Top Tech Jobs & Startup Jobs in San Francisco, CA

Join the IT AI Automation team to build and harden micro-apps and AI integrations on a governed GCP platform. Contribute to bug fixes, small features, code and design reviews, monitoring, and apply foundational software development and security practices. Gain hands-on experience with Python, SQL, CI/CD, and AI tools while supporting deployments, secrets management, testing, and documentation.

Design, build, and optimize BigQuery-based data models and ETL processes on GCP. Implement BigQuery procedures/functions, manage storage/partitioning/clustering, ensure data quality, collaborate with data scientists and engineers, document designs, and improve data lifecycle and reporting performance.

Lead technical pre-sales for carrier prospects: perform operational and technical discovery, map architectures and integrations, deliver demos and POCs, build sandbox configurations using APIs and Python, author RFI/RFP responses, coordinate site visits, and hand off to implementation while presenting to technical and executive stakeholders. Role is remote in North America with up to 50% travel.

Lead product analytics end-to-end: define metrics and measurement frameworks, analyze user behavior and product performance, build dashboards and self-service analytics, synthesize internal and market data, and deliver strategic recommendations to influence product roadmap and business outcomes while partnering cross-functionally.

Lead and build a product analytics function, define KPI and instrumentation standards, and deliver self-service analytics using Pendo, BigQuery, and Tableau. Partner across Product, Engineering, Data, and GTM to surface product insights, embed measurement into lifecycle, influence roadmap priorities, and scale AI-powered analytics capabilities while growing a high-performing team.

Lead intake, roadmap, and governance for an internal AI automation/platform team. Harden and operationalize business-built AI apps on a shared GCP platform, define quality and responsible-AI standards, run buy-vs-build decisions, manage stakeholders, drive adoption, and measure outcomes and AI economics.

Support daily administration and optimization of the Salesforce platform: gather requirements, configure Flow, fields, layouts, record types and security, maintain data quality, triage support tickets, document processes, and collaborate with senior admins to deliver scalable, user-focused solutions.

Lead portfolio-level strategy and operating cadence for Product and Engineering: prioritize roadmaps, connect work to financial goals, define outcome reporting, enable cross-functional tradeoffs, and drive critical initiatives with E-Team visibility.

Design, deploy, and operate enterprise network infrastructure across GCP, on-premises, and hybrid environments. Manage cloud networking (VPCs, VPNs, routing, firewalls, load balancing, DNS, IPAM), administer F5 BIG-IP, troubleshoot BGP/IPSec, build IaC and automation with Terraform, GitLab CI/CD, and Ansible, monitor network performance, maintain documentation and runbooks, collaborate across teams, and participate in on-call rotations.

Build, harden, deploy, and operate LLM-powered micro-apps and agents on a governed GCP platform. Integrate AI with business systems (Salesforce, Slack, NetSuite), implement CI/CD, secrets and identity controls, monitoring, and automated maintenance. Create retrieval pipelines, evaluation and observability for model quality, and partner with stakeholders to move proofs of concept into production.