At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
Pave's Revenue Operations team sits at the intersection of data, automation, and go-to-market strategy. We're looking for a Junior Go-To-Market Engineer to help build the technical foundation that powers our sales motion. You'll work directly with our GTM Engineer to ensure pristine data quality across our systems, eliminate manual work through automation, and experiment with new ways to generate pipeline. As we scale, you'll help orchestrate our end-to-end pipeline generation engine and prepare our systems for AI-driven GTM workflows. This role offers unique exposure to the full revenue stack and the opportunity to see your technical work directly impact company growth.
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
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
Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.
The targeted cash compensation for this position is (level depends on experience and performance in the interview process):
$106,000 - $125,000
Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships
At Pave, career advancement drives everything—roles expand, responsibilities deepen, and compensation rises alongside your professional growth.
Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs
Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month
Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you
Professional Development: Quarterly education stipend to continuously grow
Family Support: Robust parental leave to bond with your new family
Commuter Assistance: A commuter stipend to help you collaborate in person
Opens the original job posting on paveakatroveinformationtechnologies.com
$106,000 – $125,000
Base Only · Equity
