AI Product Manager

Posted 11 Days Ago
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IL
Mid level
Artificial Intelligence • Software
The Role
The AI Product Manager will lead the core Machine-Learning platform at Voyantis, overseeing the entire product lifecycle. Responsibilities include collaborating with engineers and data scientists, defining metrics, and solving obstacles to achieve business goals in a fast-paced startup environment.
Summary Generated by Built In

Description

About Us

Voyantis’ AI Value Based Optimization platform helps companies maximize their users' Unit Economics and efficient growth efforts. 

Our solution leverages predictive models to optimize the efficiency of large-scale paid acquisition campaigns. By applying user-level LTV predictions, our platform enables organizations to attract high-value customers and automate nurturing actions throughout their growth journey.

Leading companies like Miro, Deel, Rappi, and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California and Tel Aviv.

About the job

We’re looking for an experienced AI Product Manager to join our Data-Science infrastructure product team and lead our core Machine-Learning platform, with a mission to generate top-quality models in minimum time. Your customers are internal data scientists and data-analysts teams who are using the ML platform to efficiently serve our customers. 

You will be responsible for creating smart solutions that will enable Voyantis to ignite its scale, and make creative data-science solutions easily accessible for data-scientists and data-analysts. Our ideal candidates are excited by Data Science, willing to get their hands dirty by diving into the data when needed. At the same time they are strong and creative problem solvers that can guide a team of engineers and data scientists and maximize the team’s business impact.



Responsibilities

  • Holistic responsibility on the full product life-cycle of our core ML-Platform - ideation, planning, development, launch and iterations
  • Work together with engineers, data scientists, data analysts, UX designers, and other key stakeholders in the company 
  • Intimate understanding of our internal customers onboarding and maintenance processes
  • Define metrics, analyze usage patterns, and solve problems that block us from reaching our goals
  • Navigate in a fast-growing startup, where the product development and business requirements are rapidly evolving



Requirements

  • At least 3 years of experience as a Product Manager, preferably in ML-based product
  • Ability to ask the right questions, using both quantitative and qualitative metrics to answer them
  • Excellent communication skills, with the ability to convey complex requirements in a precise and clear manner
  • Experience in working together with the design team and defining end-to-end UX flow
  • Great leadership skills with a high sense of ownership and decision-making skills
  • English proficiency is a must

Bonus Points 

  • Experience as a data scientist or a data analyst - a major advantage
  • Experience with B2B SaaS products selling to enterprises
  • B.Sc. in Computer Science/Physics/Mathematics/Statistics 
  • Experience in Growth, Performance Marketing or advertising


Top Skills

Machine Learning
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The Company
HQ: Tel Aviv
83 Employees
On-site Workplace
Year Founded: 2020

What We Do

Voyantis empowers growth teams at companies like Miro, Rappi, Nerdwallet, P&G and Deel to effortlessly attract and retain their top customers with our prescriptive AI. As a Value-Bidding partner, our AI helps clients attract high-value customers on Google, Meta, and TikTok, then delivers timely actions to effectively activate, engage, nurture, and retain them. Customers report a 20%-50% increase in ROAS, at least 35% more high-value subscriptions, more than 25% increase in ARPU, and at least a 25% reduction in CAC

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