Serotonin is the top go-to-market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, crypto infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels, including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation.

At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth. We're building an intelligence layer at Serotonin, and we need someone to own it end to end. This role sits at the intersection of competitive intelligence, data engineering, and agentic AI.

You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into structured intelligence that shapes how we run accounts and campaigns, both internally and for clients. You'll design and maintain the data pipelines, agentic workflows, and full-stack applications that make our intelligence capabilities real and repeatable. You'll work directly with marketing leads and client teams, understand how they actually operate before you build anything, and ship things that are live, used, and measurable.

Build and maintain agentic systems that continuously collect, process, and surface signals from social platforms, on-chain data, and ads ecosystems. Turn raw, multi-source data into structured intelligence that informs real account and campaign decisions Design and maintain the pipelines that power those systems: ingesting from multiple external APIs, enriching and modeling data,



and building semantic layers that both humans and AI agents can actually use Build multi-step AI agents that automate research, synthesis, monitoring, and reporting. Build full-stack applications and dashboards that make intelligence accessible across client accounts.

Spend real time with internal teams across marketing, PR, content, growth, and social before writing a line of code. Stay ahead of the AI tooling landscape. Define how impact gets measured, and build the reporting to prove it Software Engineering (non-negotiable) Python, fluently: pipelines, agent systems, data processing, scripting REST and GraphQL API experience building integrations, not configuring connectors SQL: schema design, not just pulling rows Full-stack development: Next.js or equivalent; you've shipped something users interact with in production LLM API usage: building directly with Anthropic or OpenAI APIs, including agent orchestration frameworks (LangGraph, CrewAI, or custom) Vector databases and RAG: embeddings, retrieval pipelines, semantic search Intelligence and Signal Layer Experience ingesting and fusing data from multiple external sources: social APIs (X, LinkedIn), ads APIs (Meta, Google), or similar multi-source environments Ability to translate raw signal into structured, actionable output for non-technical stakeholders Experience building dashboards or reporting layers others depend on operationally, not just internal notebooks AI Tooling ~ No-code tools (Make, n8n, Zapier)



are part of your toolkit but they don't act as the foundation of your practice.

A strong developer who knows when to use no-code will always outperform a no-code specialist who can't own the harder technical work On-Chain Data (strong plus) Dune Analytics or equivalent SQL querying against on-chain data Not required, but you should be the kind of person who picks up a new data domain rapid Working knowledge of how GTM and marketing teams operate day to day: PR, content, growth, social. Enough to know where intelligence systems create real leverage. You've built something end to end and you own it, not "contributed to" or "worked on the team that built it", but the person who designed it, shipped it, and is still maintaining it.

You care more about making three teams faster than shipping something impressive that one person uses, and your GitHub actually reflects what you can do without needing to be asked for a portfolio. You've probably come up through a founding engineer role, an early-stage startup, or as an independent builder, ideally somewhere in data, intelligence, or crypto. You pick up new domains fast and use AI as a core part of how you do that.

You ship in days, you're not precious about being wrong early, and you know the difference between using AI as a multiplier versus using it to paper over a weak foundation.

Competitive

Salary ~ Health Insurance (US Only) ~401(k) (US Only)Remote Work Environment ~ Parental Leave We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us. #

📌 AI Infra Engineer (Moncton)
🏢 Urban Ridge Supplies
📍 Moncton