AP Specialist (Contract)

Posted:
10/21/2024, 1:11:15 PM

Location(s):
California, United States ⋅ San Francisco, California, United States

Experience Level(s):
Mid Level

Field(s):
Customer Success & Support ⋅ Sales & Account Management

Workplace Type:
Hybrid

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

We are looking for an Accounts Payable Specialist to join our Finance team at Anthropic. In this role, you will take ownership of AP processes, systems, and reporting for both our US and international vendors. If you are looking for an opportunity to have a significant impact at our innovative AI company, come support the team making AI safe.

Responsibilities:

  • Oversee the complete vendor invoicing process, ensuring accurate vendor information, accurate accounting treatment and GL coding, sales tax / VAT treatment, and ensuring invoices are matched to the correct purchase orders (POs) in accordance with SLA timelines
  • Monitor AP inbox to ensure invoices are routed to Zip HQ system correctly and timely and that all vendor inquiries are addressed in accordance with SLA timelines
  • Ensure internal controls and procedures are followed and identify any discrepancies or unmitigated risks
  • Ensure operational efficiency and compliance by documenting and continuously improving procedures and workflows, including developing and maintaining internal controls over AP processes. Proactively identify inefficiencies in the process and propose solutions.
  • Review billing statements and follow-up with vendors as needed to ensure timely invoices and payments
  • Participate in special projects, analysis, and ad-hoc tasks

You may be a good fit if you:

  • Have 4+ years of experience in AP invoice processing in both the US and at least one international market
  • Experience at rapid-growth tech companies and designing AP processes to scale
  • Have the ability to prioritize and multitask in a fast-paced environment
  • Highly organized with a strong attention for detail
  • Have experience maintaining confidentiality and handling sensitive information
  • Have experience partnering with cross-functional teams, including legal, IT, tax, accounting and finance
  • Have strong communication skills with a customer-service orientation and ability to interact with all levels of the organization

Strong candidates may have:

  • Have experience with AP automation software including optical character recognition (OCR), robotic process automation (RPA) and electronic invoicing
  • Have experience with NetSuite and Zip HQ and proficiency with Google Suite and Microsoft Office
  • Have an accounting background

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Compensation (USD):

  • This role is contract and the expected base pay for this role is $70 - $80/hour, 40 hours per week maximum. This role will be employed through our 3rd party talent partner.

Role Specific Location Policy:

  • While we currently expect all staff to be in one of our offices at least 25% of the time, this role is exempt from that policy and can be done remotely from anywhere in the US.

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits -  The following benefits are for our US-based employees:

  • Optional equity donation matching.
  • Comprehensive health, dental, and vision insurance for you and all your dependents.
  • 401(k) plan with 4% matching.
  • 22 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Stipends for education, home office improvements, commuting, and wellness.
  • Fertility benefits via Carrot.
  • Daily lunches and snacks in our office.
  • Relocation support for those moving to the Bay Area.

UK Benefits -  The following benefits are for our UK-based employees:

  • Optional equity donation matching.
  • Private health, dental, and vision insurance for you and your dependents.
  • Pension contribution (matching 4% of your salary).
  • 21 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Health cash plan.
  • Life insurance and income protection.
  • Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Anthropic

Website: https://www.anthropic.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 251-500

Year Founded: 2021

IPO Status: Private

Last Funding Type: Series D

Industries: Artificial Intelligence (AI) ⋅ Generative AI ⋅ Information Technology ⋅ Machine Learning