𝗔bout Us

At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients-including some of the world's most successful hedge funds, banks, and asset managers-to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.

Join a Company that is Powering the Future of Finance with AI

RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. We have recently launched Bigdata.com, a next-generation platform aimed at transforming financial decision-making.

About the Role

We are looking for a Growth Operations Specialist who bridges the gap between technical execution and marketing strategy. This role is designed for a technical Marketing Ops professional who understands that seamless data orchestration is the backbone of a high-performing lead-to-revenue engine.

Your background should reflect a unique hybrid of marketing discipline and a strategic growth mindset. You are someone who enjoys "under the hood" work, tinkering with APIs, building intricate automation workflows (n8n, Zapier), building lifecycle workflows, and ensuring our lead-routing architecture is bulletproof.

Beyond just managing software, you will be responsible for architecting the data bridges between all our marketing properties and Salesforce, ensuring that every integration and script translates into clear marketing attribution and scalable growth.You'll sit at the critical intersection of Mops, Sops and data engineering.

Key Responsibilities

• Data Orchestration & Automation: Architect, build, and maintain complex automation workflows using tools like Zapier, n8n, or Make. You will automate repetitive tasks, ensure seamless data syncs, and create scalable operational processes across the marketing and sales teams.

• Systems Integration & API Management: Manage our Martech, technical hand-off between our lead capture tools, enrichment platforms.. You'll leverage REST APIs, webhooks, and custom scripts to ensure data flows securely and accurately across our entire MarTech stack.

• Custom Scripting & Data Analysis: Write and maintain custom Python scripts to integrate platforms that lack native connectors, handle complex data transformations, or clean large datasets. You will actively analyze marketing data to ensure pipeline integrity and identify optimization opportunities.

• Technical Troubleshooting & Governance: Act as the primary technical escalation point for marketing systems. Use your technical toolkit (reading server logs, testing API endpoints via Postman, inspecting JSON payloads) to diagnose and resolve data discrepancies, sync errors, and automation failures.

Minimum Qualifications

• Experience: 3+ years in Marketing Operations within a B2B SaaS environment, with a heavy focus on the MarTech stack.

• MAP & CRM Mastery: Deep, hands-on experience with Salesforce (understanding custom objects, flows, validation rules, and relational data structures) and email marketing tools.

• Scripting & API Stack: Strong proficiency in Python for scripting, data manipulation (e.g., Pandas), and automation. Deep understanding of how to interact with REST APIs, configure webhooks, and manage JSON data.

• Data Handling: Experience using SQL to design, query, and manage marketing databases. You understand data governance, hygiene, and how to structure data for scalable reporting.

• Problem-Solving: A "builder" mindset. You enjoy finding the most efficient way to automate a manual task. You are comfortable using LLM-assisted development (like ChatGPT or GitHub Copilot) to accelerate your scripting and problem-solving.

Good to have:

• Web Tracking Toolkit: Familiarity with Google Tag Manager (GTM), data layers, and client-side vs. server-side tracking implementations.

• Experience with enterprise-level automation platforms (n8n, Zapier, Workato, etc.).

• DevOps Fundamentals: Comfortable using Git and following development best practices including testing and basic CI/CD.

• Web Technologies: Experience with modern web frameworks (like Next.js), CMS navigation, and a command of HTML5, CSS3, and JavaScript (ES6+).

• Passion for Finance & AI: Interested in the world of finance and investing - and how AI is rewriting the rules of the game.

Why this role?

This isn't a "data entry" ops role. We need someone who genuinely likes technology and wants to apply that curiosity to building revenue engines. If you've ever stayed up too late chaining together a 15-step n8n workflow for fun, or writing a Python script to parse messy API payloads just to see if you could, you'll fit right in.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.