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

Lead design, development, and production deployment of ML models and GenAI/LLM solutions to optimize clinical trial workflows. Build scalable pipelines, monitoring, and CI/CD for robust production use. Collaborate cross-functionally, mentor junior engineers, and communicate technical results to technical and non-technical stakeholders.

Perform outbound B2B cold calls to qualify leads and set demo appointments for Account Executives. Follow and adapt outreach scripts, log activity in the CRM, and collaborate with Sales and Marketing to improve outreach. Work EST hours remotely, meet quotas, and support expansion into multiple international markets.

Assist in developing and maintaining cross-platform Flutter apps for Android and iOS, implement UI/UX with Flutter widgets, integrate Firebase and REST APIs, debug and optimize performance, and collaborate with the team while staying current with Flutter/Dart technologies.

Partner with divisional leaders to deliver HR strategy, organizational design, leadership development, performance management, benefits administration, dispute resolution, and HR metrics. Drive HR programs, intake and triage employee issues, ensure policy compliance, coordinate projects (open enrollment, audits), and support culture and workforce planning across Western US operations.

The Senior Azure Data Consultant will build and maintain data pipelines, develop lakehouse solutions, optimize ETL processes, and support analytics capabilities in a Microsoft Fabric environment.

Own the technical customer relationship for a named account: define product/lease requirements, manage Engineering Change Requests, develop tailored AI data center solutions across compute/GPU/storage/networking, align delivery with internal TPM/BTM teams, influence product roadmap, and support lead generation and solution pitches. Regular travel (~25-30%) and cross-functional leadership required.

Lead Conversational AI Developer responsible for developing chatbots and virtual assistants, integrating AI technologies, and improving user interactions through data analysis and software development.

Build and own the reporting and insight layer: write optimized Redshift queries, build dashboards, monitor model feedback signals, triage and prioritize investigations for data science, maintain ETL pipelines ingesting semi-structured data, and enable Customer Success with clear metrics and onboarding checks. Move into model validation and automation to scale analytic workflows.

Support CEO and leadership on market intelligence, financial modelling, go-to-market strategy, partnerships and PMO. Run competitor analysis, size segments, build investor-ready business plans, craft value propositions and support partner negotiations while tracking cross-functional OKRs and dashboards.

Lead technical pre-sales for an infrastructure automation platform: run discovery, design tailored solutions and PoCs, own technical customer relationships, qualify deals, partner with alliances, feed product with field insight, and produce technical content to grow market presence.