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

One Month AgoSaved
In-Office
San Francisco, CA, USA
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Lead Campfire’s brand storytelling and editorial strategy across long-form content, newsletters, video scripts, social, thought leadership, customer stories, and executive content. Develop the brand voice, manage the editorial calendar, create original research-driven content, collaborate with SEO, social, product, creative, and customer marketing teams, and measure content performance to grow engagement, subscribers, and pipeline.
One Month AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Own Campfire’s B2B social strategy across LinkedIn, YouTube, and Reddit. Manage content calendars, daily publishing, community engagement, social listening, executive and employee advocacy, YouTube operations, Reddit participation, influencer amplification, and organic-to-paid partnerships. Report on performance, test content formats, and route audience insights to internal teams.
Top Skills: Ai-Answer Visibility ToolsCanvaFigmaLinkedInRedditYoutube
One Month AgoSaved
In-Office
San Francisco, CA, USA
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Own product positioning, messaging, competitive intelligence, and go-to-market launches for a B2B software product area. Develop sales enablement materials, train Sales and SDR teams, partner with Product on roadmap, naming, pricing, and packaging, and collaborate with Growth, Brand, Field, and Customer Marketing. Use customer research, win/loss analysis, message testing, adoption metrics, and pipeline influence to guide decisions and measure results.
Top Skills: AIErp
One Month AgoSaved
In-Office
San Francisco, CA, USA
150K-220K Annually
Entry level
150K-220K Annually
Entry level
Artificial Intelligence • Software • Analytics • Financial Services
Build and operate data pipelines that integrate customer financial data from ERPs, warehouses, and payment systems. Develop AI agents that automate ERP implementations, partner with implementation teams to understand and transform customer data, and contribute to shared AI platform capabilities. The role requires strong full-stack engineering fundamentals, autonomous execution, and comfort working in an ambiguous, fast-moving environment.
Top Skills: Next.JsPythonReact
One Month AgoSaved
In-Office
San Francisco, CA, USA
250K-350K Annually
Expert/Leader
250K-350K Annually
Expert/Leader
Artificial Intelligence • Software • Analytics • Financial Services
Directs the engineering organization, including organizational design, leadership development, hiring, delivery operations, production excellence, technical execution, enterprise readiness, security, AI governance, budgeting, and executive strategy. Partners with the CTO and cross-functional leaders to scale engineering from approximately 30 to 75 employees while maintaining product velocity, reliability, compliance, and quality.
Top Skills: Ai AgentsLlmsMcpOauthPythonRelational DatabasesSAMLSlosSoc 2Sso
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One Month AgoSaved
In-Office
San Francisco, CA, USA
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Own end-to-end design for complex, cross-product ERP workflows, partnering with product and engineering leadership. Design clear experiences for dense financial data, evolve the design system, mentor designers, lead design reviews, engage finance customers, and shape product strategy. The role requires strong systems thinking, excellent communication, comfort with ambiguity, startup experience, and the ability to build interactive prototypes using HTML, CSS, and JavaScript.
Top Skills: CSSHTMLJavaScript
One Month AgoSaved
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Software • Analytics • Financial Services
Own end-to-end recruiting for go-to-market sales roles, including Account Executives, Solutions Consultants, and Sales Development Representatives. Build talent pipelines through sourcing and outbound recruiting, manage candidate processes, partner with Sales leaders, support hiring decisions, track pipeline health, improve recruiting processes, and represent the company throughout the candidate experience.
One Month AgoSaved
In-Office
San Francisco, CA, USA
220K-240K Annually
Mid level
220K-240K Annually
Mid level
Artificial Intelligence • Software • Analytics • Financial Services
Drive growth across non-technical verticals by prospecting, building qualified pipelines, conducting personalized outreach, managing full sales cycles, negotiating contracts, demonstrating the product, and collaborating with marketing and product teams. Track sales metrics, optimize outreach workflows, and use HubSpot and automation tools to improve conversion performance.
Top Skills: Crm SoftwareHubspotLinkedInSales Automation Tools
One Month AgoSaved
In-Office
San Francisco, CA, USA
130K-160K Annually
Entry level
130K-160K Annually
Entry level
Artificial Intelligence • Software • Analytics • Financial Services
Owns end-to-end customer deployments of an accounting platform, including scoping, configuration, data migration, testing, integrations, launch, and post-launch stabilization. The role manages project plans, timelines, dependencies, risks, and concurrent implementations while partnering with Product and Engineering to resolve issues and incorporate customer feedback. Strong ERP knowledge, financial data experience, stakeholder communication, and project-management skills are required.
Top Skills: NetSuiteOracleQuickbooksSageSAP
One Month AgoSaved
In-Office
San Francisco, CA, USA
180K-300K Annually
Senior level
180K-300K Annually
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Build and operate production AI agents that automate accounting workflows and help customers understand financial data. Shape agent architecture, develop customer-facing features, establish reliability practices, and own evaluations, tracing, monitoring, permissions, data access, human approvals, and failure recovery. Lead complex initiatives, make cross-team architectural decisions, mentor engineers, and balance accuracy, latency, cost, and complexity while remaining hands-on.
Top Skills: Agent OrchestrationAi AgentsAPIsDistributed SystemsLlmsMonitoringPythonRetrieval-Augmented GenerationTool CallingTracing
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