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

Design, build, and operate GiveCampus’s AI platform, including shared context and memory, identity and access controls, agent registries, governance, evaluations, monitoring, and security guardrails. Build reusable infrastructure and templates for internal AI builders, support agent orchestration and deployment, and measure business impact. Partner with product, engineering, and departmental AI teams while growing into the company’s technical AI lead.

Lead cross-functional business operations initiatives that improve efficiency, execution, decision-making, and partner service. Identify and prioritize organizational problems, develop and implement strategic projects, measure ROI, improve processes and systems, and communicate progress across the company. Regularly engage users to gather insights and shape priorities while translating company goals, KPIs, and industry trends into actionable tactics.

Own onboarding for primarily independent schools, guiding partners through implementation, platform adoption, timelines, and handoff to Partner Success. Build scalable playbooks, workflows, documentation, and training materials; collaborate with Product, Sales, Operations, and Success teams; troubleshoot integrations and implementation issues; track onboarding metrics; improve time-to-value; and conduct at least one onsite visit with each school during onboarding.

Sell SaaS fundraising solutions to colleges, universities, and other educational institutions. Responsibilities include territory planning, prospecting, managing complex sales cycles, building executive relationships, presenting solution value, maintaining pipeline discipline, exceeding quotas, and closing six-figure deals. The role collaborates with marketing and partner success teams and requires 30–35% travel. Candidates should have substantial SaaS sales experience and a record of exceeding quotas.

Sell GiveCampus SaaS solutions to colleges, universities, and other educational institutions. Own territory planning, prospecting, complex sales cycles, stakeholder relationships, pipeline management, contracting, and quota attainment. The role requires selling to senior executives, closing six-figure deals, collaborating cross-functionally, and promoting the company’s education-focused mission. This remote U.S. role strongly prefers California candidates and requires 30–35% travel.

Build and maintain full-stack donor-facing giving forms, campaign tools, administrative features, and payment flows across Stripe, ACH, and digital wallets. Own features from technical design through deployment, testing, and production support. Collaborate with product, design, and engineering partners in an Agile environment, contribute to code quality and team initiatives, and participate in rotational support and on-call coverage.

Build and operate high-volume AWS data pipelines and bidirectional CRM integrations for educational fundraising systems. Design idempotent consumers, incremental synchronization, rate limiting, replay, migrations, monitoring, and partner-facing APIs. Collaborate with product, partner, data science, and CRM teams while improving AI-assisted engineering practices. Own major system components or end-to-end architecture, depending on level, and mentor teammates at the higher level.

Own GC Events end-to-end as a commercial product leader, driving strategy, user discovery, roadmap prioritization, execution, launch readiness, adoption, operations, integrations, and revenue growth. Partner closely with GTM, Engineering, Design, Data Science, and customer-facing teams. Use AI throughout research, analysis, prototyping, and shipping while defining AI-enabled product experiences. Maintain deep customer engagement, move quickly, and deliver measurable commercial outcomes.

Own end-to-end SaaS partner implementations, including platform setup, onboarding, training, adoption, and post-launch engagement. Travel to partner campuses for in-person training and relationship building. Track implementation timelines and product utilization, communicate progress, gather feedback, identify at-risk partners, improve processes, and recommend onboarding enhancements. Collaborate cross-functionally within a growing business unit while supporting partner success and operational efficiency.

Operate and improve AWS production infrastructure, infrastructure as code, Kubernetes workloads, observability, CI/CD, and incident response. The role investigates root causes, strengthens application resilience, automates operational tasks, supports database and performance reliability, maintains documentation, and participates in 24/7 on-call rotations. The engineer owns scoped reliability projects and collaborates with product engineering teams on resilient, secure, and compliant systems.