Technical Leadership Jobs in Remote
290,833 open positions · Updated daily
Looking for Technical Leadership jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Technical Leadership position in the Remote area.
Corporate Sales Engineer (Remote)
Company: CrowdStrike
Location: Barcelona, Spain / Remote
Posted Jan 24, 2025
Senior Product Marketing Manager (Remote, US-based)
Company: Liquibase
Location: Remote
Posted Jan 24, 2025
Liquibase is seeking a Senior Product Marketing Manager to define and optimize their go-to-market strategy. The ideal candidate should have extensive experience in product marketing for technical products, particularly in developer-oriented software tools. They must be knowledgeable about DevOps and databases, with a strong ability to write effective technical content. The role involves developing product positioning, leading product launches, supporting sales enablement, and collaborating with cross-functional teams. Liquibase offers a remote-first culture, meaningful equity, comprehensive benefits, and opportunities for growth.
Staff Software Engineer, Compute Reliability and Efficiency
Company: Reddit
Location: Remote
Posted Jan 24, 2025
Director of Strategy and Execution
Company: Equinix, Inc
Location: Toronto, Canada / Remote
Posted Jan 24, 2025
Senior R&D Engineer - Physics Informed Machine Learning
Company: Ansys
Location: Roanoke, VA / Remote
Posted Jan 24, 2025
Advisor Recruiter/Business Development Manager
Company: Prudential Financial
Location: Charlotte, NC / Remote
Posted Jan 24, 2025
Senior Manager, AI/ML Engineering
Company: Spring Health
Location: Remote
Posted Jan 24, 2025
Spring Health is a leading mental healthcare provider, partnering with over 450 companies to serve 10 million people. They aim to revolutionize mental healthcare by removing barriers and delivering personalized care. The company has raised $33 billion in funding and seeks a Senior Manager of AIML Engineering to lead a team of data scientists in developing machine learning models and algorithms. The ideal candidate will have a strong technical background, leadership skills, and a passion for driving data-driven impact.