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

Manage accounting operations, month-end close, reconciliations, financial reporting, revenue analysis, audits, payroll support, tax filings, internal controls, and process improvements. Partner with finance leadership and cross-functional teams to improve transparency, accuracy, efficiency, and automation. Support quarterly reviews, annual audits, forecasting, executive KPI reporting, and accounting documentation while ensuring compliance with applicable policies and requirements.

Analyze Deploy’s media and sports offerings, priorities, metrics, client solutions, and commercialization strategies. Support multiple projects, communicate analytical findings, collaborate with machine learning and engineering teams, and contribute to business growth and client outcomes. The role also involves monitoring industry practices, protecting information assets, and supporting awareness of Deploy’s AI-powered products among target media, sports, agency, and advertiser communities.

Supports business operations by executing strategic initiatives, improving processes, managing projects, collecting and reporting metrics, advising managers on operational findings, and optimizing systems and procedures. The role acts as a generalist supporting cross-functional projects and company growth in a fast-paced AI startup environment.

Leads enterprise client partnerships, solution design, project delivery, and customer success in collaboration with executives, engineering, and product teams. Manages a business analyst team, supports business development, develops business cases for new products, and improves company processes. The role requires strong communication, leadership, organization, independent execution, and a passion for AI startups.

Chief of Staff supporting the executive team by managing schedules, high-priority projects, communications, meetings, and internal operations. The role coordinates with senior management and HR, addresses employee and company inquiries, maintains information-handling practices, and escalates security or policy violations. The ideal candidate is highly organized, self-motivated, detail-oriented, adaptable, and experienced in administrative work within a fast-paced startup environment.

Develop and productionize machine learning models at scale, including neural network design, data preparation, training, tuning, deployment, monitoring, and continuous improvement. Build scalable data pipelines and secure backend systems, conduct metric-driven research, improve engineering practices, mentor junior engineers, and collaborate cross-functionally. The role requires expertise in modern ML frameworks, distributed systems, Python or shell scripting, and a machine learning specialization such as computer vision or NLP.

The Enterprise Account Executive will generate and manage enterprise sales opportunities, analyze target markets, build customer relationships, host events, and manage complex sales cycles from lead generation through onboarding. The role involves negotiating deals, maintaining opportunity data in HubSpot, meeting sales quotas, collaborating with senior leadership, and providing customer and market feedback to engineering and product teams.

Own post-sales relationships with enterprise customers, leading onboarding, implementation, adoption, renewals, and expansion. Define success metrics, monitor customer engagement, resolve technical issues, and communicate proactively with stakeholders. Represent customer feedback internally to influence product development while collaborating with Sales, Product, Engineering, and Operations. Create customer success playbooks and support customers integrating Deploy’s AI APIs and platforms.

Supports the roadmap, requirements, development timelines, and execution of cloud-hosted AI models. Collaborates with machine learning, infrastructure, engineering, and product teams to define features, track delivery, understand customer needs, communicate product benefits, improve models, and enhance development practices. The role offers a path toward future product ownership and leadership.

Build and deliver end-to-end software solutions for enterprise customers using AI platforms and APIs. Responsibilities include coding integrations, resolving technical customer issues, defining adoption metrics, collaborating with Sales, Product, and Engineering, documenting solutions, monitoring usage, and influencing product priorities through customer feedback.