Product Manager

About Us

Auditoria.AI is revolutionizing the Finance departments of Fortune 1000 companies with Generative AI-based Saas agents.

We are the only company in this space with over two years of production-grade experience with LLMs, and our state-of-the-art application is integrated with key financial applications and corporate email systems in companies worldwide.

Our investors include Workday, the 60+ Billion-dollar company recognized for its Responsible AI approach at the World Economic Forum in Davos, which has transformed the back office with cloud-based applications for Finance and HR, KPMG, the Global System Integrator with the highest Glassdoor reviews for professional services, and top Silicon Valley investors such as Venrock, Neotribe Ventures, B Capital and others.

We are looking for Product Management talent to join our India-based team. You will work in a diverse, dual-based team with US- and India-based team members, accomplished individuals with degrees from top institutions such as the Brigham Young University, University of California, Berkeley, the Wharton School of the University of Pennsylvania, IITs, NITs, etc.

You will work with colleagues from Amazon, Amazon Web Services, Goldman Sachs, BlackRock, Citigroup, KPMG, Oracle, PwC, PayPal, Snowflake, Okta, Cisco, ADP, and many others. This role will report to the US-based product Management leader for AP and AR products.

As a Product Manager, you will be part of the product management team building AI teammates for the office of the CFO. Auditoria’s customers are significant, global, Fortune 1000 companies.

You’ll collaborate with cross-functional teams, including engineering, design, marketing, and sales, to deliver customer-focused products that meet market needs and business objectives.

This role offers an exciting opportunity to work on products with significant growth potential while further developing skills and expertise for growing a product management career.

Key Responsibilities:

Product Expertise & Growth: Develop a deep understanding of your products via hands-on learning, demos (internal/external), defining metrics, tracking usage data, and evaluating AI teammate performance against defined business goals.

Requirements Gathering: Collaborate with stakeholders to understand, align on, and document business and functional requirements to determine the scope and priority of future products, product enhancements, and new features and translate them into detailed product specifications.

Roadmap Definition & Backlog Management: Collaborate with stakeholders to define, refine, and maintain the product roadmap, prioritizing roadmap items and backlog based on strategic goals, business value, and customer feedback, ensuring constant alignment with business objectives and stakeholder needs.

Product Development Collaboration: Partner with engineering to write and groom user stories, define targeted business outcomes and acceptance criteria, plan releases and execute against requirements, review engineering demos, provide demo feedback, and work with QA to build comprehensive test plans.

Product Launch Support: Coordinate with marketing for product collateral and assist field teams in understanding and adopting new product features and updates, released on a bi-weekly cycle.

Field Team Engagement: Collaborate with professional services and customer success teams to support deployments, drive customer success, and contribute to renewals and expansion efforts.

Market & Competitive Analysis: Conduct research on industry trends, customer needs, and competitors to identify opportunities for product improvements.

Business Case Development: Support building business cases for new features, including ROI, cost-benefit analysis, and revenue impact projections.

Performance Monitoring: Define key performance indicators (KPIs) and track product performance post-launch to ensure alignment with business objectives and goals.

Qualifications:

• 3+ years of experience in product management, product analysis, or professional services, preferably in a product-driven organization or tech startup.
• Exceptional written and verbal communication skills, including proficiency in presentations and business documentation (e.g., email, PowerPoint, Word), able to clearly articulate requirements and present findings to both technical and non-technical audiences.
• Effective async communication skills, proactively using tools such as Slack, Jira, and email to connect and align across stakeholders and teams, regardless of time zones.
• Solid understanding of generative AI and its application for real-world business scenarios.
• Comfortable performing in a fast-paced startup environment.
• Strong analytical skills, with experience handling large datasets and extracting and translating insights into actionable recommendations.
• Problem-solving mindset, with the ability to work independently and collaboratively within teams.
• Open mindset, able to learn, think creatively, and approach problems from multiple angles, working backward from desired outcomes to develop innovative solutions.
• Capable of empathizing with various end-user personas when defining requirements for product functionality, user experience (UX), and supported workflows.
• Proficient in data analysis tools such as Excel, SQL, Google Data Analytics, or other BI platforms, with a strong grasp of key product metrics.
• Familiarity with Agile methodologies and the product development lifecycle.
• Familiarity with tools like Jira, Confluence, Slack, Notion, Figma, and Google Workspace.
• Bachelor’s degree in business, computer science, data sciences, social sciences, or a related field.
• Familiarity with accounting and finance business processes is a plus.
• Experience working with ERP and finance systems (e.g., Workday, NetSuite, Coupa) is a plus.
• Experience working with CRMs, ticketing systems, CCaaS platforms is a plus.

This role is based in Hyderabad, India. Auditoria.AI offers competitive startup salaries, early-stage stock, unlimited vacation, medical/dental benefits, and a flexible work environment.