
11 - 50 employees
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Revic is an AI-native sales acceleration engine that helps B2B revenue teams identify high-yield accounts, time outreach, and win deals faster. It combines public, private, and proprietary data with a network of specialized AI agents to build a dynamic, evolving Actual Customer Profile (ACP), score readiness signals, automate research and outreach, and surface prioritized accounts and personalized playbooks for reps. Revic integrates with CRMs and sales tools to create a Collective Sales Memory that continuously learns from wins and losses to improve targeting, forecasting, and execution across the entire GTM organization.
🕒 March 17
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11 - 50 employees
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Revic is an AI-native sales acceleration engine that helps B2B revenue teams identify high-yield accounts, time outreach, and win deals faster. It combines public, private, and proprietary data with a network of specialized AI agents to build a dynamic, evolving Actual Customer Profile (ACP), score readiness signals, automate research and outreach, and surface prioritized accounts and personalized playbooks for reps. Revic integrates with CRMs and sales tools to create a Collective Sales Memory that continuously learns from wins and losses to improve targeting, forecasting, and execution across the entire GTM organization.
• 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
• 5+ years of experience building and operating cloud infrastructure (AWS, GCP, or Azure) • You've designed systems that handled real production traffic, not just weekend projects • You understand distributed systems deeply enough to know where they break • You measure success by uptime, deployment velocity, and how happy your fellow engineers are • You automate everything you can and document what you can't • You've built CI/CD pipelines that teams actually trust • Solid experience with containerization and orchestration (Docker, Kubernetes) • Comfortable with infrastructure-as-code tools (Terraform, Pulumi, or similar) • Strong scripting and automation skills (Python, Bash, Go, or similar) • Familiarity with data infrastructure (Spark, Databricks, Airflow, or similar) is a strong plus
• Competitive base + meaningful equity (we're not another 0.001% shop) • Premium health, dental, vision - we take care of our people • Offsite - We trade slack for sunshine, every quarter we meet in-person • Own the platform that powers an AI-native product from the ground up • Ship daily, learn instantly • Work directly with engineering leadership to shape technical direction • Uncapped growth, the kind that comes from building, not waiting
Apply Now🕒 February 27
Lead Engineer responsible for overseeing AI Platform Engineering and SDLC frameworks at Grantek. Manage development toolchains and implement automation solutions while mentoring teams.
🕒 December 25, 2025
Senior Software Engineer building and scaling the core AI-driven procurement platform. Collaborating with founding engineers on backend services, workflows, and user interfaces using Node.js and React.