Revenue Operations Manager
Manage pricing, GTM systems, processes, enablement, and analytics to scale revenue operations at a high-growth AI voice platform. Requires 3+ years RevOps/SalesOps experience at a B2B tech company.

San Francisco, CA
Voice AI platform for developers
Vapi provides a developer platform to build, test, and deploy voice AI agents that handle calls with low latency. It serves startups to Fortune 500 companies for phone operations and customer interactions. This enables scalable, secure voice AI integration into enterprise workflows.
Manage pricing, GTM systems, processes, enablement, and analytics to scale revenue operations at a high-growth AI voice platform. Requires 3+ years RevOps/SalesOps experience at a B2B tech company.
Chief of Staff serving as a force multiplier to the CEO at fast-growing Voice AI company Vapi. Own ambiguous cross-functional problems, run operating cadence and key processes (planning, board prep, all-hands), represent CEO in meetings, and drive measurable outcomes across strategy, operations, and hiring.
Build and optimize marketing operations and campaign systems at fast-growing Voice AI company Vapi. Own HubSpot workflows, event ops, lifecycle nurturing, data quality, funnel reporting and attribution using SQL, APIs and AI-powered tools. Requires 5+ years in marketing ops at high-growth firms.
Own the end-to-end order-to-cash cycle for a voice AI platform, managing usage-based billing, invoicing, collections, AR, revenue recognition (ASC 606), and month-end close activities. Requires 3-6 years in billing/revenue accounting at a SaaS company with strong DSO management and cross-functional skills.
Own end-to-end cost-of-revenue analysis for Vapi's voice AI platform. Build unit economics models, analyze cloud/infrastructure costs, partner with Engineering on optimizations, and forecast COGS/gross margins for leadership. Requires 4-8 years in FP&A or cost analysis with strong modeling skills.
Product Designer shaping AI-native voice agent workflows and complex technical product experiences at Vapi. Requires 5+ years experience, exceptional taste, AI fluency, rigorous/systems thinking, and B2B/enterprise background with preference for modern tools like Linear or Vercel.
Founding Senior IC to recruit, sign, and activate solutions partners (SIs, AI consultancies, CX agencies) to build a scalable partner-sourced pipeline channel for Vapi's voice AI platform. Requires 7+ years in B2B partnerships/channel sales with 3+ years launching new partners from near-zero.
Technical customer-facing role supporting enterprise sales of Vapi's voice AI platform. Lead discovery, demos, POCs, integrations, and technical close for telephony/contact center customers. Requires 4+ years pre-sales or solutions architecture experience plus voice/telephony background.
Build and lead the Sales Engineering function at Vapi as a player-coach. Hire and manage SEs, set standards for demos/POCs/discovery, stay hands-on in major enterprise deals involving voice AI, telephony, and LLM integrations. Requires 6+ years technical customer-facing experience, 2+ years managing SEs, and hands-on coding/integration skills.
Lead and coach a team of Mid-Market Account Executives at a fast-growing Voice AI startup. Drive forecast accuracy, pipeline discipline, and sales methodology adoption to scale revenue.
Build and maintain GTM systems and automations (Salesforce, HubSpot, Clay, Gong) while designing revenue processes and analytics dashboards for a fast-growing voice AI platform.
Own recruiting operations and candidate experience end-to-end for a fast-growing voice AI startup. Manage interview scheduling, ATS hygiene, recruiting analytics, and process improvement in a hybrid San Francisco role.
Build and run Vapi's incident response and escalation program for voice AI infrastructure. Own the pager, incident commander rotation, customer RCAs, and cross-functional escalations at a high-scale platform company.
Owns the StreamModule voice pipeline (VAD→STT→LLM→TTS) for real-time call agents. Consolidates BullMQ to Kafka, hardens provider abstractions, adds OTEL tracing, and eliminates Postgres SPOFs.
Hands-on DevSecOps lead building and hardening security posture for a voice AI platform serving Fortune 500 customers. Focus on shift-left security, compliance automation, and multi-tenant infrastructure.
The Member of Technical Staff, DevOps will own progressive delivery, GitOps, and on-demand environment tooling to improve deployment safety and speed for engineering teams. This role requires a platform-as-a-product mindset and experience with infrastructure as code and CI/CD pipelines.
Vapi is seeking a Site Reliability Engineer to drive 99.99% call completion for their Voice AI platform. This role involves running incident command, owning SLOs and error budgets, building reliability culture, and shipping code for platform services in Go or TypeScript.
Owns end-to-end QA for Vapi's voice AI platform, building Playwright e2e tests, testing integrations (LLMs, STT, TTS, telephony), filing bugs, and partnering with engineers on releases. Requires 5+ years QA/SDET experience, TypeScript/JavaScript proficiency, and AI coding tools usage.
Leads and scales a technical L1 support engineering team for enterprise customers, managing SLAs, triaging complex voice AI issues with LLMs/STT/TTS, and bridging feedback to engineering. Requires 5+ years technical support experience, 2+ years managing teams, and fluency in APIs, Python/JS, and voice tech.
Deploys voice agent solutions onsite for enterprise customers, discovers expansion use-cases, and builds products to streamline future deployments. Requires early startup technical experience and FDE background at admired companies.
Builds and owns end-to-end product features for voice agent platform, including WhatsApp integration and RL loops. Experienced in scaling products from Series B to F stages with customer-facing API design.
Owns portfolio of enterprise accounts in post-sales, driving retention, renewals, and expansions through stakeholder relationships, health monitoring, and QBRs. Requires 5+ years in customer success or TAM at B2B SaaS, technical fluency in APIs/integrations.
Build and own backend systems for voice agent platform, including pipelines, WhatsApp integrations, and customer-facing APIs. Experienced engineer from Series B-F companies who has shipped admired products.
Infrastructure engineer scales multi-cluster, multi-cloud systems handling millions of concurrent voice calls to 100s of millions, owning services like Anycast routers and GPU clusters. Requires experience scaling massive resilient systems from Series B+ stages.
Leads demand generation to build scalable marketing engine, accelerating revenue and enterprise pipeline in voice AI. Requires 8+ years marketing experience, 4+ in leadership, expertise in ABX, HubSpot, Salesforce, and AI-driven GTM for developer audiences.
SDR role focused on outbound campaigns to engage enterprise prospects in voice AI, qualifying leads for Account Executives and generating pipeline across key verticals. Targets product and engineering leaders; startup experience preferred.
Drives full-cycle sales of voice automation platform to mid-market companies (250-1000 employees), conducting demos, articulating ROI, and closing $120k+ deals with technical and business stakeholders. Requires proven B2B SaaS sales track record exceeding quota in early-stage environments.
Leads large strategic enterprise deals for voice automation platform, from discovery and pilots to technical validation and commercial close. Requires experience selling multi-million dollar deals to Fortune 500 companies.