Jack & Jill
Full Stack Engineer (£70k-£90k + Equity) at Maverick Intelligence
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Full Stack Engineer
Salary: £70k-£90k + Equity
Company Description
Maverick Intelligence is a 2025-founded B2B SaaS platform with offices in London and San Francisco. They provide real-time identification of anonymous website visitors, delivering verified contact data directly into CRM tools like Salesforce and HubSpot to empower sales teams with actionable intelligence.
Job Description
As a Full Stack Engineer at Maverick Intelligence, you’ll own features from data modeling to UI. Working directly with the founders, you will ship TypeScript code across React/Next.js and Node.js. You’ll tackle ambiguous problems and build CRM integrations, significantly influencing the product direction and user success of this early-stage AI-powered sales platform.
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Location
London, UK or San Francisco, USA
Why this role is remarkable
- Join a high-calibre team with a pedigree comparable to OpenAI, Stripe, and Palantir, shaping an AI-driven product from the ground up.
- Gain significant equity as an early employee in a 2025 startup that is fundamentally changing how B2B companies identify and engage prospects.
- Experience high autonomy and rapid shipping cycles where your technical decisions and product intuition directly dictate the success of the platform.
What You Will Do
- Design and implement end-to-end features using TypeScript, Next.js, and Node.js, ensuring a seamless experience from the backend to the final UI.
- Build and maintain critical integrations with major sales tools and CRMs including Salesforce, HubSpot, and Attio to deliver real-time visitor data.
- Collaborate with founders and the GTM team to translate customer needs into technical solutions, making key product calls rather than just following specs.
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The Ideal Candidate
- Possesses extensive production experience shipping full-stack TypeScript applications, specifically using React/Next.js on the frontend and Node.js on the backend.
- Demonstrates high autonomy and a track record of thriving in fast-paced startup environments where picking up ambiguous problems is the norm.
- Communicates clearly and shows genuine curiosity about customer workflows, with a strong bonus for experience building LLM-backed or AI product features.
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