Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
We’re a small and fast-moving team with a simple mandate: remove friction from how Redis goes to market. We build systems, workflows, and AI-powered tools that help Marketing and SDR teams move faster, work smarter, and generate more pipeline with less manual effort.
We’re looking for someone who is naturally curious, self-motivated, and a problem-solver who thrives in environments where the opportunities for impact are massive, and they get to own the end-to-end workstream.
About the roleAs a GTM Engineer focused on Marketing and SDR teams, you’ll sit at the intersection of engineering, automation, and go-to-market strategy. Your mission is to identify high-leverage problems in how we generate demand and engage prospects, and then build solutions that materially improve outcomes.
You’ll own the full lifecycle:
- Uncovering pain points or inefficiencies with Marketing and SDR teams
- Defining what “better” looks like
- Designing the solution
- Building, shipping, and iterating
This role is ideal for someone who enjoys both thinking like a product manager and building like an engineer—and who wants their work to directly influence pipeline, velocity, and customer engagement.
You’ll partner closely with Marketing Operations and collaborate with peers across Revenue Operations, Customer Success, and Solutions Architecture to deliver scalable, secure, and measurable improvements to how Redis goes to market.
What you’ll do
- Partner with Marketing and SDR teams to identify, scope, and prioritize high-impact opportunities for automation and AI.
- Design and build workflows, automations, and data pipelines that make the jobs of the Marketing and SDR teams faster, easier, and/or more productive.
- Explore APIs, SDKs, and emerging AI tools to test new ways of accelerating GTM execution.
- Be equal parts product manager, translating customer needs into features, and an engineer building solutions.
- Balance speed with durability by partnering with operations and systems teams to ensure solutions are secure, maintainable, and scalable.
- Operate with autonomy — owning projects from problem discovery through solution delivery and iteration.
What skills we’re looking for
Must have
- 2–5 years of experience building or supporting GTM systems in a GTM Engineering, Business Technology, Solutions Engineering, or similar role.
- Hands-on experience applying AI, automation, or APIs to problems (you should be able to walk us through concrete examples).
- Familiarity with modern AI and automation tools (e.g., OpenAI, Cursor, n8n, v0/Vercel, Glean, or similar).
- Strong problem-solving skills and comfort working through ambiguity.
- A bias for action: you move from idea → experiment → solution quickly.
- Clear communicator who can work effectively with both technical and non-technical partners.
- Thrives in a small, high-growth environment with significant ownership and autonomy.
Nice to have
- Ability to write prototype- or production-level code in Python, JavaScript/TypeScript, or a similar language.
- Experience with GTM platforms such as Salesforce, Marketo, Pocus, Asana, or related tools.
- Exposure to experimentation, analytics, or performance measurement in a GTM context.
The estimated gross base annual salary range for this role is $90,000 – $125,000 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available.
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