Director of Engineering, Business Messaging Optimization

What you'll do

• Lead and grow a multi-team engineering organization, including engineering managers and senior technical leaders.
• Set the technical strategy and roadmap for message retrieval, ranking, quality modeling, auctions, pricing, and delivery infrastructure.
• Improve revenue and recipient experience through quality-aware optimization, privacy-conscious measurement, and reliable operations.

What they ask for

• 10+ years of technical industry experience in software engineering.
• 7+ years of engineering management experience, including managing other engineering managers.
• Experience delivering large-scale impact with machine learning and cross-functional partners, and building engineering organizations across multiple teams or product areas.
• Experience setting multi-team engineering strategy and driving measurable revenue impact through machine learning and infrastructure investments, validated by online experimentation.

Nice to have

• Experience with notifications, messaging, or other supply-constrained surfaces where frequency, timing, and user fatigue matter.
• Experience building machine learning systems under privacy constraints or limited signal availability.

Pay

$271,000/year to $347,000/year (base salary)

Tools

Machine Learning

AI focus

Applies machine learning to optimize marketing message delivery, ranking, quality, and revenue, with privacy-conscious signals and experimentation.