Engineering Manager

Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, LLaMa, and Google Gemini, ensuring finance teams are served with the best-in-class generative AI capabilities. Auditoria.AI s agentic AI, called SmartBots , integrates with systems of record and accounting inboxes to optimize vendor management, streamline collections, add controls to procurement spend, accelerate data extraction, and automatically handle finance inbox inquiries.

Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral, Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Denny s, Blackbaud, Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights for finance teams.

Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures.

• Q1 2025 Winner Global Excellence Awards Best AI-Driven Finance Automation Platform USA


• Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year Award which recognizes AI solutions providers who have had an exceptional year.


• 2024 Corporate Vision Magazine Corporate Excellence Awards Most Innovative Task Automation Software Provider


• Q2 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row.


• Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI.


• In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024


• Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist


• 2023 SSON Impact Awards Technology of the Year Finalist


• 2023 Best SaaS for Improved Productivity Finalist


• 2022 Gartner Cool Vendor in Finance


• 2022 AI Breakthrough Awards Best Robotic Process Automaton


• Q1 2021 The Channel Co. CRN Emerging Vendors Automation


• 2021 SSON Impact AwardsWinner Technology of the Year


• 2021 Constellation s The Pitch Winner

Join our mission-driven team at Auditoria.AI to transform financial back-office operations using advanced AI and ML. We are seeking an experienced Engineering Manager to lead our talented team of engineers building state-of-the-art, generative AI-powered SaaS solutions for enterprise finance. You ll manage a team of full-stack engineers working at the intersection of cutting-edge AI technology and practical enterprise solutions, driving both technical excellence and business impact in the FinTech space.

• Technical Leadership:

  Lead, mentor, and grow a high-performing team of 6-10 full-stack engineers. Provide technical guidance on architecture, design, and development of cloud-native SaaS applications integrating advanced AI/ML features.



• Product Delivery:

  Own the end-to-end delivery and technical execution of our core product areas, ensuring robust, secure, and scalable systems that exceed customer expectations.



• Collaboration:

  Partner closely with Product, ML/AI, and Business stakeholders to understand requirements, prioritize work, and deliver solutions aligned with the company roadmap.



• Innovation & Best Practices:

  Champion engineering best practices, code quality, CI/CD, DevOps, and the use of modern development methodologies (Agile, TDD, code reviews, etc.), including adoption of new AI tools and frameworks.



• Operational Excellence:

  Ensure reliable operations, monitoring, and maintenance of cloud services (AWS), with an emphasis on security, multi-tenancy, and high availability.



• Team Development:

  Recruit talented engineers and foster a culture of learning, creativity, and ownership. Provide mentorship, feedback, and growth opportunities to team members.



• Stakeholder Communication:

  Clearly communicate project status, technical direction, and risks to leadership and cross-functional partners. Should exhibit a dynamic, energetic approach and consistently demonstrate strong responsiveness.

• 2+ years of experience managing engineering teams delivering SaaS products, ideally in B2B/enterprise software.


• 10+ years of hands-on software development work, including leading complex projects.


• Proven experience with modern full-stack (Node.js, React.js/TypeScript, Python) and AI/ML-enabled solutions (LLMs, generative AI, prompt engineering).


• Expertise integrating with AWS services (or any other commercial Cloud services)


• Strong background in system design, data modeling (RDBMS/NoSQL), and scalable microservices architectures.


• Demonstrated ability to attract, mentor, and lead high-performing and geographically distributed engineering teams.


• Strong project management, agile processes, and product delivery track record.


• Excellent communication and collaboration skills across technical and business audiences.


• Bachelor s or Master s degree in Computer Science, Engineering, or a related field from a reputed institute).

• Experience in FinTech or Financial domain.


• Background with Kubernetes, containerization, and modern DevOps practices


• Track record of building and scaling engineering organizations at startup/growth-stage companies


• Familiarity with enterprise integrations (SSO, email, etc.) and multi-tenant SaaS environments.

• Competitive startup compensation package (salary + early-stage equity)


• Comprehensive health and wellness benefits


• PTO and flexible work arrangements


• Opportunity to work at the forefront of AI and financial technology


• Innovation-driven, collaborative engineering culture