Technology Architect

In this role, you will

Partner with teams across Corporate Security to understand their operational workflows, data sources, reporting needs, and automation goals.Build best-in-class dashboards and metrics that provide real-time visibility into CorpSec operations, performance, risks, and program health.Use ChatGPT, Codex, agents, APIs, and automation tools to build scalable internal tools and workflows.Create a unified technical vision that connects team-level projects into a broader CorpSec data and technology ecosystem.Assess current data sources and workflows, identify gaps, and improve the quality, consistency, and reliability of data.Design clean data pipelines and reporting structures across systems such as Airtable, Ontic, Jira, Asana, Google Workspace, and other CorpSec tools.Build prototypes quickly, test with users, and iterate toward production-ready solutions.Help establish data standards, governance practices, and repeatable patterns for future CorpSec technology builds.Translate ambiguous business needs into clear technical requirements and practical solutions.Serve as a technical partner to CorpSec leadership on dashboards, automation, AI-enabled workflows, and data strategy.You might thrive in this role if youHave strong experience building dashboards, data products, internal tools, or automation systems in complex operating environments.Are comfortable working with ambiguous requirements and turning them into simple, scalable technical solutions.Have experience integrating systems through APIs, scripts, databases, and automation platforms.Care about data quality and know that dashboards are only as good as the data behind them.Can partner with non-technical stakeholders and quickly understand how their work actually happens.Are excited about using AI tools like ChatGPT, Codex, and agents to improve real-world operations.Can move between strategy and execution, from designing the architecture to building the actual workflow.Have strong judgment around privacy, access control, and responsible handling of sensitive operational data.Are highly organized, self-directed, and able to drive work across multiple stakeholders.Required Qualifications

5+ years of experience in data engineering, analytics engineering, software engineering, solutions architecture, business systems, or a similar technical role.Experience building dashboards, reporting systems, or operational analytics products.Experience working with APIs, data pipelines, databases, scripts, or automation tools.Ability to work directly with business stakeholders and translate operational needs into technical solutions.Strong understanding of data quality, data modeling, and scalable reporting practices.Demonstrated ability to build practical tools in fast-moving environments.Preferred Qualifications

Experience using ChatGPT, Codex, AI agents, or LLM-based tools to build internal workflows or automation.Experience with Airtable, Ontic, Jira, Asana, Google Workspace, Slack, or similar enterprise tools.Experience supporting security, risk, intelligence, operations, trust and safety, or enterprise resilience teams.Experience building executive-facing dashboards or metrics programs.Comfort with SQL, Python, JavaScript, APIs, and low-code/no-code platforms.Experience designing data governance, permissions, and access-control models for sensitive data.Pay Rate: $60-$70/hour

Hybrid onsite in San Francisco, 3 days per week (Monday-Wednesday)