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

The Software Engineer will develop vertical workflows, implement scalable service architectures, ensure production-grade systems, evaluate AI performance, and collaborate cross-functionally to enhance engineering efficiency with AI tools.

Ensure reliability and performance of Plaud.ai's AI products at scale by designing and operating cloud-native systems, owning production reliability and incident response, building observability and automation, defining SLOs/SLIs, driving postmortems, and partnering with product and engineering teams to improve operational maturity.

Build and operate integrations and automations using iPaaS and APIs, ship production AI/LLM agents and workflows, implement identity-driven provisioning (SSO/SCIM/OAuth), and deliver monitored, reliable automations with runbooks while partnering across teams to scale systems.

Lead company-wide AI and digital transformation programs: define JTBD catalog, build AI agents and automations, own transformation roadmap, drive enterprise system migrations (Rippling, NetSuite, identity, Slack, Notion, ITSM), and align cross-functional stakeholders to deliver adoption and business impact.

Lead data science for a new 0->1 B2B product: define strategy, frame high-impact questions, run experiments, design metrics/telemetry and dashboards, align global analytics, and translate insights into product decisions.

Lead ownership and administration of HR and finance systems (NetSuite, Rippling, Deel); define data contracts and integrations; drive migration, selection, and adoption (NetSuite focus); ensure controls, compliance, and auditable reporting across global entities.

Lead end-to-end user research for Plaud's hardware-software products: design studies, recruit participants, run in-context and ergonomic evaluations, synthesize mixed-methods findings, benchmark methods, manage research roadmap, and deliver decision-ready insights that drive product and growth.

Develop and optimize embedded firmware for AI wearable prototypes, bring up new hardware platforms, debug and validate system functionality, collaborate with electrical/mechanical teams, implement low-power and wireless (BLE/Wi‑Fi) features, and prepare firmware for handoff to the Shenzhen engineering team.

Design, build, and debug electronic systems and AI wearable prototypes, perform schematic design and board bring-up, integrate sensors and wireless, validate systems, and prepare designs and documentation for handoff to the Shenzhen engineering team.

Lead cloud and infrastructure security and detection engineering: deploy SIEM, author MITRE-mapped detections, build cloud security posture and IaC gates, own incident response playbooks and SOC 2 Type II operational evidence, and drive vulnerability remediation and security reporting.