Posted
29 Jun 2026
Last seen
04 Aug 2026
Location
Remote
Lifecycle
mature
Grade
D
yc-startup vc-backed
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
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