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

Design and build conversion-focused landing pages, campaign sites, and brand experiences from concept through production front-end code. Maintain corporate and marketing websites, implement technical SEO, collaborate with design, marketing, product, engineering, and DevOps teams, and perform design QA and cross-browser testing. Manage multiple initiatives, communicate decisions, and ensure accessible, high-performance web experiences.

The Product Designer creates end-to-end digital experiences for participant-facing products and internal healthcare workflows. Responsibilities include user research, journey mapping, wireframing, prototyping, interface design, design-system contribution, accessibility, usability testing, stakeholder collaboration, and implementation support. The role partners with product, engineering, research, and operational teams to improve released experiences and manage evolving priorities in a remote environment.

Administer employee leave programs, including FMLA, ADA accommodations, workers’ compensation, and state and local leave requirements. Manage confidential records, vendor relationships, employee communications, documentation, payroll coordination, and return-to-work processes. Support emergency employee continuity, vaccination records, workplace safety matters, and benefits administration. Ensure compliance with employment and benefits laws while improving leave processes, reporting, and employee experience.

Leads Community Engagement strategy and operations by building scalable operating systems, governance processes, performance frameworks, playbooks, and cross-functional execution models. Coordinates priorities, budgets, staffing, risks, dependencies, partnerships, analytics, and technology initiatives across departments and geographies. Translates performance data and field feedback into action plans, supports executive decision-making, and drives process improvements that strengthen participant access, community partnerships, quality, and program scalability.

Designs, develops, and maintains scalable cloud-based data pipelines and enterprise data solutions. The role covers data ingestion, transformation, orchestration, integration, data lakes, cloud warehouses, batch and streaming processes, performance optimization, governance, and lineage. The Senior Data Engineer collaborates with analysts, data scientists, engineers, stakeholders, contractors, and vendors while mentoring junior staff. Core tools include Databricks, dbt, Azure Data Factory, SQL, Python, and Azure.

Leads strategic operations integration for Global Study Operations by aligning cross-functional priorities, managing governance and workstreams, developing operating processes, monitoring KPIs and dashboards, and supporting executive decision-making. The role drives complex initiatives from strategy through implementation, coordinates budgets, risks, timelines, and resources, and improves accountability and execution across departments. It is remote within the United States and requires up to 30% international travel.

Leads the design, implementation, and optimization of enterprise infrastructure, cloud services, identity, endpoint management, and monitoring systems. Drives automation, security hardening, incident response, root-cause analysis, migrations, disaster recovery, and operational improvements. Mentors junior administrators, maintains technical documentation, manages vendor escalations, and supports cross-functional technology initiatives. Requires strong infrastructure, cloud, security, troubleshooting, scripting, observability, and IT service management expertise.

Manages strategic enterprise accounts in the life sciences SaaS market, driving account growth, stakeholder alignment, partnerships, cross-selling, and territory sales strategy. Develops pipeline, conducts consultative discovery, delivers product demonstrations, and collaborates with marketing, SDRs, customer success, and executives. Requires experience selling complex SaaS solutions to biotech, pharmaceutical, clinical research, CRO, and health-tech organizations, with up to 40% national travel.

Develop statistical and machine learning models for clinical trial enrollment, patient matching, forecasting, and trial management. Monitor model performance and bias, build scalable data pipelines using AWS services and dbt, and ensure compliance with HIPAA, GDPR, and privacy standards. Collaborate with ML engineering, product, and clinical research stakeholders to integrate models into practical healthcare solutions.

Supports the global sales organization through pricing, proposal development, value analysis, contract structuring, and go-to-market strategy. Partners with sales, finance, legal, delivery, and operations teams to develop pricing models, quantify customer value, structure deals, translate proposals into contracts, and support negotiations. Builds client relationships, conducts market analysis, and creates compelling financial and value narratives for software and services opportunities.