Fal.ai is building the infrastructure layer for the generative AI era. Our mission is to empower developers and enterprises to create, deploy, and scale multimodal AI applications with speed, simplicity, and reliability. By combining high-performance inference, orchestration, and observability in one seamless platform, Fal.ai enables companies to bring new AI products to life—without the heavy lift of managing complex infrastructure.
With rapid adoption across industries and a market projected to expand by hundreds of billions in the next decade, Fal.ai is uniquely positioned to become a foundational player in the next wave of AI innovation.
About the Role
The Revenue Operations Manager will establish and optimize fal’s go-to-market systems, ensuring efficiency and clarity in sales operations. Responsibilities include managing CRM strategy, driving revenue efficiency, and collaborating across teams to empower growth.
What You’ll Do
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Own and optimize the GTM tech stack — serve as the primary administrator for Salesforce and connected systems (e.g., marketing automation, CS platforms), ensuring clean data, stable integrations, and user-friendly workflows.
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Design and implement scalable revenue processes across the entire lifecycle — from lead capture to customer renewal — ensuring alignment and efficiency across Sales, Marketing, and Customer Success.
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Build and maintain dashboards and reporting frameworks that give executives and GTM leaders real-time visibility into pipeline health, conversion rates, and forecast accuracy.
- Partner with GTM leadership to analyze funnel performance, identify bottlenecks or data quality issues, and recommend actionable solutions that improve conversion and retention.
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Lead the architecture and governance of data integrations, ensuring seamless flow between systems like Salesforce, Marketo/HubSpot, and customer success tools, with robust monitoring and documentation.
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Implement and enforce data hygiene best practices, managing enrichment, deduplication, territory assignment, and account ownership rules to keep the CRM as a single source of truth.
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Drive continuous improvement projects — evaluate new tools, pilot emerging RevOps technologies, and lead rollouts or migrations with clear communication and change management plans.
What We’re Looking For
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Hands On Keyboard Skills: You must be able to "do" the actual hands-on-keyboard work to set up, build, and continue to operate the following systems below.
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CRM & Go-to-Market Systems Expertise: Demonstrated experience configuring and administering enterprise CRM systems (e.g., Salesforce) including custom object/field creation, lead/opp management, territory structuring, inbound lead routing, and integrations with data hygiene or enrichment tools.
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Integration & Data Flow Management: Proven track record building and managing integrations across the tech stack (e.g., CRM, marketing automation, customer success platforms) to ensure clean, consistent data flows, and accurate hand-offs between Sales, Marketing and Customer Success teams.
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Dashboarding, Reporting & Analytics: Skilled in developing meaningful dashboards and reports to track GTM team performance (AEs, CSMs, etc.), pipeline progression, funnel metrics, forecasting, and presenting insights to leadership to inform strategic decisions.
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Process Design & Operational Efficiency: Ability to map, optimize and document end-to-end revenue lifecycle processes (lead → opp → customer → renewal/expansion) and identify bottlenecks, manual workarounds or misalignment across teams; implement scalable workflows.
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Cross-Functional Alignment & Collaboration: Strong collaborator who works across Sales, Marketing, Customer Success, Finance and Product to align objectives, share data and design common goals, ensuring the revenue engine operates as a unified system rather than isolated functions.
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Technical Acumen & Tool-Stack Fluency: Comfortable with a variety of RevOps / SaaS tools (CRM, enrichment / routing tools like LeanData or Demandbase, customer success platforms such as Catalyst IO or similar), and able to evaluate new tools, drive adoption and ensure technical hygiene.
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Data Quality, Governance & Insights: Deep commitment to data integrity, ownership of data governance practices, experience in cleaning/enriching datasets, managing duplicates, maintaining accurate territories/accounts, and deriving actionable insights from data trends.
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Revenue Forecasting & Metric Ownership: Responsible for defining, tracking and reporting key revenue KPIs (conversion rates, win rate, average deal size, churn/renewal, etc.), supporting forecasting models, and helping leadership understand revenue performance and levers for growth.
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Change Management & Scale Mindset: Experience working in a high-growth software company where change is frequent; comfortable managing projects, communicating changes to stakeholders, training users, scaling operations, and anticipating the needs of a growing GTM organisation.
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Strong Communication, Stakeholder Management & Business Acuity: Excellent verbal and written communication skills; able to translate complex systems and data into clear recommendations; partner with senior leadership and GTM leaders, frame business impacts of operations work, and drive decisions that support the company’s revenue growth strategy.
Why Fal.ai
At Fal.ai, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption—while building deep relationships with customers who are transforming their industries through intelligent technology.
What we offer at fal
- Interesting and challenging work
- Competitive salary and equity
- Employee-friendly equity terms (early exercise, extended exercise)
- A lot of learning and growth opportunities
- We are currently hiring in downtown San Francisco.
- We offer visa sponsorship and will help you relocate to San Francisco.
- Health, dental, and vision insurance (US)
- Regular team events and offsites
Compensation
- $150,000 - $180,000 Base + equity + comprehensive benefits package
