A

Remote

Sr. Total Rewards Manager

Ashby

Overview

You bring several years of progressive Total Rewards experience, including meaningful ownership of compensation, benefits, and equity programs in high-growth organizations and you’ve built compensation infrastructure from the ground up. You bring an analytical first mindset. You build the model, pressure-test your own numbers, and would rather run the analysis yourself than wait for someone else t

Benefits, from the posting itself

Hover a row for the exact line it came from. Nothing inferred.

Competitive salary and equityreceipt ⟳
“Competitive salary and equity.”
10-year exercise window for stock optionreceipt ⟳
“10-year exercise window for stock options.”
Unlimited PTOreceipt ⟳
“Unlimited PTO with four weeks recommended per year.”
12 weeks fully paid family leavereceipt ⟳
“Twelve weeks of fully paid family leave in the US.”
$100/month education budgetreceipt ⟳
“$100/month education budget with more expensive items (like conferences) covered with manager approval.”

Key Responsibilities

  • You bring several years of progressive Total Rewards experience, including meaningful ownership of compensation, benefits, and equity programs in high-growth organizations and you’ve built compensation infrastructure from the ground up.
  • You bring an analytical first mindset. You build the model, pressure-test your own numbers, and would rather run the analysis yourself than wait for someone else to.
  • You’re a structured thinker. You take a messy question, break it into the parts that matter, form a hypothesis, and test it — and you can walk someone through your reasoning without losing them.
  • You’re a creative problem solver in the comp space. When benchmarks are thin or the role is new, you reason from first principles and design the approach that fits the problem and not the one you used last time.
  • You’re comfortable where some principles are centralized and other elements are tailored by function, and you can keep that flexibility equitable and explainable.

Key Requirements

  • Experience building and scaling global compensation and benefits programs across multiple regions and employment models.
  • Experience using automation, AI, and technology to make Total Rewards operations faster, more accurate, and more scalable.
  • Strong modeling and data skills beyond the standard toolkit including advanced spreadsheet work, SQL, Python, or BI tools.
  • A background that blends Total Rewards with strategy consulting, corporate finance or FP&A, or people analytics. We value people who have been trained to structure and solve ambiguous problems, wherever they learned to do it.
  • Experience with tools such as CandorIQ, Pave, and OpenComp.