Vice President of Product Management

The VP Product role offers the successful candidate the opportunity to pioneer the application of generative AI to disrupt the market for data application design, development, testing and deployment. Purgo AI taps the unique strengths of generative AI to offer a compelling alternative to traditional methods for application development, maintenance and migration that are people driven, time consuming and error prone. 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 application development and DevOps processes.

The person in this role will partner closely with the co-founder & CTO to build the Purgo AI product roadmap and deliver product releases. This position will be based in the SF Bay Area.

Responsibilities

• Drive Purgo AI's product vision, direction, and business plans, including product plans/roadmaps, product evolution and product lifecycle.
• Develop functional specifications for product features to include user interface design, product validation testing, and usability testing, while ensuring that the product strategy is adhered to throughout the product life cycle.
• Develop new use cases for the Purgo AI platform, identifying and assessing business opportunities and determining strategic fit conditioned by technical feasibility.
• Work closely with engineering to drive development prioritization at the fast pace of an early-stage startup.
• Derive measures to quantify the product’s accuracy to deliver customer delight.
• Identify, develop joint solutions and projects with strategic partners like cloud data platforms (e.g. Snowflake, Databricks, Google, Azure, AWS etc.) and service providers that provide data application development services.
• Gather, validate, and evaluate product and market requirements through customer engagement, market research, and competitive research.
• Develop and drive product pricing across multiple sales channels.
• Evangelize Purgo AI in industry-wide forums and with partners, customers and analysts.

About you

• You have an engineering background with deep understanding of databases, data applications, BI applications, and machine learning & modelling.
• You have deep experience with cloud data platforms (e.g. Snowflake, Databricks, AWS Redshift, Google BigQuery, Microsoft Fabric etc.)
• You have a deep understanding of modern DevOps (e.g. Atlassian) and agile tooling applications.
• You have good understanding of Generative AI & machine learning.
• Exposure to test methodologies like behavior-driven design is desirable.
• You have experience with the organization and processes in DevOps, rapid release cycles and agile methodologies.
• You are smart, get things done, have great energy and thrive in a fast paced early-stage startup environment
• You have a track record of bringing disruptive technologies to market

About the Company

Purgo AI is an application design studio powered by generative AI, which interprets high-level business problem statements and generates design, source code and deployment of data applications over cloud data warehouses. The product’s fine-tuned LLMs specialize in solving business problems with business intelligence (ETL/ELT), cloud migration and on-demand machine-learning & inferencing for forecasting, anomaly detection & pattern recognition. Purgo AI integrates out-of-box with all leading cloud data warehouses including Databricks, Snowflake, Microsoft Fabric, Google BigQuery and AWS RedShift.

• Business Intelligence (ETL/ELT): Business analysts feed new ETL/ELT user requirements through Purgo AI’s Jira app, which trigger the generation of behavior-driven design (BDD) requirements for solving the Jira tickets and test harnesses for providing QA. Purgo AI generates source code from integrated code-generation LLMs by using the BDD specifications without needing any human prompting. The generated code is subject to pre-generated quality assurance tests and test fails re-trigger generation of the source code. The final source code is ready for end deployment over the cloud data warehouse after any inspection/approval by the business analyst team. The entire process has end-to-end traceability through Purgo AI generated log entries across Jira and GitHub systems.

• Cloud Migration: Transformation teams interpret legacy data applications through Purgo AI’s GitHub plug-in, which triggers the generation of a cloud migration plan for stored procedures, data schema and data records for a specific target cloud data warehouse. The migration plan includes behavior-driven designs for each of the components, which are used to generate source code from integrated code-generation LLMs without needing any human prompting. Purgo AI leverages the generated migration plan for executing a methodical migration all the way to data migration. Purgo AI tests the migration with pre-generated tests that validate data, table relationships, procedures and data schema. The product is addressing a trillion-dollar legacy application market with this end-to-end solution.

• On-demand Machine-learning and Inferencing: Purgo AI interprets predictive business problem statements and generates the design for training an on-demand machine-learning (ML) model along with necessary training/test datasets. Purgo AI integrates with ML scripting frameworks like MLFlow and TensorFlow to execute training, testing and deploying new ML models custom-designed from the problem statement in the form of notebooks deployed over the cloud data warehouse. Purgo AI infers from the deployed model(s) by using the parameters described in the problem statement to generate a predicted solution for the business user. The product is capable of delivering this on-demand machine-learning and inferencing for business problems across forecasting, anomaly detection and pattern recognition use-cases.

The product integrates seamlessly with Jira, Github (to interpret existing/legacy source code), code LLMs (from Github, AWS, Mistral and Meta), and test automation platforms (like Selenium, Pytest etc.). The company’s co-founder and CTO, Sang Kim, has been an engineering leader across VMWare and Blackberry. The company is based in Palo Alto, CA and co-created by The Hive, a venture studio focused on data and AI in the enterprise.