About the role
Field sales powers the economy — but most teams are struggling. Reps are buried in admin work, managers are stretched thin, and leaders can’t see what’s really happening in the field. Siro is redefining how field sales teams learn, perform, and win. We started as an AI-powered coaching platform that helped reps improve their outcomes in the field. Today, we’re something much bigger — an intelligent companion that automates sales reps’ tedious admin work, gives managers real-time visibility, and helps executives see around corners. Our platform integrates with systems like Salesforce, analyzing thousands of in-person sales conversations to surface insights, automate workflows, and drive better outcomes across the org. Think Iron Man’s Jarvis for sales — proactive, personalized, and built directly into the tools teams already use. Siro has raised $75M and is backed by world-class investors like Index, Fika, CRV, and SignalFire. We are trusted by leading home-improvement, retail, hospitality, and automotive brands, and powered by a lean team from Meta, McKinsey, Doordash, and Uber. We’re building the future of human-AI collaboration in sales — and we’re just getting started.
About
the Role We're looking for a pioneering Data Scientist to help own the analytics and data layer across the company. You'll work across the full spectrum defining metrics, building dashboards, designing experiments, developing LLM-powered extraction pipelines, and presenting findings directly to customers. This isn't a role where you'll inherit a mature data stack and optimize at the margins. You'll be shaping how Siro understands its own product, how customers understand their sales teams, and how our AI features get measured and improved. As part of a small data team, you'll have real ownership over what you build and genuine influence over what gets built next.
The role spans business intelligence, applied AI, and customer-facing analysis often in the same week. What you’ll do AI Feature Development & Evaluation Prototype and design new AI-powered features from initial concept through prompt engineering, pipeline architecture, and validation bridging the gap between what's possible with LLMs and what's useful for customers Develop evaluation frameworks to measure the quality and reliability of Siro's AI features extraction accuracy, agentic workflow performance, and answer quality Design and maintain benchmarks that track AI performance over time, catching regressions before customers do Partner with Engineering to translate evaluation results into concrete improvements, closing the loop between measurement and product quality Product Analytics & Business Intelligence Define and standardize key product metrics adoption, engagement, reliability ensuring numbers mean the same thing regardless of who's looking or where they're looking Build and maintain dashboards for both internal teams (Product, Sales, Customer Success) and external customers, covering usage patterns, feature adoption, and product health Design data models and enablement tooling that let non-technical stakeholders self-serve, and build custom reports and analyses when they can't Own data quality and serve as the internal authority on Siro's data establish standards and monitoring, work with Engineering to fix issues at the source, and be the person teams come to when they need to understand what the numbers actually say Customer Insights & Experimentation Combine traditional quantitative methods with LLM-based analysis across structured and unstructured data to surface actionable insights for customer organizations what's working in their sales process, what isn't, and where the biggest opportunities are Design experimental frameworks and ROI analyses for pilot customers, balancing statistical rigor with business pragmatism to prove Siro's impact Develop novel extraction and analysis pipelines that deepen what Siro can learn from conversation data, making our insights more differentiated and our dataset more competitively valuable