GTM Engineer (m/w/d)

About the Role

We are seeking a GTM Engineer to architect and manage the foundational operating system powering Patterno's go-to-market strategy. As our sales development representative (SDR) and account executive (AE) teams expand with increasing pipeline, you will be responsible for transforming fragmented founder-built workflows into seamless, robust systems that enhance outbound cycles, deal management, dashboards, enrichment flows, and CRM workflows.

This role demands technical design and hands-on building—not just reporting—as you create and optimize enrichment pipelines, CRM automations, sales tools, ideal customer profile (ICP) prioritization, outbound infrastructures, data quality efforts, and call analysis. You'll collaborate closely with the SDR and AE teams and maintain weekly alignment with company founders to prioritize and implement new growth levers. Success here sets the stage for leadership in Revenue Operations (RevOps) and GTM Systems as Patterno scales.

Key Milestones in Your First 90 Days

• Unify the enrichment engine into a single, reliable platform integrating firmographic data, procurement signals, decision-maker insights, AI-driven research, and CRM data into a trusted source of truth.
• Consolidate the sales team’s tool stack into one integrated system complemented by a clear operational playbook.
• Establish live, accurate, and frequently reviewed metrics for pipeline coverage, funnel conversion, activity levels, cycle duration, win rates, and data quality health.
• Design and launch at least one pivotal system end-to-end, addressing the highest-impact problem identified after an initial assessment.
• Recognize and plan the next significant GTM initiative in partnership with the founders.

Primary Responsibilities

• Develop and maintain the enrichment engine using tools like Clay, AI agents, custom pipelines, APIs, Supabase, and Attio to ensure sales operates with accurate, contextual data.
• Create and manage dashboards that monitor critical sales metrics, including pipeline coverage, funnel conversion, cycle length, win rates, data quality, and ad-hoc analyses for executives.
• Oversee CRM workflows covering schema structures, automation processes, integrations, data hygiene, and definitions of truth sources.
• Implement systems to prioritize account engagement based on signal quality, fit, and predicted success likelihood.
• Build outbound and email infrastructure to enable SDRs to execute more sales cycles with reduced manual effort.
• Continuously enhance data quality through deduplication, confidence scoring, and hygiene feedback loops.
• Translate sales calls and pipeline data into structured insights to improve targeting, messaging, and account prioritization.
• Evaluate and manage the sales technology stack by introducing necessary tools and retiring ineffective ones.
• Work directly with SDRs, AEs, and founders to iterate swiftly and effectively.

Qualifications

• At least one year of experience in a GTM Engineer, RevOps Engineer, Sales Ops Engineer, or a similar technically focused go-to-market role.
• Proven track record of building and deploying two or more GTM systems or setups, either internally or as a freelancer.
• Comfortable working with AI-driven tools such as Claude Code, MCP servers, or agent-based workflows.
• Technical proficiency with APIs, webhooks, HTTP protocols, integration troubleshooting, and light backend development.
• Hands-on experience with Supabase or an equivalent database platform.
• Developed CRM workflows using Attio, HubSpot, Salesforce, or comparable systems.
• Practical knowledge of ICP enrichment involving multiple data sources, ideally combining Clay and AI-based processes.
• Fluent in both German and English languages.
• Priority focus on reliable data quality over aesthetic dashboard design.

Preferred Skills

• Familiarity with automation tools like n8n, Make, or similar platforms.
• Experience specifically with Attio CRM.
• Background working within rapidly scaling B2B SaaS companies.
• Experience converting founder-created fragmented workflows into scalable, standardized GTM infrastructures.

Ideal Candidate Attributes

• Aptitude for tackling ambiguous challenges and translating them into functional systems.
• Approach system building iteratively: starting with simple solutions and progressing to more complex implementations.
• Focus on measurable outcomes over perfect internal architecture.
• Embrace testing and learning from shipped products rather than defending initial versions.
• Proactively seek input and iterate rapidly.
• Desire for ownership and autonomy without needing excessive approval.
• Demonstrated commitment to excellence outside of work through competitive sports, side projects, or other pursuits.
• Envision this role as a stepping stone to leadership in RevOps and GTM Systems as the company scales aggressively.

What We Offer

• Competitive senior-level salary combined with significant equity participation.
• Direct leadership over the core technical infrastructure enabling a fast-growing go-to-market engine.
• Close collaboration with company founders addressing key commercial challenges.
• An AI-first technology stack from day one, acquiring best tools to improve the system.
• Opportunity to be involved at the forefront of building a category-defining company in a large, underdigitized European market.
• An energetic onsite team in Hamburg fostering craftsmanship and innovation.

Context and Vision

Patterno has progressed beyond the demo phase and has active customers in critical procurement markets across Europe, which remain largely underdigitized. With sales gaining momentum and expanding, the technical GTM infrastructure must evolve rapidly. Currently, many processes rely on founder-built hacks and fragmented systems. The role’s mission is to transition these into a scalable, data-driven engine enabling faster cycles, improved account prioritization, stronger outbound efforts, and a sales team empowered to operate without manual bottlenecks.

Patterno’s vision is to democratize procurement intelligence by overcoming outdated portals and manual research barriers. Founded in Hamburg, the company champions a European-driven AI-first technology ecosystem designed to compete on a global scale. This position will directly influence the commercial foundation of that mission.