Staff Technical Product Manager (AI/ML)

About AiDASH 

AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance – and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.AiDASH.com. 

We are a Series C climate tech startup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, among others)! We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers”. We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies2024”.

Join us in creating a greener, cleaner, and safer planet from space!

The Role 

The Platform Product Management team at AiDASHis responsible for building the foundation that powers our suite of climate resilience and sustainability solutions. Our platform processes and fuses multiple data sources - from satellite, aerial, and LiDAR imagery to weather data and customer asset information - to deliver actionable insights for utility, transportation, and construction industries. 

As an AI Technical Product Manager on the Platform team, you will drive the development of our AI/ML capabilities while delivering measurable business outcomes that directly impact our customers' ability to manage their infrastructure assets effectively. You'll work at the intersection of our data science, platform, and application teams to build scalable solutions that transform diverse datasets into valuable business insights 

How you’ll make an impact:

• Drive business outcomes by leading major parts of our platform roadmap, working closely with executive leadership, engineering, data science, and application teams to deliver capabilities that unlock new use cases for our customers 
• Own complex technical decisions around our data processing architecture, making informed tradeoffs between business needs and technical constraints while maintaining our platform's reliability and efficiency 
• Partner with our data science team to productize AI models, establish clear success metrics, and create scalable deployment processes that maintain accuracy while accelerating the end-to-end time from receiving data to delivering customer insights 
• Lead the technical discovery process with customers and internal stakeholders, developing deep empathy for their needs while anticipating future trends and requirements 
• Build and maintain strong relationships across teams, acting as a bridge between technical and business stakeholders to ensure alignment on platform direction and priorities 
• Define and track success metrics for platform capabilities, ensuring we deliver measurable value to both internal and external customers 
• Drive our platform's evolution from supporting individual products to enabling a unified multi-product experience 

What we’re looking for:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 
• 5+ years of technical product management experience working with AI/ML platforms or data-intensive applications 
• Strong understanding of machine learning concepts, data processing pipelines, and cloud infrastructure 
• Proven ability to make complex technical decisions and communicate them effectively to diverse stakeholders 
• Experience defining and tracking success metrics for platform products 
• Strong prioritization skills with demonstrated ability to make tough tradeoffs 
• Track record of delivering business impact through technical products 
• Excellence in stakeholder management and cross-team collaboration 
• Experience with agile development processes and tools (Jira, Confluence) 

Preferred Qualifications:

• Experience with diverse geospatial data types including satellite imagery, aerial imagery (from planes/drones), LiDAR, and weather data 
• Understanding of data fusion techniques and challenges when working with heterogeneous data sources 
• Experience building platform products that serve multiple user personas 
• Familiarity with MLOps practices and tools for model deployment and monitoring 
• Experience with data pipeline architectures that handle multiple data sources and formats 
• Knowledge of cloud platforms (AWS) and distributed computing frameworks 

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.