Top Remote Jobs in San Francisco Bay Area, CA

As Partner Marketing Manager, you'll drive marketing strategies for partners, shape initiatives, and cultivate relationships to boost partner performance and alignment with business goals.

The Product Manager will lead teams to deliver data platform features, define product vision, and ensure successful product outcomes through stakeholder collaboration and KPI monitoring.

The Senior Director, Field CTO will lead Databolt, engaging with prospects and partners to promote data security and drive technical innovation in AI and analytics.

The Senior AI ML Engineer will design and implement AI/ML systems for healthcare, manage projects from ideation to release, and mentor engineers. Responsibilities include delivering quality code, driving architectural decisions, and collaborating with cross-functional teams.

As a Solutions Advisor, you will blend legal expertise with AI to optimize workflows, drive customer adoption, and teach legal professionals about AI's applications in their practice.

As a Software Engineer on the OfficeJS team, you will build and improve a Microsoft Word AI copilot for legal teams, focusing on enhancing user experience and integrating AI features seamlessly.

As an AI Engineer, you will architect AI systems for legal work, lead technical initiatives, and mentor a team while impacting the future of legal technology.

The Director of Product Marketing drives cross-functional initiatives, oversees product launch programs, and manages marketing operations and events to align with business objectives.

The Senior Manager, PMO Excellence and Launch Operations leads coordinated execution of multiple workstreams for product launches, manages program budgets, implements structured frameworks, and enhances efficiency through AI integration.

As a Product Manager for GTM Automation at Block, you will design and oversee AI products that enhance workflows, partnering with engineering and data teams to optimize automation in operations and customer interactions.

As a Senior Machine Learning Engineer, you will lead model validation for AI systems, challenge model soundness, and build validation tools for high-stakes areas such as credit and fraud prevention.

Manage relationships with ~175 mid-market service sellers, driving account growth, retention, and satisfaction while consulting on technology solutions.

The Enterprise Sales Engineer supports sales initiatives by conducting product demonstrations, managing customer evaluations, and collaborating with internal teams to improve the Samsara platform. Responsibilities include technical sales accountability and project management to drive customer success.

The role involves developing executive relationships, managing customer engagements, and achieving revenue growth through strategic sales efforts focused on government agencies.

The role involves leading a Customer Success team, defining strategies for customer engagement, and ensuring customer satisfaction through effective management and coaching.

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

The Senior Fullstack/Frontend Engineer will architect and implement scalable frontend systems for AV mapping applications, collaborating with cross-functional teams to enhance user experience and performance in autonomous driving technologies.

Design product experiences for dealer and customer-facing tools across the vehicle lifecycle, including order tracking, delivery scheduling, digital onboarding, and early ownership. Create high-fidelity prototypes, wireframes, and interaction models; translate complex workflows into intuitive interfaces; collaborate with Research, Product, Engineering and Design Systems; advocate for accessibility and consistency; mentor other designers and influence product strategy and design quality.

As a Product Manager for GTM Automation, you will lead strategies for AI-powered products, identify automation opportunities, and collaborate across teams to optimize workflows and improve efficiency.

As a Senior Machine Learning Engineer in Model Risk Management, you will evaluate and validate models that assess risk in lending and fraud, ensuring their robustness and reliability. You will collaborate with model owners, tackle model challenges, and build evaluation tools critical for understanding model performance.

Monitor and support exchange operations during weekends, troubleshoot issues, and communicate with engineers to resolve incidents effectively.