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

Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
180K-250K Annually
Mid level
180K-250K Annually
Mid level
Artificial Intelligence • Software
Model and track fleet capacity (power, space, cooling, compute), forecast constraints, connect deployment schedules to sellable capacity, run scenario analyses to inform allocation and deal decisions, and build executive-ready reporting.
Top Skills: HexLookerPythonSQLTableau
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
224K-300K Annually
Mid level
224K-300K Annually
Mid level
Artificial Intelligence • Software
Build AI-powered internal tools and shared AI infrastructure (agents and skills), integrate LLMs with internal systems, design and ship web applications, and enable cross-functional adoption through documentation and support.
Top Skills: Agentic FrameworksAnthropic ApiAntigravityClaude CodeCursorGitGoInternal ApisJIRAMcp ServersNext.JsNotionOpen-Weight ModelsOpenai ApiPythonReactSalesforceSlackTypescript
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
272K-344K Annually
Senior level
272K-344K Annually
Senior level
Artificial Intelligence • Software
Own and scale a global payroll function end-to-end: build systems, processes, and team; ensure payroll accuracy, compliance, and timeliness across jurisdictions; handle payroll accounting, reconciliations, accruals, and month-end close; partner with Finance, Legal, HR, and Execs; support audits and international expansion.
Top Skills: AdpEmployer Of Record (Eor)Hris IntegrationsRipplingWorkday
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
208K-269K Annually
Mid level
208K-269K Annually
Mid level
Artificial Intelligence • Software
Build and operate GPU fleet infrastructure: metrics, alerting, Redfish/BMC tooling, repair and qualification pipelines, automation for failure detection through RMA, and ensure reliability, scalability, and observability for Kubernetes-orchestrated and bare-metal GPU deployments.
Top Skills: Agentic FrameworksBmcCadenceClaude CodeCursorGoGrafanaIpmiKubernetesLlm ApisMcp ServersPrometheusPythonRedfishTemporal
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
133K-158K Annually
Mid level
133K-158K Annually
Mid level
Artificial Intelligence • Software
The Workplace Lead ensures a positive office experience at Fluidstack by managing the day-to-day operations, vendor relationships, and employee feedback, focusing on creating a hospitable environment.
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Reposted 4 Days AgoSaved
In-Office
San Francisco, CA, USA
253K-295K Annually
Senior level
253K-295K Annually
Senior level
Artificial Intelligence • Software
Lead technical execution of large-scale network deployments: define ZTP and validation playbooks, set acceptance criteria, resolve escalations across links and fabrics, and automate turn-up processes to eliminate manual repetition.
Top Skills: GoInfinibandPythonRoceZtp
Reposted 4 Days AgoSaved
In-Office
San Francisco, CA, USA
245K-300K Annually
Mid level
245K-300K Annually
Mid level
Artificial Intelligence • Software
Lead product direction for ontology and data products that model and support compute production. Translate messy operational domains into data models, specs, and product surfaces; drive technical tradeoffs and ship end-to-end; run stakeholder discovery and validate impact; define and track success metrics to optimize product outcomes.
Reposted 5 Days AgoSaved
In-Office
San Francisco, CA, USA
135K-175K Annually
Mid level
135K-175K Annually
Mid level
Artificial Intelligence • Software
As a Revenue Manager, you will oversee the core accounting operations, manage financial records, and drive financial reporting as the company scales rapidly.
Top Skills: Erp SystemsExcel
Reposted 5 Days AgoSaved
In-Office
San Francisco, CA, USA
208K-263K Annually
Mid level
208K-263K Annually
Mid level
Artificial Intelligence • Software
Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.
Top Skills: ControlsDfmEnd EffectorsGd&TGripper DesignMechatronicsRack HardwareRoboticsServer Hardware
Reposted 5 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
199K-262K Annually
Senior level
199K-262K Annually
Senior level
Artificial Intelligence • Software
Own the steel category for structural and fabricated assemblies: source regional fabrication capacity, qualify fabricators for quality and throughput, negotiate raw material and fabrication pricing resilient to commodity swings, balance weekly loads across shops, and manage commodity exposure through indexing or hedging.
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