Sr. Software Engineer (Full stack)

Revic•San Francisco, CA

62d•Hybrid

About The Position

About Revic Great sellers are the lifeblood of every business. They build relationships, understand needs, and close deals that drive growth. But too often, they're buried under administrative work, disconnected tools, and processes that pull them away from what they do best—selling. We believe salespeople deserve better. They deserve technology that works for them, not against them. Revic is an AI-native sales acceleration engine built to uplift sales professionals. We handle the complexity—analyzing data, identifying opportunities, triggering the right workflows—so reps can focus on the human side of sales. The conversations. The relationships. The moments that matter. Our platform learns what's working, defines who to sell to, and gives reps the context they need to move with confidence and precision. It removes the friction that slows them down and amplifies their natural strengths. Sales will always be human. Revic exists to make sure it stays that way—by letting AI handle everything else. Why This Role Exists Revenue teams waste 70% of their time on meta-work instead of selling. We're fixing this with AI agents built on a collective memory - connecting messy real-world data into context that drives autonomous action. Now we need someone who gets excited about turning chaos into intelligent systems. The Technical Challenge The Core Problem: How do you build a true AI native system that’s reliable enough to handle million-dollar enterprise deals? Your Mission: 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

Requirements

7+ years shipping production systems that scaled (not just survived)
You are obsessed with building the simplest possible solution for really complex problems
You measure progress in deployed features, not perfect plans
You've killed your darlings when simpler solutions emerged
You question everything, including your own assumptions
You can explain complex systems to a five-year-old
You're energized by problems everyone else thinks are impossible
You've unified data from 10+ disparate sources into something coherent
You've built systems that made decisions autonomously
You understand why "prompt engineering" isn't engineering
You've debugged distributed systems at 3am (and enjoyed it)

Responsibilities

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