About this role:

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

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

The team focuses on the following areas and capabilities:

• Data warehousing, including cost-efficient storage and compute
• ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
• Evolution of foundational datasets with company-wide utilization
• BI (business intelligence) tooling and integrations
• Productivity acceleration tooling for analytics use-cases, including AI/LLM powered tools
• Automation of analytics functions
• Monitoring, alerting, and cost tracking for workloads
• Data security, privacy, and governance

The team also owns relationships with select infrastructure vendors.

We’re looking for: An engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

What you’ll do:

• Plan and execute on technology projects that scale with our growth; contribute to our technology foundations with a focus on data integrity, security, performance, scale, reliability, operational excellence.
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical expertise on difficult open-ended problems.

Qualifications:

• Strong Python and SQL skills
• Experience developing and operating ETL/ELT, storage, compute, workflow systems
• Exposure to building and operating reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
• Understanding of data warehousing basics, especially Snowflake, is highly valuable
• Understanding of performance, capacity, cost trade-offs in data processing systems. 
• Experience diagnosing, mitigating, and addressing data system production issues at scale
• Strong communication skills
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience

Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin

Salary range:

Canada: the pay range for this role is $129,500 - $178,000 per year. 

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

About this role:

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

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

The team focuses on the following areas and capabilities:

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

The team also owns relationships with select infrastructure vendors.

We’re looking for:

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

What you’ll do:

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

Qualifications:

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

Technologies we use and teach:

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

Salary range:

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

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

About this role 

The Senior Customer Experience Team Lead owns late-day coverage (12PM–9PM ET) across the CX organization, leading a team of up to 15 Customer Experience Associates through the most complex and high-stakes customer interactions across chat, email, and phone. You won’t just lead a pod — you’ll be a trusted escalation partner and decision-making resource for ICs across the broader team during hours when senior leadership coverage is thinnest. As AI continues to handle a growing share of routine interactions, you’ll build your team’s confidence and capability in the work that requires human judgment, synthesis, and connection. You’ll develop your people into strong candidates for growth within CX and across the Ops organization, and contribute strategic thinking as we continue to specialize and tier our support model.

Role Specifications

This is a hybrid role requiring the candidate to work 12PM–9PM ET, Monday through Friday. Our hybrid requirements are Tuesday, Thursday, and one other weekday in the office. The candidate should have a suitable home office setup with a reliable high-speed internet connection for non-office days.

What you’ll do 

• Serve as the go-to escalation partner and decision-making resource for ICs across the org during the late shift — owning real-time guidance on complex platform issues, judgment calls, and high-stakes customer situations.
• Drive a standard of support on complex and challenging cases that directly contributes to customer retention. Empower ICs to make the right calls in nuanced situations by building strong decision-making frameworks, not just escalation paths.
• Develop ICs who are strong candidates not only for advancement within CX but for critical roles across the Ops organization. Connect daily work to the skills and behaviors on the career pathway so ICs can see where they're headed and what it takes to get there.
• Bring strategic thinking to how we continue to specialize and tier our customer support model. Take on projects within Production and cross-functionally within Ops that move the organization forward.
• Identify where our AI tooling is letting customers down and feed those insights into the right channels — not by owning the AI system, but by being closest to where it fails.

Qualifications

Must have:

• Proven experience leading and developing customer support teams of 8+ across multiple channels (chat, email, phone)
• Track record of coaching ICs through effective growth conversations, clear expectation-setting, and consistent performance management
• Sound judgment and decision-making in high-stakes, real-time customer situations
• Ability to influence across teams without positional authority
• Resilience under pressure and comfort operating as the most senior leader available during your shift
• Strong interpersonal skills — especially reading intent and navigating tension

Nice to have:

• Experience working in an environment where AI handles a meaningful share of support volume
• Familiarity with capacity planning, scheduling, and intraday adherence in a multi-channel contact center
• Track record of developing ICs who moved into roles outside of CX/support

Salary Range

Kitchener-Waterloo, ON: the pay range for this role is $72,000 to $99,000 per year. 

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

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

This job posting is for an existing vacancy.

Build the ads platform that powers the shop local movement.

Faire connects independent retailers with the world's best brands. Ads is how we accelerate that mission: helping brands reach the right retailers, understand what's working, and grow their business on Faire.

This is a high-visibility, high-impact role on one of Faire's top priorities heading into IPO.

Why now?

The Ads team is expanding from 1 team to 3 in 2026. You're joining early enough to shape the direction of the product, with enough already in place to ship meaningful work from day one.

What you'll do:

This is a full-stack product engineering role. 

• You own projects end to end, across frontend, backend, and data.
• Partner with PMs and designers to define the why and what, not just the how; your product instincts matter here
• Contribute to Faire's server-driven UI framework: set technical direction, ensure scalability, and drive adoption across the team
• Optimize frontend performance using Next.js and modern web techniques
• Use AI tooling as a genuine part of your workflow, not as an experiment
• Raise the bar for the engineers around you through code review, pairing, and sharing what you know

What we're looking for:

Must-haves:

• 5+ years of full-time engineering experience (we look at the whole picture)
• Strong frontend depth in TypeScript and React; you can own a complex fullstack project top to bottom
• Product-driven and customer-centric; you think about our customers, not just the technology.
• Comfortable in high-ambiguity environments; you move fast, communicate clearly, and don't wait for perfect specs
• AI tooling is genuinely part of how you work today; you can speak to what you use, what works, and what doesn't

Preferred:

• Background in ad tech, ads manager tools, or customer-facing analytics
• Experience leading a complex frontend project with multiple stakeholders, or mentoring a small group of frontend engineers
• Hands-on experience with data pipelines (Airflow, Spark, or similar)

Tech we use: TypeScript, React, Next.js, Kotlin, Python, Airflow, Jest, Cypress. Strong fundamentals matter more than a specific stack.

Salary range:

Canada: the pay range for this role is $156,000 - $214,500 per year. 

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

About the Role:

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

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

You’re excited about this role because...

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

What You'll Do:

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

Qualifications:

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

Technologies We Use and Teach:

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

Salary Range:

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

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

About the Role:

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

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

You’re excited about this role because...

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

What You'll Do:

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

Qualifications:

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

Technologies We Use and Teach:

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

Salary Range:

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

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

About this Role

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

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

What You'll Do

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

Qualifications

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

Great to Haves

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

Salary Range

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

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

About this Role

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

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

What You'll Do

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

Qualifications

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

Great to Haves

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

Salary Range

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

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

About this Role

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you’ll shape the future of our ads marketplace and auction system at Faire—spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands.

This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have a massive impact in shaping the platform that connects independent retailers and brands. You’ll work closely with engineers, product managers, and designers to launch and iterate on systems that are not just technically sophisticated, but also directly drive improvements to the bottom line for both brands and Faire.

What You'll Do

• Own the end-to-end development of ML models across the ads bidding stack—from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement.
• Build best-in-class models and algorithms for auction optimization, bid shading and bid multipliers, budget allocation, pacing, and advertiser ROI/ROAS optimization—drawing from marketplace optimization and experimentation best practices.
• Define and improve bidding and pacing strategies that balance advertiser performance, marketplace health, and platform economics (e.g., spend smoothing, delivery guarantees, seasonal demand, and inventory constraints).
• As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire *should* be—not just how they’re built.
• Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest).

Qualifications

• 4+ years of industry experience using machine learning to solve real-world problems, ideally in Ads, Marketplace Optimization, Pricing, Auctions, or a related large-scale production domain.
• Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration.
• Strong programming skills.
• Experience with relational databases and SQL.
• The ability to contribute to team strategy and to lead model development without supervision.
• Strong communication skills and the ability to work with others in a closely collaborative team environment.

Great to Haves

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

Salary Range

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

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

About this Role

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you’ll shape the future of our ads marketplace and auction system at Faire—spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands.

This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have a massive impact in shaping the platform that connects independent retailers and brands. You’ll work closely with engineers, product managers, and designers to launch and iterate on systems that are not just technically sophisticated, but also directly drive improvements to the bottom line for both brands and Faire.

What You'll Do

• Own the end-to-end development of ML models across the ads bidding stack—from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement.
• Build best-in-class models and algorithms for auction optimization, bid shading and bid multipliers, budget allocation, pacing, and advertiser ROI/ROAS optimization—drawing from marketplace optimization and experimentation best practices.
• Define and improve bidding and pacing strategies that balance advertiser performance, marketplace health, and platform economics (e.g., spend smoothing, delivery guarantees, seasonal demand, and inventory constraints).
• As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire *should* be—not just how they’re built.
• Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest).

Qualifications

• 2+ years of industry experience using machine learning to solve real-world problems, ideally in Ads, Marketplace Optimization, Pricing, Auctions, or a related large-scale production domain.
• Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration.
• Strong programming skills.
• Experience with relational databases and SQL.
• The ability to contribute to team strategy and to lead model development without supervision.
• Strong communication skills and the ability to work with others in a closely collaborative team environment.

Great to Haves

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

Salary Range

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

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

About the Role:

Imagine a world where every engineer at Faire can ship code faster, deploy confidently, and test seamlessly—because of the tools you build. Our Developer Productivity team makes that vision a reality, and we're looking for a back-end engineer to help take it even further.

In this role, you will work on internal AI-powered tools, CI/CD pipelines, test automation, experimentation and translation frameworks, and other initiatives that streamline the development lifecycle. Your work will remove bottlenecks, improve reliability, and enable engineers across Faire to build at incredible speed.

What You’ll Do:

• Build and maintain high-quality features for internal developer tooling.
• Identify pain points in engineering workflows and design both immediate fixes and long-term improvements.
• Experiment with LLMs and AI-powered automation to redefine how engineers write, test, and deploy code.
• Enhance the reliability and speed of development environments, CI/CD pipelines, and automation frameworks.
• Contribute to the platform roadmap, using data-driven insights to set priorities and measure impact.

What We’re Looking For:

• 2+ years of experience in back-end development (Java, Kotlin, or similar).
• Passion for developer experience, tooling, and automation.
• Interest in AI/LLMs and their applications in developer productivity.
• Strong understanding of CI/CD systems and cloud infrastructure (GitHub Actions, Buildkite, Docker, AWS, OCI, or similar).
• Ability to collaborate across teams, solve complex engineering problems, and drive efficiency.
• Curiosity and enthusiasm for exploring new tools and technologies to enhance development workflows.
• Bonus point for experience working with monorepos and large-scale codebase management.

Salary range:

Canada: the pay range for this role is $129,500 - $178,000 per year. 

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

About this role:

Our engineering team owns the software that makes our marketplace work. We’re looking for an experienced leader to help lead teams focused on a core customer experience. Our customers look to Faire to help manage and run their wholesale business across the customer journey, from getting their products listed to marketing their business through promotions or email to processing wholesale orders and managing their fulfillment.

We care about good engineering practices and love to write software that is secure, tested, easy to maintain, and scalable to millions of users. We build minimum viable products, deploy to production multiple times per day, A/B test customer-facing changes, listen to the data, and iterate.

We are deeply committed to accelerating the adoption of AI across our engineering workflow—leveraging it for everything from basic coding assistance and streamlining review processes to informing architectural design and enhancing system monitoring. We are excited about this vision and are seeking Engineering Managers to partner with us in accelerating it, driving AI as a critical enabler for increasing our development velocity and system quality.

What you’ll do:

• Directly manage a cross functional team of engineers.
• Partner with product management and design on team strategy and roadmapping
• Champion customer empathy and advocacy by translating deep customer needs into strategic and technical priorities.
• Lead scoping and sprint planning within your teams
• Oversee the health and quality of the production system, leveraging automated tools to diagnose and address defects and system issues.
• Identify and scope infrastructure or tooling changes to impact efficiency and/or quality
• Champion the adoption of AI-driven tools and processes (e.g., background agents, automated testing, production monitoring) across the engineering organization to accelerate development velocity and quality.
• Dive into the architecture, designs and code in order to lead your team effectively. 
• Lead contributor and owner of process and team structure decisions.
• Directly impact our ability to grow quickly while improving operational efficiencies.

Qualifications:

• A passion for programming and solving problems with code.
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
• A strong technical background and you are still capable of using it every day. 
• A love for technology, and an insatiable curiosity for new tools to tackle real problems.
• A track record of leading teams to higher levels of contribution.
• A track record of assisting team members to achieve higher levels of impact in their careers.
• Capable and willing to write software for a couple months as part of your onboarding.
• Still willing and able to get your hands dirty with software design, code creation, tooling, etc.

Bonus/Nice to haves:

• Postgraduate degree in management or business
• Strength and experience in running engineering teams using metrics
• Have lead through other managers

Salary range:

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

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

About this role

As a Senior Applied AI/ML Scientist on the Search ranking 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 for...

• 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

California: the pay range for this role is $192,000 to $264,000 per year.

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

About this role:

At Faire we have a business unit focused on Retailer Growth that oversees core growth strategies from top of funnel, to onboarding, to helping Retailers get up and running to be successful on Faire. 

As our Growth organization scales, the complexity of experimentation, segmentation, targeting, personalization, and lifecycle orchestration increases dramatically. We are investing in platform capabilities that empower multiple product teams to move faster and run higher-quality experiments safely at scale.

We are looking for a Senior Growth Platform Engineer to design and build the foundational systems that power growth across Faire. We are looking for someone who thinks in terms of reusable capabilities, scalable architecture, and long-term leverage. This role focuses on backend systems that enable experimentation, targeting, incentives, lifecycle triggers, and growth automation across the retailer journey.

What you’ll do:

• Architect and build scalable backend systems that power experimentation, segmentation, and targeting.
• Design growth infrastructure that enables product teams to ship experiments safely and independently.
• Build APIs and services that support personalization, incentives, lifecycle triggers, and growth workflows.
• Partner with Data Science and Analytics to ensure accurate experiment assignment, event tracking, and metric integrity.
• Improve experimentation velocity by reducing friction in tooling, deployment, and analysis.
• Ensure systems are reliable, observable, secure, and capable of operating at marketplace scale.
• Establish best practices for experimentation guardrails, traffic allocation, and statistical integrity.
• Influence technical direction across the Growth organization through platform design and architectural leadership

We’re excited about you because you:

• Have 5+ years of backend software engineering experience.
• Have strong experience designing and operating distributed systems at scale.
• Have built or significantly contributed to experimentation platforms, or growth infrastructure.
• Are fluent in backend technologies such as Kotlin, Java, or similar JVM-based systems.
• Have deep experience designing APIs and working with relational databases (e.g., MySQL, CockroachDB).
• Understand event-driven architectures, data pipelines, and instrumentation best practices.
• Care about system reliability, observability, and performance.
• Think in terms of leverage, building systems that empower many teams rather than solving one-off problems.
• Can translate ambiguous growth requirements into robust, scalable technical solutions.
• Have strong product instincts and understand how platform decisions impact business outcomes.

Bonus / Nice to haves:

• Experience in marketplace, e-commerce, or two-sided platform environments.
• Familiarity with statistical experimentation concepts (power, bias, sample sizing).
• Experience integrating with marketing automation, CRM, or lifecycle systems.
• Exposure to real-time personalization or recommendation systems.

Technologies we use & teach:

Experience with similar technologies is welcome - you don’t need experience with our exact stack.

• Backend: Kotlin, Java, Guice, Jersey, Hibernate
• Datastores: MySQL, CockroachDB
• Infrastructure & Cloud: AWS (EC2, S3, RDS), Docker
• APIs & Data: HTTP, REST, JSON, Protocol Buffers
• Experimentation & Growth: Feature flagging systems, A/B testing frameworks, traffic ramping tools

Salary range:

Canada: the pay range for this role is $156,000 - $214,500 per year. 

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

About this role:

At Faire we have a business unit focused on Retailer Growth that oversees core growth strategies from top of funnel, to onboarding, to helping Retailers get up and running to be successful on Faire. We are looking for a Senior Growth Engineer (Frontend or Backend) who thrives at the intersection of product, experimentation, and engineering. 

We are looking for someone who wants to own meaningful business outcomes and impact, not just ship features. Depending on your strengths, you may focus primarily on frontend or backend systems, but you will operate with end-to-end ownership of growth initiatives and measurable impact. You will partner closely with Product, Design, Data Science, Analytics, and Marketing to turn hypotheses into experiments, and experiments into scalable growth engines.

What you’ll do:

• Own and deliver growth experiments end-to-end, from ideation to implementation and analysis.
• Build customer-facing features that improve funnel conversion, onboarding success, and engagement.
• Design and implement scalable APIs and services (backend focus) or intuitive, high-performance user interfaces (frontend focus).
• Partner with Data Science and Analytics to define success metrics and interpret experiment results.
• Contribute to experimentation frameworks and growth tooling infrastructure.
• Share ownership of product decisions and help shape growth strategy through technical insight.
• Write clean, secure, tested, and maintainable code that scales to millions of users.
• Help improve engineering quality, velocity, and operational efficiency within the Growth organization.

We’re excited about you because you:

• Have 5+ years of professional software engineering experience.
• Have strong experience in either:
• Backend development (e.g., Kotlin, Java, C#, APIs, databases, distributed systems), or
• Frontend development (e.g., React, TypeScript/JavaScript, modern UI frameworks, performance optimization).
• Have shipped customer-facing features with measurable impact.
• Care deeply about experimentation, A/B testing, and data-informed decision making.
• Are comfortable working in fast-moving, hypothesis-driven environments.
• Take ownership and think beyond implementation, connecting technical decisions to business outcomes.
• Have a strong foundation in computer science fundamentals or equivalent industry experience.
• Are curious, resourceful, and excited to solve ambiguous problems.

Bonus / Nice to haves:

• Experience working on growth, activation, onboarding, or monetization teams.
• Experience leading major growth initiatives or owning a growth surface area.
• Experience in marketplace, e-commerce, or B2B SaaS environments.
• Familiarity with experimentation platforms and feature flagging systems.
• Experience collaborating closely with Data Science or Analytics teams.
• Exposure to lifecycle marketing, CRM systems, or data pipeline integrations.

Technologies we use & teach:

(Experience in similar technologies is welcomed)

• Backend: Kotlin, Java, JUnit, Hibernate, Guice, Jersey, MySQL, CockroachDB, AWS
• Frontend: React, TypeScript/JavaScript
• Infrastructure & Data: HTTP, JSON, Protocol Buffers, experimentation frameworks, analytics tooling

Salary range:

Canada: the pay range for this role is $156,000 - $214,500 per year. 

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

About this role

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 in the data space, whose influence spans multiple Platform and Product groups.

Within the Platform group:

• The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance. 
• The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.

The teams also own relationships with relevant technology infrastructure vendors.

Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.

We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.

What you’ll do

• Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.

Qualifications

• Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
• Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
• Strong SQL and Python skills and experience.
• Data warehousing experience at Petabyte scale.
• Snowflake, Airflow, Spark experience especially valuable.
• Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
• Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
• Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
• Excellent communication, leadership, and influencing skills.
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
• Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary Range

San Francisco: the pay range for this role is $268,000 to $368,500 per year.

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

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

This job posting is for an existing vacancy.

About this role

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 in the data space, whose influence spans multiple Platform and Product groups.

Within the Platform group:

• The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance. 
• The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.

The teams also own relationships with relevant technology infrastructure vendors.

Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.

We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.

What you’ll do

• Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.

Qualifications

• Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
• Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
• Strong SQL and Python skills and experience.
• Data warehousing experience at Petabyte scale.
• Snowflake, Airflow, Spark experience especially valuable.
• Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
• Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
• Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
• Excellent communication, leadership, and influencing skills.
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
• Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary Range

Canada: the pay range for this role is $228,000 to $313,500 per year. 

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

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

This job posting is for an existing vacancy.