Top Hybrid Jobs in San Francisco, CA

Own end-to-end qualitative research projects for enterprise customers, including study scoping, interview guide design, participant recruitment, fieldwork oversight, analysis, and customer readouts. Translate business questions into structured studies, optimize customer-built research, manage recruitment operations, deliver actionable insights, and support successful pilots and ongoing partnerships. Collaborate with sales, customer success, research managers, contractors, and internal operations teams while identifying platform and process improvements.

Lead customer-embedded infrastructure delivery from hardware validation and capacity onboarding through production operations. Build automation for provisioning, fleet management, observability, and reliability; coordinate Cloudflare infrastructure, hardware, data center, supply chain, network, and customer engineering teams. Own technical relationships, capacity planning, incident response, operational readiness, and feedback to product teams. The role requires regular on-site customer engagement in Austin or San Francisco.

Drive new customer acquisition, account expansion, renewals, and revenue growth across a mid-market San Francisco territory. Build sales pipelines, manage partner relationships, conduct account planning, forecast outcomes, negotiate contracts, and position Cloudflare security and connectivity solutions. Develop strategic relationships with technical and executive stakeholders, identify cross-sell opportunities, support customer adoption and retention, and collaborate cross-functionally to relay customer insights.

Manage creative programs and integrated campaigns across Brand Studio and cross-functional partners. Own schedules, stakeholder communication, vendor and agency coordination, legal review pipelines, production logistics, project dashboards, and task trackers. Identify risks, run feedback checkpoints and retrospectives, and improve workflows through templates, rituals, and automation. The role requires bringing structure and clarity to multiple concurrent, fast-changing creative projects.

Own the vision, strategy, and roadmap for Gusto’s Payroll Platform. Define APIs, shared interfaces, platform boundaries, adoption metrics, and migration strategies. Lead cross-functional work with engineering, design, data, compliance, partners, and internal teams. Build trustworthy payroll controls, audit trails, and evaluations for AI agents, while connecting platform reliability and adoption to customer outcomes.

Own lifecycle marketing for Gusto’s accountant and bookkeeper channel, focusing on email and webinar programs. Plan, build, QA, launch, and report on campaigns; manage webinar production and promotion; develop AI-powered workflows for segmentation, personalization, and reporting; collaborate cross-functionally with Product Marketing, Product, Analytics, Engineering, and Creative; and analyze performance to improve engagement, retention, and growth.

Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.

Lead enterprise security engineering across DLP, zero-trust networks, endpoint protection, SaaS posture management, email security, and network defense. Design secure architectures, baseline configurations, automation, threat signaling, and risk mitigation strategies. Administer security tools, conduct incident response and threat detection, analyze logs, and support digital forensics. Partner with IT, infrastructure, risk, compliance, and engineering teams while mentoring staff and establishing cybersecurity best practices.

Design, implement, test, debug, and operate scalable backend services such as identity, friend graph, and persistence systems. Collaborate across teams to deliver product solutions while maintaining availability, scalability, security, operational excellence, and cost efficiency. Investigate incidents and hotfixes, apply distributed-systems best practices, and use AI-assisted development tools while auditing output for quality and security.

Lead Sonar’s technology partnership strategy across traditional and agentic software development ecosystems. Build executive and operational relationships, create joint go-to-market and co-selling programs, align product integrations, enable partners, track performance metrics, and represent Sonar at industry events. The role requires deep DevOps, CI/CD, software development, and AI ecosystem knowledge, plus extensive partnership or business development experience.

Leads Mastercard’s global AI Engineering organization, overseeing enterprise AI products, agentic AI solutions, reusable AI capabilities, and production deployments. Responsibilities include translating business needs into secure, scalable AI solutions; ensuring reliability, governance, compliance, privacy, and operational excellence; driving adoption and measurable outcomes; and partnering across technology, security, risk, product, and business teams. The role also develops global engineering leaders and builds a high-performing organization.

Leads product strategy, roadmap, protocols, standards, and technical capabilities for Mastercard’s AP4M agentic commerce payment network. Translates partner and market needs into product requirements, collaborates with engineering and cross-functional teams, develops integration documentation, represents Mastercard in standards forums, and supports responsible commercialization of emerging payment technologies including blockchain, digital assets, and multi-rail payments.

Mastercard seeks a Data Engineering Intern to support data science capabilities for Commerce Media and Offers. The intern will help build data pipelines and cloud-based workloads, work with distributed data processing, and contribute to AI/ML and data-driven product initiatives. Candidates should have Python experience, familiarity with cloud data platforms, strong analytical and collaboration skills, and be enrolled in a qualifying bachelor's or accelerated master's program. The role is based in San Francisco and does not offer work authorization sponsorship.

Lead GC AI’s content strategy across thought leadership, demand generation, customer marketing, SEO/AEO, and storytelling. Manage editorial calendars, contributors, distribution, brand voice, workflows, and performance measurement. Partner with demand generation, product marketing, sales, events, product, corporate communications, and executives to create content that builds authority, engages customers, and contributes to pipeline. The role requires legal expertise and strong writing, editing, strategic, and cross-functional skills.

Analyze product and healthcare billing data to support product decisions, reporting, experimentation, and claims collection improvements. Build and maintain dashboards, develop scalable datasets, conduct A/B testing, create data visualizations, and communicate actionable insights. Collaborate with product stakeholders, data scientists, and engineers on data modeling, OKRs, data quality, and pipeline reliability for Billing and Payments features.