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 https://www.pave.com.
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.