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

Own and scale Deploy’s growth marketing function across paid and organic channels. Develop acquisition strategy, manage campaigns, lead experimentation, optimize audiences and creative, measure attribution and ROI, and report performance to executives. Collaborate with product, sales, design, and external partners while setting OKRs and identifying growth opportunities. Initially an individual contributor, the role is expected to hire and lead a small growth marketing team within the first year.

Manages San Francisco office operations, facilities, catering, supplies, vendors, space planning, building relationships, employee access, and workplace events. Supports People Operations with benefits, immigration, and compliance needs, while assisting the CEO with calendaring, email, and travel. Helps maintain a positive company culture and secure, organized, well-functioning workplace.

Own the roadmap, requirements, timelines, and execution for cloud-hosted deep learning models. Partner with machine learning, infrastructure, product, engineering, customers, and executives to define priorities, deliver new capabilities, improve model performance, track development progress, and establish best practices for secure, efficient delivery.

Build high-performance, scalable frontend applications using React, Redux, JavaScript, HTML, and CSS. Collaborate with design and product teams to deliver user-focused features, participate in product decisions, improve team efficiency, and write secure, maintainable, testable code. The role requires strong UX sensibilities, independent decision-making, effective communication, and application of OWASP security practices.

Develop and productionize deep learning models across the full machine learning lifecycle, including neural network design, data preparation, training, tuning, deployment, monitoring, and continuous improvement. Build scalable data pipelines for large datasets, collaborate with Backend, DevOps, and data-labeling teams, and apply security and information-protection practices. The role requires strong Python and machine learning framework expertise, production deployment experience, and familiarity with distributed data technologies.

Develop and manage enterprise sales opportunities for AI and cloud-based software products. Responsibilities include researching markets, generating leads, managing complex sales cycles from prospecting through onboarding, nurturing client relationships, hosting events, maintaining HubSpot CRM data, providing product feedback, and meeting or exceeding sales quotas.

The Client Solutions Associate manages client relationships and project delivery for AI-powered products. Responsibilities include addressing business needs, advising on technical solutions, coordinating with machine learning and engineering teams, resolving delivery challenges, supporting sales initiatives, and managing multiple client projects. The role requires a technical background, consulting or business development experience, strong quantitative and communication skills, and the ability to work independently in a fast-paced environment.

Own the full enterprise sales cycle for Media & Sports accounts, from prospecting and market analysis through negotiation and closing. Build sales pipelines, expand existing accounts, host client events, maintain HubSpot CRM data, achieve quotas, and provide market feedback to product and engineering teams. The role requires strong relationship-building, quantitative analysis, communication, organization, and interest in AI and machine learning.

Coordinates recruiting activities, including interview scheduling, candidate sourcing, phone screens, applicant tracking, outreach goals, job postings, candidate travel, and onsite interview logistics. Maintains accurate recruiting data, supports hiring metrics, and follows information security policies. Requires strong communication, organization, initiative, multitasking, Google Suite proficiency, and a bachelor’s degree.

Creates technical and marketing content across engineering blogs, mailing lists, white papers, decks, web copy, and product documentation. Collaborates with sales, business development, design, and engineering teams; researches markets and industries; identifies end-user documentation needs; standardizes content across platforms; and applies SEO and data-driven insights. The role requires strong writing, technical understanding, organization, creativity, and the ability to manage multiple projects and deadlines.