aptitude to learn new software. 
• Experience with automating repeatable processes.
• Knowledge of NetSuite ERP, Google Suite, and Mode or similar tools.

Salary Range

San Francisco: the pay range for this role is $125,500 to $172,500 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.

About this role

Supply acquisition is pivotal to Fulfillment. This is an opportunity to shape how Faire's fulfillment experience drives brand acquisition and long-term growth. You'll own critical initiatives end-to-end — from analytical deep dives into fulfillment performance and brand health, to identifying new growth levers and translating them into concrete recommendations. You'll partner closely with sales, operations, and leadership to move from insight to action quickly. This is a high-visibility role where you'll regularly present performance, new findings, and strategic recommendations to Faire’s core leadership and your recommendations will shape how we win and retain the brands that power Fulfillment.

This is an ideal role for someone who wants to work as a high-impact individual contributor in a fast-paced, highly collaborative, and data-driven environment and have the opportunity to gain exposure to partnering with a variety of functions.

What you’ll do 

• Break down complex and ambiguous strategic problems to uncover actionable insights
• Develop, refine, and execute on go-to-market strategies
• Lead large cross-functional strategic initiatives that move company metrics in partnership with Product, Sales, Systems, Program Management, Marketing, etc.
• Identify opportunities, develop hypotheses, execute in-depth analyses and make recommendations to Faire’s leadership team based on your findings
• Own the most important metrics for our business by having deep intuition on how they are trending and surfacing the most salient strategic insights to drive them
• Provide thought partnership to cross functional teammates to ensure the organization is using data thoughtfully and correctly
• Develop effective and scalable operational processes and fill operational gaps

Qualifications

• 10+ years of relevant work experience in an analytical and strategic role across analytics, consulting, product, business operations, or finance
• You are a strategic problem solver. You can break down ambiguous problems and apply a first principles approach to solving them.
• You are highly analytical and metrics-focused. You can execute on complex analyses, define KPIs, size opportunity areas, and measure and report on performance across the business
• Advanced technical skill set and strong proficiency in Excel + SQL
• You are a strong communicator. You can crisply communicate actionable data-driven insights to all audiences.
• You have strong product and business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of product and business metrics.
• You are scrappy and resourceful. When something needs to get done, you always find a way to make it happen.
• You are 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.

Salary Range

San Francisco: the pay range for this role is $197,500 to $271,500 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.

About this role

Faire is looking for an IT Support Engineer to join our IT Operations team in San Francisco.  In this role, you'll deliver high-quality technical support to our employees while helping to scale and streamline IT services through automation, documentation, and process improvements.

This is more than a traditional support role. While you’ll be responsible for hands-on troubleshooting and equipment provisioning, we’re looking for someone who approaches problems with an engineering mindset - someone curious, proactive, and focused on impact. You’ll help design and improve support workflows, identify and resolve recurring issues, and work closely with our IT Engineering team to enhance our internal tools.

What you’ll do

• Serve as a point of contact for IT support for the San Francisco office and act as a global escalation point for complex or high-impact issues.
• Troubleshoot and resolve technical problems involving macOS devices, SaaS applications (Google Workspace, Slack, Atlassian, etc.), networking,A/V systems, and internal tools.
• Develop and document efficient, repeatable support workflows that improve employee experience and reduce manual effort.
• Create lightweight tools and automations (e.g., Python scripts, Jira automations) to improve IT team efficiency and service quality.
• Implement modern AI tooling to improve our service quality, speed, and accuracy. 
• Collaborate with IT Engineering to escalate issues, provide feedback, and contribute to improving the reliability and supportability of systems and tools.
• Get to the bottom of issues through root cause analysis.
• Contribute to internal documentation and end-user guides to enable self-service and reduce support load.

Qualifications

• 3+ years in an IT support or technical operations role, preferably in a high-growth or fast-paced environment.
• Strong diagnostic and troubleshooting skills across macOS and cloud-based business tools.
• Ability to work independently and proactively to identify solutions.
• Takes a thoughtful approach to problem-solving, focusing on long-term solutions rather than quick fixes.
• Excellent communication and organizational skills; able to clearly convey technical information to both technical and non-technical stakeholders.
• Experience supporting A/V and conference room systems (Zoom Rooms).
• Demonstrated ownership mindset and a proactive approach to problem-solving.
• Strong knowledge of networking troubleshooting.
• Experience with enterprise IT platforms such as Fleet, Okta, Atlassian, Google Workspace, and Slack.
• Comfortable lifting up to 20kg.
• Ability to travel within North America and Europe as needed, and to adjust work hours occasionally to support international collaboration.

Salary Range

San Francisco, CA : the pay range for this role is $100,000 to $137,000 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.

About this role

Faire’s quality, depth and breadth of supply is its strongest value proposition to retailers and our Brand Partnerships team is at the forefront of our success by ensuring that the best and most relevant brands are on our platform. You will be directly contributing to the company’s success by scaling our current supply and ensuring that we meet the needs of our retailers. We need an agile self-starter who can ramp quickly and help us manage our prospective brands and partnership opportunities. Faire’s goal is to be the default platform for brands to sell their products wholesale and for independent retailers to source products for their store. That means there will be no shortage of opportunity to learn and grow as we continue to build the company in the coming months and years.

What you’ll do 

• Learn and build an understanding of our sales process and collaborate with the team to build our brand directory
• Prospect/identify high-value brands that are a good fit for Faire’s retailers
• Directly contribute to our brand growth by qualifying inbound leads and applicant brands
• Identify customer needs and solve for gaps with creative outreach strategy & discovery including, but limited to: email copy, warm/cold calls, social media outreach, in-person events
• Relationship development with both brand partners as well as our Account Executive Sales team
• Have room to grow through special projects and into a full-fledged sales role or other opportunities within the company

Qualifications

Must Haves

• A Bachelor’s degree or equivalent professional working experience
• Passionate about our mission and working with small businesses -- many of whom are artisans and entrepreneurs -- and helping them thrive
• Exceptionally strong verbal and written communication skills
• Motivated, curious, action-forward, and leads with integrity
• Clear organization and time management skills for handling 100s of prospective brand accounts
• Driven to learn & interpret data through running reports through sales systems
• Meticulous attention to detail & strong judgment in assessing best brand fits for Faire
• Excited to join and contribute to a fast-moving, high-potential, culture driven environment & comfortable with change

Nice to Haves

• Experience with Salesforce or any Sales automation system (e.g. Salesloft)
• 1-2 years+ of retail or customer-facing work experience
• Seeking strong work culture + community
• Entrepreneurial mindset!

On-Target Earnings (OTE) Range

San Francisco: the pay range for this role is $70,500 to $97,000 per year.

This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future.

About this role

Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientist and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.

At Faire, the Data team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.

As an Applied AI/ML Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits. You'll also contribute to growing Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value. You'll collaborate closely with other Applied AI/ML Scientist, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data.

Our team already includes experienced Applied AI/ML Scientist and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for Applied AI/ML Scientist and machine learning, and you will help take us there! 

What you’ll do 

• Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable.
• Fulfillment: Fulfillment has the potential to improve wholesale buying for both retailers and brands by an order of magnitude. This role involves building ML models to forecast demand for the SKUs we should stock in our warehouses, and applying predictive models to optimize shipping logistics—improving reliability while reducing costs.

Qualifications

• An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc.
• Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning)
• Strong programming skills (Python, Java, Kotlin, C++)
• Knowledge of statistical techniques such as experimentation and causal inference
• SQL or other database querying experience preferred
• An excitement and willingness to learn new tools and techniques

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 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.

About this role

Product Marketing at Faire is a strategic function embedded across the product lifecycle. PMMs partner closely with Product, Design, Marketing, and Revenue to shape programs from the ground up, develop positioning and messaging, lead GTM strategy, and drive awareness and adoption. We have PMMs focused on each side of the marketplace: brands who sell on Faire, and the retailers who buy from them.

We're looking for a senior product marketer who can own a meaningful product area, build GTM strategy from scratch, and grow their remit over time as business needs shift. This is a role for someone who moves comfortably between strategy and execution, and who can bring clarity to ambiguous problems across a cross-functional team.

Positioning and messaging

• Develop deep customer understanding for your product area and translate those insights into clear, compelling positioning.
• Make complex product decisions feel simple to customers, whether that's a new feature, a program change, or an evolving value proposition.
• Ensure messaging lands consistently across all surfaces: in-product, email, help center, and sales enablement.

GTM strategy and execution

• Build and own end-to-end GTM strategy for your product area, from positioning through launch and adoption.
• Execute across multiple channels, sequencing customer education to drive behavior change at the right moments in the journey.
• Coordinate cross-functional enablement across Revenue, CX, Lifecycle, and other partners to bring GTM plans to life.
• Act as a customer-centric thought partner to Product, Design, Legal, and other stakeholders as your products evolve.
• Manage multiple product areas simultaneously, balancing depth on a primary focus with breadth across adjacent priorities.

Team and craft

• Serve as the marketing subject matter expert for your product partners, connecting the dots across product, sales, and marketing.
• Contribute to a culture of peer learning and craft development on the PMM team, including how we experiment with and adopt AI in our work.

Qualifications

Required

• 6+ years of product marketing experience, or an adjacent role with direct ownership of positioning, messaging, and GTM strategy for complex products.
• Track record of building and executing GTM plans from scratch across multiple channels.
• Strong communicator who can make nuanced product and business decisions legible to customers, sales teams, and executive stakeholders, and drive alignment across functions without direct authority.
• Uses data to size opportunities, measure impact, and pressure-test strategy.
• Experience conducting or directing customer research and translating findings into positioning.
• Comfortable operating in ambiguity and managing shifting scope as business priorities evolve.

Nice to have

• Experience in a marketplace, e-commerce, wholesale, or retail context.
• Background marketing to small business owners or other entrepreneur audiences.
• Familiarity with building thematic campaigns across product areas, not just siloed launches.

Salary Range

San Francisco: The pay range for this role is $148,000 - $203,500 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.

Note: We’re proactively building a pipeline of talented candidates for upcoming opportunities on our team. While this role may not be filled immediately, we’re excited to connect with candidates early and move quickly as hiring needs evolve.

About the Role:

The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love. Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what's in stock and what will sell.

As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement. You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system.

You’re excited about this role because...

• You will own the technical vision: Define the end-to-end architecture for Faire's search and discovery experience, ensuring it is fast, relevant, and deeply personalized.
• You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product.
• You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks.
• You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components.
• You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making.

What You'll Do:

• Architect Next-Gen Search: Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking.
• Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases.
• Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency.
• Launch AI-Driven Features: Develop systems like "Search Missions" that use offline pipelines and LLMs to recover failed search sessions through expanded queries.
• Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts.
• System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring.

Qualifications:

• Experience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects.
• Product Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical direction.
• AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrieval.
• Domain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
• Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
• Strategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmap.

Technologies We Use and Teach:

• Backend: Kotlin, Java 16, Hibernate, Guice, Jersey
• Search/Data: Elasticsearch, FAISS, Redis, DynamoDB
• Communication: Protocol Buffers, HTTP, JSON
• Infrastructure: AWS, Kubernetes, Buildkite, Datadog

Salary Range:

Canada: the pay range for this role is $190,500 - $262,000 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.

About the Role:

The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love. Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what's in stock and what will sell.

As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement. You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system.

You’re excited about this role because...

• You will own the technical vision: Define the end-to-end architecture for Faire's search and discovery experience, ensuring it is fast, relevant, and deeply personalized.
• You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product.
• You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks.
• You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components.
• You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making.

What You'll Do:

• Architect Next-Gen Search: Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking.
• Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases.
• Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency.
• Launch AI-Driven Features: Develop systems like "Search Missions" that use offline pipelines and LLMs to recover failed search sessions through expanded queries.
• Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts.
• System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring.

Qualifications:

• Experience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects.
• Product Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical direction.
• AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrieval.
• Domain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
• Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
• Strategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmap.

Technologies We Use and Teach:

• Backend: Kotlin, Java 16, Hibernate, Guice, Jersey
• Search/Data: Elasticsearch, FAISS, Redis, DynamoDB
• Communication: Protocol Buffers, HTTP, JSON
• Infrastructure: AWS, Kubernetes, Buildkite, Datadog

Salary Range:

San Francisco: the pay range for this role is $231,000 - $318,000 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.

About this role

We're looking for a senior product marketer who can own the go-to-market strategy for Faire Pay while growing into a broader product marketing remit over time. Product Marketing (PMM) at Faire is a strategic function embedded across the product lifecycle. PMMs partner closely with Product, Design, Marketing, and Revenue to shape programs from the ground up, develop positioning and messaging, lead GTM strategy, and drive awareness and adoption. We have PMMs focused on each side of the marketplace: brands who sell on Faire, and the retailers who buy from them.

This role sits on the retailer side, with a primary focus on Faire Pay. Faire Pay is a new way retailers can pay invoices on Faire, designed to offer savings and flexibility. We’re early in the life of this product offering for retailers and are looking for someone who can sharpen how we talk about Faire Pay, build the strategy to drive meaningful adoption, and guide how we grow and evolve the program thoughtfully over time. A key part of the role will be connecting Faire Pay's value to the broader suite of products, features, and payment terms that make Faire the best way to shop wholesale. 

Beyond Faire Pay, this person will cover other select high-priority retailer areas, growing and shifting their scope over time in line with our customers’ highest impact needs.

What you’ll do 

Faire Pay positioning and messaging

• Develop a deep understanding of how retailers finance inventory purchases and manage their financial health, and translate those insights into compelling positioning for Faire Pay.
• Develop clear positioning and messaging for Faire Pay that makes a complex financial product feel immediately intuitive and valuable to our retailer customers.
• Ensure messaging comes to life in a consistent and compelling way across all surfaces, including in-product, email, help center, and sales enablement.

Faire Pay product adoption strategy and execution

• Build a Faire Pay adoption strategy that drives meaningful awareness and usage, positioning it as a natural part of how retailers get the most out of Faire.
• Expand Faire Pay's reach beyond its current in-product presence by executing on a multi-channel GTM approach across email, community, and more.
• Coordinate enablement across Revenue and CX teams, and partner with Lifecycle to sequence retailer education and drive behavior change at key moments in the customer journey
• Serve as a customer-centric thought partner to Design, Product, Legal, and other stakeholders as Faire Pay evolves, developing a communications strategy that supports experimentation and iteration while ensuring retailers are always informed and well-served.

Other retailer priorities

• Own end-to-end GTM strategy for select other high-priority retailer areas alongside Faire Pay, with scope expected to shift as business and customer needs evolve.
• Act as the marketing subject matter expert for your product partners, connecting the dots across product, sales, and marketing.

PMM team

• Contribute to a culture of peer learning and craft development on the PMM team, including how we experiment with and adopt AI in our work.

Qualifications

Required

• 6+ years of product marketing experience, or an adjacent role with direct ownership of positioning, messaging, and GTM strategy for complex products.
• Experience marketing financial technology or financial products; comfort with high-comprehension categories where customer education and trust are central to adoption.
• Comfortable operating in ambiguity and building structure where there is not any yet.
• Exceptional communicator who can distill complexity into clarity and make nuanced product decisions feel simple to customers.
• Strong strategic thinker who can build a GTM plan from scratch, sequence it across channels, and align cross-functional stakeholders.
• Ability to manage multiple product areas simultaneously, balancing depth on a primary focus with breadth across other priorities.

Nice to have

• Background in loyalty, rewards, or subscription program marketing, especially navigating program changes with care for the customer relationship.
• Experience in marketplace, e-commerce, or wholesale/retail contexts.
• Familiarity with building thematic campaigns, not just siloed product launches.

Salary Range

San Francisco & New York: The pay range for this role is $148,000 - $203,500 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.

About this role

The Marketplace Operations (MOps) team at Faire is responsible for building scalable operational processes that help our brands and retailers succeed and drive long-term, sustainable marketplace growth. We are looking for an experienced Program Manager to support complex, cross-functional initiatives that sit at the core of marketplace operations. This is a highly execution-focused role that requires strong program leadership, sharp analytical and operational instincts, and excellent stakeholder management.

What you’ll do 

• Build and scale new programs from the ground up while also optimizing existing operational processes. You'll leverage the latest AI and workflow automation solutions to drive efficiency, accuracy, and long-term scalability where possible.
• Define success metrics and monitoring systems in partnership with Strategy & Analytics, ensuring program performance, accountability, and continuous improvement.
• Develop clear, repeatable Standard Operating Procedures (SOPs), decision models, and escalation paths that provide consistency and quality across programs.
• Work with BPO and vendor partners to ensure high-quality delivery at scale, including onboarding, training, performance oversight, and ongoing improvements.
• Partner cross-functionally with key teams -- including Strategy & Analytics, Strategy & Operations, Product, Engineering, and Data Science -- to align on goals, program design, and execution across discovery, pilot, and scale phases.
• Identify risks, surface insights, and drive day-to-day project coordination to keep programs on track and continuously improving.

Qualifications

• 5+ years of experience in program management or related fields (e.g., consulting, operations, project management or product operations), ideally within a technology, marketplace, or platform business.
• Experience managing cross-functional projects with measurable impact, including planning, execution, and stakeholder coordination.
• Exposure to scaling operations through a combination of workflow automation and orchestration tooling (e.g., Zapier, Workato, Airflow, Google App Script, etc.), AI solutions, and effective use of BPO/vendor partnerships.
• Excellent communication and stakeholder management skills; able to influence across technical and non-technical teams.
• Strong analytical skills, with comfort pulling, interpreting, and acting on large datasets using Excel/Google Sheets, and BI tools (Looker, Tableau, Mode; SQL familiarity is a plus).
• Ability to bring structure to ambiguity, manage competing priorities, and operate in a fast-paced environment.

Salary Range

San Francisco, CA: The pay range for this role is $130,500 - 179,500 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.

About This Role

Faire’s Risk team is seeking a highly motivated Verification Associate to analyze and verify small businesses. This role may include weekend work on a monthly basis. 

What you’ll do

• Verify small businesses (retailers and brands) using social media, geolocation data, or by requesting additional information from them as necessary
• Contribute towards the implementation of risk management policies, procedures, and tools
• Monitor Faire credit exposure by reviewing account balances and assigned credit limits
• Work with Sales and Support teams to streamline communication, improve efficiencies, and provide a world-class customer experience

Qualifications

• 1+ years of experience in financial services, tech, compliance operations, or related industry
• Ability to spot patterns from discrete and vague data points (e.g. social media, financial data, Faire transactional data)
• Strong written and verbal communication skills; ability to interact with customers in a clear and concise manner, primarily via email 
• Strong customer focus and the ability to balance Risk mitigation alongside a positive customer experience; demonstrated ability in conflict-resolution
• Strong analytical and decision-making skills
• Ability to work with others in a closely collaborative team environment
• Passionate, relentless resourcefulness and the ability to thrive at a fast-paced startup -- you’re willing to do what needs to be done for the success of your team and you are comfortable with change

Bonus

• Prior experience in Risk, Fraud, or Trust and Safety teams
• Experience working with various tools and systems including Zendesk, Mode, Notion
• SQL proficiency and data-driven analytic skills

Salary Range

San Francisco: the pay range for this role is $31.95 to $44.00 per hour.

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.

About this role

This is an opportunity to define and build our brand acquisition and growth strategy. You’ll lead critical projects end-to-end across analytical deep dives, strategic planning, new growth opportunity identification, and implementation. This is a high visibility role expected to regularly present performance, new insights, and recommendations to Faire’s go-to-market and core leadership. 

This is an ideal role for someone who wants to work as a high-impact individual contributor in a fast-paced, highly collaborative, and data-driven environment and have the opportunity to gain exposure to partnering with a variety of functions.

What you’ll do 

• Break down complex and ambiguous strategic problems to uncover actionable insights
• Develop, refine, and execute on go-to-market strategies
• Lead large cross-functional strategic initiatives that move company metrics in partnership with Product, Sales, Systems, Program Management, Marketing, etc.
• Identify opportunities, develop hypotheses, execute in-depth analyses and make recommendations to Faire’s leadership team based on your findings
• Own the most important metrics for our business by having deep intuition on how they are trending and surfacing the most salient strategic insights to drive them
• Provide thought partnership to cross functional teammates to ensure the organization is using data thoughtfully and correctly
• Develop effective and scalable operational processes and fill operational gaps

Qualifications

• 5+ years of relevant work experience in an analytical and strategic role across analytics, consulting, product, business operations, or finance
• You are a strategic problem solver. You can break down ambiguous problems and apply a first principles approach to solving them.
• You are highly analytical and metrics-focused. You can execute on complex analyses, define KPIs, size opportunity areas, and measure and report on performance across the business
• Advanced technical skill set and strong proficiency in Excel + SQL
• You are a strong communicator. You can crisply communicate actionable data-driven insights to all audiences.
• You have strong product and business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of product and business metrics.
• You are scrappy and resourceful. When something needs to get done, you always find a way to make it happen.
• You are 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.

Salary Range

San Francisco: the pay range for this role is $164,000 - $225,000 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.

About this role

As a Production Designer at Faire, you’ll join a collaborative team of creatives helping bring the Faire brand to life. In this role, which is a combination of production and visual design, you’ll support the Creative team in crafting brand assets that keep Faire’s daily business moving. You’ll report into our Sr. Brand Design Manager, get direction from creative leads, and coordinate with Marketing and Creative Operations to design assets for blog posts, presentations, campaigns, and more.

The ideal candidate is a high-energy, collaborative teammate who's passionate about creating value for small business communities around the world, using design to generate interest and foster conversion among our customers.

What you’ll do 

• Design high-quality marketing and sales collateral, blog post imagery, presentation decks, internal brand identities, data visualization, emails, and other branded assets
• Produce high-volume campaign and event assets using established templates and brand guidelines
• Translate creative briefs into polished assets and ensure visual consistency across deliverables
• Collaborate with multiple stakeholders, self-start on new projects, and manage quick timelines and shifting priorities
• Provide design support for cross-functional partners across Marketing, Sales, Product Marketing, Events, Workplace, and more
• Develop and maintain self-serve tools, templates, and resources that help scale Faire’s brand system and empower teams to create on-brand communications and scale design quality beyond the Creative team
• Leverage Al tools to optimize creative workflows and output quality

Qualifications

• 2-5 years of relevant design experience
• A portfolio showcasing strong design fundamentals in typography, hierarchy, layout, visual clarity, and a deep understanding of brand systems
• Ability to work efficiently within existing creative systems
• Excellent communication skills
• Understanding of how to communicate complex concepts visually
• Strong attention to detail
• Proficiency in Figma, Adobe Creative Cloud, and Google Slides
• Experience with motion design or animation
• Proven ability to navigate creative feedback and iterate quickly

Nice to have:

• Illustration experience
• Experience in B2B marketing or tech environments
• Experience leveraging AI and emerging tools to scale design systems and improve workflow efficiency

Salary Range

San Francisco, CA: the pay range for this role is $92,000 - $126,500 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. 

About this role

We are looking for a Strategy & Analytics Lead to drive better product decisions, faster. In this role, you’ll leverage a unique combination of skills including analytical rigor, strategic intuition, and execution to drive growth for our business. At Faire, you’ll have the chance to lead mission-critical projects end to end. You’ll be partnering cross-functionally with Product, Data Science, Engineering, Design and Finance teams to inform the strategic roadmap by generating insights and helping translate them into action. 

This is an ideal role for someone who wants to work as a high-impact individual contributor in a fast-paced, highly collaborative, and data-driven environment and have the opportunity to gain exposure to partnering with a variety of functions.

What you’ll do 

• Break down complex and ambiguous strategic problems to uncover actionable insights 
• Lead large cross-functional strategic initiatives that move company metrics in partnership with Product, Data Science, Engineering, Design, Finance
• Identify opportunities, develop hypotheses, execute in-depth analyses and make recommendations to Faire’s leadership team based on your findings 
• Help design and execute experiments, and extract learnings and insights from their results to inform roadmaps and strategy
• Own the most important metrics for our business by having deep intuition on how they are trending and surfacing the most salient strategic insights to drive them
• Provide thought partnership to cross functional teammates to ensure the organization is using data thoughtfully and correctly 
• Develop effective and scalable processes to enable yourself and the team
• Level up the Strategy & Analytics team through new and improved processes, training, coaching and more

Qualifications

• 8+ years of relevant work experience in an analytical and strategic role across analytics, consulting, product, or data science
• Advanced technical skill set and strong proficiency in Excel + SQL
• ​​Experience with data infrastructure, event logging, and/or algorithms/ML-based product a plus
• You are a strategic problem solver. You can break down ambiguous problems and apply a first principles approach to solving them.
• You are highly analytical and metrics-focused. You can execute on complex analyses, define KPIs, size opportunity areas, and measure and report on performance across the business
• You are a strong communicator. You can crisply communicate actionable data-driven insights to all audiences.
• You have strong product and business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of product and business metrics.
• You have a solid analytical foundation. You can use SQL and excel to analyze large datasets and have strong analytical rigor.
• You are scrappy and resourceful. When something needs to get done, you always find a way to make it happen.
• You are 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.

Salary Range

San Francisco: the pay range for this role is $197,500 - $271,500 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. 

About this role

We are looking for a Strategy & Analytics Senior Lead to drive better product decisions, faster. In this role, you’ll leverage a unique combination of skills including analytical rigor, strategic intuition, and execution to drive growth for our business. At Faire, you’ll have the chance to lead mission-critical projects end to end. You’ll be partnering cross functionally with Product, Sales, Operations, Marketing, and Finance teams to inform the strategic roadmap by generating insights and helping translate them into action.

This is an ideal role for someone who wants to work as a high-impact individual contributor in a fast-paced, highly collaborative, and data-driven environment and have the opportunity to gain exposure to partnering with a variety of functions.

What you’ll do 

• Break down complex and ambiguous strategic problems to uncover actionable insights
• Tackle large cross-functional strategic initiatives that move company metrics in partnership with Product, Sales, Finance, Operations, Marketing, etc.
• Identify opportunities, develop hypotheses, execute in-depth analyses and make recommendations to Faire’s leadership team based on your findings
• Own the most important metrics for our business by having deep intuition on how they are trending and surfacing the most salient strategic insights to drive them
• Provide thought partnership to cross functional teammates to ensure the organization is using data thoughtfully and correctly
• Develop effective and scalable operational processes and fill operational gaps
• Level up the Strategy & Analytics team through new and improved processes, training, coaching and more

Qualifications

• 8+ years of relevant work experience in an analytical and strategic role across product analytics, consulting, or business operations
• You are a strategic problem solver. You can break down ambiguous problems and apply a first principles approach to solving them
• You are highly analytical and metrics-focused. You can execute on complex analyses, define KPIs, size opportunity areas, and measure and report on performance across the business
• You are a strong communicator. You can crisply communicate actionable data-driven insights to all audiences
• You have strong product and business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of product and business metrics
• You have a solid analytical foundation. You can use SQL or Excel to analyze large datasets and have strong analytical rigor
• You are scrappy and resourceful. When something needs to get done, you always find a way to make it happen
• You are 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

Salary Range

San Francisco or New York City: the pay range for this role is $197,500 - $271,500 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. 

About this role

Lead and scale Faire’s core value programs — including Faire Source (Fulfilled by Faire), Faire Pay, Insider, and the operational systems that power shipping, risk, and retailer enablement — into durable growth engines that make wholesale buying on Faire simpler, more economical, and more compelling than any alternative.

As the Value Pillar Lead, you will own the product strategy and economic performance of this portfolio — operating with the judgment and discipline of a business line owner while remaining deeply grounded in product craft. You will balance customer experience, adoption, margin, capital efficiency, operational reliability, and risk, ensuring that each program scales with economic discipline and long-term durability.

You’ll build and lead a high-performing team of Product Managers and partner closely with Engineering, Operations, Finance, Risk, Data, Design, and Marketing to evolve and scale these capabilities. You will define the long-term product vision for how value programs and core systems integrate seamlessly into the retailer journey — increasing adoption, strengthening loyalty, and deepening Faire’s position as the preferred platform for wholesale purchasing.

What you’ll do

          1. Build and lead a high-performing Product Management team

        Hire, develop, and retain a world-class team of PMs. Raise the bar on product judgment, execution quality, and strategic clarity across the pillar.

          2. Scale and evolve Faire’s core value programs into durable growth engines

• Lead the continued evolution and scaling of Faire Source (Fulfilled by Faire), Faire Pay, and Insider – driving adoption, repeat usage, and long-term economic durability.
• Increase adoption and penetration across qualified retailers and brands
• Strengthen unit economics and margin resilience as programs scale
• Deliver differentiated value that increases retailer loyalty and share of wallet.   

          3. Strengthen and scale the core operational systems that power wholesale purchasing

• Own the performance and scalability of the systems that enable ordering, shipping, risk, and retailer enablement — ensuring reliability and retailer trust as volume and complexity increase.
• Improve shipping reliability and cost efficiency
• Optimize underwriting and risk performance while scaling volume
• Increase adoption and stability of POS integrations and enablement tools
• Drive per-transaction cost efficiency as GMV grows

           4. Make value programs intuitive and seamlessly integrated into the retailer journey

• Reduce complexity and design intuitive, high-performing adoption pathways across the retailer journey.
• Embed in-product adoption levers across checkout, cart, lifecycle, and cross-program surfaces
• Partner with Marketing and Growth to align messaging and education
• Increase attach rates and program comprehension

           5. Operate with GM-level economic ownership across the portfolio

• Manage the Value pillar as a coherent economic system, balancing growth, margin, capital efficiency, and risk — and making portfolio-level tradeoffs to optimize performance as programs scale.
• Operate with deep fluency in the economic drivers behind each program
• Continuously optimize growth, margin, and return on investment
• Align executive stakeholders on investment horizons and guardrails

          6. Identify and validate new growth opportunities within the Value pillar

• Proactively surface and rigorously evaluate new programs or structural improvements that strengthen wholesale purchasing on Faire.
• Develop clear hypotheses and economic cases grounded in retailer needs and marketplace dynamics
• Pilot and validate high-potential initiatives through disciplined experimentation
• Build executive conviction around the most promising long-term growth vectors

Qualifications

• Exceptional product instincts – A world-class product thinker who consistently designs simple, compelling experiences that change customer behavior. Holds a high bar for quality, clarity, and usability in high-impact flows, demonstrates strong creative judgment, and makes sharp trade-offs between completeness, simplicity, and speed.
• Leadership – Leads through constant change and ambiguity, keeping teams highly motivated through ups and downs. Strikes the right balance between shielding the team and creating accountability for success.
• Data-driven and analytical – Can break down complex economic and operational systems into their component parts and use data and logic to accurately diagnose root causes. Demonstrates fluency in unit economics, margin drivers, and capital constraints, and uses data effectively to inform strategic decisions.
• Sought after manager, mentor, and coach – Proven track record of hiring, developing, and retaining world-class product managers and managers of product managers. Past direct reports are passionate about working with them.
• Growth mindset – Willing to accept feedback and seek ways to get better every day.
• Relentlessly resourceful – Won’t quit and is hungry to do whatever it takes to make an impact on the community. Is willing to get their hands dirty and dive into the details to help their teams overcome obstacles.
• Strategic thinking and business acumen – Makes clear, well-reasoned calls to prioritize work that creates customer value and drives business impact. Synthesizes customer, financial, and operational inputs into product strategy. Strong intuition for when to pursue incremental improvements vs. taking larger swings.
• Great collaborator – Builds strong relationships across functions, both technical and non-technical. Has a proven track record of aligning disparate parts of an organization.
• Excellent communicator – Distills complex technical and economic decisions into simple, concise language to drive decision-making.
• Kind – Demonstrates compassion and generosity towards everyone.

Salary Range

San Francisco, CA: The pay range for this role is $304,000 - $418,000 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.

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 product at a high-growth tech startup or as a startup founder with experience working on complex Search systems
• 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.

About this role

You will own one of the most impactful levers for brand success and growth: pricing. As the Staff PM for Brand Pricing, your mission is to help brands offer compelling, competitive prices that drive sales — building the tools, insights, and experiences that make it easy for brands to set the right prices, and for retailers to identify the smartest buying choices for their stores.

Pricing is a complex problem that sits at the intersection of brand economics, retailer buying behavior, and marketplace dynamics. You'll design products that help brands understand how their pricing is performing, surface opportunities to grow their sales through smarter pricing decisions, and reduce the friction that gets in the way of keeping prices up to date. You'll work closely with engineering, data science, operations, and go-to-market teams — and bring a sharp point of view on where to invest to drive the most meaningful outcomes for brands and the marketplace.

If you love complex marketplace dynamics, have strong intuitions about how pricing affects buyer behavior, and get excited about building products that create real, measurable value for small business owners — this is the role for you.

What you’ll do 

• Deeply understand both our brand and retailer customers so that you can build the strategies and frameworks that define how Faire thinks about pricing across the marketplace — balancing brand economics, retailer trust, and long-term marketplace growth.
• Own the pricing roadmap end-to-end. Define strategy and sequencing across insights (helping brands understand their pricing performance), tools (making it easy to keep prices current and competitive), and the underlying data that powers it all.
• Build brand-facing products that drive growth. Create intuitive tools and workflows — from price management interfaces to intelligent recommendations — that make it easy for brands to act on pricing opportunities and grow their sales on Faire.
• Invest in data foundations. Partner with engineering and data science to build the data infrastructure that powers pricing insights and recommendations at scale.
• Be the voice of tradeoffs. Use analytics and frameworks to guide decisions about where to invest, when to build vs. buy, and how to balance brand experience with marketplace outcomes. Present clear recommendations to senior leadership.

Qualifications

• Bachelor’s degree or equivalent experience.
• You have 8+ years of experience in product at a high-growth tech startup or as a startup founder.
• You are good at deeply understanding customer needs and underlying motivations, especially in spaces where customers aren’t great at predicting how changes will impact their behavior 
• You’re an inspiring leader who is excited about the day-to-day of understanding our customers and working with a strong team to build improvements for them.
• 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.

About this role

You will be the product leader for high-impact FinTech & Ops initiatives that drive efficient growth across Faire’s marketplace through financial technology and the enablement of our operational teams. As a Staff PM you’ll own product strategy and delivery for payments and financial infrastructure, decision-making tools and frameworks in the areas of risk, identity and underwriting, customer support, returns and resale flows. You will also look after the shared technology and experimentation infrastructure that ties them together. Your job is explicitly dual-mandate: First, you’ll empower our operational teams to reduce cost by expanding automation while maintaining or improving customer experience. At the same time, you’ll redeploy those gains into growth by improving policies, reducing friction in information collection and deploying human resources towards the most complex cases (capital, curated experiences, high-touch recovery). You will be managing a portfolio of bets, operate at the intersection of finance, ops and CX, run rigorous experiments that trade off efficiency vs. growth and drive high single digit improvements in annualized contribution profit.

What you’ll do

• Own roadmap & outcomes. Define a 6–12 month roadmap balancing efficiency experiments across the portfolio (payment routing, customer support contact rate reduction, Identity auto-decisioning, returns economics) with growth investments (capital pilots, curated onboarding, premium phone support) and platform investments to make our operational teams more effective at self- serving during iteration. You’ll be accountable for high single digit % Contribution Profit uplift.
• Design and run experiments. Lead rigorous A/B, cohort and holdout experiments with pre-specified success criteria that measure CP, CX risk and incremental GMV/LTV.
• Lead decisioning product work. Co-own returns/ markdowns, underwriting and IDV policy design, payment routing rules, limit adjustments. Deliver low- latency decision APIs, deterministic rulesets + ML integrations, and recoverability controls. 
• Improve payment economics. Execute multi-provider routing and adoption of lower-cost payment rails (e.g., bank transfers) to reduce fees and free-up margin for growth investments.
• Expand self-solve modalities in support. Reduce contact rate without harming customer satisfaction by expanding the availability and effectiveness of our virtual assistant for customer support. Empower operational teams to drive iteration and improvement with limited engineering bandwidth.
• Scale returns & resale economics. Redesign and implement improved returns policies, partner on liquidation/resale flows, and recover margin to fund growth.
• Be the voice of tradeoffs. Use a documented rubric to decide when to automate vs. invest in human-driven growth; when to build vs buy technology; where to invest across the portfolio; how to manage growth vs efficiency investments. present tradeoffs and data-driven recommendations to senior leadership.

Collaboration & Stakeholder Management

• Collaborate across a broad base of senior stakeholders across key operational and product teams: Finance (payment economics, capital funding), Risk & Legal (underwriting guardrails, compliance, identity verification), CX (virtual assistant quality and adoption), Operations & Fulfillment (returns/resale flows), Engineering & Data Science (platform, models, instrumentation), Design/ UX (user experiences around contacting operational teams, self solving and inputting key information), Product Marketing (capital rollouts, customer touchpoints).
• Empower operational teams to drive impact in their respective areas through systems that allow them to iterate on launches without needing consistent support from the product development organization
• Represent the product development organization in key operational forums across the company (e.g. reserve setting meeting, Operations business reviews).

Qualifications and Competencies
Required

• Experience: 8+ years product management experience; prior Staff or equivalent senior PM experience preferred.
• Domain: Demonstrated experience on marketplace products and financial technology (payment processors, routing strategies, merchant economics, or customer/merchant capital programs).
• Operational focus: Demonstrated track record of excelling in working with operational teams such as finance, payments, underwriting/IDV, risk/recovery or operations products - both as users and partners.
• Analytical excellence: Deep comfort with experiment design (A/B, holdouts), causal inference, cohort analysis, and metric attribution; ability to translate analysis into product decisions.
• Cross-functional leadership: Proven ability to lead complex, cross-org initiatives and influence senior stakeholders (Finance, Risk, Legal, CX, Ops, Eng).
• Outcome orientation: Track record of shipping products tied to measurable business outcomes (contribution profit, GMV, LTV, cost-to-serve).
• Cross-Functional Partnership: Track record of partnering effectively with Design, Research, Data, and Engineering to bring elegant, performant solutions to market.
• Customer Centricity: Passionate about understanding user needs, behaviors, and decision-making processes to design products that create measurable customer and business value.
• Influence & Communication: Exceptional communicator and collaborator, able to influence across technical and creative disciplines and align diverse stakeholders from peers to executives around a shared vision.

Preferred

• Portfolio management: Experience managing and prioritizing across portfolios of different products.
• Machine learning / automation: Experience with machine learning/ artificial intelligence.
• Warehousing experience: Familiarity with B2B marketplace flows, returns/resale flows, or logistics.

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.

About this role

You’ll work on the Brand side across a variety of initiatives to help brands succeed on Faire. If you love balancing customer needs with difficult marketplace tradeoffs, simplifying and reimagining workflows, and finding ways to motivate customers to take action, this is the place for you. We are looking for an outstanding product manager who will collaborate closely with engineering, design, data science, ops, and go-to-market teams to drive our business forward.

What you’ll do 

Deeply understand our customers, build strategies that anticipate and support their needs, and execute rapidly and with an eye to metrics impact to improve their experience 

• Build programs to support customers alongside shipping great technology products 
• Understand the business equation and flywheel that make our marketplace work – and accelerate it 
• Work with and learn from a broad range of world-class leaders across go-to-market, ops, and finance, as well as engineering, design, and data science 
• 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 product at a high-growth tech startup or as a startup founder. 
  • You’re an inspiring leader who is excited about the day-to-day of understanding our customers and working with a strong team to build improvements for them. 
  • 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. 
  • You have a passion for optimizing processes. You get satisfaction from seeing how something is being done and finding ways to make the process faster, easier, and more efficient.

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.

About this role

We’re looking for an exceptional HR Business Partner to join our People team and support our Operations and Revenue  Teams. In this role, you will partner closely with our individual contributors, managers and senior leaders on a variety of people related topics, including employee relations, performance, and engagement - just to name a few! You will also have a deep focus on org health, key metrics, and organizational design and support individual contributors and managers on people related topics. The ideal candidate has experience in executing across various HR areas and exhibits organization, critical thinking, and high emotional intelligence. 

What you’ll do 

• Execute on both a short- and long-term People strategy that directly supports and enables the business' objectives.
• Provide coaching to senior leaders and front line managers on topics covering the employee life cycle; leverage data, existing Faire policies and your own business/HR acumen to ensure fairness and consistency in decision making
• Make data driven recommendations to stakeholders to drive employee engagement and retention across key partner teams
• Support managers on performance management topics, while balancing legal requirements with business needs
• Build credibility and trust among employees. Resolve employee concerns through compassion, a systematic approach, clear documentation and follow-through.
• Partner with the broader People team to ensure high quality implementation of critical HR operating rhythms such as performance management and compensation planning, leveraging resources as appropriate.
• Develop and drive strategies to attract, develop, engage and retain strong and diverse talent.

About you

• 2+ years in an HRBP-specific role, with 5+ years experience in a dedicated HR focused role and experience in a fast paced environment.
• Understanding of HR programs including compensation, performance management, and leadership development.
• Experience implementing creative talent strategies tailored to your client groups, addressing retention and development needs.
• Comfortable with ambiguity and being a part of deeply complex strategy discussions. Well organized and independently driven.
• Analytically driven; regularly utilize qualitative and quantitative approaches to problem solving and root cause analysis.
• Excellent influencing skills at all levels in the organization and flexibility to be proactive in a fast-paced, ever changing environment. Proficiency in making timely, effective, ethics-based decisions.
• Knowledge and experience in technology businesses including a familiarity with global HR practices and policies.
• Unquestioned integrity; resolve, presence, and sureness

Salary Range

San Francisco : the pay range for this role is $116,000 to $159,5000 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.

About this role

We're looking for a strong analytical thinker to build and own Faire's Supply Chain and Inventory forecasting for the Fulfilled by Faire program from the ground up. Faire's brands rely on us to be more than a sales channel — we're a business partner. A core part of that means helping brands stay in-stock, manage their inventory effectively, and never miss a sale. As the owner of Supply Chain Analytics, you'll sit at the intersection of data, operations, and brand success. You'll own the translation of our demand forecasting models into concrete, brand-level inventory guidance, monitor the health of brand inventory across the marketplace, and drive meaningful reductions in out-of-stock (OOS) rates that directly influence brands’ sales and success on Faire.

This role is for someone who is equal parts data practitioner and problem-solver — someone who loves getting into the weeds of a complex dataset, and isn't satisfied until the insights they surface actually move the needle for thousands of brands.

What you’ll do 

• Own inventory forecasting for Faire's brand base — translate demand model outputs into actionable inventory replenishment guidance and purchase recommendations for brands.
• Build and maintain supply chain analytics infrastructure — develop and own the data pipelines, dashboards, and models that track inventory health, turn rates, and OOS risk across the catalog.
• Build and maintain demand forecast - build and own the demand forecast with 3PL warehouse operator so they can drive staffing and forecast planning based on order and inventory volume movements; and to meet our aligned upon SLAs
• Lead OOS monitoring and intervention — proactively identify brands and SKUs at risk of going out of stock, quantify the GMV impact, and design scalable interventions (alerts, nudges, tooling) in partnership with Product and GTM.
• Define and track inventory health metrics — own key KPIs including OOS rate, inventory coverage, stockout frequency, and false OOS rate; set goals and report progress to leadership.
• Partner cross-functionally — work closely with GTM and Ops teams (the primary internal customers of inventory guidance), as well as Data Science and Finance, to ensure outputs are actionable, trusted, and integrated into operational workflows.
• Develop scalable analytical frameworks — build reusable models and methodologies for segmenting brands by inventory risk profile and tailoring guidance accordingly.
• Communicate findings with clarity — synthesize complex supply chain dynamics into crisp, decision-ready narratives for both operational teams and senior leadership.

Qualifications

• 3–6 years of experience in supply chain analytics, demand planning, operations analytics, or a closely related analytical discipline.
• Strong SQL skills — you can independently query large, complex datasets and structure analyses from scratch.
• Hands-on experience with forecasting or demand planning — you've worked with statistical demand models (e.g., time series, regression-based) and understand how to translate forecast outputs into operational guidance.
• Proficiency in Python or R (preferred) for data wrangling, modeling, and workflow automation.
• Comfort with BI and visualization tools — Tableau, Looker, Mode, or similar.
• Experience with inventory management concepts — safety stock, reorder points, lead times, stockout costs, service levels, and days of supply.
• Strong business acumen — you connect analytical work to business outcomes and can prioritize ruthlessly based on impact.
• Excellent communicator — written and verbal; you make complex topics accessible to non-technical audiences.
• Collaborative and low-ego — you thrive working across functions and are comfortable operating in ambiguity.

About this role

The Program Manager will be a critical partner to Faire’s Revenue organization, driving the effectiveness of our processes, systems, and cross-functional execution. This role works closely with Retailer Sales leaders, Strategy & Analytics, Revenue Systems, and Enablement to ensure we are prioritizing the highest value customers and enabling our teams to execute seamlessly.

As a program manager, you will:

• Translate business needs into clear requirements for Revenue Systems and other partners to execute against.
• Partner with Revenue Management to prioritize initiatives, with S&A to scope strategies, and with Enablement to drive consistent communication and adoption.
• Ensure individual contributors across Revenue have the tools, workflows, and support needed to operate efficiently and effectively.
• Build quarterly initiative roadmaps with long-term goals in mind

What you’ll do 

Program Strategy

• Provide Global Program Management Support for the Retailer Sales Functions at Faire

       Ex: Evaluate and drive towards impact by measuring adoption and conversion improvements associated with related programs and projects

Systems & Processes

• Drive the Mid Market Top of Funnel strategy: supporting the Book Build infrastructure and processes, centralizing the email & call strategy, partnering with Data science on scoring and scraping projects
• Ex: creating enrichment workflows, optimizing systems and processes for different parts of the sales funnel based on team need 
• Identify future process improvements and inefficiencies in both the systems and workflows to help reps more effectively do their jobs (i.e. are hands on with the customers, shadowing calls and workflows, are curious and have a bias for action) 

       Examples: Run and interpret end of year timestudy, improve and maintain the Salesforce Homebase hub, create feedback loops, managing change 

• Are a systems and process expert: Salesforce, Salesloft, Orum, Gong and understand how these tools can be best utilized by the team, continuing to improve upon them

       Ex: test and drive adoption of the Unify outreach tool 

Cross-Functional Alignment

• Prioritize and partner with Systems, S&A, Enablement, and Managers on the Quarterly initiative roadmap ensuring that all deliverables are met, key risks and dependencies are flagged, and communication is clear throughout the quarter

       Ex: Drive planning brainstorming sessions, cross-functional alignment, rep testing groups

Qualifications

• 4+ years of relevant experience project or program management or working on a success/sales team
• You’re a strategic architect and have a product management mindset – you are able to think broadly about long-term solutions to problems that improve the experience for all teams
• You’re a cross-functional guru – you can communicate with teams across the organization (Sales, Success, S&A, Enablement, etc.) to understand stakeholder needs and translate them into solutions and are growing into communication with external stakeholders (Product, Marketing, Engineering, or Data Science)
• You’re a clear communicator — you are effective at making the complex simple - and in specific technical detail when needed to ensure we build through the detail
• You’re passionate about serving our community - you believe in Faire’s mission to help local retailers and independent brands succeed
• You’re relentlessly resourceful - Won’t quit on a problem because the solution is not obvious
• You’re kind – you lead with kindness amongst your team and partners, always assuming good intent with those you engage with.
• You’re able to project manage and prioritize resources to execute against a deliverable, and you are able to assign work effectively to partners and follow through to execution
• You are able to influence and architect priorities across the team you are supporting

Salary Range

San Francisco, CA: The pay range for this role is $116,000- $159,500 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.

About this role

We're looking for a Systems and Automation Lead to join our Strategic Finance  team. In this role, you'll be the Pigment platform owner and systems architect, partnering closely with Finance and Data teams to design, build, and optimize our financial planning ecosystem. You'll play a critical role in our IPO readiness journey by delivering scalable systems solutions that power our forecasting, reporting, and strategic decision-making.

This role sits within our Finance and Strategy org but will include deep embedded partnership with Finance Data leadership o. You'll be at the intersection of finance, data, and technology, translating business requirements into elegant technical solutions while continuously improving our planning infrastructure.

What you’ll do 

• Own the Pigment platform end-to-end, including model design, formula logic, system configuration, and integration architecture
• Implement and deliver key initiatives from our systems roadmap, collaborating with the systems team and cross-functional partners to bring projects from concept to completion
• Lead monthly data imports, validations, and actuals loading processes to ensure accuracy and consistency across planning applications
• Design and maintain robust data pipelines that connect Snowflake, Pigment, and downstream reporting tools
• Act as the technical advisor to Strategic Finance on planning workflows, model optimization, and system capabilities
• Develop dashboards and reporting ecosystems that surface key business insights, drive end-user adoption, and support planning processes
• Build self-service analytics capabilities that empower finance teams to access and analyze data independently
• Train and enable finance teams through development of training materials, office hours, and documentation that drive adoption, confidence, and best practices
• Experiment with AI solutions to automate workflows, improve accuracy, and elevate the speed and impact of Strategic Finance operations
• Stay current on Pigment product releases and industry best practices, proactively identifying opportunities to leverage new capabilities

Qualifications

• 3-5 years of experience in financial systems, FP&A, business systems, or data-focused roles in a SaaS, high-growth, and/or B2B environment
• Proven expertise building and maintaining financial planning tools such as Pigment, Anaplan, or Adaptive—including model design, formula writing, and system configuration
• Strong technical foundations in SQL or similar languages, with solid understanding of data flows, integrations, and governance across finance systems
• Track record of translating business needs into scalable system solutions and driving projects from concept to adoption
• Excellent communication skills with ability to explain technical concepts to non-technical stakeholders and build strong cross-functional relationships
• Self-starter mindset with ability to manage multiple priorities, navigate ambiguity, and drive initiatives independently

Preferred Qualifications

• Experience working with Pigment specifically; driven implementations and integrations in a high-growth or pre-IPO or B2B SaaS environment
• Familiarity with Mode for data visualization and Snowflake data warehouse to support reporting and insights
• Understanding of FP&A processes, SaaS metrics and financial modeling principles
• Experience with process automation, scripting or workflow tools
• Background supporting IPO readiness initiatives or public company reporting requirements
• Exposure to AI/ML tools for finance automation and workflow optimization

Salary Range

San Francisco and New York : 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.

About this role

We’re looking for an experienced Trust & Safety (T&S) Strategy Lead to help protect the integrity of our marketplace and the community of brands and retailers that depend on it. In this role, you’ll own the strategy and execution for keeping Faire’s platform safe and trustworthy, ensuring effectiveness of T&S detection systems and enforcement frameworks. 

As the team’s first strategy hire, you’ll play a foundational role: building and scaling enforcement programs and policies from the ground up, and helping set the strategic direction for how T&S operates as Faire grows. You’ll operate as a senior individual contributor with meaningful autonomy - defining and driving strategic initiatives, partnering deeply with Engineering, Data Science, and Legal, and translating complex data into the clear, actionable recommendations that shape how we protect the platform.

This is a rare opportunity to build something from scratch in a space that matters. If you thrive at the intersection of strategy, data, and cross-functional collaboration, and you want to own end-to-end outcomes on a problem that directly impacts tens of thousands of independent businesses, we’d love to talk.

What you’ll do

• Define and drive end-to-end trust & safety strategies that protect platform integrity, monitor and contribute to improving the effectiveness of detection systems, and ensure brands meet Faire’s Terms of Service
• Autonomously resolve complex, ambiguous problems, reframing issues from multiple angles to identify root causes and implement scalable solutions
• Make sense of large, complex datasets to develop hypotheses, size opportunities, and produce clear, data-backed recommendations that inform team priorities and leadership decisions
• Partner closely with Engineering, Data Science, and Product teams to scope, build, and enhance tooling and systems that improve T&S detection and enforcement capabilities
• Serve as a domain expert and key cross-functional collaborator, building trust with stakeholders across the business and influencing alignment on strategic priorities
• Own near-term and longer-range priorities within T&S, translating company goals into actionable plans with clear milestones and measurable outcomes
• Mentor and elevate teammates, contributing to a high-performing, collaborative team culture

Qualifications

• Bachelor’s degree and 5+ years of relevant experience in a risk, operations, strategy, or analytical role within a fintech or marketplace environment
• Demonstrated ability to navigate ambiguity and independently own and execute strategic initiatives end-to-end, with measurable business or platform impact
• Strong data acumen - able to navigate complex datasets, develop and test hypotheses, and translate findings into compelling proposals and recommendations (SQL proficiency required)
• Experience partnering with Engineering, Data Science, or Product teams to drive systems and tooling improvements
• Excellent written and verbal communication skills, with the ability to tailor messages to audience, craft persuasive narratives, and present confidently to senior stakeholders
• Background in trust & safety, policy, or risk is a plus but not required; we care more about your analytical rigor, strategic thinking, and collaborative approach

Salary Range

San Francisco: the pay range for this role is $144,000 to $198,000 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.

About this Role

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you’ll help drive the ML algorithm strategy and system design behind one of the most critical levers for customer value and company growth—Search Ads. You’ll lead the advancement of real-time systems that decide which ads to show for a query, where to place them, and how to optimize for relevance, marketplace health, and advertiser outcomes. This role mirrors many of the technical expectations of Faire’s organic Search roles (modern NLP/LLMs, query understanding, real-time ranking), while operating in an ads environment with auctions, budgets, and pacing constraints.

You’ll operate at the forefront of algorithms—combining large language models, natural language processing, query understanding, deep learning, and structured behavioral data to deliver highly relevant sponsored results for any given query.

What You'll Do

• Own and evolve the Search Ads relevance stack—spanning query understanding, targeting, candidate generation, multi-stage ranking, and calibration—while meeting stringent latency and reliability goals.
• Design and productionize ML models that improve sponsored-result relevance and personalization, using a blend of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features.
• Partner closely with engineering and product to connect relevance improvements to ads marketplace outcomes (e.g., conversion, long-term retailer experience, advertiser ROI), using rigorous offline evaluation and online experiments.
• As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be—not just how they’re built.
• Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest).

Qualifications

• 4+ years of experience building and shipping ML systems in production, with meaningful experience in search, recommendation, or ads ranking/retrieval.
• Hands-on experience with modern deep learning tooling (e.g., PyTorch) and familiarity with vector search / embedding-based retrieval concepts (e.g., Faiss, ScaNN, Pinecone).
• A strong track record of productionizing models that blend LLMs (e.g., BERT / GPT-class) with structured features to drive relevance and personalization.
• Product-focused mindset and a bias toward execution—moving quickly from research to measurable user and business impact.
• Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves

• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Ability to quickly implement state of the art algorithms from an academic paper

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 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.

About this Role

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you’ll help drive the ML algorithm strategy and system design behind one of the most critical levers for customer value and company growth—Search Ads. You’ll lead the advancement of real-time systems that decide which ads to show for a query, where to place them, and how to optimize for relevance, marketplace health, and advertiser outcomes. This role mirrors many of the technical expectations of Faire’s organic Search roles (modern NLP/LLMs, query understanding, real-time ranking), while operating in an ads environment with auctions, budgets, and pacing constraints.

You’ll operate at the forefront of algorithms—combining large language models, natural language processing, query understanding, deep learning, and structured behavioral data to deliver highly relevant sponsored results for any given query.

What You'll Do

• Own and evolve the Search Ads relevance stack—spanning query understanding, targeting, candidate generation, multi-stage ranking, and calibration—while meeting stringent latency and reliability goals.
• Design and productionize ML models that improve sponsored-result relevance and personalization, using a blend of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features.
• Partner closely with engineering and product to connect relevance improvements to ads marketplace outcomes (e.g., conversion, long-term retailer experience, advertiser ROI), using rigorous offline evaluation and online experiments.
• As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be—not just how they’re built.
• Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest).

Qualifications

• 2+ years of experience building and shipping ML systems in production, with meaningful experience in search, recommendation, or ads ranking/retrieval.
• Hands-on experience with modern deep learning tooling (e.g., PyTorch) and familiarity with vector search / embedding-based retrieval concepts (e.g., Faiss, ScaNN, Pinecone).
• A strong track record of productionizing models that blend LLMs (e.g., BERT / GPT-class) with structured features to drive relevance and personalization.
• Product-focused mindset and a bias toward execution—moving quickly from research to measurable user and business impact.
• Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves

• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Ability to quickly implement state of the art algorithms from an academic paper

Salary Range

San Francisco: the pay range for this role is $165,500 to $227,500 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.