Senior Product Manager
AI & Machine Learning
Confirmed live in the last 24 hours
SimpliSafe

11-50 employees

Home security company
Company Overview
Simplisafe wants to make home security accessible to everyone
Consumer Goods
Hardware

Company Stage

Seed

Total Funding

$587M

Founded

2006

Headquarters

, United Kingdom

Growth & Insights
Headcount

6 month growth

13%

1 year growth

4%

2 year growth

4%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
Computer Vision
CategoriesNew
AI & Machine Learning
Requirements
  • 3-5 years of proven experience as a Product Manager, with a focus on computer vision and machine learning products.
  • Strong technical background and understanding of machine learning algorithms, computer vision techniques, and data science principles.
  • Demonstrated success in launching and managing complex, innovative products.
  • Willingness to roll up your sleeves and get things done
  • Loves and thrives in ambiguous environments
  • Data-driven mindset encouraging debate and critical thinking with quick decisions
  • Strong writing ability, presentation and verbal communication skills.
  • Bachelor's or Advanced Degree in Computer Science, Engineering, or related field preferred
Responsibilities
  • Define and articulate the product vision, strategy, and roadmap for computer vision and machine learning products aligned with overall company goals.
  • Stay abreast of industry trends, emerging technologies, and competitor products to drive continuous innovation.
  • Collaborate with cross-functional teams, including engineering, data science, design, and marketing, to drive the development and launch of high-quality products.
  • Work closely with technical teams to understand the feasibility and limitations of proposed solutions.
  • Lead the end-to-end product development lifecycle, from concept to launch, ensuring products meet customer needs and business objectives.
  • Prioritize features and functionality based on a combination of customer feedback, business goals, and technical constraints.
  • Establish key performance indicators (KPIs) and metrics to measure the success of products, and use data to drive continuous improvement.
  • Monitor product adoption, user satisfaction, and revenue metrics to inform future product iterations.
Desired Qualifications
  • Bachelor's or Advanced Degree in Computer Science, Engineering, or related field preferred