Revic

• Own post-sales relationships end-to-end: guiding onboarding, driving product adoption, delivering measurable ROI • Shape customer journey from scratch, define success playbooks, build metrics and tooling • Monitor customer health proactively, spot churn risk before it's visible • Capture insights from every interaction and feed them back into Product and Engineering • Build the systems to handle onboarding, QBRs, support, strategic conversations at scale

• Collect, collate and make useful data from 50+ data sources such as CRM, public data, communication streams • Design data pipelines that can do this across TBs of data, reliably • Design AI systems that can reason and act on messy data • Build applications and data consumption mechanisms that elevate a seller’s life and maximizes revenue instead of building the #45768 sales tech tool. • Balance accuracy, latency, and cost across thousands of concurrent agent runs

• Own full-cycle enterprise sales for deal sizes between $200k–$250k+ ARR • Own complex sales cycles: targeted outbound → discovery → demo → business case → close • Sell consultatively into CRO, CMO, RevOps, Enablement, and Sales leadership • Build and deliver compelling pitch decks, demos, and ROI narratives • Translate complex, technical workflows into clear business value • Partner closely with product and engineering to shape messaging, demos, and roadmap • Build Revic’s early sales playbooks and collaborate with GTM to turn customer learnings into scalable GTM assets • Pressure-test ICP, pricing, and messaging through real customer conversations • Turn customer insights into actionable feedback that sharpens ICP and positioning • Turn early enterprise wins into repeatable patterns, references, and GTM leverage • Help define the foundations of Revic’s sales motion and, over time, support the onboarding and growth of future AEs

• Design, build, and maintain the cloud infrastructure and developer platform that powers Revic's AI systems • Own CI/CD pipelines, deployment automation, and environment management so engineers ship with confidence • Build and operate observability, monitoring, and alerting systems that catch problems before customers do • Manage the infrastructure layer that fuels our AI agents • Improve developer experience by reducing friction in local development, testing, and production debugging • Collaborate with product engineering to design systems that are secure, scalable, and cost-efficient • Champion infrastructure-as-code, automated testing, and operational best practices across the team

• Own full-cycle sales for deal sizes between $50k–$125k ARR • Own complex sales cycles: targeted outbound → discovery → demo → business case → close • Sell consultatively into CRO, CMO, RevOps, Enablement, and Sales leadership • Build and deliver compelling pitch decks, demos, and ROI narratives • Partner closely with product and engineering to shape messaging, demos, and roadmap • Build Revic’s early sales playbooks and collaborate with GTM to turn customer learnings into scalable GTM assets • Turn customer insights into actionable feedback that sharpens ICP and positioning • Turn early customer wins into repeatable patterns, references, and GTM leverage • Help define the foundations of Revic’s sales motion and, over time, support the onboarding and growth of future AEs