FamilySearch has made more than 2.6 billion historical resources available to the public, and according to John Alexander who is a senior product manager there, there's a lot more on the way. More than 5 billion more documents -- collected and converted to digital images -- need to be transcribed to make them searchable and usable in FamilySearch's database. And 1 to 2 million more are added every single day. With the development of new artificial intelligence technology, there's more hope of getting billions of records to families looking for information about their relatives in as little as five years. And it's already being tested and used.

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming and more, by reducing fraud and transforming human interactions with data, products, and services. We're in the process of rapidly scaling our diverse global team and we're looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! Are you a passionate product manager who wants to build digital identity products for millions of end-users? As a Senior Product Manager at Incode, you will own the business strategy and vision for a multi-functional team to design, develop, test, and deploy new features and products.

Alation, Inc. is hiring for Full Time Senior Product Manager - Data Management & Lineage - Redwood City, California - a Senior-level AI/ML/Data Science role offering benefits such as Career development, Competitive pay, Equity, Flex hours, Flex vacation, Health care, Startup environment

Headquartered in San Francisco, Tubi is an ad-supported video-on-demand (AVOD) service with movies and television shows. With over 40,000 titles from every major Hollywood studio, Tubi gives fans of movies and television shows an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming. Our services are currently available in the US, Canada, Australia, New Zealand, Mexico, Costa Rica, Ecuador, El Salvador, Guatemala, and Panama.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

According to Gartner, artificial intelligence will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally in 2022. Many companies are aiming for an AI-first strategy where machine learning, in addition to optimizing business processes, is now also being used to rethink business strategies. An AI-first approach strategy makes AI the core of the company used to optimize forecasting, customer support, marketing, product, manufacturing, fault detection, and to learn about customer preferences and innovative ways to create competitive advantage. In the ideal world, AI would be assisting with every phase of decision making fully embedded into systems and fully transparent to employees and customers. But to achieve this goal, fundamental changes need to take place including a top-down shift in mindset, as well as implementation of MLOps tools to help IT teams to overcome technical hurdles that can prevent AI from reaching its full potential.

According to Gartner, artificial intelligence will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally in 2022. Many companies are aiming for an AI-first strategy where machine learning, in addition to optimizing business processes, is now also being used to rethink business strategies. An AI-first approach strategy makes AI the core of the company used to optimize forecasting, customer support, marketing, product, manufacturing, fault detection, and to learn about customer preferences and innovative ways to create competitive advantage. In the ideal world, AI would be assisting with every phase of decision making fully embedded into systems and fully transparent to employees and customers. But to achieve this goal, fundamental changes need to take place including a top-down shift in mindset, as well as implementation of MLOps tools to help IT teams to overcome technical hurdles that can prevent AI from reaching its full potential.

When software providers talk about the technologies they say "democratize" AI, they also talk a lot about "guardrails." That's because the rapidly evolving world of AI tools is still more like a republic governed by the machine-learning elite. Although no-code and low-code AI tools promise to give everyone a chance to build business analytics models or simple applications that use AI to complete tedious tasks, the amateurs whom no-code AI companies refer to as "citizen data scientists" are often required to play with the bumper rails up. That's because toolmakers and management are worried about the risks inherent in allowing just anyone to create sophisticated AI systems. "As you go into low-code and actually more the no-code environment, then there are guardrails as to what you can and can't do," said Ed Abbo, president and chief technology officer at C3 AI, which provides software designed to help people with zero coding experience build machine learning models.

We were recently engaged by a client to conduct a search for a Sr. Product Manager for AI/ML. Our client is a Toronto-based enterprise B2B SaaS vendor with an AI-powered Maintenance Management System, whose meteoric growth resulted in their acquisition in 2020. This transaction and investment into the business and their solutions are driving further growth including that of their Product Management organization. At the time of our engagement, they employed approximately 200 full-time employees in Canada. We conducted a targeted search on their behalf, seeking Senior Product Managers who had experience shipping B2B products that leveraged AI/ML, specifically with regards to Predictive Analytics.

Our Marketing Data Science team drives development of world-class ML systems that improve our customer understanding and marketing decisions. We build innovative DS products and services that enhance our customer experience, improve customer loyalty, and ultimately grow our business. We have a modern tech stack including sophisticated capabilities around AI, data science, causal inference and personalization. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes.