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

Own the roadmap, requirements, timelines, and execution for consumer applications. Partner with executive, engineering, machine learning, frontend, backend, and UI/UX teams to define and launch features. Analyze user data and feedback, establish KPIs, improve engagement, track delivery and engineering velocity, communicate product benefits, and drive continuous product improvement while maintaining security and information-protection practices.

Supports in-house counsel through legal and regulatory research, compliance reporting, contracting assistance, legal education coordination, and process improvement. Tracks regulatory developments across U.S. and international jurisdictions, assesses impacts on the company and customers, collaborates with Sales, Marketing, and Engineering, and helps implement tools for contract management and legal operations efficiency.

Supports marketing campaigns through research, audience feedback, data collection, campaign performance analysis, reporting, and presentation development. Collaborates across teams and with Business Development to build brand awareness and marketing strategies. Manages projects, oversees marketing material design and graphics, communicates product value, and maintains attention to data protection policies and industry practices.

Manage the employee lifecycle, including onboarding, offboarding, benefits, compensation, payroll, leave, performance management, employee relations, compliance, and visa-related requests. Oversee office operations, employee engagement events, HR data analytics, and inclusive culture initiatives. Partner with leadership and employees while maintaining information security, policy compliance, and employment-law adherence.

Design, build, and improve scalable backend systems, REST APIs, microservices, data-processing systems, and distributed job platforms. Write secure, maintainable, high-performance code; practice test-driven development; debug production issues; improve engineering standards and tooling; and participate in on-call rotations. The role requires designing highly available systems, building backend APIs, working with relational databases, and applying security best practices.

Build and improve scalable backend systems, including REST APIs, microservices, data processing, and distributed task systems. Develop secure, maintainable code; contribute to product and engineering improvements; practice test-driven development; debug production issues; participate in on-call rotations; and apply security and data-protection best practices.

Supports Deploy’s media and sports business by analyzing offerings, metrics, priorities, and commercialization strategies. Manages client project delivery, bridges clients with product and engineering teams, develops presentations and deal documents, and advises on AI-powered solutions. The role also contributes to client growth, industry awareness, and collaboration with machine learning teams while managing multiple priorities.

Manage daily recruiting team operations and full-cycle hiring for technical and non-technical roles. Mentor recruiters, partner with leadership and stakeholders, lead talent acquisition projects, and develop initiatives including referrals, university recruiting, sourcing, and diversity programs. Maintain recruiting metrics, optimize hiring processes, ensure Applicant Tracking System compliance, support audits, and follow information-security policies.

Build secure, scalable frontend interfaces for Deploy’s data and enterprise products using React and JavaScript. Collaborate with design, product, and engineering teams to deliver user-focused features, participate in product decisions, improve team efficiency, and apply OWASP practices to protect information assets. The role requires strong web technologies knowledge, UX sensibility, maintainable coding practices, and effective communication in a fast-paced AI startup environment.

Support executive and company-wide operational initiatives, manage projects, improve processes, establish reporting and productivity goals, analyze operational metrics, and identify optimization opportunities. The role requires a versatile generalist who can synthesize stakeholder feedback, manage changing priorities, and contribute to high-impact projects in a fast-growing AI startup.