Job Overview
Location
San Francisco
Job Type
Full-time
Category
Data Science
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain the GTM tech stack including Salesforce, HubSpot Marketing Hub, Clay, Gong, and vibecoded solutions to power revenue operations at scale.
- • Architect and automate end-to-end revenue workflows spanning lead routing, pipeline management, forecasting cadences, and handoff protocols between sales, marketing, and customer success teams.
- • Develop and manage data enrichment pipelines that enhance lead and account data quality for improved targeting and conversion.
- • Create and maintain reporting infrastructure and dashboards that provide GTM leadership with real-time visibility into pipeline health, funnel conversion rates, win/loss trends, and revenue forecasts.
- • Translate complex revenue data into actionable insights that directly improve deal velocity and win rates across the organization.
- • Collaborate with sales, marketing, and customer success teams to operationalize processes that ensure consistency, accuracy, and scalability in revenue execution.
- • Serve as the primary technical owner for integrations between CRM, marketing automation, analytics, and communication tools to eliminate data silos and streamline workflows.
- • Continuously optimize the GTM technology ecosystem by identifying inefficiencies, proposing solutions, and implementing scalable automation to reduce manual effort.
- • Partner with engineering and product teams to align revenue operations systems with product capabilities and customer usage patterns.
- • Ensure all revenue systems are configured to support high-growth B2B SaaS metrics including ARR growth, customer acquisition cost, and sales cycle length.
- • Maintain documentation for all GTM systems, automations, and processes to enable onboarding, auditability, and cross-functional alignment.
- • Act as a bridge between technical systems and non-technical GTM teams by translating complex technical concepts into clear, persuasive narratives for stakeholders.
- • Contribute to the design and implementation of new revenue processes from zero to one, leveraging a builder mindset in a fast-paced, high-growth environment.
- • Support the adoption of new tools and technologies within the GTM stack by providing training, documentation, and change management support.
- • Monitor system performance and data integrity to proactively resolve issues that impact revenue forecasting accuracy or sales productivity.
- • Align all revenue operations activities with company-wide values including urgency, ownership, direct communication, and customer-centricity.
🎯 Requirements
- • 6+ years of experience in GTM Engineering, RevTech, Sales Systems, or Salesforce Development at high-growth B2B tech companies
- • Background or strong interest in developer tools, API platforms, or AI infrastructure
- • Exceptional communicator who can translate complex technical concepts into simple, persuasive narratives
- • Builder mindset with experience creating durable processes from scratch in zero-to-one environments
🏖️ Benefits
- • Competitive salary and excellent equity ownership
- • Comprehensive health coverage including medical, dental, and vision plans
- • Quarterly off-sites and team bonding activities
- • Flexible time off policy — take what you need
- • Catered meals, transportation assistance, gym membership, and $10k annual learning and development budget
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Vapi Technologies Inc.
Vapi empowers developers to build and deploy advanced voice AI agents through a highly configurable, API-first platform. Serving a wide range of clients from startups to Fortune 500 companies, Vapi simplifies the creation of leading voice AI products and scales phone operations efficiently. The platform supports a global user base, evidenced by its multilingual capabilities in over 100 languages. With impressive traction, Vapi has powered over 300 million calls and launched more than 2.5 million assistants, highlighting its significant impact and reliability in the voice AI market.
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