Anyscale

San Francisco, California, USA
Year Founded: 2019

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Benefits at Anyscale

Financial + Retirement

401(K)

Company equity

Office Perks

Company-sponsored outings

Free daily meals

Free snacks and drinks

Home-office stipend for remote employees

Health Insurance + Wellness

Dental insurance

Health insurance

Vision insurance

Wellness programs

Diversity

Documented equal pay policy

Highly diverse management team

Hiring practices that promote diversity

Culture

Flexible work schedule

Open door policy

Open office floor plan

Remote work program

Team based strategic planning

OKR operational model

Child Care + Parental Leave

Generous parental leave

Professional Development

Mentorship program

Promote from within

Lunch and learns

Continuing education available during work hours

Vacation + Time Off

Paid holidays

Paid sick days

Unlimited vacation policy

Search the 11 jobs at Anyscale

Recently posted jobs

Yesterday
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning
The Senior Commercial Counsel will lead and negotiate complex commercial transactions, provide strategic legal counsel to stakeholders, ensure regulatory compliance, and engage with external partners. This role requires significant expertise in B2B SaaS and experience in regulated sectors, along with the ability to make autonomous decisions and collaborate across functions.
Yesterday
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning
As a Product Manager for Observability at Anyscale, you will lead the development of observability solutions for machine learning developers. You will design the observability stack, collaborate with teams to enhance the platform, and drive product strategies based on customer insights, ensuring a seamless user experience for large-scale ML applications.
4 Days Ago
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning
As a Product Manager at Anyscale, you will lead the strategy and drive performance improvements across the platform, optimizing key metrics for machine learning workflows, working cross-functionally with engineers, and ensuring core product gaps are identified and addressed.