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

Drives Salesforce platform adoption among ISV partners through value-based technical selling, customized demonstrations, proof-of-concepts, AI-assisted prototypes, technical content, solution scoping, and roadmap guidance. Partners with account managers, Product, and Engineering to identify opportunities, translate technical capabilities into business value, and develop innovative agentic solutions.

Leads technical pre-sales engagements with Salesforce ISV partners by translating platform capabilities into business value. Designs customized demonstrations, proof-of-concepts, AI-assisted prototypes, pitch videos, solution briefs, and architecture diagrams. Advises partners on innovation opportunities, application roadmaps, technical scope, and platform adoption. Collaborates with Partner Account Managers, Product, and Engineering while qualifying opportunities, troubleshooting demos, and communicating effectively with technical and executive audiences.

Staff and Principal Product Data Scientists will use advanced analytics, experimentation, causal inference, machine learning, and large-scale data technologies to guide Slack product strategy. They will define success metrics, build self-service reporting and data models, evaluate product adoption drivers, identify growth opportunities, and help develop Slack’s agentic data delivery platform. The role partners closely with Product, Design, Engineering, Product Research, and go-to-market teams while communicating insights to executives and cross-functional stakeholders.

Build and operate resilient, highly available distributed systems and cloud infrastructure at scale. Responsibilities include developing automation tools, microservices, Infrastructure-as-Code with Terraform, and production-grade software using AI-assisted workflows. The role involves open-source contributions, system design, performance optimization, monitoring, incident response, technical debt reduction, and on-call support. Candidates must bring backend development experience, strong programming skills, critical-service ownership, database knowledge, advanced prompt engineering, and an AI-first engineering approach.

Lead design, development, testing, and operations for Salesforce Edge Control Plane and Edge Intelligence services. Build resilient distributed systems, microservices, cloud infrastructure, real-time analytics, and self-healing services. Drive reliability, performance, automation, telemetry, monitoring, and operational excellence while resolving complex technical issues and delivering functionality in an agile environment.

The role involves engaging with large enterprise customers, managing strategic accounts, building relationships, and driving sales of Salesforce's CRM products in the Tech and Media sectors.

The role entails engaging with existing customers and new leads to drive sales of the Salesforce Customer 360 platform while building strong relationships with key stakeholders.

Counsel will lead affirmative litigation, plaintiff-side claims, arbitrations, and enforcement matters from investigation through resolution. The role involves developing case strategy, managing outside counsel and resources, supporting defensive litigation, evaluating risks, controlling budgets, and integrating AI tools into legal research and case analysis. Candidates will provide pragmatic legal advice while handling complex disputes involving technology, confidential information, unfair competition, fiduciary duties, and restrictive covenants.

Build and maintain production-ready distributed filesystem components and frameworks for Salesforce’s multi-tenant SaaS cloud platform. Design scalable microservice architectures, algorithms, and workload-distribution systems used by millions of users. Responsibilities include coding, code reviews, mentoring junior engineers, and providing technical guidance while applying software development best practices and AI throughout the SDLC.

Serves as a strategic HR business partner to senior Employee Success executives. Advises on organizational strategy, transformation, AI integration, leadership coaching, succession, compensation, workforce planning, engagement, retention, and executive hiring. Uses workforce analytics to connect employee metrics with business outcomes, coordinates Legal, Finance, and HR stakeholders, manages location strategy, and advises on global data sovereignty and talent development.