Head of Ads Quality Engineering

Job not on LinkedIn

November 20

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $230k - $350k / year

⏰ Full Time

🔴 Lead

🔧 QA Engineer (Quality Assurance)

🦅 H1B Visa Sponsor

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Whatnot

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Marketplace • eCommerce

Whatnot is a dynamic online marketplace platform that facilitates live shopping experiences. Users can buy, sell, and discover products they love, engaging in a community-driven environment through live shows. Whatnot ensures a secure shopping experience by vetting sellers and offering protection for unsatisfactory purchases. The company values privacy, providing consent management tools for their users to control cookie usage and personal data processing.

201 - 500 employees

Founded 2021

🏪 Marketplace

🛍️ eCommerce

💰 $260M Series D on 2022-07

📋 Description

• Build and lead a world-class team of machine learning and backend engineers • Own the technical strategy for our ads quality systems, developing advanced ML models to surface the most engaging and relevant promoted content • Define the technical direction, mentor exceptional engineers, and work cross-functionally to build the next generation of ads products • Ensure the most relevant, high-performing ads and promotions reach users across all our ad formats and discovery experiences. • Own the retrieval and ranking stages in the ads delivery funnel, balancing relevance for users and ROI for advertisers.

🎯 Requirements

• M.S. or Ph.D. in Computer Science, Machine Learning, Economics, Statistics, or equivalent professional experience • 10+ years of industry experience building and shipping production machine learning systems at scale • 5+ years of leadership experience managing engineering or analytics teams • Strong expertise in ML fundamentals: ads system, marketplace incentives systems, ranking systems, recommendation algorithms, retrieval, personalization from ground up • Experience with large-scale data pipelines, feature engineering, and model serving infrastructure • Strong communication and collaboration skills; ability to work effectively across product, data, and business teams • Demonstrated ability to balance innovation with shipping and reliability • A collaborative mindset — especially with product, data science, and ML counterparts — to drive measurable business outcomes. • Strategic and technical leadership that raises the bar for engineering excellence. • Bonus: Proficiency in Python and/or Scala; familiarity with ML frameworks (e.g PyTorch, XGBoost, etc.)

🏖️ Benefits

• Generous Holiday and Time off Policy • Health Insurance options including Medical, Dental, Vision • Work From Home Support • Home office setup allowance • Monthly allowance for cell phone and internet • Care benefits • Monthly allowance for wellness • Annual allowance towards Childcare • Lifetime benefit for family planning, such as adoption or fertility expenses • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally • Monthly allowance to dogfood the app • Parental Leave • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.