Engineering Manager, Agents (Agentic Marketing Platform)

What we're looking for

We need a hands-on engineering leader with at least 1 year of formal people management experience (not just tech lead or informal mentoring). You should have a strong software engineering background and a track record of shipping major products in a high-growth, early-stage startup, ideally at a company like Ramp or Rippling that grew its product, scale and headcount quickly. You should be comfortable moving between writing code during intense sprints and handling backlog management, cross-functional work and people development. Bonus points for a CS degree from a top-tier program, founder or founding engineer experience, and hands-on experience building agentic or LLM-based products.

Note: Candidates who have only worked at big tech companies (e.g., Amazon, Google, FAANG) are typically not a fit. Big tech experience combined with startup or founder experience is welcome.

Context: This is a new seat driven by growth, not a backfill. Current managers have too many direct reports. This hire will take over one of the pods within Agents, which supports Hightouch's Agentic Marketing Platform (AMP). AMP is one of the company's biggest strategic investments and central to its goal of becoming the AI-native operating system for marketing. The role reports to Corey, SVP of Engineering. You'll start with roughly 4–8 direct reports, depending on which pod best matches your expertise.

What you'll do

• Lead product development for your AMP pod: roadmap and deliver significant features and products while keeping a high technical bar and making practical tradeoffs.
• Own pace of execution: combine leadership and technical skill to help the team ship faster. Jump into the code yourself when the business needs it.
• Work closely with product, design, go-to-market and other engineering teams to build systems for content generation, context management, insights and campaign orchestration across ad and lifecycle platforms.
• Build agentic systems that combine foundation models with rich customer data, brand guidelines and campaign performance history. The goal is AI marketing output that is grounded, trustworthy and ready for production.
• Lead recruiting for your team from start to finish: identify hiring needs, design how candidates are evaluated, and hire high-impact engineers.
• Improve reliability and grow your people: reduce incidents, catch issues before customers do, maintain strong incident management practices, and mentor team members to keep them engaged and growing.

Compensation: $220K–$400K USD base salary, the same regardless of location, plus meaningful equity. Candidates can choose how to split their equity, which is discussed at the offer stage.