Analytics Engineer, Safety Systems

About the Role

As an Analytics Engineer in Safety Systems, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. You will partner closely with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable both people and AI agents across the organization to derive trustworthy, actionable insights.

You will own the consumption layer for safety metrics: defining intuitive, reliable ways for stakeholders across Safety Systems, partner teams, and leadership to understand the safety of our products, answer safety-related questions independently, and inform product decisions and company strategy.

Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

• Design and maintain canonical datasets that serve as sources of truth for safety metrics.
• Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently.
• Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making needs and design intuitive ways to consume complex safety metrics, including dashboards, reports, agentic workflows and other data products.
• Ensure that analytics and visualizations are both accurate and user-friendly, incorporating user experience principles.
• Advocate for data quality, consistency, and reliability across analytics products.

You might thrive in this role if you are/have

• 5+ years of experience in a relevant data role within dynamic, outcome-driven organizations.
• Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.
• Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.
• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
• Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.
• Excellent communication skills, with demonstrated ability to collaborate with researchers, engineers, data scientists, and executives alike.
• Best-in-class attention to detail and unwavering commitment to accuracy.
• Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.
• Experience using or building agentic data tools, LLM-powered analytics, or other AI-assisted data workflows.

You could be an especially great fit if you have

• Experience in trust and safety, integrity, anti-abuse, or related fields.
• Familiarity with advanced custom visualizations, such as Streamlit and Plotly Dash.
• Demonstrated prior experience in NLP, large language models, or generative AI.
• Experience building data products used by a broad range of stakeholders, from technical practitioners to company leadership.