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

YesterdaySaved
Remote
United States
82K-108K Annually
Mid level
82K-108K Annually
Mid level
Analytics
Owns new customer acquisition for DTN’s agriculture solutions, including prospecting, lead generation, pipeline development, consultative selling, executive engagement, proposals, negotiations, and closing. The role requires transitioning won customers to Account Management, maintaining Salesforce records, and collaborating with Marketing, Finance, Operations, and Sales. Success depends on B2B SaaS sales expertise, agriculture industry knowledge, networking, and consistently achieving new-business targets.
Top Skills: Data AnalyticsSaaSSalesforceSoftware
2 Days AgoSaved
Remote
United States
110K-145K Annually
Senior level
110K-145K Annually
Senior level
Analytics
Lead a platform engineering team building AWS-based distributed systems, APIs, SDKs, CLIs, developer tooling, and managed services. Responsibilities include people management, technical direction, architecture, platform adoption, security, reliability, observability, incident response, and cross-functional roadmap delivery. The manager will guide secure multi-account and multi-tenant architectures while supporting AI-enabled engineering practices and platform capabilities.
Top Skills: Ai AgentsAPIsAWSClisContainer ServicesInfrastructure As CodeLlmsManaged Data StoresNode.jsSdksServerless TechnologiesTerraformTypescript
2 Days AgoSaved
Remote
United States
85K-113K Annually
Mid level
85K-113K Annually
Mid level
Analytics
Build and evolve DTN’s cloud-native Operational Decisioning Platform. Responsibilities include developing APIs, SDKs, CLIs, managed services, reusable modules, infrastructure-as-code, automated tests, and distributed-system capabilities. The role uses AWS, Terraform, observability, security, and event-driven technologies while supporting on-call operations. Engineers will also contribute to AI-enabled platform capabilities, collaborate with senior engineers, participate in design reviews, and progressively take ownership of moderately complex features.
Top Skills: Ai AgentsAngularAWSDynamoDBEvent-Driven ArchitectureGitGraphQLJSONLlmsNode.jsPostgresPythonReactRestServerless ComputingSQLTerraformTypescriptVue
14 Days AgoSaved
Remote
United States
115K-149K Annually
Senior level
115K-149K Annually
Senior level
Analytics
Own the strategy, roadmap, and investment priorities for foundational agricultural data products, including pipelines, data models, APIs, and shared services. Partner with engineering, architecture, data science, and product teams to deliver scalable, governed, high-quality data capabilities. Prioritize initiatives based on customer and commercial value, define success metrics, resolve cross-team tradeoffs, and expand data support for analytics, predictive modeling, machine learning, and AI applications.
Top Skills: APIsArtificial IntelligenceCloud InfrastructureData GovernanceData LakesData ModelingData PipelinesData WarehousesEtl/EltGeospatial DataMachine Learning
29 Days AgoSaved
Remote
United States
70K-82K Annually
Mid level
70K-82K Annually
Mid level
Analytics
Manage approximately 150 mid-market agriculture customers throughout the post-onboarding lifecycle. Drive product adoption, customer value realization, renewals, retention, and expansion opportunities through success plans, business reviews, health monitoring, proactive outreach, and risk mitigation. Coordinate training, manage escalations, maintain forecasts and account records, and communicate customer feedback internally. Partner with Sales, Product, Support, and Operations to strengthen relationships and protect recurring revenue.
Top Skills: Business Intelligence ToolsCRMCustomer Success PlatformsSaaSSalesforce
One Month AgoSaved
Remote
United States
110K-146K Annually
Senior level
110K-146K Annually
Senior level
Analytics
Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.
Top Skills: Asynchronous Event-Driven SystemsAWSAzureC++Ci/CdDevOpsDistributed SystemsDockerGCPGoJavaKubernetesMicroservicesPythonRelational DatabasesRest ApisSQLWorkday Finance
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