About the Role
The VP Product role offers the successful candidate the opportunity to pioneer the application of generative AI to disrupt the $105bn end-to-end digital assurance & software quality management market and pioneer QA-centric code generation. Purgo AI taps the unique strengths of generative AI to offer a compelling alternative to traditional test automation methods by capturing quality assurance right from the definition of software requirements. The successful leader will lead this generative AI driven disruption in a large addressable market and empower innovative customers & partners to embrace this new technology within their DevOps & software development processes. The initial focus on digital assurance for data applications provides the company the necessary growth impetus
Requirements
Drive Purgo AI’s product vision, direction, and business plans, including product plans/roadmaps, product evolution and product lifecycle.
Lead the design of the product’s disruptive quality assurance approach for both code generation and traditional development.
Derive measures to quantify the product’s accuracy, success, business ROI and device strategies to deliver customer delight. This includes developing business cases, identifying and assessing business opportunities and determining strategic fit conditioned by technical feasibility.
Identify, develop, and manage relationships with strategic partners like data platforms (e.g. Snowflake, Databricks, Google, Azure, AWS etc.) and testing service providers, including joint solutions and projects.
Gather, validate, and evaluate product and market requirements through market and customer research, competitive and product research.
Develop functional specifications for assigned product features to include effective product and user interface design, rapid prototyping, product validation testing, and usability testing, while ensuring that the product strategy is adhered to throughout the product life cycle.
Drive the pricing and cross functional requirements (sales, channels, services and marketing) in order to bring offer(s) to market.
Work very closely with engineering to drive disruptive innovation and development prioritization at the fast pace of an early-stage startup.
Represent Purgo AI in industry-wide forums.
Who we're looking for
You have deep domain, product management and hands-on technical knowledge in one or more of cloud dataplatforms (e.g. Snowflake, Databricks, AWS Redshift, Google BigQuery, Azure etc.), DevOps tools (e.g. Atlassian), cloud SaaS (e.g. Force.com) and modern testing tools/frameworks.
You have deep familiarity with application interfaces of cloud data platforms and observability tools (e.g. Datadog, Splunk etc.).
You have deep experience with the organization and processes in DevOps, rapid release cycles and agile methodologies.
You have an engineering background with familiarity of trends in cloud native, data science and agile tooling applications.
Exposure to LLM-driven code generation is very desirable.
Exposure to test methodologies like behavior-driven design and/or machine learning/AI is very desirable.
You are smart, get things done, have great energy and thrive in a fast paced early-stage startup environment.
You have passion for creating customer value by applying cutting edge innovations in data science & technology.
You have a track record of bringing disruptive technologies to market.
You can rally developer communities with excitement around new capabilities and business models driven by technology disruptions.
You have a deep understanding of machine learning and data processing technologies.
About the Company
Purgo AI enhances the delivery of cloud-native and data applications using generative AI for requirements engineering, functional testing, query testing, and data integrity.
-
Comprehensive Requirements Generation: Uses fine-tuned large language models (LLMs) to create detailed behavior-driven (BDD) requirements from sparse feature requests. It identifies gaps and generates questionnaires to fill them, rendering requirements in an AI-friendly format for code generation.
-
Proactive Functional Testing: Generates functional tests for application interfaces and API queries before code development, ensuring high-quality assurance. Tests are applied to the developed software, generating bug reports for identified issues.
-
Automated Post-Production Analysis: Connects log data back to requirements, automating triage, analysis, and response to escalation tickets after software deployment.
Purgo AI works with early customers and design partners on generative AI-driven requirements and test automation for cloud-native data apps, covering use cases like business intelligence, forecasting, and machine learning over data lakes such as Snowflake and Databricks. It integrates with Jira, Github, testing platforms (e.g., Selenium, Pytest), and data warehouse APIs. Customers use Purgo AI for capturing BDD requirements, functional testing, data integrity, and observability.
Leadership: Co-founder and CTO Sang Kim, an engineering leader with experience at VMware and BlackBerry.
Location: Based in Palo Alto, CA, co-created by The Hive, a venture studio specializing in data and AI for enterprises.
Please email jobs@purgo.ai
Purgo AI is an affirmative action employer and welcomes candidates who will contribute to the diversity of the company.