Our client integrate tech into fashion by training the algorithm
to think and function like a human fashion stylist for not just
women individually, but also large retail companies. Through
decoding a person’s emotional and perceptive needs, our client
created - artificial intelligence that understands how to
accentuate and de-emphasize certain parts of the body. Our client
use machine learning to match emotions, preferences, and
perceptions about one's body to clothes, in real time from online
and offline stores.
In this role, you will:
Define customer use cases, assess how the current product stacks
up competitively, put together a roadmap of how it will get better,
make tough calls on priorities, and ensure everything’s getting
Set the long-term vision and strategy for the company’s
Work closely with a team of engineers, ML/data scientists,
designers and product managers to deliver personalization
experiences that operate at web scale
Have regular customer interaction with digital teams &
personalization leaders from the world’s most recognizable
Partner cross-functionally with our Go-to-Market teams to launch
new products. You will have the opportunity to lead, inspire and
foster a culture of deep customer empathy within your team and
What you'll have:
Work experience with a startup. Experience of building a product
from understanding the customer to launch
4+ years product management experience, preferably working on
Saas, analytics and personalization products.
Experience partnering with customers, design, engineering, and
go-to-market teams to define a strategic product roadmap.
Outstanding intellectual ability and the ability to synthesize
information to identify what a winning product will look like, and
how it will succeed strategically in its market.
An analytical mindset. You approach problems from an inquisitive
and scientific perspective. You are comfortable running
quantitative analysis to help drive decisions but you also know how
to balance quantitative and qualitative insights.
Strong technical background -- you’ll need to be comfortable
working with senior engineers to make large-scale product,
infrastructure, and roadmap decisions.
Excellent communication, leadership and effectiveness within the
company culture are required to articulate the vision for the
product and get others excited
An understanding of the data science and/or web analytics
landscape, supported by experience with A/B testing and
Nice to have: Experience working for a Retail tech product is a
Experience in Machine Learning / AI is a plus.