Technical Product Manager, Unstructured.io
Data prepping for Large Language Models
Be an early applicant
Data prepping for Large Language Models
21-100 employees
Be an early applicant
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- An ideal candidate will have experience with ETL or LLM products while also having a highly technical background in the software industry
- Bachelor's degree in a relevant field; MBA or MS in a technical field is a plus
- 5-8 years of experience as a product manager for a SaaS web application, with a preference for experience with ETL or LLM tools; previous experience as a software engineer or technical role (e.g. machine learning, data science, software engineering or software management) is a plus
- Deep experience with software development at scale and prior experience with developer-facing products is a plus
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Demonstrated ability to work in a cross-functional and collaborative environment
- Thrives in a fast-paced, constantly changing environment. We are looking for builders who are passionate about being at the cutting edge of artificial intelligence in a collaborative, fun-loving environment
What the job involves
- We are looking for a Senior Product Manager for Unstructured Platform, an ETL tool for Unstructured data built around our core file transformation capabilities
- You will be embedded with a software team and responsible for the end-to-end product lifecycle, from conceptualization to delivery and ongoing optimization
- This role involves understanding market demands, collaborating with cross-functional teams, and ensuring the product aligns with the strategic goals of the company
- Own, define, and articulate a compelling product vision, ensuring alignment with the company's overall mission and goals to deliver data to generative AI applications
- Develop a deep understanding of market trends, customer needs, and competitive landscape to shape the product strategy for the frontier of generative AI
- Build actionable product requirements, technical specifications with an eye on customer needs and strategic vision to grow Unstructured’s ETL user base
- Collaborate with the engineering teams to prioritize and drive the development of Unstructured’s product suite
- Work closely with engineering teams to create customer-forward experiences across no-code UI and programmatic access patterns
- Develop a product with engineering excellence in mind to meet the highest standards of performance, security, and scalability
- Develop key success factors for your releases and develop metrics that show customer experience and engineering quality
- Conduct market research to identify opportunities and threats, staying informed about industry trends and emerging technologies
- Develop a clear understanding of customer personas and use cases, tailoring the product to meet their specific needs
- Work closely with sales, marketing, and customer support teams to gather feedback, address customer concerns, and support go-to-market strategies. Communicate tradeoffs between cost and return on different features to the business
- Collaborate with stakeholders to ensure seamless integration with external technical stacks, integration points, and on-premise deployments
- Empathetic to a wide variety of strengths across different technical and non-technical departments
- Develop and execute go-to-market plans for product launches, including marketing collateral, training materials, and customer communication
- Provide training and support to internal teams, ensuring they are well-equipped to promote and support the product
- Implement metrics and key performance indicators (KPIs) to track product performance and user satisfaction
- Continuously analyze data to identify areas for improvement and optimization across product, engineering, and sales funnels
Our take
Unstructured.io is tackling a prevalent challenge in AI adoption - the difficulty of integrating complex, enterprise-sized data with Large Language Models (LLMs). The company's platform provides a solution by extracting and staging all data, even that which is in difficult-to-use formats, and making it compatible with LLMs.
Thus, the startup streamlines the time-consuming data preparation process, providing tools for otherwise complex tasks like removing unwanted elements, text concatenation, and Optical Character Recognition (OCR). It also tailors processing pipelines for specific document types, addressing a critical bottleneck in AI development workflows.
In enabling the seamless integration of LLMs with enterprise data, Unstructured's platform has the potential to unlock substantial productivity gains. As of March 2024, its open-source library has been download more than 6M times and by 2025, the total user base has grown significantly, with over 65,000 organizations now leveraging Unstructured tools. The company continues to develop its solution to the data-preparation bottleneck, a crucial component in meeting the evolving demands of enterprise-scale LLM deployments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2024
$40m
SERIES B
Jul 2023
$20m
SERIES A
Total funding: $65m
Company HQ
SoMa, San Francisco, CA
Leadership
Brian S. Raymond
(Founder & CEO)Previously worked in Investment Banking at Harris Williams & Co. Prior to this they worked at The White House in the National Security Council and as an Intelligence Officer at the Central Intelligence Agency.
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