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

The Enterprise Account Executive focuses on selling Apromore's AI-driven process intelligence solutions to enterprise clients, driving sales cycles and fostering client relationships.

The Lead Software Engineer will oversee architecture and design of platform services, drive technical strategy, mentor engineers, and enhance scalable, robust digital experiences at Salesforce.

Architect and develop end-to-end Salesforce demo environments and prototypes for keynote events, using Apex, Lightning web components, flows, and platform automation. Partner with executives, marketing, design, product, and engineering teams to translate concepts into live demonstrations. Build reusable toolkits, guides, and training for global teams, and own technical readiness, rehearsals, and live event support under tight deadlines.

Leads end-to-end development of security data pipelines, APIs, services, and endpoint protection platforms. Architects scalable, reliable, and hardened cloud security infrastructure; creates design documentation, monitoring, alerting, and vulnerability defenses. Collaborates with security, infrastructure, and engineering teams, supports on-call operations, mentors engineers, and communicates technical strategies to executives and customers. The role also develops automated systems for threat intelligence, security reporting, and intrusion prevention across public and private cloud environments.

Develop and secure large-scale software platforms and security data pipelines. Design APIs, distributed systems, endpoint protection platforms, and cloud security infrastructure; improve reliability through monitoring, alerting, hardening, and incident response. Audit infrastructure, address vulnerabilities, consume threat intelligence, and automate security solutions. The role includes architecture ownership, cross-functional collaboration, technical documentation, mentoring engineers, customer and executive presentations, and rotating on-call support.

Design, build, and maintain Slack enterprise security and compliance features, including SSO, SCIM, EKM, DLP, data retention, and audit logs. Own core security systems, make architecture and technical decisions, improve infrastructure, resolve production issues, and ensure high availability. Collaborate with product managers, designers, support teams, and engineers while delivering maintainable code, conducting code reviews, mentoring engineers, and advancing engineering standards.

Lead post-implementation adoption of AI agents by building customer Centers of Excellence, training champions, monitoring telemetry, and driving consumption. Coordinate cross-functional teams and partners, identify high-impact use cases, remove adoption barriers, and quantify business ROI. Serve as voice of the customer to Product and Engineering to influence roadmap and ensure governance, scalability, and sustained value realization.

Develop and operate Salesforce’s API Platform runtime infrastructure, including service-mesh proxies, routing, security policies, and high-availability network services. Build and maintain software using Go, Java, or C++ in Linux environments; manage Kubernetes clusters; automate cloud infrastructure; and apply CI/CD, Infrastructure as Code, testing, telemetry, and operational best practices. Participate in on-call support and resolve complex production issues.

Own Piper, an AI SDR’s conversational intelligence and behavior across chat, voice, video, and email. Define testable requirements, establish quality standards, measure agent performance, incorporate customer feedback, and drive continuous product improvements. The role partners closely with AI engineering, design, platform, product, and customer-facing teams while using AI tools throughout the product lifecycle.

Leverage data to support Slack growth initiatives, identify customer behavior trends, forecast performance, and uncover growth opportunities. Partner with Growth, Data Engineering, Strategy, Go-To-Market, Product, Design, and Engineering teams. Build analytical frameworks, core data models, self-service tools, and reports, while communicating insights and recommendations to senior leadership.