Product Manager, AI & Data Science
Who We Are:
We are a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art AI capabilities to refine and transform our products.
What You’ll Do:
You will work with our machine learning engineers and data science experts to gather insights and identify opportunities within our data to improve Twitter for our users through AI. You will convey your vision through bold product roadmaps, which you will bring to our millions of users, working closely work closely with product leaders and software engineers, thanks our world class infrastructure and machine learning platforms.
Who You Are:
You are a visionary fascinated by Twitter: the change it brings to the world in how we communicate and learn about what’s happening, at each instant. You realize the unique challenges, and importance, to bring the right content in front of our users, anywhere in the world at the scale and speed of Twitter. You are fascinated by the recent advanced in AI and deep learning, and foresee the incredible potential that AI within Twitter can create.
Minimum of three years of product management experience.
Computer science or engineering background strongly preferred; a background in machine learning and its applications is a plus.
Ability to think strategically and craft a compelling product vision.
Experience driving impact through cross-functional leadership.
Exceptional written and verbal communication skills.
Strong analytical abilities is a must.
You have a get stuff done attitude, have great positive energy, and thrive in a fast paced environment.
You are passionate about technology and can keep up with the latest.
You’ve done this kind of thing before. You have a track record of launching exciting ML products.
Thrive in fast-paced environments where the only constant is change
MS or PhD in machine learning or equivalent work experience
After you apply, a recruiter may reach out to you for an introductory call.
If your background is a match for the role, you may phone interview with 1-2 people.
If you continue through the process, you will come onsite 1-2 times to interview with a total of 5-10 people.
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