ABOUT BEACON
Beacon Software acquires and operates vertical market SaaS companies across North America. We run a portfolio of 25+ software businesses spanning campground management, election platforms, field safety tools, proptech data, workforce scheduling, and more, with a shared focus on compounding customer value over the long term.
Data sits at the centre of how we operate. We use it to run portfolio companies better, underwrite new acquisitions, and increasingly to build AI-powered capabilities into our products. This role is the person who architects, owns, and builds the infrastructure that makes all of that possible.
THE OPPORTUNITY
We are looking for a senior data infrastructure leader who is still deeply hands-on. Someone who has spent time inside companies like Snowflake, Databricks, or Confluent building the platforms others run on, and who now wants to apply that depth to a genuinely interesting operational problem.
You will be the first dedicated data infrastructure hire at the Beacon holding-company level. You will design the architecture, write significant amounts of the code, and set the patterns for how data flows across a growing portfolio. The problem is not generic. Multi-tenant isolation across very different portcos, cross-cloud ingestion from systems we do not control, regulated verticals with residency requirements, and a long-term path toward making this data usable by both people and software. Over time, you will define whether and how a small team gets built around you.
WHAT YOU'LL OWN
- The central data platform. Design and build Beacon's lakehouse, warehouse, and pipeline architecture. Unify data across 25+ portfolio companies into a coherent platform that survives contact with very different source systems, very different data quality, and very different portco maturity levels.
- Ingestion strategy. Connect diverse source systems (SaaS apps, transactional DBs, Stripe, Salesforce, custom APIs) into a low-latency data layer. The hard part is not any individual connector. It is the operating model that makes onboarding portco 50 as fast as portco 5.
- Modeling and transformation standards. Define the data modeling standards, transformation logic (dbt, Spark, or equivalent), and lineage practices used by the entire portfolio. The canonical model is the thing that lets a query like “show me sales across all portcos” actually resolve, and it is the thing that determines whether the platform compounds or fragments as we grow.
- Real-time and batch frameworks. Establish the processing framework for operational analytics, AI feature engineering, and executive reporting. Batch where batch is right. Streaming where it matters. The discipline to know which is which.
- Multi-tenant isolation and security posture. Per-portco data, compute, and credential boundaries. Cross-cloud (AWS and Azure) connectivity. Regional residency for portcos in regulated verticals. KMS scoping, IAM design, and the audit surfaces that make it all defensible.
- Infrastructure-as-code for the data stack. Cloud provisioning, cost management, and observability. You will own the Terraform or Pulumi modules that other engineers build against. The bar is not novelty. It is correctness, repeatability, and the kind of module design that ages well.
- AI and feature serving partnership. Partner with AI and product teams to build feature stores, vector infrastructure, and low-latency serving layers as we embed intelligence in portfolio products. You do not need to be the ML expert. You need to be the person who makes sure the data layer underneath is ready when ML needs it.
- Vendor stack ownership. Evaluate and own the cloud warehouse, orchestration, cataloging, and BI tooling. Build vs. buy decisions, with long-term leverage in mind. We have an active evaluation underway between Snowflake and Databricks, and you will be the senior voice in landing that.
- Acquisition diligence. Act as the senior technical voice in acquisition diligence, assessing target companies' data maturity and integration complexity. Some of the highest-leverage moments in our operating model happen pre-close, and the data infra perspective is missing from most diligence processes.
WHO YOU ARE
Technical depth
- Hands-on background in distributed systems, query engines, or cloud data platforms.
- Comfortable writing production Python, SQL, and infrastructure-as-code (Terraform, Pulumi).
- Deep familiarity with modern lakehouse and warehouse internals (Iceberg, Delta, Parquet, Snowflake, Databricks).
- Strong grasp of streaming architectures (Kafka, Kinesis, Flink) and CDC patterns.
- Experience building for both analytical and operational workloads at scale.
Operating style
- Still gets excited to write code and review PRs. This is not a purely strategic role.
- Operates well in small-team, high-autonomy environments without heavyweight process.
- Strong opinions, loosely held. Makes architectural decisions fast and iterates.
- Can translate infrastructure complexity into plain language for operators and GMs.
- Comfortable scoping work across many different business contexts simultaneously.
WHAT THIS ROLE IS NOT
- This is not a heads-down IC role with no scope. You will be setting the technical direction for data infrastructure across the entire portfolio.
- This is not a purely strategic role. We expect you to write code, review PRs, and be in the systems day-to-day. The team you build around you will follow the bar you set.
- This is not a maintenance role. The platform is net-new. You will be designing it from scratch and living with the consequences.
COMPENSATION & LOGISTICS
Competitive base salary plus meaningful equity in Beacon. Comp bands are calibrated to top-of-market tech companies, not to PE firm norms. Beacon HQ is in San Francisco (CA). Hybrid expected. Remote considered for the right person, with the expectation that you will travel to San Francisco (CA) or Toronto (CN) regularly for in-person design and review sessions.
HOW TO APPLY
Send a note to careers@beaconsoftware.com with anything that helps us understand how you think. The strongest applications include a system you have built or owned end-to-end, a design decision you made and would defend, or a technical bet you took and what you learned. We read everything.
Our Values at Beacon Software
- Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.
- Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant.
- Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected.
- Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.
How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.
AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.
Listed by Beacon Software for a position based in the United States. Employers on this board attest they are hiring domestically.
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.
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)
Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.
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)
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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.
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Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.
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
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*
indicates a required field
Autofill my application
First Name*
Last Name*
Preferred First Name
Email*
Phone
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Phone*
Location (City)*
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Resume/CV*
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Cover Letter
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LinkedIn Profile
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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.*
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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?*
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Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)*
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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? *
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Which categories describe you? Select all that apply to you:*
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How do you currently describe your gender identity? *
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Do you identify as a military veteran or service member? *
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Are you a person living with a disability?
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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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