Top Tech Jobs & Startup Jobs in San Francisco, CA

Support day-to-day Salesforce administration: gather requirements, configure platform (flows, fields, layouts, record types, automation), maintain data quality and security settings, triage support tickets, document processes, and collaborate with senior team members to deliver scalable user-focused solutions.

Serve as a technical pre-sales consultant for carrier customers: lead operational and technical discovery, map architectures and integrations, deliver demos and POCs, build sandbox configurations using APIs and scripting, respond to RFIs/RFPs, coordinate site visits, and support sales hand-offs to drive adoption and ROI.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-service analytics (Pendo, BigQuery, Tableau). Partner cross-functionally to translate user behavior into roadmap recommendations, embed measurement in product lifecycle, surface growth opportunities, and scale AI-powered analytics capabilities while reporting to Product Operations leadership.

Lead strategy and delivery of AI-powered, agentic features for a SaaS insurance product area. Drive roadmap, define success criteria, build business cases, collaborate with engineering and data science, run experiments, track KPIs, and mentor junior PMs to maximize adoption, ROI, and customer value.

Lead large-scale DevOps/SRE programs: prioritize and plan cross-functional work, map and manage complex dependencies, surface risks and status to leaders, drive resolution of blockers, run integrated planning and retrospectives, and improve program processes and communication.

Manage and qualify inbound leads, nurture prospects through early sales stages, act as primary contact to connect clients with Applied Systems solutions, maintain CRM, prioritize multiple leads, and develop toward Inside Sales with training and career advancement opportunities.

Serve as primary post-sale owner for strategic carrier and broker accounts: drive adoption and utilization of Cytora's AI platform, build senior relationships across underwriting, operations, and IT, run QBRs and executive reviews, identify renewal and expansion opportunities, coordinate cross-functionally, and travel up to 50% for onsite enablement.

Design and validate product experiences for EZLynx users: conduct user research and usability testing, create wireframes, mockups and prototypes, collaborate with product and engineering, use analytics to measure solutions and promote product consistency.

Lead enterprise data architecture, define large-scale warehouse/lakehouse and streaming platforms, set standards for data quality/governance/modeling, embed AI/agent workflows, build observability and incident-response for pipelines, mentor engineers, and influence cross-functional roadmaps.

Lead product analytics end-to-end: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link product outcomes to revenue, and translate data into strategic recommendations for product and GTM decisions.