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

The Lead Digital Product Manager oversees product security workstreams, ensuring effective delivery through collaboration, mentoring product managers, and developing enterprise roadmaps.

Lead a team delivering legal technology and AI solutions for Allstate's Legal Department. Define product vision, strategy, and roadmap for legal systems (CLM, ELM, intake, automation). Evaluate vendors and agent platforms, run pilots, design guardrails for LLM/agentic systems with human-in-the-loop, and drive process redesign to improve scalability, compliance, and measurable business outcomes while mentoring and developing team members.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

The P&C Actuary Senior Consultant II executes and manages reserving projects, utilizing statistical standards and methodologies to inform insurance business decisions and strategies, mentoring others along the way.

The P&C Actuarial Assistant will assist in reserving insurance business projects using actuarial standards, analyze data, and communicate results to management.

Operate and scale the Continuous Threat Exposure Management (CTEM) platform: manage integrations, data ingestion and normalization, dashboards, RBAC and automation; correlate findings into exposure intelligence; build workflows and reporting; drive adoption and remediation orchestration across security and engineering teams.

Identify and prioritize cloud exposure risks across AWS, Azure, and GCP by correlating vulnerability and posture signals, mapping attack paths (IAM, control planes, data access), providing remediation guidance, validating fixes with platform teams, and using scripting and telemetry to improve prioritization and reduce exploitable cloud exposures.

Identify, analyze, and prioritize exploitable infrastructure exposures across servers, virtualization, containers, and Kubernetes. Correlate telemetry to map attack paths, produce remediation guidance, validate fixes with platform teams, and accelerate mitigation using scripting and AI‑assisted analysis.

Identify and prioritize endpoint and identity exposure risks (EDR, AD/Entra, PAM, MFA), map attacker paths, produce remediation plans, validate fixes, and partner with IAM and endpoint teams to reduce exploitability and improve posture.

Design and implement AI-powered data pipelines and LLM-based mapping to parse, normalize, and validate structured and unstructured data. Build mapping logic, ingestion templates, and load-ready outputs; integrate ML/AI solutions with enterprise systems (APIs, databases, Azure); validate accuracy with stakeholders; document for scalability and production readiness while reducing manual mapping and improving data quality.