Marketing Operations Specialist / GTM Engineer

About Signadot

Scalable validation infrastructure for AI agents

Tech description:

Our platform is written in Golang and leverages technologies like Kubernetes and Service Meshes.

Job description:

Location: Remote (Americas — must overlap with US business hours)

Type: Full-time (Contract option)

Compensation: $80k-$110k based on experience and location

**About Signadot**

[Signadot](https://www.signadot.com/) is a Kubernetes-native developer infrastructure company. Our product lets developers and coding agents build and verify microservices at scale using lightweight ephemeral environments on a shared cluster. We are building the verification layer for an era where agents write a growing share of cloud-native code, and we are growing our go-to-market motion to match.

**The Role**

We are looking for a Marketing Operations Specialist to be the operational backbone of our GTM motion. This is a full-scope marketing ops role, and a core part of it is functioning as a **GTM Engineer**: someone who builds the automated systems, integrations, and agent-based workflows that make our go-to-market motion run without constant manual oversight. You will take strategy and direction and turn it into repeatable, automated systems — from demand generation flows to operational automations to reporting pipelines.

A core part of this role is being AI-native. We run on agentic tools, and we want someone who is genuinely excited to learn and implement modern AI-native best practices. You will build repeatable agent-based workflows that do real operational work, not one-off experiments. If you have not done this yet but you are hungry to learn it, that curiosity matters more than a finished portfolio.

You will own the day-to-day so that leadership can stay focused on forward-looking strategy and bigger initiatives. That includes task management, campaign monitoring, optimization, and clear reporting upward so we can make fast, informed strategic decisions.

**What You Will Do**

* Translate strategy and guidance into repeatable, ideally automated operational workflows
* Build and optimize demand generation flows across paid and owned channels
* Design and maintain operational automations that reduce manual work — a core GTM engineering function of this role
* Build and run reporting systems that surface the metrics leadership needs to make decisions
* Monitor active campaigns, flag what needs attention, and drive ongoing optimization
* Own day-to-day task and project management across marketing initiatives
* Build repeatable agent-based workflows using our AI tooling
* Report upward with clear, concise summaries of performance and recommendations

**What We Are Looking For**

* 2 to 5 years of experience in marketing operations, growth operations, GTM engineering, demand generation, or a closely related function
* A systems builder mindset, you naturally turn ad hoc requests into repeatable processes
* Hands-on experience with marketing and analytics tooling, ideally several of: HubSpot, PostHog, Notion, Google Search Console, Google Ads, and paid social platforms (LinkedIn, Reddit, X)
* Strong appetite for AI-native ways of working and a track record of, or clear desire for, building agent-based workflows
* Basic project management experience and the ability to own execution end to end
* Comfort with light technical work, or a genuine ability and desire to learn it: setting up a local environment, working with agent skills, and using GitHub
* Clear written communication, especially the ability to summarize complex performance data for decision makers
* Self-directed and reliable, you can be handed a goal and own the path to it

**Nice to Have**

* Experience marketing to a technical audience, especially developers, platform engineers, or DevOps and DevEx teams
* Experience with Claude Code/Cowork
* Familiarity with the Kubernetes or cloud-native ecosystem
* Background in B2B SaaS or developer tools

Skills:

Git, Data Analytics, Marketing design, AI Agents