Director of Engineering, Marketing Agent Platform

• 3+ years managing engineers, 8+ years engineering
• Has seen and helped build engineering excellence at a top-tier organization. Sets an ambitious bar for talent and execution, knows how to hire and lead an A+ team, and brings strong technical opinions with the curiosity to challenge their own assumptions.
• Has worked on building large-scale reinforcement learning systems (not the ML, but the data, infra, and serving platforms beneath it); examples of where you might find these engineers are from frontier labs,  AI-native companies using RL for fine-tuning, AI labeling companies (Handshake, Mercor, ScaleAI), or other tech companies that have built web-scale production-grade reinforcement learning system
• Understands the interface between product engineering, ML, and data science, and is fluent enough to be a real partner. Understands what a model needs from the platform, without needing to own the model.
• Has shipped agentic or LLM-backed systems and knows the production tradeoffs of tool use, orchestration, and retrieval
• Strong on distributed, data-heavy systems: streaming, event-driven, cost-aware inference
• Tracks the field closely, has a real view on what shipped last quarter and why it matters, and has killed their own work when something better arrived
• Still writes code. Hires well, gives direct feedback, holds a high performance bar, and builds accountability without drama.

• AI at massive data scale: You know how to build intelligent systems that take advantage of rich, high-volume behavioral data and translate it into better decisions and experiences.
• Startup mindset, scaled environment: You move quickly, embrace ambiguity, and take ownership while building within the resources and reach of an established Cloud 100 company.
• High-impact ownership: You’re energized by working on one of the company’s biggest strategic bets, with visibility and impact across senior leadership and the board.
• Technical and product leadership: You want meaningful influence over the team, architecture, technical direction, and roadmap, not just a predefined set of engineering tasks.

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

• The US base salary range for this full-time position is $340,000 - $390,000 annually + commission + equity + benefits
• Our salary ranges are determined by role, level and location
• This role is salaried non-exempt and eligible for overtime compensation

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