Staff Product Manager - Applied AI Worflow
AiDash is seeking a Staff Product Manager to own the production workflows that transform satellite imagery into customer-grade insights for the utility sector. This role involves designing operational frameworks, defining automation and human-in-the-loop policies, and managing critical KPIs such as cost per insight and cycle time. The candidate will partner closely with applied AI data science teams but will not own the technical model development or customer-facing features. The ideal candidate has significant experience in internal product management and is comfortable driving outcomes in a cross-functional environment.
50k new jobs listed every day. Install TAL to find more jobs like this.
Experience
9-13 years
Function
Product Management
Work mode
Onsite, India
Company
Tier 2
What you will work on
AiDash is seeking a Staff Product Manager to own the production workflows that transform satellite imagery into customer-grade insights for the utility sector. This role involves designing operational frameworks, defining automation and human-in-the-loop policies, and managing critical KPIs such as cost per insight and cycle time. The candidate will partner closely with applied AI data science teams but will not own the technical model development or customer-facing features. The ideal candidate has significant experience in internal product management and is comfortable driving outcomes in a cross-functional environment.
TAL's take
Strong Series C company with a highly specific, high-impact operational PM role that clearly defines scope and outcomes.
The JD is exceptionally clear about what the role is and is not, detailing the exact operational workflow responsibilities.
Salaries at AiDash
35.2 LPA average
Based on 10 Grapevine salary entries for AiDash.
Engineering
0 - 2 years
10 LPA average
Range: 10 - 10 LPA
Consulting
0 - 2 years
13 LPA average
Range: 13 - 13 LPA
Other roles
2 - 4 years
32 LPA average
Range: 26 - 38 LPA
Other roles
4 - 6 years
26 LPA average
Range: 26 - 26 LPA
Must haves
- 9-13 years of total experience
- 4-6 years as a Product Manager
- Experience owning an internal, operational, or platform-style product
- Track record of cross-functional ownership at scale
- Demonstrated ownership of operating KPIs
About the company
Series C growth company with strong industry recognition, but not yet reaching the status of a global Tier 1 tech giant.