# Revenue Operations Manager - Revenue Planning & Insights at Betterment

- Company: Betterment
- What the company does: Betterment can help grow your money by making saving and investing easy. Invest in a tailored portfolio, set buckets for your goals, and earn rewards. Backed by Bessemer and Menlo.
- Company website: https://www.betterment.com/
- Type: Startups
- Level: Senior
- Location: Betterment HQ - New York City
- Work setup: On-site
- Pay: $120K to $145K base salary per year (USD)
- Posted: 2026-09-08
- Apply by: 2026-10-23
- Apply: https://www.betterment.com/careers/current-openings/job?gh_jid=8177550&gh_jid=8177550
- Page: https://www.1752.vc/careers/jobs/betterment-revenue-operations-manager-revenue-planning-and-insights/

## About the role

We're hiring an analyst and builder for our Revenue Operations team to be a force multiplier for our go-to-market organization. Sometimes that means tackling a question with no playbook yet. Sometimes it means running an established process and improving it as you go. You'll take on ambiguous, high impact questions and turn them into clearly defined problems, design the right solution, and drive it through build, adoption, and continuous improvement.

## What they're looking for

- At least five years of experience in Revenue Operations, Sales Operations, Go-to-Market Analytics, or Business Operations, or a highly analytical operating role
- Investigate open-ended business questions, determining the right data, methodology, and solution
- SQL fluency and comfort handling large, intricate datasets – you think in joins, grain, and systems of record
- A systems mindset: you anticipate edge cases, understand downstream impacts, and design scalable solutions that won’t need to be rebuilt every quarter
- Fluency with modern AI tools to accelerate analysis, problem-solving, and development – ou're comfortable working with agentic AI workflows, critically evaluating outputs, and choosing the right solution for the problem
- Strong analytical instincts and business judgment – you optimize for the objective behind the ask, not the ask itself

Tags: RevOps