• You develop a multi-sensor perception and fusion system for a drone early-warning system. • You build the backend that runs machine learning and AI models directly on local sensors instead of on cloud servers. • You work on real-time networking for highly scalable distributed systems. • You implement scalable, low-latency intelligence. • You build architectures from scratch to support simulations, machine learning, and engineering workflows. • Together with the ML, MLOps, and DevOps teams, you enable fast and secure deployments. • You monitor systems, troubleshoot incidents, and continuously improve observability.

• Du entwickelst ein Multi-Sensor-Wahrnehmungs- und Fusionssystem für ein Drohnen-Frühwarnsystem mit lernender Kartenarchitektur. • Du entwickelst Computer Vision Models (Dataset Preparation, Auto-Labeling, Training Optimization, Edge/Cloud Deployment) und implementierst die visuellen und akustischen Sensordaten in das System. • Du übernimmst Kernel Customization auf z. B. Raspberry Pi für IoT-Performance und Prototyping mit Large Language Models (LLMs). • Du kombinierst GPU-accelerated Vision Models (CUDA, TensorRT, DeepStream) mit skalierbaren backend services. • Du integrierst Advanced Machine Learning Technologies und ML Algorithmen in die einzelnen Devices, um die Performance and Accuracy der Ortung signifikant zu verbessern. • Gemeinsam mit den Fusion Engineers, MLOps und DevOps Engineers ermöglichst du schnelle und sichere Deployments. • Du überwachst die Systeme, behebst Störungen und verbesserst kontinuierlich die Observability.

• Liderar arquitectura y estrategia de datos, participando en su diseño e implementación • Definir patrones de integración y optimización sobre tecnologías como Denodo, Snowflake, BigQuery, DBT y herramientas de orquestación de datos. • Asegurar buenas prácticas, rendimiento y gobierno del dato en las soluciones

Role Description As the first GTM Engineer at Pogo, you'll partner with our Growth, Sales, Design, and Engineering teams to build AI-powered systems that compound revenue. You'll work on our enterprise AI SaaS product as both a builder and an operator: shipping code that drives pipeline and conversion. - Ship AI-powered workflows that scale our growth and sales motions as a competitive advantage. - Audit our existing GTM stack, identify the gaps and redundancies, and start shipping against them fast. - Embed with our sales and growth teams to turn their best plays into systems the whole org can run on. - Build internal tools and agents that replace manual workflows - lead routing, enrichment, outbound personalization, account research, content distribution, attribution. - Know when to reach for off-the-shelf tools and when to build something custom. - Partner closely with engineering and design to test new features, give feedback, and dogfood our own AI capabilities for GTM use cases. - Publish playbooks and internal guides so wins propagate across the team. Qualifications - Likely 2-5 years of professional software engineering experience, with at least some of that applied directly to GTM, growth, or revenue systems. - You're a heavy user of AI tools like Claude Code, Cursor, or Codex and have shipped non-trivial things with them. - You've built with LLMs and AI agents - think RAG, evals, tool use, prompt engineering. - You're hands-on with the modern GTM stack (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly, etc.) and can navigate APIs, webhooks, and integrations fluently. - You have strong product and design taste - the internal tools you build should feel as polished as the product. - You think in systems and like turning messy operational problems into clean, automated ones. - You have real commercial instinct - you can sit in a sales call or read a growth dashboard and immediately see where leverage exists. - You communicate clearly across technical and non-technical stakeholders, especially when things are ambiguous. - You've built and maintained production systems used by real users (internal users count). Requirements - Experience at early-stage startups or building your own products (bonus). - You've shipped AI agents that moved an actual revenue metric, not just demos (bonus). - Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building (bonus). Benefits - Ship real systems that get real usage and move real numbers - pipeline, conversion, retention. - Sit at the center of the company. Partner with Growth, Sales, Design, and Engineering. - Use the latest tech. Build with the latest coding tools, LLMs, and GTM platforms. - Move fast. Ship weekly and get rapid feedback from the teams using what you build. - Shape what this function looks like at Pogo as we scale. Company Description Priorities may shift quickly. Oftentimes, we're tackling very ambiguous problems that don't have clear-cut answers. While we make calculated bets, we have a strong culture of experimentation and we'll pivot as necessary based on what we're seeing in the data and what we're hearing from our users. At times, you'll need to build things in a day: we live and breathe a value called "Calculated Speed", which involves iterating and shipping weekly, rather than spending months going through complex processes or lengthy builds. Our engineers are some of the best in the world, which means anything you design today may be shipped next week. We don't have structured management (yet!). We don't have the management overhead to provide direction every step of the way and we're looking for someone that gets energized by being able to run with things. We expect more than 9 to 5 - raw hours make an impact at our current stage. That said, we trust each team member to create a flexible work schedule that allows them to be most productive while accommodating other priorities outside of work. We also strongly encourage time off to recharge the batteries: in addition to unlimited PTO, we've implemented a minimum 20 days vacation policy 🌴