As a Staff Technical Product Manager, you will lead AI/ML platform development, transform data into insights, and drive business outcomes.

Lead the design and development of scalable data pipelines for geospatial and enterprise data, optimizing for machine learning applications and collaborating across teams.

Design and develop high quality web applications using AiDASH platform, taking ownership of product components and driving the product roadmap.

Develop high-performance iOS applications, utilizing design patterns, code reviews, and unit testing. Collaborate effectively for technical success.

Lead and mentor engineering teams, define technical roadmaps, manage software development lifecycle, drive best practices and collaborate with stakeholders to deliver features.

The role involves designing and optimizing DevOps solutions, managing cloud infrastructure, CI/CD pipelines, containerization, monitoring, and ensuring security and compliance.

Lead the design and development of data pipelines, process geospatial and enterprise data, and support ML functions while mentoring team members.

The Sales Manager will lead efforts to secure new clients and enhance relationships with existing customers in the utility sector, achieving an annual quota of $1M to $1.5M.

Lead the design of technology solutions and digital products, collaborate with teams, facilitate workshops, and manage project risks and scope.

The Staff Data Scientist will design and optimize AI models utilizing diverse data modalities. Responsibilities include collaboration with engineers, model deployment, and keeping up-to-date with advancements in AI and Computer Vision.

As a Staff/Senior Full Stack Developer at AiDASH, you will design and develop web applications, optimize performance, and ensure code quality while collaborating with cross-functional teams.

Design and develop scalable backend systems, implement resilient distributed systems, collaborate with stakeholders, and improve engineering productivity through effective coding and system performance optimization.

Design and develop web applications, implement new products and features, translate requirements, write efficient code, and manage product components.

Manage projects from initiation to completion, ensuring they are delivered on time and within budget. Collaborate with teams on analytics solutions and SaaS implementations, while mentoring junior team members.