Product Management Lead

About Purgo AI

Purgo AI delivers LLM based agentic design, development and deployment of data applications over cloud data warehouses. Purgo AI dramatically improves productivity, reduce costs and shortens time to delivery for data engineering teams. 

Purgo AI is based in Palo Alto, CA and funded by The Hive and Capital One Growth Ventures. The company’s co-founder and CTO, Sang Kim, has been an engineering leader across VMWare and Blackberry. Early users of the product include leading enterprises in the life sciences, media and financial services verticals. Purgo AI’s in-built Vertical Solutions have saved users months of time, cost and efforts by getting to production within days. Prominent execs from several cloud data warehouse leaders are advisors to Purgo AI. The product integrates with leading cloud data warehouses including Databricks, Snowflake, Google BigQuery and others. Purgo AI helps automate the building ETL/ELT pipelines and BI applications on cloud data warehouses. The product offers data engineering teams an end-to-end requirements-to-production design, development, test & deployment of ETL/ELT pipelines.

·       Purgo AI Vertical Solutions come pre-built with comprehensive Process Definition Libraries written by subject matter experts in natural language as easy-to-edit Jira tickets.

·       Business analysts or product owners specify ETL/ELT user requirements as Jira tickets through Purgo AI’s Jira app either by easily editing in-built process definitions or creating new ones.

·       This triggers the generation of a design (Behavior-driven design (BDD)) specification. The design creates test harnesses with test scripts and test data for QA.

·       Purgo AI then generates source code from integrated code-generation LLMs by using the design specifications without needing any human prompting.

·       For enterprise context the product integrates seamlessly with Github and GitLab (to interpret existing/legacy source code and pipelines), and data warehouse catalogs (for schema).

·       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 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. Across the end-to-end development process, Purgo AI produces intermediate development artifacts enabling developers transparent, white-box review. 

In addition to ETL/ELT pipelines for Business Intelligence applications, in the future Purgo AI will provide a range of requirements-to-production workflows, viz. cloud migration and on-demand machine learning.

About the role

The Product Management Lead 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 plans, including product 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.
• Develop market positioning, competitive differentiation and business ROI of Purgo AI
• 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 LLM-driven code generation is desirable.
• 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, have great energy and thrive in a fast paced early-stage startup environment.
• You have a track record of bringing disruptive products to market.

Please contact tmravi@hivedata.com.

Purgo AI is an affirmative action employer and welcomes candidates who will contribute to the diversity of the company.

Apply now