Anthropic

1 month ago

Senior Manager, Accounts Receivable, Credit & Collections

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead and scale the EMEA credit and collections function for a fast-growing enterprise SaaS company. Own end-to-end AR lifecycle, automation roadmap, and AI-enabled workflows; manage a team of managers and analysts; collaborate with Sales, Legal, Deal Desk, and Customer Success to extend credit responsibly and collect efficiently at enterprise scale; align with global peers.

Location: Dublin

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Banking, Lending & Credit

Seniority: Sr. Manager level

Key Responsibilities

•Set the strategic direction for EMEA credit and collections, including portfolio management, aging reviews, and cash forecasting for the region.
•Own the EMEA collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing.
•Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses.
•Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage.
•Own credit risk strategy for new and existing EMEA customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts.

Pay and Benefits

Salary: EUR 170,000 - 220,000 annually

Key Requirements

•Experience leading credit and collections teams in a high-growth or enterprise SaaS environment, including managing other managers.
•Demonstrated experience driving automation across credit and collections workflows, with measurable improvements to efficiency, coverage, or DSO.
•Strong working knowledge of commercial credit risk assessment, including use of credit reporting tools (e.g., Dun & Bradstreet, Creditsafe, Experian) and financial statement analysis.
•Hands-on experience with ERP and AR systems (e.g., NetSuite, Oracle, SAP) and AR automation platforms (e.g., Tesorio, HighRadius, Billtrust), including shaping workflow and integration design rather than just using them.
•Working knowledge of EMEA-specific AR considerations, including multi-currency collections, SEPA/BACS payment flows, and VAT implications for billing and collections.

Experience:Enterprise SaaSFinanceAccounts receivable

Education:Bachelor's

Skills:LeadershipCommunicationProblem-solvingStakeholder managementNegotiation

Languages:English

Tech Stack:NetSuiteOracleSAPTesorioHighRadiusBilltrustDun & BradstreetCreditsafeExperianExcelGoogle Sheets

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

1 month ago

Senior Manager, Accounts Receivable, Credit & Collections

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Banking, Lending & Credit

Seniority: Sr. Manager level

Key Responsibilities

•Set the strategic direction for EMEA credit and collections, including portfolio management, aging reviews, and cash forecasting for the region.
•Own the EMEA collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing.
•Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses.
•Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage.
•Own credit risk strategy for new and existing EMEA customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts.

Pay and Benefits

Salary: EUR 170,000 - 220,000 annually

Key Requirements

•Experience leading credit and collections teams in a high-growth or enterprise SaaS environment, including managing other managers.
•Demonstrated experience driving automation across credit and collections workflows, with measurable improvements to efficiency, coverage, or DSO.
•Strong working knowledge of commercial credit risk assessment, including use of credit reporting tools (e.g., Dun & Bradstreet, Creditsafe, Experian) and financial statement analysis.
•Hands-on experience with ERP and AR systems (e.g., NetSuite, Oracle, SAP) and AR automation platforms (e.g., Tesorio, HighRadius, Billtrust), including shaping workflow and integration design rather than just using them.
•Working knowledge of EMEA-specific AR considerations, including multi-currency collections, SEPA/BACS payment flows, and VAT implications for billing and collections.

Experience:Enterprise SaaSFinanceAccounts receivable

Education:Bachelor's

Skills:LeadershipCommunicationProblem-solvingStakeholder managementNegotiation

Languages:English

Tech Stack:NetSuiteOracleSAPTesorioHighRadiusBilltrustDun & BradstreetCreditsafeExperianExcelGoogle Sheets

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn