GTM Engineer
Pave is building the industry's leading compensation platform, combining real-time compensation data with AI and machine learning expertise. They are seeking a Junior Go-To-Market Engineer to enhance data quality, automate workflows, and generate pipeline strategies that directly impact company growth. Responsibilities Maintain and improve data quality across Salesforce, ensuring accurate lead routing, opportunity tracking, and account hierarchies Build and monitor data validation rules, duplicate management processes, and enrichment workflows Establish data hygiene standards that enable AI-ready datasets for predictive modeling and automation Identify and resolve data inconsistencies that impact reporting, forecasting, or sales efficiency Create and maintain documentation for data standards and processes Design and implement automated workflows across our GTM stack (Salesforce, Clay, Pocus, Gong, Outreach, and others) Build integrations between systems to eliminate manual data entry and ensure seamless data flow Develop custom solutions using Salesforce Flow, Apex, APIs, and third-party automation tools Monitor system performance and troubleshoot integration issues Orchestrate automated pipeline generation plays across multiple channels (signal-based outreach, inbound routing, account prioritization) Test and iterate on GTM motions, collaborating with Sales and Marketing to surface actionable insights Build data infrastructure that enables AI-powered workflows and predictive pipeline generation Analyze the performance of various experiments and recommend optimizations Build dashboards and reporting to track experiment outcomes and pipeline health Skills 1-3 years of experience in revenue operations, sales operations, marketing operations, or a similar technical GTM role Strong working knowledge of Salesforce (administration, flows, validation rules, custom objects) Experience with modern GTM tools like Clay, Pocus, Gong, Outreach, or Zapier Strong analytical mindset with attention to detail—you notice when data doesn't look right Familiarity with business intelligence tools like Looker, Hex, or similar analytics platforms Proficiency in at least one scripting language (Python, JavaScript, or similar) or willingness to learn quickly SQL skills for querying and analyzing data Knowledge of APIs and webhooks for building custom integrations Salesforce certifications (Administrator, Advanced Administrator, or Platform App Builder) Background in a technical sales or customer success role Interest in compensation, people analytics, or HR tech Benefits Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are. Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you. Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it. A quarterly education stipend to invest in the skills and knowledge that matter most to you. Robust parental leave so you can be fully present for the moments that count. A commuter stipend to support the in-person collaboration that makes great work happen. Company Overview Pave is a market-leading compensation management platform. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship Pave has a track record of offering H1B sponsorships, with 4 in 2025, 2 in 2023, 6 in 2022. Please note that this does not guarantee sponsorship for this specific role.