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Salary
$80k – $110k per year
Location
Remote (United States, Argentina, Brazil, Canada, Colombia, Mexico, Bolivia, Chile, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Paraguay, Peru, Uruguay, Venezuela)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Spin up lightweight Kubernetes sandboxes for every code change from developers or coding agents. Validate against real dependencies without duplicating infrastructure.

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 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
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