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About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, 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 software companies in Time Magazine's America's Top GreenTech Companies 2024. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
As Director, AI Data Operations, you will own the people and operational backbone of a 50+ person team that powers data operations for AiDASH's proprietary models — across model quality control for customer deliveries, training data generation for AI models, and multi-modal imagery sourcing. The team's work directly determines the quality of our models, the rate at which our models improve, and what we ship to customers.
Reporting directly to VP, Product & Process Excellence; you will lead this team through a major transformation — from manual operations to AI-augmented operations — while raising the bar on quality, ownership, and execution. You will thrive in this role if you have run annotation pipelines, training data workflows, or model quality control operations, ideally in an AI product company — and you are ready to bring that experience to a domain where the stakes are high and the work has real-world consequences.
How you'll make an impact:
What we're looking for:
Good to have
What you'll love:
What This Role Is Not
In Summary
This role is about people leadership, operational excellence, and leading the AI transformation of a function where precision, ownership, and quality are everything. If you love running great teams, setting a high bar, and are excited to use AI to reshape how operational work gets done, this is your role. One requirement: you've worked close to the model — in annotation pipelines, training data workflows, or quality operations — rather than in data analytics, BI, or IT services delivery.
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.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Job ID: 147324251
Skills:
Tensorflow, Deep Learning, Azure ML, Nlp, Machine Learning, Jax, Pytorch, LLMs, AWS SageMaker, Google Vertex AI
Skills:
Agile, B2B enterprise software, GenAI, Lean, LLMs, Supply Chain, Design Thinking, advanced automation, data-driven decision making, Agentic AI, procurement, AI ML technologies, intelligent agents, autonomous agents
Skills:
clinical operations , Healthcare domain knowledge, Contact Center Customer Experience, Solution-oriented thinking, Digital Technology Transformation, Stakeholder Management, Program leadership, Claims Transformation, Consulting, Business Process Transformation, Microsoft Powerpoint, Workforce Optimization, Revenue Cycle Operational Excellence
Skills:
statistical concepts , Machine Learning, Sql, Deep Learning, Nosql, Data Science, Gcp, Spark, Azure, Python, AWS, LLMs, R, RAG, Agentic Architectures, Prompt Engineering, Modeling Techniques
Skills:
vectorization , Apis, Microservices, Nlp, Docker, Python Programming, Rest Apis, Etl, LangChain, MLOps toolchains, GPT embeddings, vector search, agentic AI, LLMs, Azure OpenAI models, CI CD, Transformation, prompt engineering, LangGraph, data ingestion, RAG pipelines
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