Top Hybrid Jobs in San Francisco, CA

Lead recruiting strategy for Sales, Customer Experience, RevOps, Account Management, and Enablement teams. Partner with executives on workforce planning, headcount forecasting, talent pipelines, and hiring profiles. Manage and develop a team of recruiters, oversee leadership searches, improve structured interview processes, and optimize recruiting operations. Analyze ATS and funnel metrics, including pipeline velocity, conversion rates, source mix, and offer acceptance, to improve hiring outcomes and support revenue growth.

Leads Datadog’s content-led SEO and GEO strategy to grow qualified organic traffic, visibility, and pipeline. Owns content opportunity prioritization, LLM discoverability, off-page strategy, link acquisition, digital PR, and authority building. Partners with Website Experience, Product Marketing, and Engineering while contributing high-impact content and evaluating emerging search and AI trends. Leads and develops a high-performing team in this senior individual contributor role.

Own the full outbound sales cycle for mid-market merchants, from prospecting and pipeline development through discovery, product demonstrations, negotiation, and close. Build net-new business through strategic outreach, sell multi-product solutions, manage complex multi-stakeholder deals, forecast accurately in Salesforce, and consistently exceed revenue targets. Collaborate with business development, product, marketing, implementation, and operations teams while serving as a consultative advisor to merchants.

Architects and builds BuildOps’ integration and data platform, including APIs, services, databases, workflows, event-driven systems, observability, and scalable cloud infrastructure. Leads technical decisions across teams, improves reliability and performance, establishes testing and deployment practices, evaluates technologies, mentors engineers, and drives engineering-wide initiatives through cross-functional influence.

Leads creative direction and execution for digital, print, and multimedia marketing assets. Owns the digital design system, brand consistency, creative production, and performance optimization. Manages and mentors digital designers while partnering with product, marketing, sales, UX, and copy teams. Translates user insights into compelling experiences, oversees projects from concept through delivery, develops brand guidelines, and supports hiring and team development.

Develop and operationalize talent management philosophies, programs, tools, and enablement systems across performance, growth, leadership, career development, mobility, and succession. Partner with People Partners and senior leaders to improve talent density, develop leaders, support early-career strategy, shape role architecture, and execute high-impact talent initiatives. Translate ambiguous principles into scalable frameworks and operating mechanisms while driving cross-functional change without formal authority.

Build AI-powered features and products for clinical documentation and medical coding. Develop LLM-driven agentic systems, APIs, services, and production infrastructure across healthcare revenue cycle workflows. Create evaluation frameworks and experimentation loops using statistical and data-driven methods to ensure reliability, auditability, and alignment with coding guidelines and user feedback. Collaborate with product, design, machine learning, clinical, and revenue cycle experts to deliver high-impact SaaS solutions.

Lead the development of foundational iOS platform systems, shared frameworks, developer tools, architecture standards, and multi-quarter migrations across Cash App and Square. Drive performance, reliability, security, testing, observability, release safety, and AI-assisted development practices. This hands-on individual contributor role influences multiple teams, develops technical leaders, and partners broadly to improve iOS engineering quality, productivity, and product outcomes.

Build and operate data platform infrastructure supporting analytics, machine learning, and AI systems. Responsibilities include developing Lakehouse and Spark systems, improving performance and reliability, implementing data quality, governance, lineage, metadata, security, and access controls, evaluating query and OLAP technologies, enhancing observability and deployment processes, supporting incident response, collaborating with data teams, contributing to open-source projects, and mentoring engineers.

Build and own scalable finance and revenue data pipelines, models, and datasets supporting ARR, NRR, bookings, billing, and revenue attribution. Ensure data quality, reliability, monitoring, reconciliation, and self-service access while partnering with Finance, Revenue Operations, Analytics, Product, and Engineering.