Senior Revenue Operations Manager, SPREAD AI
Decision intelligence layer for the world's most complex engineering organizations
Job no longer available
Decision intelligence layer for the world's most complex engineering organizations
21-100 employees
Job no longer available
21-100 employees
Company mission
To power the next era of software-defined product innovations by making product data for the most accessible, intuitive, and actionable for every engineer's mind.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
The complexity of modern products, as well as the associated manufacturing processes, has increased over the past few decades. This growing complexity introduces three major challenges for engineers creating complex products. Firstly, the process is often inefficient, with engineers spending large amounts of time on non-productive things like coordination meetings. Secondly, information in this area is often difficult to find: engineers commonly spend around a quarter of their time searching for product information. Thirdly, creating cross-departmental understanding is often highly challenging. In short, things need to get better.
This is where SPREAD AI comes in. Its software streamlines the product design process at all stages, from providing access to part or component information to suggesting how a product can be assembled and even repaired. These high-level product insights aim to increase efficiency in the design process.
SPREAD AI has generated a lot of interest with a customer base including major manufacturers such as Audi, Ford, Miele and Porsche. This has led to the startup raising a significant amount of funding which it intends to use for early product development and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (2 rounds)
May 2023
$16m
SERIES A
Jan 2020
$3.1m
SEED
Total funding: $19.1m
Company benefits
- Competitive Pay & Equity: We benchmark salaries against leading Berlin SaaS peers, review them annually, and add bi‑annual performance bonuses plus Share Options. When SPREAD’s graph tech scales, every employee shares the upside—delivering transparent, future‑proof total compensation you can actually plan around.
- Recharge Time: Enjoy 30 vacation days including a full company shutdown between Christmas and New Year. A “no Slack, no email” rule plus clear holiday hand‑overs mean you return rested, not buried, making real recharge part of our operating model.
- Hybrid Work with Pro Tools: Collaborate at our light‑filled HQ in the heart of Berlin, work remotely anywhere, or roam the EU for 90 days. Whatever you pick, you’ll get a MacBook—and if you’re based outside Berlin, an additional €500 remote-office budget so performance never depends on geography.
- Green Mobility Perks: Slash your commute footprint: ride Berlin with our subsidised Deutschlandticket and lease any bike or e‑bike through #SPREADWheels’ tax‑advantaged scheme. Stay fit, save money, and cut CO₂—whether you’re gliding to stand‑up or hitting weekend trails.
- Fitness & Wellness: #SPREADFit unlocks thousands of gyms, pools, yoga studios, and climbing halls via Urban Sports Club—from Munich layovers to Lisbon workations. Better focus, stronger bodies, healthier minds—all subsidised by SPREAD
- Continuous Learning: Tap €1,000 every year for courses, conferences, or cloud credits, sign up for weekly German classes to keep both your tech stack and your vocabulary expanding.
- Digital Pension Plan: #SPREADPension powered by DYNO turns retirement saving into a few taps: commission‑free ETF portfolios, live tracking, and tax‑advantaged contributions topped up by SPREAD and the state. Portable between employers, transparent on fees—the kind of FinTech simplicity SPREADsters expect.
- Team Weeks & Social Events: Bi-annually we fly everyone to Berlin for strategy deep dives, hackathons, and shared beer. Add a SommerFest, a legendary Christmas party, and regular remote‑friendly socials, and you get genuine bonds—minus forced fun or after‑hours schedule creep.
Company HQ
Mitte, Berlin, Germany
Leadership
Philipp Noll
(Co-Founder & Managing Director)Prior to co-founding SPREAD AI in 2019, Philipp was a Senior Management COnsultant at MHP (A Porsche Company) and a Production Engineer at Daimler.
Robert Göbel
(Co-Founder & Managing Director)Robert began his career in finance, working at Deutsche Bahn and IMB, before spending over 3 years in management positions at MHP.
Shane Connelly
(CPO)Prior to joining SPREAD AI in 2025, Shane was the Head of Product at Vectara and Director of Product Management at Kong.
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