Director of Engineering, Marketing Agent Platform

Attentive•New York, NY

18h•$340,000 - $390,000•Remote

About The Position

Attentive is building the next generation of its decision-making system: an autonomous marketing agent designed to transform how brands plan, execute, and optimize their marketing. Marketers will set the goals and boundaries, while the platform develops strategies, takes action, measures results, and continuously improves over time. In this role, you’ll build the engineering systems that make that vision possible. You’ll work at the intersection of agentic planning, real-time behavioral signals, platform capabilities, experimentation, and reliable execution at massive scale. Your work will help turn increasingly sophisticated AI systems into dependable products that can make and act on millions of marketing decisions. The opportunity extends beyond Attentive’s own channels. Through APIs and MCP, we’re building toward a future where this intelligence can operate across a brand’s broader marketing stack, including external email providers, advertising platforms, websites, and custom agents. This is an opportunity to help evolve Attentive from a platform that powers messages into one that coordinates and continuously improves a brand’s broader marketing program.

Requirements

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).
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.

Responsibilities

Build the engineering systems that make the vision of an autonomous marketing agent possible.
Work at the intersection of agentic planning, real-time behavioral signals, platform capabilities, experimentation, and reliable execution at massive scale.
Turn increasingly sophisticated AI systems into dependable products that can make and act on millions of marketing decisions.
Build toward a future where this intelligence can operate across a brand’s broader marketing stack, including external email providers, advertising platforms, websites, and custom agents.
Help evolve Attentive from a platform that powers messages into one that coordinates and continuously improves a brand’s broader marketing program.