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Full-Time

Staff Product Manager

Wherobotsai and DB

Posted on 6/21/2024

Wherobots

Wherobots

11-50 employees

Geospatial data processing and analytics platform

Data & Analytics
Enterprise Software

Compensation Overview

$175k - $250kAnnually

+ Equity

Senior, Expert

Seattle, WA, USA

Wherobots is hybrid-friendly, with an office location at the 9zero office space in San Francisco, and an office opening in the Seattle area soon. We are looking to hire for the greater San Francisco or Seattle areas.

Category
Product Management
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 provides a spatial intelligence cloud platform designed for managing and processing geospatial data at any scale. Their platform allows clients, including Fortune 500 companies, to develop, debug, and test applications related to geospatial data science, machine learning, AI, and analytics. The core of Wherobots' product is based on Apache Sedona, an open-source framework that enables large-scale spatial data operations using modern cluster computing systems like Apache Spark and Apache Flink. Unlike its competitors, Wherobots offers a unified interface for all spatial data needs, simplifying operations and enabling real-time data engineering on a global scale. The company's goal is to streamline the handling of spatial datasets from ingestion to delivery, providing a comprehensive suite of tools and services through a subscription-based model.

Company Stage

Seed

Total Funding

$5.5M

Headquarters

Phoenix, Arizona

Founded

2022

Growth & Insights
Headcount

6 month growth

18%

1 year growth

90%

2 year growth

280%
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Simplify's Take

What believers are saying

  • The recent $5.5 million seed funding round provides significant financial backing to accelerate the development of their next-generation data platform.
  • Wherobots' focus on geospatial analytics and AI positions it well in a growing market with increasing demand for spatial data solutions.

What critics are saying

  • As a startup, Wherobots faces the inherent risks of early-stage companies, including market adoption and scalability challenges.
  • The niche focus on geospatial data may limit its market to specific industries, potentially constraining broader market appeal.

What makes Wherobots unique

  • Wherobots focuses on treating spatial data as a 'first-class citizen,' which sets it apart from competitors who may not prioritize geospatial data in their analytics platforms.
  • The company's specialized spatial compute and AI engine is uniquely engineered for space and time data, offering a competitive edge in geospatial analytics.

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