Partner with S32 portfolio companies as a founding recruiter to design and lead early-stage hiring and talent strategies, drive growth by owning hiring projects from concept to launch, and shape company direction through hands-on recruiting and talent development.
To further our commitment to driving the growth of S32's portfolio companies, we are looking for Founding Recruiters who are enthusiastic about developing products and taking charge of projects from initial concept to final launch.
If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities.
About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
The base pay range for this role is $140,000 – $200,000 per year.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.
Top Skills:
APIsBackend SystemsEmbeddingsGongLangchainLatency ManagementLlmsMcpModel EvaluationObservabilityOpenai SdkOutreachPrompt EngineeringPythonRagRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.
Top Skills:
Ai Agent OrchestrationAWSAzureCi/CdClaude CodeCopilotCursorEvent-Driven ArchitectureGCPHigh-Throughput Api DesignInfrastructure As CodeReal-Time Systems
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead vision, strategy, and execution for Dropbox's next-generation design system and design technology platform. Build reusable patterns, components, tokens, and governance; partner with product, engineering, research, and brand; raise interaction, accessibility, and implementation quality; create adoption and measurement models; and develop a multidisciplinary team to scale coherent, high-quality multi-product experiences including AI-native capabilities.
Top Skills:
Accessibility InfrastructureAi-Assisted ExperiencesComponent ArchitectureContent SystemsDesign SystemsDesign TechnologyDesign TokensFront-End EngineeringPrototyping Tools
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
