Growth Engineer
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 30 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 3+ years required
- Where you can live
- US only
- Skills and tools
- salesforce, hubspot, outreach, sql, python, social media
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $150K–200K/yr
- Experience
- 3+ years required
- Employer publication date
- 29 October 2026
- First recorded by Psst
- 30 October 2026
- Last checked at the source
- 10 November 2026
About the job
ABOUT the company
The company is the financial control plane for infrastructure cost management. The infrastructure stack is rapidly changing as companies leverage cloud, SaaS and increasing AI vendors to run their companies. As a result there’s a need for these companies to better allocate, govern and forecast costs using a platform like the company.
Our platform is used first and foremost by developers who have been empowered to be held responsible for infrastructure efficiency but done in partnership with finance and FinOps teams. We provide engineering, finance, and FinOps teams with the tools they need to make informed decisions about their cloud infrastructure and ultimately their business.
We're a fast-growing, remote-first company building products for some of the most innovative technology companies in the world.
ABOUT THE ROLE
We're looking for a Growth Engineer (Marketing) to help build the next generation of AI-powered marketing and growth systems at the company.
We're rethinking how a modern marketing organization operates. Rather than relying on traditional, manual processes to execute campaigns, manage marketing operations, and generate pipeline, we're building AI agents and automated workflows that allow our team to operate more efficiently and at greater scale.
We've already begun deploying AI-powered systems across demand generation, RevOps, social media, and outbound prospecting. Now we're looking for someone who can build on that foundation, create new capabilities, and help us push the boundaries of what's possible with AI.
This is a highly hands-on role at the intersection of engineering, marketing, and growth. You'll design, build, deploy, and optimize AI agents and automation that directly impact how the company acquires and engages customers.
We're looking for someone who enjoys solving ambiguous problems, experimenting with new technologies, and building practical solutions that drive measurable business outcomes. You don't need to come from a traditional marketing background, but you should understand how technology can be used to accelerate growth.
WHAT YOU'LL DO
- Build AI-powered growth systems: Design, develop, and maintain AI agents and automated workflows that support demand generation, outbound prospecting, campaign execution, and marketing operations.
- Own marketing automation infrastructure: Integrate AI systems with tools such as Salesforce, HubSpot, and other marketing and sales platforms to automate workflows and improve operational efficiency.
- Develop intelligent agents: Build and optimize agents capable of performing tasks such as account research, prospect identification, personalized outreach, campaign creation, and performance analysis.
- Scale outbound and pipeline generation: Partner with Sales and Marketing to develop automated prospecting workflows, improve targeting, and increase qualified pipeline.
- Automate campaign execution: Create systems that can launch, monitor, test, and optimize marketing campaigns with appropriate human review and approval processes.
- Connect product and marketing data: Build workflows that leverage product updates, customer insights, and CRM data to inform marketing activities and improve personalization.
- Experiment with emerging AI technologies: Evaluate new models, agent frameworks, orchestration tools, and automation platforms to identify opportunities for improving our growth engine.
- Measure and optimize performance: Build monitoring, reporting, and feedback loops to evaluate the effectiveness, reliability, and business impact of automated systems.
- Ensure reliability and quality: Implement safeguards, testing, monitoring, and approval processes that keep automated workflows accurate, secure, and aligned with the company's brand.
- Collaborate across teams: Work closely with Marketing, Sales, RevOps, Product, and Engineering to identify opportunities where technology can eliminate manual work or unlock new growth capabilities.
WHAT WE'RE LOOKING FOR
- 3+ years of experience in software engineering, growth engineering, marketing technology, automation engineering, or a related technical role.
- Demonstrated experience building and deploying AI-powered agents, automated workflows, or LLM-based applications.
- Proficiency with Python, JavaScript, or similar programming languages.
- Experience working with APIs, webhooks, data integrations, and automation platforms.
- Familiarity with LLMs, prompt engineering, agent orchestration, and AI workflow development.
- Experience with automation tools and AI development platforms.
- Ability to design, build, debug, and maintain reliable automated systems.
- Strong analytical and problem-solving skills, with an ability to connect technical solutions to business outcomes.
- Comfort working independently, rapidly prototyping ideas, and iterating based on performance data.
- Strong communication skills and an ability to collaborate with both technical and nontechnical stakeholders.
- A kind person
NICE TO HAVE
- Experience building AI-powered growth, sales, or marketing automation systems.
- Familiarity with Salesforce, HubSpot, Clay, or similar GTM technology platforms.
- Experience with automated prospecting, lead enrichment, account-based marketing, or outbound sales workflows.
- Understanding of B2B SaaS marketing funnels, lead generation, and pipeline metrics.
- Experience with data pipelines, SQL, analytics platforms, or CRM data models.
- Familiarity with cloud infrastructure, developer tools, or FinOps.
- Experience with AI agent evaluation, observability, and production monitoring.
- Experience working at an early-stage or high-growth technology company.
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