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

The role focuses on improving the startup customer journey, managing onboarding, and creating engagement programs. It involves cross-functional collaboration, tracking performance metrics, and enhancing customer experience.

Partner with finance and business leaders to build financial models, drive forecasting and reporting, surface insights, and implement AI-driven automation to scale financial processes. Deliver ad hoc analyses, capacity and benefits modeling, and translate results into recommendations for executives.

The role involves designing, implementing, and measuring the customer journey post-sale, leading cross-functional operations across GTM, managing teams in Sales Ops, Partner Ops, and Customer Success Operations, and ensuring pipeline health and operational metrics are met.

Build and operate high-signal detections across cloud, identity, endpoints, and SaaS. Improve detection platforms, automation, and triage tooling (including LLM-based workflows). Translate threat TTPs into telemetry and detections, participate in incident response/on-call, track metrics like MTTD and alert quality, and drive detection engineering improvements across the org.

Lead and scale technical recruiting for Engineering, Product, and Design teams while integrating AI tools to enhance recruitment processes and strategies.

The Sales Operations Lead will shape go-to-market strategies in the AMER region, support sales leadership, optimize processes, and deliver actionable insights to drive growth in a high-growth SaaS environment.

Design and implement technical solutions for customer engagements, focusing on large-scale enterprise deployments while collaborating with various teams.

The AI Applications Engineer will prototype AI-driven solutions, collaborate with stakeholders, and create reusable components to address business challenges.

Partner with leadership to design and execute people strategies across talent planning, org design, retention, and change management. Provide manager coaching, performance and compensation support, run 360 reviews, surface people-data insights, and improve people programs and operating rhythms to retain and develop talent.

Lead the rollout and ongoing ownership of Go as a first-class backend platform at production scale. Build reliable, scalable service patterns, developer tooling, golden paths, and guardrails; improve CI, deployments, observability, and developer workflows; and deliver a Go platform v1 that enables production teams to operate services at scale within 90 days.