Top Tech Jobs & Startup Jobs in San Francisco, CA

Supports Salesforce administration, configuration, automation, data quality, security settings, user access, and platform optimization. Gathers business requirements, configures Flow and other Salesforce features, monitors support tickets, performs first-level issue triage, maintains documentation, and collaborates with senior team members. The role also uses Claude to build automations for internal process management and monitoring.

Define enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, OLTP, OLAP, AI, and vector-store use cases. Establish standards for data quality, governance, lineage, access, observability, SLAs, and modeling. Serve as a technical escalation point, influence roadmaps, implement AI-enabled workflows, and mentor engineers through hands-on architecture, coding, reviews, and technical guidance.

Own carrier connectivity for Connected Trading, solving complex integration problems across product and engineering teams. Define platform and API solutions involving data contracts, authentication, error handling, and system failure modes. Set priorities, coordinate delivery, measure connectivity performance, support carrier onboarding, and partner with product, engineering, agency, and carrier stakeholders. The role requires strong technical product management, analytical ability, communication skills, and experience delivering cross-functional solutions through production.

Leads full-cycle enterprise sales for insurance technology and AI solutions, managing prospecting, discovery, evaluations, proofs of concept, negotiations, and account expansion. Builds strategic account plans, develops executive relationships, translates technical capabilities into business value, coordinates cross-functional teams, manages pipelines and forecasts in Salesforce, and supports retention. The role focuses on large insurance carriers, MGAs, and brokers and requires frequent U.S. travel of up to 50%.

Partners with Product leaders to solve ambiguous business and product problems, drive cross-functional outcomes, support roadmap and go-to-market planning, define success metrics, improve product telemetry, synthesize data and customer insights, apply AI tools, standardize product operations practices, and coach product teams.

Leads and develops a Solution Consulting team supporting Applied’s Epic portfolio. Manages performance, coaching, resource strategy, demonstrations, discovery sessions, strategic opportunities, and sales collaboration. Partners with Product, Marketing, Services, and Support to ensure effective enablement and client handoffs. Requires insurance or SaaS expertise, pre-sales experience, people management, AI product knowledge, and up to 25% nationwide travel.

Supports and optimizes People Operations processes across the employee lifecycle, including onboarding, compensation changes, leave administration, and offboarding. Improves workflows through automation and self-service solutions, partners with cross-functional teams and vendors, maintains process documentation and audit-ready controls, and leads operational improvement initiatives. Analyzes service trends and drives adoption of new processes and tools.

Senior Product Manager responsible for defining and executing strategy for benefits products. Owns roadmaps, prioritization, requirements, release planning, market research, business cases, product activation, adoption metrics, and workflow automation. Partners with engineering, UX, customer experience, sales, customers, and leadership to deliver data-driven SaaS solutions, integrations, AI capabilities, and customer value. Mentors junior product team members and supports scalable, secure product development.

Conduct consultative pre-sales activities for Applied Epic and related insurance software solutions. Develop product demonstrations, assess client goals, prepare proposals, coordinate site visits, respond to requirements, and manage sales-cycle handoffs. Collaborate with sales teams and clients to demonstrate business value, technology alignment, growth opportunities, and cost savings. Requires insurance agency or brokerage expertise, SaaS sales experience, AI product knowledge, strong presentation skills, and up to 25% travel.

Lead and grow a global data engineering team while building foundational cloud data platforms and scalable pipelines on GCP. Oversee data modeling, DataOps, reliability, governance, AI-ready data, CI/CD, monitoring, and stakeholder delivery. Establish engineering standards, SLAs, quality controls, architecture practices, and AI-assisted development workflows. Partner across business and technology teams to enable self-service analytics and data-driven decision-making.