Growth AI Engineer en Spekit

About SpekitSpekit is the modern, AI-powered enablement platform built around context — redefining how revenue teams learn, act, and sell.We believe the future of effective AI systems depends on governed, dynamic content — knowledge that’s structured, explainable, and always in context. That’s why Spekit unifies content management, enablement, and personalized guidance into one intelligent system that understands a company’s GTM data model, sales process, and the relationships between content, workflow, and outcomes.At the core is AI Sidekick, the Just-in-Time Sales Assistant™, which leverages signals from CRM, call intelligence, and communication tools to deliver real-time recommendations, adaptive guidance, and automated workflows — directly within a rep’s flow of work. Sidekick’s contextual AI agents continuously learn from governed content and rep activity, turning static documentation into living, actionable intelligence that drives consistent execution at scale.Backed by leading investors including Craft Ventures and Felicis, Spekit has raised over $60M and is trusted by world-class organizations like GitLab, ZoomInfo, Southwest Airlines, Equifax, and more to power their enablement in the flow of work.The OpportunityWe’re hiring a Growth AI Engineer to architect, automate, and scale our go-to-market engine for the next era of AI-driven company growth. Reporting to our CMO, Ian Lowe, you’ll work closely with cross-functional GTM leaders to design the systems, automations, and AI workflows that power our demand generation function, pipeline conversion, and overall operational efficiency.As an engineer on the GTM team, you’ll connect data, systems, and market signals into a unified, intelligent GTM tool stack — one that scales 10x without adding additional headcount. Some weeks you’ll be writing code to build AI automations or event-based nurture streams; other weeks you’ll be improving lead routing logic, or designing AI agents that generate persona-specific content on the fly.As our Growth AI Engineer, you’ll blend marketing operations, AI systems design, and hands-on engineering to reinvent how we grow. Everything you build should either reduce manual effort, increase pipeline, or improve conversion – ideally all three!



What you’ll own:

Build our GTM engine through AI and automation strategies and techniques. Design and connect systems that turn messy marketing workflows into scalable, intelligent processes.

Lead data and signal processing. Move beyond static lookup tables — use AI to understand titles, roles, and personas dynamically, enriching data to get SDRs and AEs in front of the right opportunities, faster.

Implement AI agents and automations. Build nurture sequences, event follow-ups, and persona-tailored content streams powered by LLMs and custom prompts.

Scale human capacity through automation. Help our small team of four operate like a team of twelve by embedding efficiency and intelligence into every process.

Optimize system integration and responsiveness. Connect tools and platforms to ensure MQLs are acted on immediately, lead data flows cleanly, and every GTM touchpoint reinforces engagement.

Partner with RevOps. Integrate deeply with the Revenue Operations function to ensure clean and consistent handover, data and ultimately drive quality pipeline growth

Collaborate across functions. Partner with Marketing, Sales and Product to ensure that AI systems, campaigns, and conversion tactics are tightly aligned

About You

You’re a builder with an engineer’s mindset and a marketer’s curiosity. You care about clean data, fast execution, and measurable business impact.

You write code, not just configure tools. Python or JavaScript is ideal, but the language matters less than your ability to ship working automations.

You understand how to design agentic workflows and are familiar with major LLMs (OpenAI, Anthropic, etc.).

You know prompt engineering well and you know how to weave prompts into real marketing systems for better performance and personalization.

You thrive in ambiguity. When given a challenge with an unclear path to execution, you’ll ask smart questions, prototype fast, and iterate toward impact.

You collaborate naturally with marketers, sales teams, and operators, translating their goals into systems that deliver.

You want to invent as you go! No fixed roadmap, just constant learning, experimentation, and impact.

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