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

Build the systems, automation, data models, and AI-enabled workflows supporting Sales and Customer Success. Responsibilities include creating GTM data infrastructure, value ledgers, account context tools, workflow discovery systems, pilot instrumentation, CRM automation, expansion signals, and data-quality observability. The role partners directly with GTM leadership and field teams to identify bottlenecks, prototype solutions, measure adoption, and scale effective processes.

Define product strategy and roadmap for AI-powered B2B supply chain and logistics software. Conduct customer research, analyze data, evaluate AI opportunities, write product specifications, prototype solutions, and partner with engineering, design, go-to-market, customers, and leadership to ship incremental product improvements. The role requires strong product judgment in an early-stage environment and experience designing complex workflows for non-developer business users.

Leads BackOps’ infrastructure and security engineering team, owning multi-cloud and on-premise infrastructure, reliability, networking, access controls, secrets, vulnerability management, SOC 2 controls, and security automation. The role includes hiring and mentoring engineers, establishing paved roads and operational standards, translating risks for executives and customers, improving incident response, and building scalable security and infrastructure functions.

Own the technical program management operating system for a growing engineering organization. Establish planning, intake, prioritization, dependency, risk, incident, escalation, and delivery measurement mechanisms. Lead strategic cross-functional programs from definition through launch, improve operational workflows, communicate delivery risk to executives, and grow the program management function.

Lead Core Product Engineering for an AI-native supply-chain platform. Hire and develop product engineers, guide architecture and the software lifecycle, ensure predictable delivery, and improve reliability, safety, and performance. Partner closely with Product, Design, founders, and customers to shape workflows, evaluate AI agents, and evolve the core product. Establish effective planning, ownership, escalation, incident, and operational processes while remaining hands-on in technical and product decisions.

Own full-cycle recruiting for sales, customer, marketing, and other GTM roles. Build sourcing strategies focused on passive candidates, partner with hiring managers, run structured interviews, track funnel metrics, represent BackOps to candidates, and close talent against competing offers. The role requires managing multiple searches while maintaining hiring quality and candidate experience, with a focus on supporting a rapidly growing early-stage startup.

Lead design and implementation of cloud security controls across AWS/GCP, Kubernetes, and serverless environments. Harden infrastructure, automate IAM and secrets management, integrate security scanning into CI/CD, operationalize vulnerability management and threat modeling, and partner with engineering to embed DevSecOps practices across AI-driven workflows.

Own strategic deployment and adoption of BackOps for large enterprise customers: diagnose operational bottlenecks, design AI-driven workflow redesigns, build multi-phase deployment roadmaps, lead change management and training, partner on integration and data governance, define adoption KPIs, and drive renewal and expansion.

Partner with customers to design, deploy, and maintain adaptive AI agents and production applications that integrate with customer infrastructure. Translate operational workflows into system improvements, build demos/prototypes, debug live deployments, and ensure reliability, safety, and performance while maintaining long-term customer relationships.

Manage a portfolio of customers from onboarding through renewal and expansion. Run strategic check-ins, translate customer goals into product requests, drive adoption and measurable value, identify expansion opportunities, and align stakeholders across product and engineering to ensure customer outcomes.