Saypien

Role Description We are looking for an AI-native Product Engineer who can take real problems and ship to production. This is not a classic frontend or backend role. You will work end-to-end across product, design, engineering, AI workflows, data, and integrations. You should be comfortable understanding messy business problems, designing pragmatic solutions, shipping quickly, and improving based on real usage. We are looking for a builder who wants to own outcomes, not just tickets. What you will do - Own product problems end-to-end, from discovery to production. - Understand user problems, workflows, and constraints. - Turn vague requirements into clear product solutions. - Design and build fullstack features across UI, backend, database, APIs, and integrations. - Build AI-powered workflows using LLMs, retrieval, agents, structured extraction, and tool use. - Work with documents, data sources, and enterprise systems. - Ship quickly, test with users, and iterate based on feedback. - Care about product quality, UX, performance, reliability, security, and maintainability. - Use AI coding tools as part of your daily workflow. - Turn repeated customer patterns into scalable product features. Qualifications - Strong fullstack engineering skills, ideally with TypeScript, React, Next.js, Node.js, and Postgres. - Experience building and shipping real products end-to-end. - Ability to move from problem to working product without needing detailed specs. - Comfortable with ambiguity and fast iteration. - Deep thinking about user experience, not just implementation. - Care about clean architecture, good abstractions, and production reliability. - Understanding of how modern AI products are built beyond simple prompting. - Knowledge of working with APIs, data models, permissions, background jobs, and integrations. - Strong product judgment and ability to challenge unclear requirements. - Clear communication with technical and non-technical people. - Highly self-directed and take ownership without waiting to be told what to do. Company Description At Primefold, we are building an AI-native platform for managed agents that transform fragmented data into real-time strategy. Our goal is to create the operating layer for AI-powered decision-making: connecting data, documents, workflows, and expert knowledge so teams can move from information to action faster. We are building for complex, high-stakes business environments where decisions depend on large amounts of unstructured information, disconnected systems, and domain-specific knowledge. Berlin-based startup Saypien is building an architectural intelligence layer that is agentic, modular, and domain-aware. It ingests heterogeneous data, learns the context of a business, and continuously provides decision-ready guidance across products and teams. We are looking for engineers who can contribute to this core platform.

Role Description Your mission is to design and own the commercial engine in a non-traditional way. You think in agents, build in AI, and execute at a speed that makes the old GTM playbook look like a fax machine. Strategy is yours, while the AE executes. The machine you build runs on intelligence, not manual effort. - Define GTM strategy: ICP, segmentation, vertical priorities, messaging, and build AI agents that operationalize it, not just documents that describe it. - Own the outsourced marketing agency relationship, and augment it with AI-powered content, targeting, and performance loops you design yourself. - Build the sales playbook, then automate the repeatable parts: outreach sequences, personalization at scale, lead scoring, qualification signals. - Architect the revenue operations model in HubSpot, and layer AI on top of it so the system surfaces what matters before anyone has to ask. - Build and run GTM reporting through AI-assisted pipelines, not manual pulls. Qualifications - 5+ years in B2B SaaS across GTM, growth, revenue operations, or product marketing. - Genuine fluency in AI tools as daily infrastructure, not occasional shortcuts. - Experience managing external marketing agencies or demand generation partners. - Track record of building sales playbooks and enabling AEs to close. - Strong analytical mindset: comfortable owning pipeline and conversion metrics. - HubSpot at architecture level, not just as a user. - Builder mentality: comfortable creating from scratch in a lean team. - German and English (German preferred). Benefits - Your mission: You’ll own new business from outbound pipeline generation through closing, and help turn founder-led selling into a scalable, forecastable process. Company Description Berlin-based startup Saypien is building an architectural intelligence layer that is agentic, modular, and domain-aware. It ingests heterogeneous data, learns the context of a business, and continuously provides decision-ready guidance across products and teams. We are looking for engineers who can contribute to this core platform.

Role Description Own new business completely. Build the outbound engine. Help turn founder led selling into something that scales. - Build outbound pipeline (LinkedIn, email, calls; threaded across stakeholders) - Run full sales cycle: discovery to demo to proposal to close - Maintain HubSpot discipline: stages, next steps, close dates, forecasting - Ensure a clean handover to CX after signature Qualifications - 2 to 4+ years B2B SaaS closing experience (outbound first; not SDR only) - Track record of creating pipeline and closing deals independently - Strong discovery, demo execution, and negotiation - Clean CRM habits: HubSpot is a big plus - German and English (German strongly preferred) - Willing to travel (in DACH) Benefits - Real traction. Customers across DACH and EU. Company Description Primefold XI is the Experience Intelligence platform that builds your survey, reads every response, and tells you what to change. Berlin-based startup Saypien is building an architectural intelligence layer that is agentic, modular, and domain-aware. It ingests heterogeneous data, learns the context of a business, and continuously provides decision-ready guidance across products and teams. We are looking for engineers who can contribute to this core platform.