Marketing Operations Specialist / GTM Engineer

Location: Remote (US Timezone) Type: Full-time (contract option) Compensation: $80k-$110k based on experience and location Level: Junior / Mid-level IC About Signadot Signadot is a Kubernetes-native developer infrastructure company building the cloud-native verification layer for the agentic era. Our platform enables engineering organizations to build, verify, and ship microservices at scale. We are high-growth and scaling up, with a growing list of enterprise customers including Brex, Miro, and SoFi. The Role We are looking for a Marketing Operations Specialist to be the operational backbone of our GTM motion. You will work directly under the Head of Growth, taking strategy and direction and turning it into repeatable, automated systems that run reliably without constant oversight. This means building and optimizing demand generation flows across, operational automations, and reporting systems that streamline how our marketing function works day to day. 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 Own building and optimizing the operational flywheel to support our GTM motion Design, build, and optimize demand generation flows that align with our strategy Create and maintain agentic workflows to automate core GTM functions Continuously monitor and optimize paid campaigns across Google Ads, LinkedIn, Reddit, and X Build and own reporting systems that surface actionable insights to drive decision-making Design and run experiments to identify new avenues for growth and optimization Own day-to-day task and project management across marketing initiatives Ensure consistent data hygiene across platforms to support reporting and attribution What We Are Looking For 2-5 years of experience in marketing operations, growth operations, demand generation, or a closely related function A systems builder mindset, you naturally turn ad hoc requests into repeatable processes Data-driven approach that focuses on iterating to identify what works and cut what doesn’t 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 Experience building reporting systems that synthesize data across channels for actionable insights 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 Background in B2B SaaS or developer tools Familiarity with the Kubernetes or cloud-native ecosystem