Product Manager

Softthink Solutions; Santa Monica (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Softthink Solutions is seeking a Product Manager to own the DNA P product vision and roadmap across SAFER, PULSE, and VAPER. You will translate DOE/NNSA requirements into platform features, dashboards, workflows, AI tools, and data interfaces, ensuring usability and performance.

You will lead roadmaps for SAFER, PULSE, and VAPER, design 600+ user interfaces, coordinate data connections, and drive secure LLM integration, with daily data refresh and semantic search capabilities.

Qualifications

• Must have security clearance.
• 5–10+ years in product management for cloud platforms and analytics.
• Experience delivering dashboards and data-driven tools at scale.
• Experience with Spark, BI tools, and large-scale data ingestion.

Responsibilities

• Define and manage the product roadmap for SAFER, PULSE, VAPER, and future use case development.
• Lead design and delivery of 600+ user interfaces, including dashboards, forms, analytics tools, object views, and search engines.
• Coordinate with SMEs to recreate all priority data connections, integrations, and visualizations.
• Oversee development of AI features, including RAG tools, OCR, voice to text, image recognition, and secure LLM integration.
• Ensure platform supports daily data refresh, structured/unstructured ingestion, metadata search, and natural language extraction.
• Manage role based permissions, row/column level access, guest access infrastructure, and OneID integration.
• Work with developers to maintain UI/UX consistency under the Configuration Management and Change Control Plan.
• Support citizen developers and ensure availability of developer licenses (up to 200).
• Lead creation of user guides, training materials, data crosswalks, AI prompt explanations, and platform demonstrations.
• Track and prioritize user issues, feature requests, and platform enhancements.

Skills

Product management

Cloud platforms

Data analytics

Dashboards

AI features

RAG tools

OCR

LLM integration

UI/UX

Security clearance

Education

Bachelor's degree in related field

Tools

Spark

BI tools

Large-scale data ingestion

Job description

Job Title: Product Manager
Location: Onsite, Washington DC
Work authorization: US Citizen

Role Summary

Owns the DNA P product vision, roadmap, and functional delivery across SAFER, PULSE, and VAPER. Translates DOE/NNSA requirements into platform features, dashboards, workflows, AI tools, and data interfaces. Ensures usability, performance, and alignment with mission needs.

Roles & Responsibilities

• Define and manage the product roadmap for SAFER, PULSE, VAPER, and future use case development.
• Lead design and delivery of 600+ user interfaces, including dashboards, forms, analytics tools, object views, and search engines.
• Coordinate with SMEs to recreate all priority data connections, integrations, and visualizations.
• Oversee development of AI features, including RAG tools, OCR, voice to text, image recognition, and secure LLM integration.
• Ensure platform supports daily data refresh, structured/unstructured ingestion, metadata search, and natural language extraction.
• Manage role based permissions, row/column level access, guest access infrastructure, and OneID integration.
• Work with developers to maintain UI/UX consistency under the Configuration Management and Change Control Plan.
• Support citizen developers and ensure availability of developer licenses (up to 200).
• Lead creation of user guides, training materials, data crosswalks, AI prompt explanations, and platform demonstrations.
• Track and prioritize user issues, feature requests, and platform enhancements.

Educational Qualifications

• Bachelor's degree in Product Management, Computer Science, Data Analytics, Human Centered Design, or related field.

Professional Experience

• Must have security clearance
• 5-10+ years in product management for cloud platforms, data analytics systems, or enterprise applications.
• Experience delivering dashboards, workflows, and data driven tools at scale.
• Experience with Spark, BI tools, and large scale data ingestion preferred.