# Manager - Developer Productivity, AI Tools

**Company:** [Gusto](https://hotfix.jobs/companies/gusto)
**Location:** Denver, CO, New York, NY, San Francisco, CA
**Role:** Engineering Management
**Salary:** $290k – $305k/yr
**Experience:** 8+ years
**Skills:** Agentic Coding, Claude Code, Cursor, Codex, Ai Code Review, Ci Systems, Sandboxing, Runtime Isolation, Secrets Handling, Permission Scoping, Prompt Injection, Infrastructure Contracts, Vendor Management, Slack, Cli
**Posted:** 2026-08-24

> Leads the team and platform responsible for Gusto’s agentic coding environments, AI code review, and supporting CI and security infrastructure. The role requires substantial engineering leadership experience, hands-on use of agentic coding tools, vendor-contract ownership, and strong judgment on AI autonomy, risk, and infrastructure spending.

## Job Description

## Responsibilities
- Own the roadmap for agentic coding across interactive and autonomous modes, including Slack, web, CLI, and multi-step, multi-repository orchestration.
- Set the accuracy and coverage roadmap for AI code review, balancing review quality, pull-request merge speed, and inference cost using data.
- Define the security and risk posture for autonomous coding agents, including sandboxing, permission scoping, runtime isolation, secrets handling, and blast-radius containment.
- Establish and enforce AI infrastructure spending guardrails using usage data.
- Lead, recruit, mentor, and grow a team of senior engineers; run hiring loops and make calibration and leveling decisions.
- Partner with engineering leadership and the CTO on AI-native software development strategy.

## Requirements
- 8+ years of engineering people leadership experience, including managing senior engineers through ambiguous and rapidly changing technical problems.
- Daily, hands-on experience with agentic coding tools such as Claude Code, Cursor, Codex, or equivalent.
- Experience owning a significant vendor or infrastructure contract from technical requirements through legal and procurement close.
- Ability to make autonomy and risk tradeoff decisions for AI systems, including prompt injection, credential exposure, and permission bypass risks.
- Experience leading across multiple ambiguous technical problem domains.
- Strong direct communication and experience briefing senior or executive stakeholders on strategy.
- Self-directed management style focused on removing roadblocks and setting direction.

## Compensation and Benefits
- Cash compensation target: **$240,000–$260,000** in Denver and most remote locations; **$290,000–$305,000** in San Francisco and New York.
- Full-time employees receive base pay, benefits, and equity in the form of RSUs.
- Employees based in Denver, San Francisco, and New York offices are expected to work onsite approximately 2–3 days per week or more depending on the role.

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