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Full-Time

Staff Product Manager

Wherobotsai and DB

Posted on 6/21/2024

Wherobots

Wherobots

11-50 employees

Geospatial data analytics and AI platform

Data & Analytics

Compensation Overview

$175k - $250kAnnually

+ Equity

Senior, Expert

Seattle, WA, USA

Category
Product Management
Product Research
Product Strategy
Product
Required Skills
Microsoft Azure
Python
UI/UX Design
Communications
SQL
AWS
Data Analysis
Requirements
  • Experience working with AI, ML, and/or distributed analytics frameworks such as Apache Spark and Apache Flink.
  • 5+ years managing technical B2B products in the cloud at a significant scale.
  • Evidence of strong verbal and written English communication.
  • Proficiency with Python and SQL.
  • Experience using and describing technical products to public audiences in simple terms.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with modern data architectures like data lakes, data lakehouses, and data warehouses.
Responsibilities
  • Own the developer, UI, and API experiences for WherobotsAI and WherobotsDB.
  • Investigate, propose, define, and execute new product and feature investments.
  • Manage the roadmap and customer interactions.
  • Be the face of WherobotsAI and WherobotsDB externally, through publicly visible channels (presentations, blogs, meetings, conferences).
  • Identify when, why, and how to appropriately leverage modern technologies such as machine learning, AI, or LLMs to grow the business and advance user journeys.
  • Use data, KPIs, and mechanisms to drive continuous improvement at scale.
  • Maintain a high bar for product simplicity.
  • Stay up-to-date with industry trends and advancements in ML and AI technologies.
  • Be a strong engineering partner and the voice of the customer.
  • Influence or own commercialization decisions, such as pricing and packaging.

Wherobots offers a geospatial data analytics and AI platform, featuring an end-to-end geospatial data pipeline development tool and cloud-integrated geospatial pipeline. The platform utilizes technologies such as Spatial Python, Spatial SQL, and integrates with popular data tools like Spark, Flink, and PostgreSQL.

Company Stage

Seed

Total Funding

$5.5M

Headquarters

San Francisco, California

Founded

2022

Growth & Insights
Headcount

6 month growth

38%

1 year growth

157%

2 year growth

350%