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Posted 5 days agoSenior Credit & Collections Analyst
at Figma
San Francisco, United StatesOn-site
Responsibilities
- Monitor and drive improvement in AR KPIs (DSO, ADD, CEI, % current, bad debt)
Requirements
- Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI.
- From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world.
- The ideal candidate is hands-on, detail-oriented, and energized by the chance to bring AI and automation into a finance function.
- Identify and implement automation and AI opportunities across the AR stack
- experience in AR / Collections in a SaaS or high-growth environment
- Strong understanding of Quote-to-Cash processes and hands-on
- experience with NetSuite, Stripe, Tesorio, or similar tools
- experience improving collections performance and driving cash flow outcomes and
- experience supporting month-end / quarter-end close
- Strong analytical skills with proficiency in Excel and data analysis
- Ability to operate independently and prioritize effectively in a fast-paced environment While not required, it’s an added plus if you also have:
- Experience managing or mentoring offshore resources and implementing or optimizing AR tools and automation
- Additionally, if hired you will be required to attend in person onboarding.
Benefits
- This is a high-impact role with ownership over collections strategy, cross-functional collaboration, and process improvement initiatives across our >$1B annual collections book.
- Sales tax, billing operations, or revenue recognition exposure At Figma, one of our values is Grow as you go.
- If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.
- Job level and actual compensation will be decided based on factors including, but not limited to, individual
- For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range.