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

The Specialty Solutions Engineer will design and architect technical solutions in observability, partner with sales, and support customer engagements. Responsibilities include advising on solutions, developing relationships, and participating in pre-sales documentation.

Leads strategic client relationships and services growth for complex technology consulting engagements. Develops account strategies, identifies opportunities, shapes and closes large deals, presents proposals, and oversees cross-practice delivery. Serves as a senior trusted advisor while aligning scope, quality, staffing, economics, utilization, customer satisfaction, and business outcomes across cloud, infrastructure, application development, analytics, security, networking, and managed services.

Drive enterprise adoption of AI services-led solutions by developing sales strategies, building pipelines, advising C-level stakeholders, designing tailored engagements, presenting solutions, negotiating contracts, and closing complex professional or managed services deals. Collaborate with consulting, delivery, presales, engineering, marketing, and customer success teams while contributing market insights, sales enablement, and thought leadership.

Own a product module across strategy, discovery, requirements, roadmap, launch, and lifecycle measurement. Partner with users, clients, designers, engineers, marketing, operations, and platform success to define solutions and deliver intuitive experiences. Conduct feedback sessions, validate problems, communicate roadmaps, identify AI opportunities, and drive measurable improvements in user behavior, business outcomes, and client experience.

Designs and governs production-grade agentic AI solutions across multiple squads. Translates business needs into architectures, roadmaps, requirements, security controls, and implementation plans; defines orchestration, integrations, workflows, and operational safeguards. Coordinates dependencies, technical debt, reusable patterns, and architecture governance while communicating tradeoffs to executives and stakeholders. Provides hands-on technical guidance, supports developer enablement, and directly manages engineers delivering enterprise AI and automation solutions.

Leads a globally distributed software engineering team building Signal, an ERP platform supporting manufacturing, supply chain, procurement, and infrastructure delivery workflows. Responsibilities include hiring, mentoring, performance management, delivery ownership, stakeholder collaboration, architectural guidance, process improvement, and responsible adoption of AI-assisted development tools. The manager ensures high-quality, secure, predictable software delivery while remaining technically engaged in code reviews and planning.

Build and ship full-stack features for AHEAD’s Hatch and Unity platforms, owning work from user needs through design, implementation, testing, deployment, and support. Make architectural decisions, use AI development tools responsibly, lead code reviews, mentor engineers, collaborate with stakeholders, estimate work, manage technical risk, and help shape the engineering roadmap. The role uses Elixir and Phoenix while emphasizing adaptability, product thinking, software quality, security, and reliable delivery.

Leads complex, multi-workstream technology programs spanning infrastructure, cloud, networking, security, platforms, and data centers. Responsibilities include opportunity shaping, program mobilization, integrated planning, governance, financial management, risk and dependency control, executive communication, vendor coordination, technical delivery, service transition, and value realization. The role partners across sales, presales, delivery, finance, resource management, customers, and vendors while coaching project and workstream leaders.

Principal Engineer responsible for owning complex software initiatives from problem framing through architecture, implementation, deployment, production support, and continuous improvement. The role involves building web applications, services, APIs, MCP servers, data pipelines, and platform integrations; leading architecture and code reviews; improving security, reliability, and maintainability; mentoring engineers; and shaping technical strategy. The engineer will also use and improve AI-assisted development practices while maintaining human accountability for quality and operational outcomes.

Designs, builds, secures, monitors, and supports scalable data platforms across public and multi-cloud environments. Develops batch and streaming pipelines, ELT processes, data lakes, warehouses, APIs, and integrations with transactional systems. Works with SQL and NoSQL databases and technologies including Spark, Hadoop, Databricks, Snowflake, Kinesis, and Lambda. Leads projects, presents to leadership, collaborates with clients and Scrum teams, troubleshoots issues, and enables analytics and machine learning initiatives.