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hims & hers
San Francisco, CA, United States
About the Role: Imagine directing a world-class Machine Learning team on a path towards truly personalized medicine. This could be your reality by applying for this pivotal role! We’re looking for a Director to lead our machine learning engineering team toward the forefront of personalized medicine and help us re-write the rule book on what’s poss
Job Source: hims & hersCapital One
San Francisco, CA, United States
130 5th Ave (22130), United States of America, New York, New YorkSr. Manager, Product Management, Enterprise Machine Learning Capital One is a high-tech company, a scientific laboratory, and a customer and tech focused company reaching millions of consumers. We are a passionate and entrepreneurial team embracing bold ideas, fostering collaboration
Job Source: Capital OneCapital One
San Francisco, CA, United States
130 5th Ave (22130), United States of America, New York, New YorkSr. Manager, Product Management, Enterprise Machine Learning Capital One is a high-tech company, a scientific laboratory, and a customer and tech focused company reaching millions of consumers. We are a passionate and entrepreneurial team embracing bold ideas, fostering collaboratio
Job Source: Capital OneRippling
San Francisco, CA, United States
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding,
Job Source: RipplingDoorDash
San Francisco, CA, United States
At DoorDash, we're building the on-demand logistics engine of the future. We strive to empower local economies by helping businesses grow, creating flexible earnings opportunities, and connecting you to what you love. We are building foundational Data Platforms, ML Platform, Experimentation and Decision Systems /Frameworks which the product teams a
Job Source: DoorDashPenn Foster
San Francisco, CA, United States
If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma. Want to infuse a $34B sector of the insurance and real estate industry with predictive analytics and a tech-forward customer experience? Join Doma and send an entirely new type of real estate model into the world. About Us Doma offer
Job Source: Penn FosterDoorDash USA
San Francisco, CA, United States
About the Team At DoorDash, we're building the on-demand logistics engine of the future. We strive to empower local economies by helping businesses grow, creating flexible earnings opportunities, and connecting you to what you love. We are building foundational Data Platforms, ML Platform, Experimentation and Decision Systems /Frameworks which the
Job Source: DoorDash USAAssembled
San Francisco, CA, United States
Assembled is building software to transform and elevate customer support teams, which often represent 20-50% of the people at a company. Our workforce management platform helps some of the fastest-growing, most innovative companies in the world—including Stripe, Zoom, and Robinhood—to schedule, forecast, and organize their support teams. We’ve rais
Job Source: AssembledSan Francisco, CA, United States
About Anyscale:
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.
As a Lead Product Manager focused on machine learning, you will play a pivotal role in shaping and driving the development of products that power the biggest and most complex AI applications. You will lead a talented team of product managers, engineers, and data scientists to deliver innovative solutions that meet our customers' needs. This is an exciting opportunity to work at the intersection of AI and real-world applications, transforming industries and driving impact.
We're looking for a seasoned PM lead and operational expert who can chart a path to make Anyscale the go-to platform for delivering the fastest, most cost-efficient modern AI/ML infrastructure. This PM will ensure that Developers and ML practitioners have the tools they need to do their work without having to deal with infrastructure or being "locked out" of the latest advances in the space. This PM will ensure infrastructure teams have the capabilities they need to modernize and future-proof their ML platforms and avoid being "locked in" to a single, inflexible environment.
Responsibilities:
Define and execute the product vision and strategy for our machine learning products, aligning with the company's overall goals and objectives
Lead a team of product managers, guiding them in the development of product roadmaps, feature prioritization, and delivery timelines
Collaborate closely with cross-functional teams, including engineering, data science, design, and marketing, to ensure successful product development and launch
Conduct market research, competitive analysis, and user feedback analysis to identify market trends and customer needs
Work closely with customers and stakeholders to gather requirements, understand pain points, and validate product concepts
Drive the agile development process, including sprint planning, backlog grooming, and release management
Monitor product performance, analyze user metrics, and iterate on product features to optimize user experience and drive customer satisfaction
Stay up-to-date with the latest advancements in machine learning and AI technologies, identifying opportunities for innovation and growth
Foster a culture of collaboration, inclusion, and continuous learning within the product management team and across the organization
Qualifications:
Bachelor's or advanced degree in Computer Science, Engineering, or a related technical field
MBA or equivalent business experience is a plus
Proven 5+ years experience as a Product Manager in a technology-driven company, with a focus on machine learning or AI products
Strong understanding of machine learning concepts, algorithms, and applications
Track record of successfully delivering complex software products or platforms from concept to launch
Exceptional leadership and people management skills, with the ability to inspire and motivate cross-functional teams
Excellent communication skills, both written and verbal, with the ability to effectively present complex technical concepts to diverse stakeholders
Compensation
At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $222,846 - $365,000 As the market data changes over time, the target salary for this role may be adjusted.
This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:
Stock Options
Healthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents
401k Retirement Plan
Wellness stipend
Education stipend
Paid Parental Leave
Flexible Time Off
Commute reimbursement
100% of in-office meals covered
$222,846 - $365,000 a year
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
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Email Alert for Director of Product Management (Machine Learning) jobs in San Francisco, CA, United States
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