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

Provides comprehensive administrative support to senior leaders, including complex calendar management, meeting and event coordination, domestic and international travel arrangements, invoice and expense processing, communications follow-up, recordkeeping, and administrative project support in a fast-paced biotech or life sciences environment.

Coordinates leadership development programs for US Commercial teams, including training delivery, cohort communications, logistics, learner engagement, reporting, and continuous improvement. Manages project plans, timelines, vendors, stakeholders, attendance, feedback, and program impact metrics. Partners with Compliance, Legal, internal training teams, and external vendors to deliver effective and compliant virtual and in-person learning experiences.

Coordinate technical delivery for GenAI applications across engineering, product, data/AI, platform, security, and vendor teams. Manage milestones, dependencies, risks, Jira backlogs, Confluence documentation, Agile ceremonies, UAT, release readiness, acceptance tracking, and delivery communications. Translate approved requirements into actionable work items and document technical architectures, APIs, data flows, integrations, and processes while escalating blockers and maintaining cross-team visibility.

Develop, deploy, and industrialize machine learning solutions using structured and unstructured data across commercial and medical domains. Translate business challenges into data-driven solutions while ensuring data quality, governance, model validation, regulatory compliance, scalability, and reliability. Build end-to-end models from prototyping through production monitoring, collaborate with technical and business stakeholders, and apply predictive modeling, classification, regression, forecasting, and related analytics techniques.

Develop shared customer representations from longitudinal transaction, sales, and interaction data. Define modeling objectives, train and evaluate encoder and embedding models, assess downstream value, and deliver production-ready machine learning systems. Responsibilities include representation learning, temporal modeling, inductive representations, robust evaluation, leakage and cold-start analysis, calibration, drift monitoring, subgroup performance, and research-to-production deployment. Present findings and recommendations to senior stakeholders while addressing privacy, fairness, and re-identification risks.

Build production-grade AI and NLP systems that verify generated claims against scientific, clinical, regulatory, and reference materials. Responsibilities include hybrid evidence retrieval, claim decomposition, entailment and contradiction detection, confidence scoring, abstention logic, human review workflows, evaluation dataset creation, error analysis, and traceable citation-based decisions. Collaborate with Medical, Legal, Regulatory, and scientific stakeholders to deliver high-stakes, reproducible AI solutions.

Leads strategy, roadmaps, and delivery for AI/ML and Generative AI products supporting commercial, medical, and government affairs. Creates product requirements, manages backlogs, partners with technical and business teams, builds ROI cases, drives experimentation and launches, and oversees responsible AI governance, scalability, compliance, and post-launch optimization. Requires strong executive communication and experience managing enterprise AI initiatives.

Design, configure, and optimize end-to-end SAP SD Order-to-Cash processes. Run design workshops, translate requirements into functional/technical designs, configure and test SAP SD solutions, support integrations (IDoc, XML, APIs, CIF) with MM/WM, FI/CO, PP and external systems, produce documentation, and support full lifecycle implementations through go-live and hypercare in a regulated global environment.

Supports laboratory computing environments, scientific instruments, laboratory software, connected workstations, and IT infrastructure in a regulated biotech or pharmaceutical setting. Responsibilities include deployments, upgrades, troubleshooting, network connectivity, security patching, compliance, CMDB and inventory maintenance, vendor coordination, laboratory expansions, technical documentation, and IT project leadership.

Manage day-to-day communications team operations: coordinate calendars and events, support internal engagement, develop processes and documentation, enable cross-functional collaboration, and drive continuous improvement to increase efficiency.