Revenue Operations Manager

Description

You are looking for a role that lets you own and build the core systems that power a high-growth company. You enjoy solving complex technical and operational challenges, and you thrive in environments where infrastructure, automation, and business impact are deeply connected.

We’re Darrow - a fast-growing legal-tech startup on a mission to deliver frictionless justice. Every workflow you improve and every system you connect helps scale justice to millions.

Darrow has more than 170 team members across Tel Aviv and New York and is backed by world-class investors including Georgian, F2 Venture Capital, Entree Capital, NFX, and Y Combinator.

We are looking for a Revenue Operations Manager to help build Darrow’s operational infrastructure layer. This role will own the design and implementation of the systems, integrations, and automations that connect our CRM, internal data platforms, and execution workflows across the company. You will operate at the intersection of business, data, and technology, leveraging AI-native tools to streamline processes and remove friction from how Darrow scales.

Salesforce and Hub Spot are key components, but the mission is broader: building the intelligent operational backbone that enables Darrow’s growth. If you are a systems thinker with strong ownership mentality, this role is for you.

• Own and evolve the company’s Revenue Operating Model, aligning Sales, Marketing, Customer Success, and Capital Markets around measurable revenue outcomes.
• Shape commercial strategy and execution through scalable GTM planning, forecasting frameworks, operating cadences, and governed performance standards (KPIs, pipeline integrity, and data definitions).
• Translate stakeholder needs into technical product specifications and implement integrations and automations that remove manual bottlenecks and accelerate reliable information flow company-wide.
• Embed AI-driven enrichment and intelligent automation into core business processes to increase efficiency, signal quality, and decision velocity.
• Design and optimize scalable lifecycle processes across the full commercial journey, from opportunity origination through monetization.
• Establish a trusted single source of truth across GTM systems, ensuring clarity, consistency, and executive-grade visibility.
• Identify structural bottlenecks in the revenue engine and lead cross-functional initiatives that unlock growth and operational leverage.
• Influence incentive design, resource allocation, and performance management frameworks in partnership with executive leadership.

• 4+ years of experience in Revenue Operations, Sales Operations, Business Operations, or Commercial Analytics within a startup B2B SaaS company.
• Proven ownership of end-to-end revenue lifecycle processes, from pipeline generation through bookings, revenue recognition, and retention.
• Demonstrated experience designing and enforcing commercial governance frameworks, including pipeline standards, deal review structures, forecasting methodologies, and data definitions.
• Hands-on programming experience with Python or JavaScript, including working with APIs, optimizing data flows, including prompt engineering and applying AI tools to internal systems (i.e. n8n).
• Hands-on expertise with CRM ecosystems (Salesforce and/or Hub Spot), marketing automation platforms, and BI tools, with the ability to translate business questions into scalable data models and dashboards.
• Experience leading cross-functional initiatives involving Sales, Marketing, Customer Success, and Finance, driving alignment across planning, forecasting, and performance management.
• Proven ability to build structured operating cadences, Q  frameworks, KPI scorecards, and executive reporting that drive accountability and clarity.
• Strong analytical and systems thinking capabilities, with the ability to move from raw data to strategic recommendations.
• Executive communication skills, capable of influencing senior stakeholders and translating complex technical concepts into clear business decisions.
• High ownership mindset, with a bias toward building scalable processes rather than patching operational gaps.
• Experie…