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

Process high-volume lien perfection matters from intake through completion, including document review, legal and factual research, correspondence, deadline tracking, follow-up, case-file maintenance, and escalation of deficiencies. The role also supports payment reconciliation, deposits, refunds, and basic financial administration. Candidates must manage competing deadlines, follow detailed procedures, communicate professionally with stakeholders, and maintain confidential legal, healthcare, insurance, and financial information.

Leads enterprise LifePRO, TPA, digital platform, and AI-enabled transformation programs from planning through deployment, stabilization, and adoption. Oversees architecture, engineering, integrations, data migration, testing, release, and production governance while aligning diverse applications to a unified strategy. Engages executive clients, manages risks and escalations, builds global delivery teams, and drives AI adoption, modernization, operational excellence, and permanent defect reduction across complex insurance ecosystems.

Enterprise new-logo hunter selling F&A BPO, transformation, and analytics to CFOs, Controllers, VPs and CPOs. Own full sales cycle: build pipeline, shape transformation narratives, close $3M+ ACV multi-year deals, negotiate contracts, and transition to delivery. Represent EXL at finance forums and develop advisor/consultant relationships. Remote US role with travel up to 40%.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.

Develop, deploy, test, and support secure enterprise web applications and healthcare reporting solutions. Responsibilities include full-stack design and development, production issue resolution, SQL and report performance tuning, SSRS and SSIS integration, architecture, testing, deployment, data governance, security, and collaboration with business and technical teams. The role also contributes to scalable solution design, project delivery, mentoring, and understanding payer and provider healthcare analytics.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Leads account management for insurance and digital services, overseeing client relationships, product delivery, team performance, and client satisfaction. Develops growth strategies, identifies new business opportunities, implements account management processes, and aligns internal teams with client needs. Monitors market trends, uses analytics for decision-making, mentors account managers, and represents the company at industry events.

Leads the account management function for insurance solutions by managing account managers, developing retention and growth strategies, nurturing key client relationships, coordinating tailored solutions with consulting teams, monitoring client feedback, ensuring service quality, conducting performance reviews, generating new business, and representing the company at industry events and client meetings.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.