SPREAD builds AI-powered software that helps leading manufacturers like BMW, Mercedes, Volkswagen, Bosch, and Rheinmetall master the complexity of software-defined products.
Our Engineering Intelligence Platform transforms disconnected technical data into usable insights that enable engineering teams to bring products to market up to 10× faster, 50% more cost-efficiently, and with higher quality. Recognized with the SPARK AI Innovation Award (Handelsblatt & McKinsey, 2024) and listed among LinkedIn’s Top Startups DACH, SPREAD is one of Europe’s fastest-growing AI companies.
You will be the lead architect of our Revenue Machine. Your goal is to design, build, and maintain the infrastructure that powers our entire customer lifecycle: from the first marketing touchpoint to the final renewal. You will treat our internal GTM processes like a software product: prioritizing a backlog, shipping "features" (automations/processes), and ensuring 99.9% data integrity.
Own Salesforce as a platform across Lead-to-Cash, including data model design, custom objects, Flow Builder automation, permissions, validation rules, and reporting standards.
Run Salesforce changes with release discipline so downstream impacts are understood before production updates.
Own the plumbing between Salesforce and the GTM tool stack, such as Salesloft, Clay, HubSpot, and adjacent enrichment or marketing automation tools, keeping integrations stable, documented, and measurable.
Run RevOps delivery through Jira with clear prioritization, separating keep-the-lights-on requests from strategic projects and shipping improvements in sprints.
Build the logic behind funnel and pipeline reporting, including pipeline velocity, conversion rates, and attribution assumptions, and turn insights into actions leaders can use.
Act as the gatekeeper of data quality through governance, guardrails, and enrichment so teams can trust what they see and know what to do next.
Translate new GTM motions into system design fast, for example, product-led growth, new routing models, or new qualification approaches.
Reverse engineer broken or slow workflows and continuously shave friction out of seller workflows, removing steps and clicks through better design and automation.
Apply an AI-first automation mindset to eliminate repetitive work across GTM workflows, using the right mix of Salesforce automation, lightweight scripting, and workflow tools.
Operationalize commercial mechanics such as routing, approvals, and compensation logic in systems and reporting so cycles run cleanly.
Own enablement for process and tooling changes with clear documentation, training, and adoption follow-through.
Delegate routine data hygiene and admin tasks to junior support or external partners when available, while owning the design and quality bar.
Hold the line on what scales, challenge priorities when needed, and keep stakeholders aligned on the operating model.
5+ years in Revenue Operations, Sales Operations, GTM Operations, or Commercial Operations in B2B software.
Advanced Salesforce build capability, including Flow Builder, custom objects, validation rules, and scalable data model design across Lead-to-Cash.
Proven integration ownership across Salesforce and GTM tools, with comfort in troubleshooting API-driven workflows.
Strong data fluency with deep experience in Salesforce reports and dashboards, plus practical SQL for validation and investigation.
Comfortable using Python and or JavaScript to automate checks, speed up analysis, and improve operational efficiency.
AI-first mindset with evidence of using automation or AI-assisted tooling to reduce manual work without sacrificing governance.
Comfortable getting into the weeds on complex CSV imports and multi-step automation workflows across tools.
Strong preference for experience in a customer-facing, quota-carrying, or closely adjacent commercial role.
Fluent in English and a minimum B2 in German.
Comfortable operating as an individual contributor with no direct reports, owning end-to-end outcomes across systems and stakeholders.
Experience with CRM rebuilds, migrations, or cleanup after fast growth.
Familiarity with BI tools such as Looker or Tableau.
Experience with commissions operations and incentive cycles.
Exposure to industrial enterprise go-to-market contexts where data quality and process discipline are non-negotiable.
Why SPREAD?
SPREAD is transforming how engineering organizations work with data and AI. The platform is used by leading manufacturers including BMW, Mercedes, Volkswagen, Bosch, and Rheinmetall, and SPREAD has been recognized as a SPARK award winner and a LinkedIn Top Startup in DACH.
What this role offers in practice:
Build the GTM operating system at an AI-first company where automation is expected, not optional, and where reducing manual work is part of the job.
Own high-leverage outcomes across systems and stakeholders with the freedom to challenge priorities and implement what is right for the business.
Measurable enterprise impact with customers who run highly complex engineering environments.
Strong overall package including attractive compensation, mobility budget (Deutschlandticket), Urban Sports partnership, 30 vacation days, workation options, a volunteering day, and an annual learning budget.
--- Seniority level: Mid-Senior level Employment type: Full-time Job function: Sales, Strategy/Planning, and Engineering Industries: Data Infrastructure and Analytics
Opens the original job posting on spreadai.com
