Senior Product Engineer - Listing Quality

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.

As a Senior Product Engineer on the Listing Quality team, you'll make every product on Faire look and read its best. We use computer vision and LLMs to improve hero images, crops and product descriptions across millions of listings, and we prove the impact through online experiments.

You'll partner closely with Brand Data Science. They own model quality. You own getting model outputs into the product reliably, at catalog scale, and measurably. When it's faster to test an idea yourself, you do: tune the prompt, build the eval, and run the experiment.

Responsibilities:

• Build and own the backend services and data paths that take model-generated enhancements from batch pipelines into the live product
• Design the infrastructure that makes catalog-scale generation dependable: backfills, freshness and staleness detection, coverage monitoring, and versioning of generated content
• Shorten the loop from data science prototype to production experiment through clean handoff contracts, output auditing tools and evaluation hooks
• Ship changes behind experiment flags, and own test plans, launch readiness and post-launch health
• Make cost, latency and quality tradeoffs when running LLM and vision workloads over large datasets
• Mentor fellow engineers on both technical and product judgement

Qualifications:

• 5+ years of experience
• Proficiency in at least one of Java, Kotlin, or JavaScript
• Comfort with agentic coding tools
• Familiarity with HTML, CSS, TypeScript, and frameworks/libraries like React and Next.js
• Experience building or operating data pipelines (Airflow or similar, a warehouse like Snowflake)
• Comfort working with ML or LLM outputs in production
• Fluency with experimentation, including designing a rollout and telling a real result from noise
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience

Benefits:

• Flexible paid time off, plus company-wide recharge days
• Paid parental leave up to 16 weeks
• Comprehensive health coverage, with options varying by location
• Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance
• Mental health support and coaching through Modern Health
• Stipends to support your professional development, wellness, and work from home needs
• Employer-sponsored retirement plan, dependent on country of employment