Credit and Collections Manager
About the job
- A Bachelor's degree in Finance or Accounting is required.
- At least 12 years of progressive experience across Credit and Collections, ideally in high-growth SaaS, technology, or complex B2B environments.
- Experience in credit risk assessment, collections strategy, and managing strategic or high-value customer relationships.
- Strong understanding of usage-based and subscription billing models, commercial contracts, and associated credit risks.
- Experience owning accounts receivable key performance indicators, collection targets, Collection Effectiveness Index, Days Sales Outstanding, ageing, cash forecasting, write-offs, and bad debt or reserve analysis.
- Experience operationalising credit policies, approval frameworks, and risk mitigation strategies.
- Experience governing outsourced collections operations against defined service-level agreements and performance metrics.
- Strong analytical capability, including translating large datasets into clear financial and risk insights.
- Advanced Microsoft Excel and strong enterprise resource planning and reporting systems experience.
- Ability to work PST hours.
- Lead the Credit and Collections function for an assigned scope, including credit policies, collection practices, risk mitigation, and escalation protocols.
- Own credit assessment, risk reviews, credit limits, payment terms, credit holds and releases, and exception management within the established approval framework.
- Make credit recommendations and decisions within delegated authority while balancing credit risk, cash conversion, and commercial considerations.
- Personally manage collections strategy and executive-level escalations for strategic and high-value customers.
- Lead resolution of complex disputes, contractual payment issues, and commercially sensitive collection matters.
- Own the monthly accounts receivable performance framework, including collection targets, cash collected versus target, Collection Effectiveness Index, ageing, write-offs, and cash forecasting.
- Translate accounts receivable and credit trends into actionable insights for Finance leadership, including emerging risks, recovery outlook, and bad debt or reserve considerations.
- Manage the Accenture collections engagement, including service-level agreement and key performance indicator governance, account allocation, quality, process adherence, escalations, and corrective actions.
- Partner with Sales, Customer Success, Revenue Operations, Legal, Billing, and Finance leadership to resolve high-impact credit and collection matters.
- Identify systemic drivers of delinquency and credit exposure and lead initiatives to strengthen controls, processes, and collection effectiveness.
- Drive process transformation and continuous improvement across Credit and Collections by leveraging automation, artificial intelligence, analytics, and scalable operating models.
- Serve as the subject-matter authority for Credit and Collections by providing guidance on complex cases, policies, credit decisions, and commercial considerations.
- Chartered Accountant, Certified Public Accountant, Certified Management Accountant, Association of Chartered Certified Accountants, or equivalent professional qualification.
- Experience with SAP, NetSuite, and Salesforce.
- Experience driving process transformation, automation, or technology-enabled improvements.
- Practical application of artificial intelligence in finance or accounts receivable operations.
- Exceptional communication, negotiation, and stakeholder management skills, including engagement with customers and senior cross-functional stakeholders.
About the company
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- August 2026 funding closed at $190 billion after a $7 billion run-rate milestone.
- Singapore investment tops $350 million, signaling accelerating Asia demand and customer expansion.
- Acquisitions of Electric, Panther, Quotient AI, and Row Zero accelerate product breadth.
What critics are saying
- Book authors' copyright class action survived dismissal in April 2026.
- Databricks' $190 billion valuation leaves hiring and retention exposed if growth slows.
- Snowflake and Oracle attack the same enterprise AI stack, compressing Databricks' pricing power.
What makes Databricks unique
- Databricks unified lakehouse now spans data, apps, agents, and governed AI.
- Unity Gateway, Lakebase, and Genie create an enterprise AI stack competitors lack.
- Row Zero adds spreadsheet workflows inside governed data, not exported copies.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↓ -1%Databricks has acquired Seattle startup Row Zero, founded in 2021 by former Amazon Web Services engineers Breck Fresen and Nick End. Row Zero built enterprise spreadsheet software designed to process millions of rows at cloud scale without performance issues. The startup raised a $10 million Series A round last year. Row Zero's standalone product will remain available whilst the team integrates its engine across Databricks' platform, which serves over 20,000 organisations, including 70% of the Fortune 500. Fresen and End previously founded Shoefitr, which Amazon acquired in 2015. San Francisco-based Databricks recently crossed a $7 billion annualized revenue run-rate and raised a $5 billion funding round in August, reaching a $190 billion valuation.
Helix has partnered with Databricks to launch Helix Research Workspaces, a Trusted Research Environment for population-scale clinicogenomic research. The platform provides approved partners secure access to analysis tools and compute capabilities for more than 550,000 linked clinicogenomic records. Built on the Databricks Data + AI platform, Research Workspaces gives researchers access to GenoSphere clinicogenomic records, which combine genomic data with an average of over 13 years of electronic health records. The environment features population-scale genomic analysis tools, AI-assisted coding, collaborative workspaces, and integrated oversight capabilities. Helix found that researchers using Research Workspaces had lower compute costs compared to similar work on different platforms. The launch follows Helix's earlier release of Cohort Builder, which enables researchers to build targeted clinical and genomic cohorts.
Databricks is ramping up investment in Asia as the region becomes its fastest-growing market, with business more than doubling in the second quarter. The San Francisco-based analytics and AI software company, valued at $190 billion after an August funding round, plans to invest over $350 million in Singapore over three years and double its headcount there to more than 500 employees. The firm is investing over $1 billion across Asia-Pacific over the next three years, expanding from its current 1,500 regional employees. Databricks generated a $7 billion revenue run rate in August, up from $5.4 billion in February. The company recently launched Unity Gateway and Genie One, tools helping customers manage AI costs and automate tasks.
A new PitchBook report argues that Databricks' $190 billion valuation is too steep, estimating the company's actual operating value at around $68.7 billion — a 64% discount. Senior analyst Harrison Rolfes projected Databricks' revenue and cash flow over 10 years, forecasting the company will generate $9.3 billion annually by 2035. Even under the most optimistic scenario, assuming 80% gross margins and continued growth, the analysis values Databricks at only $182.1 billion. In August, Databricks raised $5 billion at the $190 billion valuation, led by Coatue. The company's annualised run rate increased 29.6% to $7 billion over six months. Databricks trades at 27 times its run rate, compared to competitor Snowflake's 20 times multiple. Whilst Databricks grows faster, Snowflake's audited figures provide more transparency than Databricks' self-reported numbers.
ASX-listed AI Private Opportunities Trust has acquired a position in Databricks, allocating approximately 8% of its portfolio to the US data and AI company. San Francisco-based Databricks raised $5 billion in August 2024 at a $190 billion valuation. The platform serves over 70% of Fortune 500 companies and more than 20,000 organisations worldwide. Databricks crossed a $7 billion revenue run rate in its most recent quarter, growing over 80% year-on-year whilst maintaining positive free cash flow. This investment follows AIX's deployment of over one-third of its portfolio across positions including ByteDance, Helsing, and Handshake. The trust aims to provide Australian investors access to private AI market leaders typically limited to institutional investors. GCM Grosvenor manages the trust's investments and is in advanced discussions to close several additional positions.