Quora

Data Scientist

• Own ambiguous, high-impact problem spaces across product and business domains, from question framing, to devising and conducting the analysis, to developing and implementing solutions with cross-functional partners
• Partner with cross-functional stakeholders and company leadership to shape product strategy and anticipate future challenges
• Design and evaluate experiments to measure the impact of product and strategic changes
• Analyze data from across the product to uncover root causes of metric movements
• Develop tools, methodologies, and frameworks that help make both the data team and the company as a whole smarter about data
• Multiply the impact of other data scientists through mentorship and instilling industry best practices across the team

Staff Data Scientist

Product Manager

• Own the end-to-end strategy for user growth, with a primary focus on top-of-funnel acquisition, activation, and early retention across web and mobile surfaces
• Drive SEO-led growth for the web product, partnering with engineering, content, and data teams to improve discoverability, indexation, and organic traffic performance as a core acquisition channel
• Manage ambiguity, complexity, and cross-functional interdependencies in a fast-paced environment, doing what it takes to make the product successful
• Partner closely with engineering, design, data science, and product operations to define, build, iterate, and scale growth experiences
• Define objectives, metrics, and guardrails to guide prioritization and measure success
• Run structured experimentation across the funnel, using quantitative and qualitative insights to inform product strategy and roadmap
• Identify and unlock new growth levers; including referrals, lifecycle, and platform-specific opportunities to diversify channel mix and compound growth over time

Principal Product Manager – Growth

Engineer

• Build and maintain a SIEM to collect and analyze logs from across corporate and production systems; write and deploy detections and alerts to identify malicious behavior
• Design and deploy canary tokens and early warning mechanisms to detect threats before they reach critical assets
• Investigate security incidents end-to-end — including malware analysis, exfiltration assessment, and timeline reconstruction — and build runbooks to scale response capabilities
• Partner with IT to define and enforce security standards across the employee device fleet, including endpoint protection, managed device requirements, OS compliance, and VPN access controls
• Drive the PoC and implementation of Zero-Trust VPN and other corporate security infrastructure
• Provide security guidance and advisory support to non-engineering functions across the organization

Detection, Corporate Security Engineer

• Own the end-to-end strategy for consumer-facing AI initiatives, including defining content quality standards, establishing evaluation frameworks, and driving responsible rollout and scale
• Manage ambiguity, complexity, and cross-functional interdependencies in a fast-paced environment, doing what it takes to make the product successful
• Partner closely with engineering, design, data science, and product operations to define, build, iterate, and scale AI-powered experiences
• Define objectives, metrics, and guardrails (engagement, quality, trust) to guide prioritization and measure success
• Run structured experimentation to optimize feed allocation and performance, using quantitative and qualitative insights to inform product strategy
• Stay current with advances in Generative AI to continuously improve product capabilities and long-term roadmap direction

Staff Data Scientist

Principal Product Manager – Growth

Detection, Corporate Security Engineer

Senior Product Manager – Core Experience