GTM Engineer, Pave
$90-103k
+ Equity
3-4 days a week in office (Flatiron District, NY / Financial District, SF)
Employee compensation tools
Open for applications
Employee compensation tools
101-200 employees
Open for applications
$90-103k
+ Equity
3-4 days a week in office (Flatiron District, NY / Financial District, SF)
101-200 employees
Company mission
To build the world's best compensation tools and easily accessible market data so companies can plan, communicate, and benchmark in real-time.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- Data Operations & System Integrity (30%)
- 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
- Revenue Systems Automation (30%)
- 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
- Pipeline Strategy & Experimentation (40%)
- 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
Our take
Compensation survey and merit cycle processes are integral to so many businesses, and yet remain time-consuming manual activities. Staff often lack financial training resulting in spreadsheet induced errors. Pave saw a need to update and streamline the process.
The core advantage of Pave is its ease of integration with HRIS, ATS and cap table software, creating real-time compensation data views without the need for spreadsheets. Using the software creates a fair and transparent system that management can rely on and employees can respect. The company has seen strong momentum, with backing from big names like Y Combinator and az16.
Some organisations have been reluctant to adopt solutions like Pave’s on account of the radical transparency it provides. However, with companies like Credit Karma, Miro and Discord all signing on, Pave has proven its ability to draw lucrative enterprise-level clients. It also became a Unicorn in 2022 after an impressive Series C funding round, boding well for its longevity.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2022
$100m
SERIES C
Aug 2021
$46m
SERIES B
Total funding: $186.2m
Company benefits
- Compensation: Startup equity for full-time employees
- Wellness: Top tier health insurance along for full-time employees
- Food: All meals while working, plus snacks. We take our snacking seriously
- Commute: Commuter pre-tax benefit accounts + employer contribution for full-time employees
- Tech: Choose your laptop and accessories of choice
- Team: Retreats, happy hours, and events for our team, friends, and family
- Flexible Time Off: Take the time you need - we encourage our team to unplug with unlimited PTO
- WFH Wednesday: A dedicated work from home day each week + additional flexibility by team!
Company HQ
Union Square, San Francisco, CA
Leadership
Matt Schulman
(Founder & CEO)Matt studied at the Wharton School before working as an Engineer at DollarsEd and spending 2 years as a Facebook Software Engineer. He left this role in June 2019 to co-found Pave in October.
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