Gojiberry AI

GTM Brain for small sales teams

Fullstack developer - Angular & NestJs - Full Remote - Europe

€40K - €55K EUR•PT / FR / BE / CH / HU / IT / BY / DE / PL / UA / LV / EE / LT / HR / AL / ES / IS / Remote (PT; FR; BE; CH; HU; IT; BY; DE; PL; UA; LV; EE; LT; HR; AL; ES; IS)
Job type
Full-time
Role
Engineering, Full stack
Experience
3+ years
Visa
US citizenship/visa not required
Skills
Tailwind, MySQL, Node.js, Angular, Amazon Web Services (AWS)
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Dylan TEIXEIRA
Dylan TEIXEIRA
Founder

About the role

🚀 Experienced Fullstack Developer (TypeScript / NestJS / Angular)
Join us in building the AI GTM Brain for high-performing sales teams.

At Gojiberry AI, we’re building the AI GTM Brain — a system that connects CRM, marketing, and sales data to help teams automate everything from lead scoring to outreach. We’re still a lean team, backed by strong early traction, and are now looking for an experienced fullstack engineer who wants to own meaningful parts of the product.

You’ll work directly with the CTO (ex‑founder and lead engineer with a background in automation and cloud architecture) to architect, ship, and scale features end‑to‑end — from ingestion pipelines to polished interfaces that sales teams actually love using.

🧠 What You’ll Build

  • Design and scale our data ingestion engine that syncs customer activity from Salesforce, LinkedIn, and HubSpot into our RAG‑powered AI workflows.
  • Develop production‑grade backend services in Node.js / NestJS / TypeScript, optimizing for reliability and throughput at scale.
  • Build elegant, data‑driven frontend dashboards with Angular and Tailwind to visualize lead scoring, workflow automation, and campaign performance.
  • Deploy and monitor services on AWS (ECS, RDS MySQL, CloudFront), keeping things fast, secure, and cost‑efficient.
  • Collaborate on architecture and automation decisions that shape our GTM brain as we grow.

🧩 What We’re Looking For

  • 4+ years of fullstack development experience.
  • Strong expertise with TypeScript, NestJS, and Angular.
  • Solid understanding of AWS, Docker, ECS, and CI/CD pipelines.
  • Experience with REST APIs, web security, and clean, maintainable code.
  • Located in Europe (for time zone alignment) and fluent in English (No french needed).

Nice to Have

  • Experience with background jobs, event‑driven systems, or vector databases.
  • Familiarity with AI integrations, LLM workflows, or SaaS automation tools.
  • An interest in GTM tech — sales, marketing, or CRM data.

đź’ˇ Why Join Us

We founded Gojiberry because after years in sales development and engineering, we realized 80% of GTM work is still manual data entry and coordination. We’re building the AI layer to fix that ; not with fluff, but with infrastructure that actually works at scale.

You’ll have real ownership, no bureaucracy, and the chance to shape a product that blends AI, data, and workflow automation from the ground up.

🌍 The Practical Stuff

  • Fully remote in Europe.
  • Flexible hours, async work culture.
  • Modern stack and high code quality standards.
  • A small, high‑trust team that moves fast but values depth

About the interview

  1. Quick application review
    We review your CV, GitHub/portfolio, and short introduction. If there is a good match, we get back to you quickly to schedule a call.
  2. Intro call (30 minutes)
    A relaxed video call to learn more about your experience, what you are looking for, and to present the product, team, and roadmap. This is also your chance to ask any questions.
  3. Technical interview (60–90 minutes)
    Live coding and architecture discussion focused on TypeScript, Node.js/NestJS, Angular, and AWS. The goal is to see how you reason, structure code, and approach real problems rather than solve trick questions.
  4. Final interview (45–60 minutes)
    Conversation with the CTO/founder to align on ways of working, ownership level, and next steps. We also discuss compensation, remote setup, and starting date.

About Gojiberry AI

GojiberryAI is a GTM Brain that helps sales teams find and convert high-intent leads by continuously learning what works across their go-to-market. Instead of relying on cold lists, it detects real buying signals like competitor engagement and social signals, job changes, hiring spikes, or funding events, then prioritizes the best prospects based on ICP fit and intent. It analyzes each lead’s context, generates personalized messages, starts conversations, and follows up automatically until a meeting is booked, while constantly optimizing targeting, messaging, and timing so performance compounds over time.

The result is simple: 2 to 5x more replies, more qualified conversations, and a predictable pipeline without wasting time on low-intent prospects.

Gojiberry AI
Founded:2025
Batch:P26
Status:
Active
Founders
RomĂ n Czerny
RomĂ n Czerny
Founder
Pierre-Eliott Lallemant
Pierre-Eliott Lallemant
Co-Founder & CEO
Dylan TEIXEIRA
Dylan TEIXEIRA
Founder