Jobs - Jobs4Americans

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role:

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.

This role is for a highly experienced technical leader specializing in experimentation infrastructure.

This role will influence and interact with all users of experiments functionality at Faire. From product teams and associated analytics engineering, to data scientists, Faire’s Strategy and Analytics function, etc. This technical leader will define and execute a technology roadmap and set design and usage patterns in the experimentation space. Striking the right balance of technical leadership and hands-on development.

What you’ll do:

Define and execute long-term strategy for experimentation and measurement company-wide.
Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire’s data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation.
Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure.

Qualifications:

Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development. Proficient in defining technical vision for experimentation and leading adoption across organizational boundaries.

Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable.
Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques.
Ability to translate business objectives into experimentation and measurement capabilities.
Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable.
Strong understanding of experiment lifecycle management and key methodologies.
Experience collaborating across disciplines to ensure rigor and trustworthy decision-making.
Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable.
Expertise in data quality and observability tools; Anomalo experience especially valuable.
Strong SQL skills and ability to design scalable analytical data models.
Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary range:

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

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Business Services

78 days ago

Staff Engineer - Experimentation Platform

Faire Wholesale, Inc. · Kitchener-Waterloo, ON

Pay

$190k–262k

Setting

On-site

Apply Sign in to favorite Permalink

About Faire

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role:

This role is for a highly experienced technical leader specializing in experimentation infrastructure.

What you’ll do:

Define and execute long-term strategy for experimentation and measurement company-wide.
Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire’s data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation.
Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure.

Qualifications:

Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable.
Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques.
Ability to translate business objectives into experimentation and measurement capabilities.
Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable.
Strong understanding of experiment lifecycle management and key methodologies.
Experience collaborating across disciplines to ensure rigor and trustworthy decision-making.
Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable.
Expertise in data quality and observability tools; Anomalo experience especially valuable.
Strong SQL skills and ability to design scalable analytical data models.
Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary range:

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

Why you’ll love working at Faire

Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Privacy

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Business Services

78 days ago

Staff Engineer - Experimentation Platform

Faire Wholesale, Inc. · Kitchener-Waterloo, ON

Pay

$190k–262k

Setting

On-site

Apply Sign in to favorite Permalink

Staff Engineer - Experimentation Platform Kitchener-Waterloo, ON; Toronto, ON Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: 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. This role is for a highly experienced technical leader specializing in experimentation infrastructure. This role will influence and interact with all users of experiments functionality at Faire. From product teams and associated analytics engineering, to data scientists, Faire’s Strategy and Analytics function, etc. This technical leader will define and execute a technology roadmap and set design and usage patterns in the experimentation space. Striking the right balance of technical leadership and hands-on development. What you’ll do: Define and execute long-term strategy for experimentation and measurement company-wide. Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire’s data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation. Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure. Qualifications: Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development. Proficient in defining technical vision for experimentation and leading adoption across organizational boundaries. Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable. Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques. Ability to translate business objectives into experimentation and measurement capabilities. Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable. Strong understanding of experiment lifecycle management and key methodologies. Experience collaborating across disciplines to ensure rigor and trustworthy decision-making. Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable. Expertise in data quality and observability tools; Anomalo experience especially valuable. Strong SQL skills and ability to design scalable analytical data models. Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin. Salary range: Canada: the pay range for this role is $190,500 to $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. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Get new jobs like this in your inbox We'll email you when Faire posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current province of residence. Select “Not in Canada” if you reside outside of Canada. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other Canada Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of completely voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. All responses are anonymous, self-disclosed and will be kept confidential. Responses will be securely stored and will not be used to identify any individual employee. If you choose to fill out these questions, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. Which categories describe you? Select all that apply to you: * Select... How do you currently describe your gender identity? * Select... Submit application Powered by

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Business Services

78 days ago

Staff Engineer - Experimentation Platform

Faire Wholesale, Inc. · San Francisco, CA

Pay

$231k–318k

Setting

On-site

Apply Sign in to favorite Permalink

Staff Engineer - Experimentation Platform San Francisco, CA Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: 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. This role is for a highly experienced technical leader specializing in experimentation infrastructure. This role will influence and interact with all users of experiments functionality at Faire. From product teams and associated analytics engineering, to data scientists, Faire’s Strategy and Analytics function, etc. This technical leader will define and execute a technology roadmap and set design and usage patterns in the experimentation space. Striking the right balance of technical leadership and hands-on development. What you’ll do: Define and execute long-term strategy for experimentation and measurement company-wide. Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire’s data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation. Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure. Qualifications: Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development. Proficient in defining technical vision for experimentation and leading adoption across organizational boundaries. Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable. Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques. Ability to translate business objectives into experimentation and measurement capabilities. Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable. Strong understanding of experiment lifecycle management and key methodologies. Experience collaborating across disciplines to ensure rigor and trustworthy decision-making. Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable. Expertise in data quality and observability tools; Anomalo experience especially valuable. Strong SQL skills and ability to design scalable analytical data models. Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin. Salary range: San Francisco: the pay range for this role is $231,000 to $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. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Get new jobs like this in your inbox We'll email you when Faire posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current state of residence. Select “Not in the US” if you reside outside the United States. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other U.S. Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. If you choose to fill them out, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. Do you consider yourself a member of the LGBTQIA+ community? * Select... Which categories describe you? Select all that apply to you:* Select... How do you currently describe your gender identity? * Select... Do you identify as a military veteran or service member? * Select... Are you a person living with a disability? Select... Submit application Powered by

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

80 days ago

Staff Product Manager, Inspire & App

Faire Wholesale, Inc. · New York City, NY

Pay

$220k–302k

Setting

On-site

Apply Sign in to favorite Permalink

Staff Product Manager, Inspire & App New York City, NY; San Francisco, CA Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Discovery is at the heart of Faire's value to retailers. Our pillar's mission is to help retailers discover products and brands their customers will love — whether they know exactly what they're looking for, or are just browsing for something new. This is one of the most consumer-facing PM roles at Faire. You will lead Inspire, the top-of-funnel discovery team responsible for Faire's most visited surfaces — the homepage, category pages, seasonal hubs, and global navigation — and you will own the vision and product strategy for the Faire mobile app. Inspire is the team building the next generation of wholesale discovery: a curated, dynamic, and personalized experience that makes every visit engaging and every session an opportunity to find something new. We're incubating new formats — a new discovery feed, interactive merchandising modules, trend-forward content — that make Faire not just a place to transact, but a destination to explore. The Faire app is one of our most significant growth levers. App-native retailers are among our highest-LTV cohorts, but there's a substantial gap between the app and desktop experience — in conversion, in evaluation quality, and in product craft. We're investing to close that gap, and this PM will own that vision: making the app feel like a product someone designed, not a website in a shell. This role has direct executive visibility and real 0→1 mandate. You'll shape Inspire's strategy and the app's multi-year direction. What you'll do Become an expert on how retailers find inspiration, both on and off Faire, and how these moments influence product discovery and purchasing decisions. Own the product vision and roadmap for Faire's top-of-funnel discovery experiences (homepage, category pages, seasonal hubs, global navigation) and the Faire mobile app. Lead the mobile app redesign — establish a coherent app vision (information architecture, navigation, core interactions, craft) and drive progress against it in close partnership with design, engineering, and adjacent pod leads. Collaborate with Engineering, Design, Data Science, and Marketing to deliver experiences that balance retailer delight, brand voice, and measurable business impact. Define and track success metrics for engagement and downstream conversion — running disciplined experiments and translating results into clear roadmap direction. Work directly with Faire's CEO and senior leadership to shape Inspire's long-term strategy and the multi-year app vision. Qualifications 8+ years of product experience at a high-growth tech company or as a startup founder, with a track record of driving meaningful user and business impact. Proven track record owning top-of-funnel or high-engagement consumer surfaces — feeds, homepages, browse experiences, or explore surfaces — ideally at a high-engagement platform (consumer social, e-commerce, marketplace, or content discovery). You've built products that create habits, not just convert transactions. Mobile product depth — you've owned a native app experience as a primary product area, driven measurable improvement in app-specific metrics (conversion, engagement, retention), and worked hands-on with mobile engineering teams. You think natively in mobile UX patterns. 0→1 experience — you've launched new products or experiences from scratch and know how to scope MVPs that prioritize learning without sacrificing quality. Highly collaborative and persuasive communicator, with excellent written and verbal skills. Deep user empathy — you care about understanding customer needs and creating thoughtful, impactful experiences. Salary Range San Francisco, CA/New York City, NY: The pay range for this role is $220,000 - $302,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors, including transferable skills, work experience, market demand, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Get new jobs like this in your inbox We'll email you when Faire posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current state of residence. Select “Not in the US” if you reside outside the United States. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other U.S. Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. If you choose to fill them out, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. Do you consider yourself a member of the LGBTQIA+ community? * Select... Which categories describe you? Select all that apply to you:* Select... How do you currently describe your gender identity? * Select... Do you identify as a military veteran or service member? * Select... Are you a person living with a disability? Select... Submit application Powered by

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

80 days ago

Staff Product Manager, Search Algorithms

Faire Wholesale, Inc. · New York City, NY

Pay

$220k–302k

Setting

On-site

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Senior Product Manager, Search Algorithms New York City, NY; San Francisco, CA Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role The Discovery pillar's mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role owns a product roadmap for one of our search algorithm areas — ranking, retrieval, or query understanding — the largest discovery surface by order volume. This role sits at the intersection of data science, marketplace strategy, and execution. You'll work closely with a world-class data science team to define goals, get into the weeds of the data, and maintain the execution velocity that lets us keep improving these systems. What you'll do Own a roadmap for your search algorithm area that is analytically grounded, clearly prioritized, and connected to business outcomes such as retention, reorder rate, and buyer conversion. Direct the analytical work of your pod — partnering with dedicated strategy & analytics and data science partners to identify opportunities, diagnose root causes of failure modes, interpret outputs, and turn findings into clear priorities. Refine the offline and online metrics that help us understand the retailer's search experience and the performance of each system component. Run a tight operation across many moving parts — ML platform dependencies, retrieval/ranking coupling, feature engineering cycles, model architecture changes — and proactively unblock bottlenecks. Build trusted partnerships across ML Platform, Discovery Infrastructure, and adjacent Search and Personalization teams, managing your team's bandwidth while delivering on shared goals. Represent your team's strategy and progress to leadership, connecting algorithmic work to marketplace outcomes. Qualifications Bachelor's degree or equivalent experience 4+ years of product management experience at a high-growth tech company, or 5+ years as a data scientist or machine learning engineer with 1-2 years transitioned into a product management role. Deep comfort working in data — you independently generate insights by knowing how to slice and frame analytical questions, and could hold your own sparring with data scientists on methodology and interpretation Strong goal definition skills — you translate ambiguous business objectives into crisp, unambiguous goals, and catch misalignment early Execution rigor across complex, multi-dependency work — you run a tight operation across many moving parts and proactively unblock bottlenecks Marketplace business intuition — you reason about algorithmic decisions in aggregate terms (conversion, reorder rate, revenue impact) and understand two-sided marketplace tradeoffs ML/DS partnership fluency — you don't need to build models, but you understand algorithmic system architecture well enough to ask the right questions and communicate credibly with highly technical counterparts You are relentlessly resourceful and comfortable executing with limited information and ambiguity Experience in search, recommendations, or ads at a tech company is a plus Salary Range San Francisco, CA: The pay range for this role is $188,000 - $258,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors, including transferable skills, work experience, market demand, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Create a Job Alert Interested in building your career at Faire? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile* Please select your current state of residence. Select “Not in the US” if you reside outside the United States. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other U.S. Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. If you choose to fill them out, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. Do you consider yourself a member of the LGBTQIA+ community? * Select... Which categories describe you? Select all that apply to you:* Select... How do you currently describe your gender identity? * Select... Do you identify as a military veteran or service member? * Select... Are you a person living with a disability? Select... Submit application Powered by

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Business Services

85 days ago

Senior Applied ML/AI Scientist - Search

Faire Wholesale, Inc. · New York City, NY

Pay

$211k–290k

Setting

On-site

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Senior Applied ML/AI Scientist - Search New York City, NY; San Francisco, CA Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role As a Senior Applied AI/ML Scientist on the Search team, you will help shape the technical vision, machine-learning algorithm strategy, and system design behind one of our most important growth levers: Search (the primary tool used by customers on any e-commerce site). You will advance real-time search and recommendation systems that power next-generation shopping experiences. You’ll work at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a rare chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, while collaborating closely with a talented team of scientists and engineers. What you'll do Build our next-generation Search ranking algorithms by integrating the latest advances in deep learning and machine learning to personalize the retailer discovery journey at Faire Leverage LLM to extract multimodal signals (text, visual) to better profile users and their intents. Partner closely with teams across Faire to experiment and improve the ML models for search ranking and beyond. Design and productionize natural-language search and discovery systems so that intelligent agents can generate relevant and personalized collections, explain search results, and assist retailers with browsing, filtering, and evaluation. Share best practices regarding deep learning model development, agent-workflow evaluation, and MLOps, and help teammates level up through code reviews and technical guidance. You're a great fit if you have 5+ years of industry experience building large-scale ML models with business impact and shipping ML solutions to production, including 3+ years in search, recommendation, or ads ranking A Master’s or PhD in Computer Science, Statistics, or a related STEM field. Strong programming skills (Python, Java, or equivalent) and hands-on experience with deep-learning libraries (e.g., PyTorch) and big data technologies (e.g., Spark). Deep understanding of machine learning best practices (e.g., training/serving, imbalanced data, A/B testing, feature engineering, and feature/model selection) and algorithms (e.g., user modeling, deep learning, and reinforcement learning) with applications in search, recommendation, and advertising domains. A product-focused mindset and a bias toward execution—moving quickly from research papers to prototypes and production. Excellent written and verbal communication skills and strong cross-functional influence that raise the technical bar beyond your immediate team. Bonus Points Contributions to open-source ML libraries or peer-reviewed publications in ML/AI. Industry experience developing and productizing LLM-based applications and systems in the search domain. Industry experience building search and recommendation systems for e-commerce or two-sided marketplaces. Experience using AI tools (e.g., Cursor, Claude Code, Codex) for code development and daily productivity. Familiarity with Kotlin Salary Range US: 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. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Get new jobs like this in your inbox We'll email you when Faire posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current state of residence. Select “Not in the US” if you reside outside the United States. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other U.S. Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. If you choose to fill them out, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. Do you consider yourself a member of the LGBTQIA+ community? * Select... Which categories describe you? Select all that apply to you:* Select... How do you currently describe your gender identity? * Select... Do you identify as a military veteran or service member? * Select... Are you a person living with a disability? Select... Submit application Powered by

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

Marketing

86 days ago

GTM Systems Engineer

Faire Wholesale, Inc. · San Francisco, CA

Pay

$176k

Setting

On-site

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GTM Systems Engineer San Francisco, CA Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role GTM Engineering builds and operates the intelligent systems, integrations, and automations that power Faire's GTM revenue org. We're the AI and technical backbone of GTM — accountable for the reliability, adoption, and continuous improvement of the tech stack. We're an AI-first team: we design intelligent workflows, build automation, and invest in the data foundations that make every capability we ship compound in value over time. We're hiring a GTM AI & Systems Engineer to help build the next generation of AI and automation across Faire's go-to-market stack. This is a builder role on our GTM Engineering team — you'll design, build, and ship the agents, integrations, and workflows that take manual work off Sales and put Faire's data to work across the customer lifecycle. You'll work across Salesforce, sales tools, and our growing AI/MCP tooling layer, partnering closely with RevOps, Sales, GTM Program Management, and Data & Backend Engineering to find the highest-leverage opportunities and turn them into systems people actually use. Every decision about what we build is made with an AI-first lens: agent before automation, automation before manual. Why this seat Wide latitude on the automation and AI layer — you'll help pick the highest-leverage problem, build it, and own how it runs, rather than execute a roadmap set for you. A direct line from your work to a number the business feels: rep hours saved, pipeline surfaced, faster response times. AI tooling as a first-class part of the job, not a side project you have to justify. What you’ll do Design, build, and ship AI agents and automations across the GTM motion: lead routing and scoring, account enrichment, sequencing and outbound support, deal support, and customer lifecycle signals. Own and extend core parts of our Salesforce and GTM systems architecture alongside the rest of the GTM Engineering. Contribute to Salesforce governance and DevOps hygiene as part of keeping the stack secure, reliable, and audit-ready. Partner with our PAE team on the GTM data layer — Snowflake, Hightouch, Fivetran, Airflow, or related data tools — so usage and lifecycle signals reach the right system and trigger the right action automatically. Partner with Sales, Success, RevOps, and Program Management to find where AI and automation create the most leverage, and turn that into working, adopted systems — not just proofs of concept. Stand up evals, monitoring, and guardrails so every AI capability we ship is observable, reversible, and measured against a real business metric — pipeline influenced or rep time saved, not just uptime. Set the bar for how AI shows up in Faire's GTM motion day to day — the data-quality standard, the review points, and the guardrails other builders on the team follow. Help shrink the team's own keep-the-lights-on burden by identifying recurring operational work that's a good candidate for agent handling. Track the AI and automation tooling landscape and bring the best of it into how Faire's GTM org operates. Qualifications 5+ years building automation, integrations, or tooling in a GTM, RevOps, or Business Systems context, with systems you've shipped and currently operate in production. Hands-on Salesforce experience (declarative, Apex/SOQL, DevOps) and working familiarity with the modern GTM stack (ETL, Reverse ETL, Snowflake, Clay, Gong, GitHub). Production experience with integration/automation tooling — Workato, Zapier, n8n or similar iPaaS/MCP/agent-builder platforms. Working fluency with AI tooling — LLM APIs, agent/orchestration frameworks, prompting with agents or AI-driven workflows. Judgment about where AI and automation genuinely help versus where they create risk — you know when to push automation further and when to pull back, and when to keep a human in the loop. Comfort with SQL and enough Python or scripting to build and debug your own pipelines and integrations. A builder-operator mindset: you'd rather ship something small and real than plan something big and theoretical, and once it's live, you keep making it better. Strong written communication — you can explain what a system does and why to both engineers and go-to-market stakeholders. Nice to have Experience with BI, Snowflake, dbt, or other modern data warehousing tools. Experience building or extending MCP servers or agent frameworks. Comfort building lightweight internal tools or apps that give reps or ops a simple interface into a system. Salary Range San Francisco: 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. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Create a Job Alert Interested in building your career at Faire? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current state of residence. Select “Not in the US” if you reside outside the United States. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other U.S. Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. If you choose to fill them out, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. Do you consider yourself a member of the LGBTQIA+ community? * Select... Which categories describe you? Select all that apply to you:* Select... How do you currently describe your gender identity? * Select... Do you identify as a military veteran or service member? * Select... Are you a person living with a disability? Select... Submit application Powered by

Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.

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