AiDASH, Inc.
enterprise AI
StaffProductManager-AppliedAIWorkflow
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Product Manager - Applied AI Workflow at AiDASH, Inc.. Skills: Applied AI Workflow, Product Management, cross-functional ownership, operating KPIs. Own the underlying technical work that informs it. Decide which customers get which workflow flavor”
What You'll Achieve.
A significant IVMS workflow transformation is shipped, stable in production, and delivering its promised cost and automation impact; A clear, sequenced plan exists for moving IVMS toward an autonomous-by-default workflow, with human intervention narrowed to a well-defined slice; Manual-touch volume on IVMS is materially down vs. the cost-per-insight curve bends; Every critical workflow step has a metric, a target, and a dashboard. The org can answer 'how is the workflow performing this week?' without a Slack thread
Industry & Context.
When handed an ambiguous problem, you don't just solve it as posed — you reframe it, sharpen the metric, and tell us when we're optimizing for the wrong thing; You can look at a 20-step workflow, ask why step 7 exists, and not lose nuance in the process
What They're Looking For.
Must Have
9-13 years of total experience, with at least 4-6 years as a Product Manager, At least one tour owning an internal, operational, or platform-style product — not exclusively customer-facing feature PM, A track record of cross-functional ownership at scale — not just shipping, but changing how the org made decisions in a domain, Demonstrated ownership of operating KPIs (cost, cycle time, throughput, automation %, quality) under real accountability
Nice to Have
Experience working on workflows or products that combine model output with human review, and comfort making decisions that depend on model performance, Background in geospatial / remote sensing / satellite imagery, utilities, climate-tech, or labeling pipelines, Experience scaling a function from zero at a Series B–D company in a resource-constrained environment
What You'll Do.
Own the underlying technical work that informs it
Decide which customers get which workflow flavor
Translate workflow design into clear system requirements
Own the operating metrics — cost per insight
manual touches per job
How You'll Work.
Team & Collaboration
CS and leadership are key stakeholders you'll bring along; DS, Platform, CS, and GIS Ops consistently align to your decisions without escalation; DS, Platform, and engineering find you a partner; CS, GIS Ops, the applied AI pod, and Platform don't report to you. You move them through clarity, credibility, and shared metrics
Communication Scope
Write well, think in writing
Full Job Description
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 Reporting to the VP of Product Management they own the underlying technical work that informs it Cohort logic and CS alignment: Decide which customers get which workflow flavor. CS and leadership are key stakeholders you'll bring along Requirements to Platform PM: Translate workflow design into clear system requirements (e.g., "at step X, capture labels with confidence scores and reviewer ID"). Platform PM owns the system spec; you own that the workflow as designed produces the data and outcomes you need KPIs: Own the operating metrics — cost per insight, cycle time, % auto-resolved, manual touches per job, quality against SLA. Track and move them What Success looks like in 12 months, A s
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