GTM Engineering Manager

Tremendous•New York, NY

2d•$190,000 - $230,000•Remote

About The Position

Tremendous is hiring a GTM Engineering Manager to lead and develop its team of GTM engineers. The Revenue Operations team operates like a product and engineering organization: planners define needs across marketing, sales, and customer success, while GTM engineers design and build solutions using LLMs, workflow tools, and code. The manager will own the team’s practices, infrastructure, and employee growth while remaining hands-on and building systems that help the team work more efficiently. The position is fully remote within the United States.

Requirements

At least 7 years of experience across RevOps, GTM engineering, marketing or sales operations engineering, or internal tools, including hands-on building.
At least 2 years managing builders or technical roles, with examples of developing people into stronger roles.
Ability to build AI agents and use workflow tools such as Cargo, Clay, n8n, Zapier, or similar, as well as APIs, webhooks, and Git.
Experience establishing engineering practices such as review, documentation, and rollback for systems used by others.
Fluency across the GTM funnel, including marketing, sales, and customer success.
Strong written communication skills and comfort working in a documentation-first culture.
Autonomous and self-directed working style.
High empathy and care for teammates and the users of the team’s systems.

Nice To Haves

Deep HubSpot experience, especially workflows and APIs.
Daily use of Cursor, Claude, or similar AI-assisted development tools.
SQL and Snowflake experience.
Experience building a GTM engineering or RevOps engineering team from a small group.
Usage-based or fintech go-to-market experience.

Responsibilities

Manage and develop GTM engineers working across marketing, sales, and platform projects, and hire additional team members.
Set engineering practices for version control, code review, documentation, and ownership of production workflows, agents, and integrations.
Build team infrastructure, including agents and tools for assigning, tracking, and maintaining work.
Partner with GTM planners on the roadmap by advising on feasibility and sequencing, and assigning builders to projects.
Represent the team to the AI enablement engineering team and shape the transition of GTM engineering prototypes to long-term engineering ownership.
Own relationships with technical vendors the team builds on, such as Cargo.
Build systems and remain hands-on in the work.