AI Product Manager

1 week ago


San Francisco, United States SideRamp Full time
Job DescriptionJob Description

About SideRamp

This role is for a client of SideRamp's. SideRamp allows professionals to engage with part-time opportunities in the gig economy, offering a centralized agency that manages high-quality, flexible side gigs. We focus on connecting you to various freelance and part-time work—from discovering opportunities to streamlining the application process. Our team is designed to connect you to not just any gig, but with the right side gig that matches your career goals and lifestyle needs.

Introduction

We are partnering with an up-and-coming team at a SaaS company interested in starting an AI angle to its business, this project is experimental, so the team is looking to hire for part-time, project-based assignments. In this strategic role, you will oversee the entire product lifecycle, from ideation to launch and beyond, ensuring the delivery of cutting-edge AI solutions that meet customer needs and drive business growth.

Client

The company is a late stage SaaS company based in the US, now focusing on developing innovative AI products.

Description

As an AI Product Manager, you will drive the strategic direction and launch of new AI products. You will lead the development and execution of this project's product roadmap, collaborate with cross-functional teams, and ensure alignment with company goals.

Responsibilities

  • Lead the development and execution of the AI product roadmap

  • Drive product strategy and vision based on market trends and customer feedback

  • Collaborate with engineering, data science, and design teams to deliver high-quality AI products

  • Monitor product performance and iterate based on data-driven insights

  • Ensure alignment with company goals and objectives

Requirements

  • Proven experience as a Product Manager in the AI or tech industry

  • Demonstrated success in launching and managing AI products

  • Strong understanding of AI technologies and trends

  • Excellent communication and leadership skills

  • Ability to work effectively in a fast-paced, dynamic environment

  • Bachelor’s degree in Computer Science, Engineering, or related field

Additional Qualifications

  • Experience with agile development methodologies

  • Knowledge of machine learning and NLP

  • Ability to translate technical concepts into non-technical terms

Note: Job descriptions may have been edited from their original format to protect the identity of our clients and to ensure fair hiring standards along with consistent formats across all postings. Salary information is not guaranteed and its estimates are based on a yearly, full-time salary. This system can make mistakes. 

Compensation Range: $215K - $285K


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