Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As an Enterprise Account Executive at PagerDuty, you will drive sales growth with Enterprise accounts, managing a pipeline of opportunities while leveraging a consultative sales approach. Responsibilities include value selling, establishing customer connections, and presenting solutions tailored to stakeholder needs, ultimately delivering exceptional sales experiences.

As a Revenue Operations Analyst, you will optimize Go-To-Market processes, enhance data accuracy, and provide insights for strategic decisions across teams. Responsibilities include collaborating with Sales and Marketing, maintaining dashboards for KPIs, ensuring data integrity, and supporting GTM tech stack implementation.

As a Product Manager, you will lead a collaborative team focused on enhancing the Salesloft Dialer and Call platform, overseeing third-party integrations, defining product roadmaps, and ensuring alignment with business goals by utilizing data-driven insights and effective communication.

The Software Engineer - DevOps & MLOps will design, implement and manage CI/CD pipelines, optimize system performance, and automate infrastructure using various tools like Kubernetes and Ansible. The role involves troubleshooting and collaborating with development and AI teams to enhance efficiency and stability in a fast-paced startup environment.

Seeking a visionary Senior Director of Marketing to lead strategic marketing initiatives, drive scalable growth, and optimize the customer journey for a dynamic educational platform with 25M+ users. Responsibilities include overseeing growth marketing strategies, team leadership, performance marketing initiatives, content marketing strategies, social media and influencer marketing initiatives, product marketing collaboration, brand performance tracking, and budget management.

The Sr. Manager of Scaled Education will lead an education program for prospects, users, and employees at HoneyBook. Responsibilities include developing education strategies, overseeing a team of facilitators and instructional designers, collaborating with marketing and product teams, and ensuring effective education programs through data analysis. The role aims to enhance product adoption and support business success through education.

The Machine Learning Engineer at Normal will design, train, evaluate, and deploy machine learning models, particularly large language models. The role requires expertise in deep learning frameworks, familiarity with cloud infrastructure, and the ability to handle large datasets. A proactive mindset and excellent problem-solving skills are essential.