Faire

Company Name: Faire
Job Title: Senior Technical Program Manager, Engineering
Job Description: Senior Technical Program Manager, Engineering **Role Summary** Lead high-impact cross-functional programs spanning engineering, product, data, and AI/ML domains. Collaborate with senior leadership to define strategy, align cross-team objectives, and drive program execution from inception to delivery. Ensure scalable processes to accelerate delivery and measure business impact. **Expectations** - 5+ years proven technical program management experience in software/platform engineering environments. - Track record of delivering complex, company-critical initiatives with measurable outcomes. **Key Responsibilities** - Champion strategic programs across engineering, product, and business teams. - Define program goals, milestones, and success metrics aligned with organizational priorities. - Manage dependencies, surface risks, and prioritize program trade-offs. - Develop and refine program management practices to enhance delivery efficiency and quality. **Required Skills** - Strong technical fluency to rapidly grasp new systems and architectures. - Ability to translate technical complexity into actionable plans. - Excellent cross-functional communication and stakeholder influence. - High level of organization and execution focus in ambiguous settings. **Education & Certifications** - Bachelor’s degree in engineering, computer science, or related field. Advanced degree or project management certification preferred.

Kitchener, Canada

Hybrid

Senior

14-12-2025

Company Name: Faire
Job Title: Security Compliance Lead (GRC)
Job Description: Job Title: Security Compliance Lead (GRC) Role Summary: Design, implement, and scale the Governance, Risk, and Compliance (GRC) program. Drive policy development, risk assessment, audit readiness (SOX ITGC), and compliance certifications (ISO 27001, SOC 2 Type II, CCPA, GDPR). Partner with engineering, IT, legal, finance, and external auditors to embed risk management into daily operations and report on compliance metrics. Expectations: • 8+ years in Security & IT Governance, Risk, and Compliance. • Big 4 audit experience or equivalent in regulated tech/financial environments. • Proven record building GRC frameworks, policies, and audit programs. • Experience with SOX ITGC, ISO 27001, SOC 2 Type II. • Strong cross‑functional collaboration, communication, and analytical skills. Key Responsibilities: 1. Develop and execute the GRC roadmap and policy framework. 2. Conduct vendor security reviews and employee awareness training. 3. Manage SOX ITGC readiness: define scope, document controls, and enhance audit processes. 4. Lead efforts to achieve ISO 27001, SOC 2 Type II, CCPA, GDPR, and related certifications. 5. Partner with external auditors for security compliance certifications and audit reporting. 6. Report status, metrics, and KPIs to leadership and stakeholders. 7. Continuously improve risk and compliance processes to align with strategic objectives. Required Skills: - Security & IT governance, risk management, and compliance expertise. - Audit and certification experience (SOX ITGC, ISO 27001, SOC 2 Type II, CCPA, GDPR). - Proficiency with GRC tools and technologies. - Cross‑functional collaboration with engineering, IT, legal, finance. - Strong written and verbal communication. - Analytical, results‑driven mindset. Required Education & Certifications: - Bachelor’s degree in Information Security, Risk Management, Business, or related field. - Relevant certifications such as CISSP, CISA, CISM, or equivalent. - ISO 27001 Lead Implementer/Lead Auditor, SOC 2, or SOX ITGC knowledge is preferred.

San francisco, United states

Hybrid

Senior

26-12-2025

Company Name: Faire
Job Title: Staff Data Scientist / Machine Learning Engineer - Listing Quality
Job Description: **Job title:** Staff Data Scientist / Machine Learning Engineer – Listing Quality **Role Summary:** Lead the development of machine‑learning models that enhance product listing quality on an e‑commerce marketplace. Apply deep learning, large‑language‑model fine‑tuning, and human‑in‑the‑loop techniques to improve image, text, and attribute quality, detect duplicates and variants, and drive end‑to‑end solutions with cross‑functional teams. Mentor junior data scientists and set the technical roadmap for the Listing Quality pod. **Expectations:** - 5+ years of industry experience solving real‑world ML problems, ideally in e‑commerce. - Proven ability to design, prototype, and deploy deep learning and LLM solutions. - Strong programming fluency (Python, PyTorch/TensorFlow). - Excellent communication and cross‑team collaboration skills. - Demonstrated mentorship of senior‑level data scientists and independent leadership of model development. **Key Responsibilities:** 1. Define and execute the data‑science strategy for product‑listing quality. 2. Build, fine‑tune and scale deep‑learning and LLM models to detect and correct listing issues (image/text quality, attribute extraction, duplicate identification, variant detection). 3. Implement human‑in‑the‑loop training workflows and maintain high‑accuracy pipelines. 4. Lead the cross‑functional Listing Quality pod, coordinating with product, design, engineering, analytics, and operations to deliver end‑to‑end solutions. 5. Mentor and guide junior and senior data scientists, fostering skill development and knowledge transfer. 6. Own the model development lifecycle: data prep, experimentation, evaluation, deployment, and monitoring. **Required Skills:** - Machine‑learning engineering (deep learning, transformer models, multi‑modal LLMs). - Experience with LLM fine‑tuning, multi‑modal fusion, and human‑in‑the‑loop workflows. - Strong software engineering practices (version control, CI/CD, experiment tracking). - Deployment expertise for large‑scale inference (10B+ token models) with cost‑efficiency focus. - Familiarity with e‑commerce data and listing quality challenges. - Excellent analytical, communication, and leadership capabilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Engineering, or related STEM field. - Master’s or PhD in Computer Science, Statistics, or a closely related discipline highly preferred.

Toronto, Canada

Hybrid

Mid level

25-12-2025

Company Name: Faire
Job Title: Senior Data/ML Recruiter
Job Description: Job title: Senior Data/ML Recruiter Role Summary: Lead full‑cycle recruiting for senior and niche data science & machine learning roles in a high‑growth tech environment. Partner with hiring managers and executives to define roles, design data‑driven sourcing strategies, manage the candidate journey, and negotiate offers while maintaining a positive employer brand and inclusive hiring practices. Expectations: - Deliver senior‑level ML/Data talent in competitive markets. - Manage multiple concurrent searches with strong organizational discipline. - Own candidate experience and offer process end‑to‑end. - Provide data‑based hiring insights to leadership. - Mentor junior recruiters and promote best practices. Key Responsibilities: 1. Design and execute comprehensive sourcing campaigns (outbound, networking, events, partnerships) to attract top ML and data talent. 2. Partner with hiring managers and executives to refine role requirements, calibrate compensation, and implement structured, data‑informed recruiting processes. 3. Conduct full‑cycle recruiting (role design, sourcing, interviewing, evaluation, offer, close) for senior+ positions. 4. Own the offer phase: guide compensation, negotiate terms, and close candidates. 5. Maintain accurate data in the applicant tracking system (Greenhouse); generate actionable reports and insights. 6. Champion candidate experience: ensure transparency, efficiency, and engagement throughout the recruitment lifecycle. 7. Mentor and collaborate with the recruiting team; share best practices and elevate technical recruiting standards. 8. Advance DEI initiatives by building inclusive pipelines and fair hiring processes. Required Skills: - 4+ years of full‑cycle recruiting experience, with at least 2 years focused on technical/data roles (ML, Data Science, etc.). - Proven track record closing senior technical candidates in highly competitive markets. - Ability to manage multiple pipelines and stakeholders simultaneously. - Strong organizational and prioritization skills. - Data‑driven mindset: produce pipeline metrics, hiring insights, and influence decisions. - Excellent communication – verbal, written, and influencing. - Passion for candidate experience, employer branding, and inclusive hiring. - Experience in fast‑paced, scaling tech or startup environments. Required Education & Certifications: - Bachelor’s degree in Human Resources, Business, or related field (preferred). - Any recruiting certifications (e.g., AIRS, HRCI, SHRM) are a plus.

Toronto, Canada

Hybrid

Senior

25-12-2025

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