2 days ago

Revenue Operations Manager

OpenUp

Amsterdam

2 days ago

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OpenUp is seeking a Revenue Operations Manager to own the systems and processes the commercial team relies on, from first touch to renewal. This hands-on individual contributor role requires 4-7 years of RevOps experience at a B2B SaaS company, deep HubSpot expertise, and experience building AI tools with LLM APIs. The position is hybrid in Amsterdam.

Core AIHybridFull-timeMid LevelHubSpotSalesforce

Revenue Operations Manager

Apply

Core AIHybridFull-timeMid LevelHubSpot

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid (hybrid and options for remote work)

Experience Required

7 years

Employment Type

Full-time

Experience Level

4 - 7 years

Core Qualifications

Technical (Must-have)

HubSpotSalesforceApolloFullEnrichLushaLLM APIsClaudeOpenAIClaude CodeCodexCursorCRM APISaaS metricsPipeline coverageWin rateCycle lengthNRRForecast accuracyVersion controlData qualityDeduplicationEnrichmentOutbound toolingMEDDICCSales methodology

Soft Skills

DocumentationPrioritizationCommunicationTrainingAdoptionHuman judgment

Preferred Qualifications

Technical (Nice-to-have)

GermanDutch

Key Responsibilities

•Own HubSpot across Sales Hub, Service Hub and Marketing Hub: objects, lifecycle stages, lead and deal architecture, workflows, permissions, reporting and the API.
•Manage integrations with Apollo, contract, calling, meeting-notes and compensation tools, and in-house builds.
•Ensure data quality: deduplication, enrichment, contact and company associations, Do-Not-Engage list and account allocation per AE.
•Own the pipeline forecast in HubSpot and reporting on pipeline, conversion, outbound effectiveness and net revenue retention.
•Run quarter-end close with Finance, including inputs for Sales and Customer Success compensation.
•Build, ship and maintain AI tooling on top of HubSpot, Apollo and LLM APIs (Claude and OpenAI) to remove manual work.
•Manage full lifecycle of each tool: prototype, test, launch, document, monitor, improve, and retire when no longer useful.
•Ensure version control, clear documentation, monitoring, checks of model output against source data, and human review where needed.
•Work with internal Data & AI team to meet technology, privacy and quality standards.
•Own the commercial process from lead to renewal: handoffs between Marketing, Sales and CS, pipeline hygiene standards, and sales methodology embedded in CRM.
•Drive adoption: training, clear documentation, and showing AEs, BDRs and CS where AI helps and where human judgment is needed.
•Make decisions on what to build or buy: evaluate tools, test prototypes before purchasing, and prioritize requests based on value.

Revenue OperationsSales OperationsGTM engineeringB2B SaaSHubSpotAI toolingLLM APIsHybridAmsterdamHealth and Human Services

Core Qualifications

Technical (Must-have)

Soft Skills

DocumentationPrioritizationCommunicationTrainingAdoptionHuman judgment

Key Responsibilities

•Own HubSpot across Sales Hub, Service Hub and Marketing Hub: objects, lifecycle stages, lead and deal architecture, workflows, permissions, reporting and the API.

•Manage integrations with Apollo, contract, calling, meeting-notes and compensation tools, and in-house builds.

•Ensure data quality: deduplication, enrichment, contact and company associations, Do-Not-Engage list and account allocation per AE.

•Own the pipeline forecast in HubSpot and reporting on pipeline, conversion, outbound effectiveness and net revenue retention.

•Run quarter-end close with Finance, including inputs for Sales and Customer Success compensation.

•Build, ship and maintain AI tooling on top of HubSpot, Apollo and LLM APIs (Claude and OpenAI) to remove manual work.

•Manage full lifecycle of each tool: prototype, test, launch, document, monitor, improve, and retire when no longer useful.

•Ensure version control, clear documentation, monitoring, checks of model output against source data, and human review where needed.

•Work with internal Data & AI team to meet technology, privacy and quality standards.

•Own the commercial process from lead to renewal: handoffs between Marketing, Sales and CS, pipeline hygiene standards, and sales methodology embedded in CRM.

•Drive adoption: training, clear documentation, and showing AEs, BDRs and CS where AI helps and where human judgment is needed.

•Make decisions on what to build or buy: evaluate tools, test prototypes before purchasing, and prioritize requests based on value.