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Technical Account Manager

New York, NY

Who We Are

At Pave, we're combining the world's largest real-time compensation dataset with deep expertise in AI and Machine Learning to reimagine how our clients make compensation decisions. By building the operating system for compensation, we're perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.

OpenAI, Instacart, Ramp, Snowflake, Stripe, Databricks, Okta, Perplexity, and 8,500+ companies use Pave to power their compensation ecosystems and transform every pay decision into a competitive advantage.

The future of pay is real-time & predictive, and Pave has raised $160M in funding to lead the way. Backed by Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures, we are transforming the compensation landscape.

Pave By The Numbers 

  • $190+ Billion in Total compensation spend managed in Pave workflows
  • 8,500+ Companies using Pave 
  • 1+ Million Unique employees auto-matched into Pave's real-time dataset
  • 135X Increase in equity benchmarks delivered with machine learning
  • 58% of Forbes AI 50 use Pave to benchmark compensation

Technical Account Management @ Pave: 

You’ll become a Pave product and compensation expert and you’ll use that expertise to onboard and manage 30-40 customers at a time. You’ll make sure your customers implement and get value from our products quickly, and tee them up for a healthy, long-term relationship with Pave.

You’ll do this in partnership with the Account Management team, the Sales team, the Product and Engineering teams to ensure our customers are successful.

What You'll Be Doing:

  • Drive successful implementation projects for Pave's compensation software, partnering closely with HR and Finance leaders to transform their compensation strategies while ensuring strong adoption and meaningful business outcomes.
  • Own end-to-end project management of customer implementations, creating detailed project plans, identifying risks early, and maintaining clear communication across multiple stakeholders to deliver solutions on time.
  • Become a trusted compensation expert and strategic advisor to customers, helping them leverage Pave's platform to solve complex compensation challenges and establish scalable processes for their organizations.
  • Collaborate across Product, Engineering, and Customer Success teams to surface customer needs, identify opportunities for platform improvements, and contribute to Pave's product evolution while wearing multiple hats in a fast-paced startup environment.
  • Build strong relationships with customers through clear communication, creative problem-solving, and a deep understanding of their unique business needs and compensation goals.

What You'll Bring:

  • You have 2-5 years of experience as a customer-facing Project Manager, Customer Success Manager, or Implementation Manager at a SaaS company.
  • You are a meticulous project manager; you make a plan, you execute against it and nothing falls through the cracks.
  • You’re a creative problem solver; you search for solutions that solve our customers needs that may not be immediately obvious.
  • You care about the customer outcomes; you ensure that they can achieve their goals using Pave and maintain healthy adoption and usage.
  • You are able to deal with a variety of stakeholders ranging from timeline-driven project managers, mission-driven Heads of People, and metrics-driven Finance folks.
  • You’re comfortable working autonomously, have a strong sense of prioritization and can instinctively spot high-leverage & “blocking” work.
  • You push to understand the “why” behind customer asks and can find the solution that won’t just help solve a problem one time but will help circumvent future problems.
  • You’re hungry to join a start-up, and are excited to move quickly, operate in uncharted territories and wear a lot of different hats that extend beyond your core responsibilities.
  • You love working with customers over video call/email and customers love working with you.

 

Compensation, It's What We Do.

This salary range may include multiple levels. 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. 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.

Our compensation ranges are structured into geographic tiers (1, 2, and 3) based on local market conditions and cost of living, read more about tiers here!!

The compensation range for this position is $144,500 - $205,000

Life @ Pave 

Since being founded in 2019 Pave has grown globally. We’re based across our HQ in San Francisco’s FiDi neighborhood, Flatiron in NYC and regional hubs in Salt Lake City and the United Kingdom.  We embrace a high-energy, collaborative in-person work environment at these locations, operating on a hybrid schedule that brings teams together in-office on Mondays, Tuesdays, and Fridays. 

Benefits 

At Pave roles, responsibilities, and compensation grow as you do, reflecting our commitment to your professional development.

  • Comprehensive Medical, Dental and vision coverage for you and your family, with plenty of options to suit your needs 
  • Flexible PTO and the ability to work from anywhere in the world for a month 
  • Lunch & dinner stipends as well as fully stocked kitchens to fuel you
  • Quarterly education stipend to continuously grow
  • Robust parental leave to bond with your new family
  • A commuter stipend to help you collaborate in person 

 

Vision 

Our vision is to unlock a labor market built on trust.

Mission 

Our team's mission is to build confidence in every compensation decision.

Values 

Our four values are intellectual honesty, playing to win, upholding the Pave platinum standard, and hug of jawn! 

Are you ready to help our clients make smarter, more effective compensation decisions?

 

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