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Revenue Accountant

ThatchThatch·Artificial Intelligence

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~12 min

Company site

Posted

37 days

01

About the role

About the role

As the first dedicated member of our Revenue Accounting team, you will report directly to the Head of Finance and Operations and play a key role in designing and implementing scalable processes, providing actionable insights to drive business performance, and managing our revenue streams.

You will collaborate closely with our Head of Finance, Sales, and Product/Engineering teams as we rapidly scale our employer and member base and expand our product and service offerings.

We are looking for a detail-oriented, motivated self-starter who thrives in a fast-paced, dynamic environment. In return, we offer a challenging role with direct exposure to critical areas of our operations.

This role covers invoicing and payment operations, revenue recognition, and partnering with internal engineering teams to build and maintain efficient operational processes at scale.

Please note: This is a hybrid position, with up to 3 days per week in our Austin office.

What you'll do

  • Own invoicing, payment, and revenue operations, managing day-to-day processes and handling escalations.
  • Partner cross-functionally with Product and Engineering to enhance operational processes and ensure scalability as the business grows.
  • Execute month-end close procedures, including account reconciliations and fluctuation analysis across multiple revenue streams.
  • Collaborate with key business partners on policies, processes, and programs.

Background we're looking for

  • At least 5 years of revenue operations experience.
  • Proven experience partnering with business and product teams, ideally in a hyper-growth environment.
  • Strong financial, analytical, and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Familiarity with accounting software and data platforms.

Experience we’d be particularly excited about

  • Prior experience at a hyper growth technology company.

What to expect

We interview rigorously based on integrity, talent, and drive; the trust we display in our teammates from day 1 is a reflection of the confidence we have in this process. We aim to evaluate the things you’ll be doing every day as best we can, and we move quickly. Here's what to expect:

  • 20 minute video meeting to talk through your background and interest in Thatch
  • 30 minute video meeting with the hiring manager to dive deeper into your experience and the role
  • 30 minute video meeting to meet 2-3 members of the team
  • 30 minute video meeting with our founders to discuss your approach to culture and our operating principles

About Thatch

We’re a fully distributed early stage company using technology to change the way America does healthcare. We’re a happy, friendly, high-velocity team. You can read more on Thatch here.

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Aplyr's read

Thatch leverages AI to transform data management, attracting tech-savvy professionals eager to innovate in a rapidly evolving industry.

Synthesized from recent postings & public sources

What's promising

  • Thatch's focus on AI positions it at the forefront of technological innovation.
  • Recent hires suggest a commitment to enhancing both product and employee experience.
  • Diverse roles indicate growth across technical and operational domains.

What to watch

  • Limited public information about Thatch's financial stability could concern prospective employees.
  • Rapid expansion may strain existing resources and infrastructure.
  • AI-driven solutions face intense competition from established tech giants.

Why Thatch

  • Thatch's AI solutions specifically target data management, a niche with growing demand.
  • The company emphasizes employee experience, indicating a strong internal culture focus.
  • Strategic roles like Carrier Partnership Lead suggest a unique approach to industry collaboration.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About Thatch

Thatch is a technology company specializing in AI-driven solutions for data management and analysis.

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