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Doppel

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2022

🔒 Cybersecurity

🤖 Künstliche Intelligenz

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Doppel ist eine KI-native Plattform zur Abwehr von Social Engineering, die Organisationen vor KI-gesteuerten Imitationen, Phishing, Deepfakes und Multi-Channel-Social-Engineering-Angriffen schützt. Die Plattform vereint den Schutz vor digitalen Risiken, das Management menschlicher Risiken (Simulation und Schulung zur Sicherheitsbewusstsein) und E-Mail-Sicherheit, um Angreifer-Infrastrukturen über Domänen, soziale Medien, Werbenetzwerke, Telekommunikation, Marktplätze und dunkle Kanäle zu erkennen, zu korrelieren (über einen Bedrohungsgraphen) und zu beheben. Doppel legt Wert auf agentische KI-Automatisierung für Erkennung, Schließung, Phishing-Triage und skalierbare SOC-Workflows und richtet sich an Unternehmenskunden aus Branchen wie Finanzdienstleistungen, Gesundheitswesen, Technologie, Einzelhandel und Fertigung.

Beschreibung

• Architect and manage data flows, integrations, APIs, and webhooks to ensure clean, reliable, and actionable data across systems. • Consolidate contacts, interaction history, and engagement signals from multiple sources into a single, enriched, trustworthy data foundation. • Build and evolve our prospecting architecture using tools like Clay, ZoomInfo, and Salesforce to identify high-intent accounts and contacts. • Develop new signal-based workflows (intent, enrichment, behavioral triggers) to improve targeting and timing. • Design and automate outbound and inbound campaign workflows aligned to ICP, personas, and messaging strategy. • Identify high-impact AI use cases and deploy AI agents, copilots, and workflows across GTM teams. • Build automations that reduce manual work (e.g., lead routing, enrichment, account research, sequencing triggers). • Maximize native AI capabilities across existing tools and evaluate new tools to enhance the stack. • Act as a bridge between technical systems and GTM teams. • Train Sales, Marketing, and CS on new workflows, tools, and AI capabilities. • Build internal champions and drive adoption of new systems and processes.

🎯 Anforderungen

• 4–6+ years in GTM Engineering, Revenue Operations, Sales Systems, or similar technical GTM roles in B2B SaaS • Strong understanding of sales, marketing, and customer lifecycle processes and how systems support revenue outcomes • Deep experience with CRM and GTM tools listed in our stack above. • Proficiency in SQL and working with data warehouses (BigQuery preferred) • Experience building integrations using APIs, webhooks, and automation platforms (Zapier, Make, n8n, Workato, Clay) • Ability to design scalable workflows and data models across systems • Bonus: Experience with Python or JavaScript for lightweight scripting and automation • Hands-on experience deploying GenAI workflows, agents, or copilots in GTM contexts • Strong familiarity with tools like OpenAI, Claude, Gemini, or similar • Strong interest in staying ahead of trends in LLMs and agentic systems • Builder mentality: you enjoy turning ambiguity into structured systems • Highly analytical with strong problem-solving skills • Scrappy and execution-oriented—you ship fast, iterate, and scale what works • Strong cross-functional communicator able to translate business needs into technical solutions • Background in high-growth or AI-native companies.

🏖️ Vorteile

• Health, dental, vision, 401(k), and generous parental leave. • Flexible PTO and flexible, remote-first culture. • Fast-growing team with immediate impact and visible results. • A culture that values documentation, data-driven decisions, and simple, scalable systems.