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Siro is an AI-powered platform that transforms field sales operations by automating admin work, providing real-time visibility to managers, and enabling executives to make data-driven decisions. The platform integrates with Salesforce and analyzes thousands of in-person sales conversations to surface insights and drive outcomes. Backed by $75M in funding from top-tier investors (Index, Fika, CRV, SignalFire), Siro serves leading brands in home improvement, retail, hospitality, and automotive, with a team drawn from Meta, McKinsey, Doordash, and Uber.
As Siro's first dedicated GTM Engineer, you will build the data infrastructure that powers customer acquisition and sales effectiveness. This is a hands-on builder role focused on creating scalable systems for the GTM organization's outbound motion.
Key Responsibilities:
- Design and automate end-to-end GTM data flows, turning requirements into triggers and pipelines that source, enrich, and sync data across tools (CRM, data warehouse, outbound platforms). You'll capture digital signals that enable sellers to focus on high-value accounts.
- Own the GTM data layer, ensuring data quality, deduplication, and trustworthiness across source-of-truth systems. Maintain field definitions, integrations, and sync logic.
- Document and maintain systems to prevent silent failures and enable team scaling.
- Collaborate with GTM leadership to pressure-test scopes, flag edge cases, estimate effort, and recommend simpler solutions.
- Build reporting and analysis infrastructure—queries and models powering pipeline, funnel, and account-level dashboards for leadership decision-making.
- Develop strategic insights by analyzing system performance and making data-driven recommendations for product and platform investments.
- Evaluate new platforms and datasets to determine ROI for the sales team.
Requirements:
- 3–5 years of hands-on experience in data science, data engineering, analytics engineering, or GTM engineering
- Strong Python and SQL skills
- Proven experience building and maintaining data pipelines, API integrations, and/or ETL workflows
- Comfort working with CRM data (HubSpot or Salesforce) and its inherent messiness
- Experience with GTM tools such as Clay, Freckle.io, and/or Deepline
- Track record of taking specifications and shipping reliably, on time, with strong judgment on edge cases
- AI-forward mindset, ideally from using LLMs or AI agents in workflows
- Clear written communication skills; ability to explain technical tradeoffs to non-technical stakeholders
- Curiosity about sales team dynamics and success drivers
Nice to have:
- Experience at an early-stage B2B SaaS company
- Technical degree (CS, statistics, math, engineering) or equivalent experience
- Familiarity with outbound platforms (Nooks, Outreach, Trelllus)
