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

Design and build scalable enterprise applications in C#/.NET (APIs, microservices) and integrate AI capabilities (Python, LLMs, RAG, vector DBs, agentic frameworks). Own CI/CD, Azure DevOps workflows, containerized deployments, and collaborate across teams to deliver AI-enabled operational automation and agent integrations.

The Sr. Consultant - Invoice Review will analyze legal invoices, providing insights to drive cost-saving measures for clients while managing multiple projects.

Support senior client services through project coordination and execution for eDiscovery matters. Manage client requirements, intake, Relativity platform tasks, reporting, budget controls, handoffs, and client communication to ensure high-quality, timely delivery and continuous process improvement.

Design, build, and maintain end-to-end ML and data solutions: analyze and preprocess client data, implement ML and deep learning models, deploy LLM/GenAI solutions, build data pipelines, monitor model performance, integrate APIs, collaborate with cross-functional teams, and communicate insights to stakeholders.

Manage and oversee cybersecurity reviews, vulnerability assessments, data privacy, and SIEM processes. Collaborate with IT/security teams, provide technical support, analyze security data, document protocols, ensure governance compliance, and coach security staff to improve security posture and operational performance.

Lead a multidisciplinary engineering team to build AI agents and accelerators for large-scale legal document review. Own architecture, delivery, evaluation, governance, scalability, and operational outcomes while partnering with product, legal, and operations stakeholders to ensure reliable, secure, and accountable AI workflows.

Lead and oversee legal operations consulting teams to deliver projects on time and on budget. Develop and implement consulting plans, coordinate stakeholder requirements, monitor progress, mitigate risks, report to senior management, and foster collaborative high-performing teams focused on operational efficiency and strategic alignment.

Manage internal audit projects, conduct risk assessments, evaluate internal controls, ensure regulatory compliance, and recommend process improvements. Partner with senior leaders, collaborate with external auditors, support remediation and risk management, and lead and mentor audit team members.

The Director of Product Development will lead engineering teams, drive cloud operations for eDiscovery, manage product development, and ensure application performance while collaborating with stakeholders.

Sell litigation support services (eDiscovery, document hosting/coding, managed review) within an assigned territory. Build trusted client relationships, identify upsell opportunities, hunt for new customers, deliver presentations and demos, manage accounts and billing coordination, meet revenue and daily sales targets, and collaborate with internal teams to ensure high customer satisfaction.