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AppZen

AI-powered SaaS for financial process automation

Senior Data Engineer

Full-Time
No salary listed
Senior
Bachelor's, Master's
Pune, Maharashtra, India
In Person
Data & AnalyticsData Engineering

About the job

Requirements
  • Bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • Strong proficiency in Python and SQL for data manipulation, analysis, and scripting.
  • Extensive experience with cloud platforms, particularly AWS, and working knowledge of services like EMR, Redshift, and S3.
  • Solid understanding of data warehousing concepts and experience with relational databases like PostgreSQL.
  • Familiarity with data visualization and reporting tools such as Superset, Domo, or Tableau.
  • Experience with building and maintaining data pipelines using tools like Airflow.
  • Knowledge of Python web frameworks like Flask or Django for building data-driven applications.
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Proven ability to work in a fast-paced environment, prioritize tasks, and meet deadlines.
Responsibilities
  • Design, develop, and implement scalable and efficient data pipelines in the cloud using Python, SQL, and relevant technologies.
  • Build and maintain data infrastructure on platforms such as AWS, leveraging services like EMR, Redshift, and others.
  • Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and provide the necessary data solutions.
  • Develop and optimize ETL (Extract, Transform, Load) processes to ensure the accuracy, completeness, and timeliness of data.
  • Create and maintain data models, schemas, and database structures using PostgreSQL and other relevant database technologies.
  • Experience reporting tools such as Superset, (good to have : Domo, or Tableau, Quicksight) to develop visually appealing and insightful data visualizations and dashboards.
  • Monitor and optimize the performance and scalability of data systems, ensuring high availability and reliability.
  • Implement and maintain data security and privacy measures to protect sensitive information.
  • Collaborate with the engineering team to integrate data solutions into existing applications or build new applications as required.
  • Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering

About the company

AppZen uses artificial intelligence to automate financial workflows for businesses through a SaaS platform. It provides three core capabilities: Accounts Payable (AP) automation that entries invoices and maps them to the correct general ledger codes and purchase orders; Travel and Expense (T&E) management that analyzes receipts to flag non-compliant or suspicious purchases and speeds up reimbursements; and card monitoring that watches card activity in real time, categorizes expenses, and detects fraudulent behavior. The product integrates with existing systems with minimal IT effort and claims to show a return on investment within days of implementation. Compared with typical finance tools, AppZen focuses on end-to-end AI-driven automation across AP, T&E, and card expenses to cut manual work and improve compliance. Its goal is to help businesses run their financial processes more efficiently, stay compliant, and reduce fraud through rapid deployment and ongoing AI-driven insights.

Company Size

201-500

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

$281M

Headquarters

San Jose, California

Founded

2012

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Simplify's Take

What believers are saying

  • AppZen raised $180 million in 2025, funding global sales and product expansion.
  • Autonomous Cards launches October 26, 2026, opening corporate spend and card compliance revenue.
  • AP Inbox Service Center targets vendor-email bottlenecks, where finance teams lose hours weekly.

What critics are saying

  • ZenLM Plus benchmarks are AppZen-run; December 2026 GA still faces customer validation.
  • SAP, Workday, and Coupa can absorb similar audit features, compressing AppZen’s standalone value.
  • If OpenAI or Anthropic ships finance-native controls, AppZen becomes a replaceable workflow layer.

What makes AppZen unique

  • AppZen pairs finance-specific models with workflow orchestration, not generic chatbot wrappers.
  • On October 1, 2026, AppZen passed 1,000 enterprise customers, including Fortune 500 finance teams.
  • SAP clean-core certification and Workday integration anchor AppZen inside core finance systems.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Retirement Plan

Paid Parental Leave

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
PR Newswire
Oct 1st, 2026
AppZen's ZenLM Plus outperforms frontier AI models on finance audit tasks with 97.4 F1 score

AppZen has launched ZenLM Plus, a family of finance-specialised large language models designed for autonomous finance operations. The models outperformed seven frontier models, including Opus 5, Sonnet 5, and GPT-5.6 variants, in expense audit tasks. ZenLM Plus achieved an F1 score of 97.4 across targeted policy-category cases, 8.7 points above the strongest frontier model tested. It led five of six individual audit-control comparisons whilst operating at lower cost than competitors. The models are integrated into AppZen's Mastermind Platform, which intelligently routes finance tasks to the most suitable model or method. ZenLM Plus is currently available for select customers within AppZen's Expense Audit and will be generally available in December 2026. AppZen's clients include Amazon, Boeing, Salesforce, and JPMorgan Chase.

PR Newswire
Sep 30th, 2026
AppZen launches AI-powered Autonomous Cards to automate corporate spend compliance

AppZen has launched Autonomous Cards, an AI agent-powered system for enterprise card programmes. The platform connects to existing corporate, virtual, fleet, and lodge cards, using AI agents to monitor transactions, apply company policy, resolve compliance issues, and code expenses automatically. The system works alongside companies' current banks and card issuers. AI agents analyse transaction data, gather missing documentation, identify policy violations such as split purchases or off-contract spending, and handle routine exceptions without human intervention. Complex cases requiring judgement are escalated to staff with full context already assembled. Autonomous Cards also provides spend intelligence, distinguishing between merchants and actual purchases whilst identifying savings opportunities and measuring programme performance. The platform will be generally available from 26 October 2026. AppZen serves Fortune 500 companies including Amazon, Boeing, and Salesforce.

Boland Hill Media, LLC
Sep 30th, 2026
AppZen launches Autonomous Cards for ai-based payment controls.

AppZen launches Autonomous Cards for ai-based payment controls. How common will agentic payments become, and how fast? Predictions vary, of course, but tech companies are releasing new advances in the autonomous technology almost daily. In the latest example, AppZen early Wednesday unveiled Autonomous Cards, intended for corporate card programs. According to the San Jose, Calif.-based company, the new technology, which is set to become generally available Oct. 26, links to a company's existing payment cards - used for purchasing, fleet operations, or other applications - then applies AI agents to monitor transactions. The agents can automate functions such as detecting suspicious activity, checking transactions against company policy, and reconciling statements. The technology can perform functions related to the transactions while filling in context, AppZen says. This includes addition of details and purpose around the transaction for later reference. The key, AppZen says, is to apply technology that can juggle these multiple factors while the transaction is in progress rather than after it posts. "Our agents continuously monitor spend, understand what was purchased, intervene when necessary, help employees and other transaction owners complete what is needed, and carry each transaction through policy, accounting, and resolution," says Anant Kale, AppZen's chief executive and cofounder, in a statement. "This is not the old card workflow with AI added to it." Cards the service aims at include purchasing cards, ghost cards, virtual cards, and fleet cards, AppZen says, with consideration of transaction type and business context. One key element of the technology, AppZen says, is controlling risk as new cards are added to corporate programs. Human review, when necessary, includes a case report assembled by the program. "Only exceptions that require approval or judgment are routed to people," AppZen says. Overall, Autonomous Cards "is a new operating model designed to make finance teams autonomous while keeping people in control of the decisions that require judgment," says Kale, in a statement. On the consumer side of the autonomous trend, Mastercard said early Wednesday it is expanding Agent Pay to offer more context around transactions initiated by AI. The move will engender more trust in agentic commerce, the card network says. Mastercard has predicted 10% of online shoppers will be using the technology as a matter of routine within four years, with more than 300 million online shoppers around the world adopting it routinely by 2030. The card network's report, "A Short History of the Future of Shopping and Payments," was issued Sept. 8. Field work included surveys of 13,000 parent-and-teen pairs in 13 European countries.

PR Newswire
Jun 16th, 2026
AppZen's autonomous AP platform achieves SAP certification for clean core with RISE

AppZen, an AI-powered finance operations platform, has achieved SAP certification for clean core with RISE with SAP for SAP S/4HANA Cloud Private Edition. The certification enables enterprises to deploy AI agents across the entire invoice lifecycle whilst maintaining SAP-compliant financial operations. AppZen's Autonomous AP platform uses specialised AI agents to execute accounts payable tasks including invoice intake, document processing, matching, coding, supplier communications and posting. The system integrates seamlessly with SAP S/4HANA, maintaining it as the system of record. Customers have reported up to 90% reduction in manual AP processing effort and 74% faster invoice cycle times. One Qualcomm finance leader noted that agents increased touchless invoice processing from 14.5% to 61.7% whilst reducing manual work by 40%.

SiliconANGLE Media
Apr 21st, 2026
AppZen targets accounts payable bottleneck with new AI agent service center.

AppZen targets accounts payable bottleneck with new AI agent service center. Autonomous finance platform company AppZen Inc. today launched AP Inbox Service Center, a new accounts payable service that deploys eight prebuilt artificial intelligence agents to automate how finance teams handle vendor email. The new service adds agents to AppZen Inbox and converts the product into a structured service center where every inbound vendor message becomes a trackable, auditable request with an assigned status, owner and resolution path. AP Inbox Service Center has been designed to target one of the most persistent capacity constraints in enterprise finance. AppZen argues that while invoice processing has seen heavy automation investment over the past decade, the vendor-facing communication layer has remained largely manual. Payment status inquiries, bank change requests, duplicate invoice resolution, vendor statement reconciliation, W-9 submissions and remittance requests still require team members to read each email, research records, draft responses and route them to the right person. AppZen customer data indicates AP reviewers spend as much as one week a month on that work. The new release take the issues head-on, with eight agents handling a specific scenario end-to-end, from reading the message and looking up records in the enterprise resource planning system to evaluating the request against organizational policy and taking action. Every decision is auditable, showing what the agent evaluated, what it found and why it acted. Templates offered as part of the AP Inbox Service Center cover payment status responses, bank change verification, duplicate invoice detection, vendor statement reconciliation, W-9 compliance routing, purchase order policy enforcement, invoice hold explanations and remittance and proof-of-payment assistance. The bank change agent, for example, escalates every request to vendor management with a risk classification based on domain mismatches, urgency language, unknown senders and process bypass attempts. The agents can be configured and deployed without information technology involvement through the company's AI Agent Studio. Teams describe their processes in plain business language and the system converts those instructions into executable workflows. Templates can be tested with sample inputs before going live and AppZen says that most teams deploy their first working agent in under 30 minutes. Every agent supports a draft-for-review mode in which the finance team makes the final call before a response is sent. When an agent cannot make a confident decision, it defers to a team member. Safeguards include sender identity verification before sharing financial data and masking of sensitive data in outbound communications. "Our customers told us their AP inboxes were one of the biggest capacity constraints in their finance operations," said co-founder and Chief Executive Anant Kale. "We built AP Inbox Service Center so they can focus on the work that requires their expertise, while AI agents handle the volume with the consistency and auditability that enterprise finance demands." AppZen has raised about $290 million in funding, including a round of $180 million in September. Investors in the company include Riverwood Capital Management LP, Coatue Management, Lightspeed Venture Partners, Redpoint Ventures, Bloomberg Beta, 500 Global, Resolute Ventures, Mastercard Inc. and FundersClub Inc. Image: AppZen. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.