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 you
• Have 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)