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

Conduct multichannel outbound prospecting, screen inbound and outbound leads, assist smaller customers through paid onboarding, maintain accurate pipeline records, and pass qualified opportunities to the broader sales team. The role also involves developing creative prospecting strategies and working onsite five days per week.

Generate qualified pipeline through outbound prospecting to technical and security decision-makers. Research target accounts, personalize outreach, book and qualify meetings, support founder-led sales calls, and maintain accurate CRM records. The representative will use sales engagement and data enrichment tools, follow up with event leads, develop technical product knowledge, and share market feedback to improve messaging and future sales efforts.

Own the networking and distributed systems layer of a software platform. Build low-latency proxies, gateways, request paths, data pipelines, and storage systems for high-volume traffic. Lead customer deployments across cloud, private network, and on-premises environments while owning a product area end to end. The role is approximately 80% hands-on engineering and 20% customer-facing work.

Manages business operations across go-to-market, client engagement, and delivery. Responsibilities include launching engagements, creating executive presentations, processing and quality-reviewing client data, coordinating subject-matter experts, and managing delivery schedules, quality, and costs. The role involves senior stakeholder interaction, account ownership, and collaboration with engineering. Candidates need consulting, investment banking, or startup experience; client-facing skills; quantitative decision-making ability; and experience running AI training or evaluation programs.

Build and maintain production software supporting machine-learning dataset creation. Partner with researchers to define requirements, develop data pipelines and automated workflows, create quality checks and grading methods, investigate data issues, and improve processes. The role requires strong coding, production software experience, project ownership, data-quality diligence, and collaboration with researchers and subject-matter experts. This is a full-time, on-site position in the San Francisco Bay Area.

Design and deliver scalable, safe conversational AI agents for regulated environments. Coordinate multiple agents, monitor production traces, create evaluation cases, improve agent frameworks, integrate external data sources, and support consistent conversations across voice, text, and email. The role requires hands-on experience shipping conversational agents and AI applications at scale, plus evaluation and tracing infrastructure experience.

Build and scale backend services, real-time conversational systems, data pipelines, and personalization infrastructure for a consumer application. Responsibilities include hardening services and integrations, structuring sensitive user data, designing scalable distributed architectures, supporting experimentation, and owning projects from design through deployment and scaling.

Lead a defined product area from planning through launch, owning roadmap priorities, customer discovery, technical tradeoffs, and success metrics. Collaborate closely with senior engineers and product leadership to turn feedback into effective plans and releases. Coach a junior product manager. The role requires experience managing sophisticated AI products, strong technical collaboration, practical use of AI-native tools, and approximately 3–5 years of product management experience.

Leads enterprise client deployments from discovery through launch, managing project plans, milestones, executive communications, scope, training, adoption, and on-site delivery. Partners with founders and engineers to deploy and improve the platform, write code, build integrations, prototype solutions, and troubleshoot complex environments. Converts implementation lessons into reusable tooling, templates, and delivery practices. Requires technical software development experience, client-facing implementation leadership, strong API and data knowledge, and travel to client sites.

Lead enterprise client engagements from planning through post-launch, combining software development, architecture, delivery ownership, and stakeholder communication. Build backend services, data pipelines, integrations, and applications that automate workflows and connect fragmented enterprise systems. Validate deployments, investigate issues, define safeguards, and create reusable components across clients. The role requires production engineering experience, client-facing presence, architectural judgment, and willingness to work onsite in New York City or the San Francisco Bay Area with significant travel.