697,399open jobs
40,853companies
100,449added this week
Browse all
Salary
$148k – $204k per year
Location
Remote/Hybrid (San Francisco, United States)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Faire is an online wholesale marketplace headquartered in San Francisco, California, that connects independent retailers with brands and uses data and machine learning to help shop owners discover and stock products. Founded in 2017, it lets retailers order in small quantities with net-60 payment terms and free returns on first orders, and it serves hundreds of thousands of retailers across North America and Europe. It hires software engineers, applied AI and machine learning scientists, product analytics engineers, product managers and marketers, strategy and finance leads, GTM systems engineers, account executives and bilingual sales development representatives.

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

As a Senior Technical Recruiter at Faire, you will play a critical role in scaling our fast-growing Data, Machine Learning, and Engineering teams. We are looking for someone who operates as a true talent advisor, deeply embedded with senior leadership, shaping how we hire for our most complex and high-stakes technical roles.

You will be responsible for setting recruiting strategy across Data and Engineering, driving excellence in process and candidate experience, and serving as a force multiplier for the broader recruiting team. This is a senior individual contributor role with potential for direct reports for someone who is ready to own the most critical searches on the team while helping define what great technical recruiting looks like at Faire.

This is a high-impact role based in San Francisco with significant scope to influence recruiting strategy as the business evolves.

What You'll Do

  • Lead full-cycle recruiting for the most complex and senior Data, ML, and Engineering roles, including Staff and Principal levels from role scoping through close.
  • Serve as a strategic talent partner to key stakeholders, shaping role requirements, calibrating on market dynamics, and driving rigorous, data-informed hiring processes.
  • Own and evolve sourcing strategy across Data and Engineering, building differentiated approaches through outbound campaigns, networks, events, and community partnerships to engage top-tier technical talent.
  • Champion candidate experience at the highest level, ensuring Faire's process is transparent, efficient, and compelling from first touchpoint to offer acceptance.
  • Lead complex offer negotiations end-to-end, providing expert guidance on competitive compensation, equity positioning, and closing strategies for senior technical hires.
  • Maintain high data integrity within Greenhouse and produce sophisticated pipeline reporting and hiring insights that directly influence leadership decision-making.
  • Act as a senior resource across the recruiting team, elevating best practices, sponsoring process improvements, and helping shape how Faire approaches technical recruiting at scale.
  • Champion Faire's values and DEI commitment, ensuring inclusive pipelines and equitable hiring practices across all searches.

Qualifications

  • 5+ years of full-cycle recruiting experience, with at least 3 years focused on senior technical hiring across data and/or engineering disciplines (machine learning, data science, software engineering, or related fields).
  • Demonstrated ability to close Staff+ and leadership-level technical candidates in highly competitive markets.
  • Experience operating as a strategic partner to senior engineering or data leadership, with the credibility and business acumen to influence at the executive level.
  • Experience recruiting in fast-paced, high-growth environments (startup or scaling tech strongly preferred).
  • Strong organizational skills with the ability to manage a complex portfolio of searches, stakeholders, and pipelines simultaneously.
  • Data-driven mindset with a track record of using pipeline and hiring insights to drive strategic decisions.
  • Exceptional communication and influencing skills, able to navigate ambiguity, build trust quickly, and drive alignment across competing priorities.
  • Passionate about candidate experience, employer branding, and building inclusive, high-performing teams.

Salary Range

San Francisco, CA: the pay range for this role is $148,000 to $203,500 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.

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)

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
697,399 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$39k – $101k per year (Estimated) • In office • 3+ years exp • Coimbatore
Python
AI/ML
LangGraph
LangChain
Fine-tuning
Multimodal AI
AI Agents
PyTorch
LLM
RAG
Hugging Face
Context Engineering
LLM Guardrails
Machine Learning
Apply
Data Engineer 1 day ago
$18k – $42k per year (Estimated) • Equity • In office • Full-Time • 4+ years exp • Bachelor's Degree • Cape Town
Python
SQL
C#
Databases
MS SQL
AI/ML
Machine Learning
DevOps
Azure
CI/CD
Analytics
ETL/ELT
Dimensional Modeling
Apply
$56k – $145k per year (Estimated) • Remote/Hybrid • 3+ years exp • PhD
Python
C#
AI/ML
Copilot
LangGraph
LangChain
Claude Code
Prompt Engineering
Multimodal AI
AI Agents
LLM
RAG
OpenAI Codex
OpenAI Agents SDK
Edge AI
Agentic Workflows
Machine Learning
Management
WhatsApp
Apply
$75k – $113k per year • Remote/Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • Galway
Python
Databases
Apache Kafka
AI/ML
Machine Learning
DevOps
GCP
Helm
Dynatrace
Prometheus
Azure
CI/CD
AWS
Docker
Kubernetes
Grafana
Apply
$82k – $135k per year • In office • Full-Time • Frankfurt am Main
Python
SQL
AI/ML
LangGraph
AutoGen
LangChain
Scikit-learn
Prompt Engineering
Function Calling
AI Agents
LLM
RAG
Tool Use
Machine Learning
Apply
$171k – $236k per year • Remote/Hybrid • 4+ years exp • Bachelor's Degree • Toronto
Python
SQL
AI/ML
Machine Learning
DevOps
Docker
Apply
$184k – $253k per year • Remote/Hybrid • 6+ years exp • New York
AI/ML
Machine Learning
Apply
Sourcing Lead 4 days ago
$132k – $182k per year • Remote/Hybrid • 4+ years exp • San Francisco
AI/ML
Machine Learning
Apply
$136k – $274k per year (Estimated) • Remote/Hybrid • 5+ years exp • Bachelor's Degree • Kitchener
JavaScript
Java
Kotlin
TypeScript
Java
Hibernate
Databases
MySQL
CockroachDB
AI/ML
AI Agents
Machine Learning
Frontend
Next.js
React.js
Mobile
JUnit
DevOps
AWS
Apply
$237k – $326k per year • Remote/Hybrid • 10+ years exp • New York
SQL
AI/ML
Cursor
Claude Code
OpenAI Codex
Machine Learning
Apply
$59k – $126k per year (Estimated) • Remote/Hybrid • Contractor • 1+ year exp • Bachelor's Degree • San Francisco
Management
Microsoft Office
Apply
$97k – $188k per year (Estimated) • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • New York • Boston • San Francisco • Washington • Seattle
Management
Outlook
Microsoft Office
Apply
$133k – $338k per year • Remote • Full-Time • 12+ years exp • Associate's Degree • New York • Milwaukee • Dallas • Columbus • Kirkland
Python
Databases
Neo4j
Amazon Neptune
AI/ML
Airflow
Prompt Engineering
Multimodal AI
AI Agents
NLP
TensorFlow
PyTorch
LLM
Knowledge Graph
Machine Learning
DevOps
GCP
Azure
AWS
Analytics
ETL/ELT
Apache NiFi
Apply
$123k – $317k per year • In office • Full-Time • 10+ years exp • Master's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
Management
Agile
Marketing
Salesforce
Apply
$99k – $205k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • San Francisco
DevOps
SLI/SLO/SLA
Windows
Management
ITIL
Service Desk
Apply
See all jobs
This is one of many
697,399 more open roles from verified company boards, updated every day.