Strategic Intelligence Analyst in United States

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world. We're looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation. What You'll Be Doing Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns. Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation. Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures. Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse. Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools. What you should have 2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent. 4+ years of experience working in a Trust & Safety dom

About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. This role focuses specifically on AI Safety: understanding and mitigating risks created or amplified by increasingly capable AI systems. It is not a cybersecurity, information security, or corporate security role. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs AI safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed responsibly across critical sectors. About the role We are looking for a Frontier AI Risks Lead to help us understand potential harms and misuse of AI in a time of rapid, sustained change. We seek to understand how developments in AI could intersect with misuse and abuse, accelerating existing harm areas and creating novel risks. We seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. This is an AI safety role focused on frontier and systemic risks, including model misalignment, recursive self-improvement (RSI), multi-agent interaction, loss of control, runaway agents, and related emerging failure modes. In this role, you will help provide a strategic-level perspective on a range of frontier AI safety areas, producing actionable understanding of issues relevant to OpenAI’s platforms, systems, and broader mission. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem sc

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About Our Private Investor Business: YipitData has an opportunity to revolutionize the private investor market by providing something that has neve

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Internal Analysis is the data team at Mixpanel — the team that turns data from every corner of the business into the decisions that shape our product and our growth. They own the full path: from raw data in source systems, through a governed warehouse, to the models, metrics, and insights leaders across the company act on. It's two complementary disciplines under one roof. Our Analytics Engineers own the data end to end — ingesting from source systems, modeling through a medallion architecture on BigQuery, and producing the trusted tables and reporting artifacts the rest of the company runs on. Our Data Scientists build on that foundation, partnering with Product to refine the user experience and with GTM to sharpen how we grow — inspecting signals, running experiments, and surfacing the insights that change what we do next. About the Role You'll lead this team — and help shape Mixpanel's data culture. We're looking for someone who can influence the organization to become more metrics-driven: establishing clear KPIs, helping teams define success upfront, and ensuring analytics and data science are engaged as strategic partners from the start of an initiative, not brought in at the end to validate decisions already made. As we grow the data organization's remit across the company, this role has the scope to establish practices that don't yet exist, KPI ownership, cross-functional operating rhythms, a shared standard for what 'data-driven' means here, and where AI belongs in both how the team works and what the platform delivers. It takes building real trust with cross-functional leaders to

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer II, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel. Responsibilities Own onboarding and data health for our strategic and high-value c

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer II, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel. Responsibilities Own onboarding and data health for our strategic and high-value c

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer III, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel. Responsibilities Own onboarding and data health for our strategic and high-value

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relic is looking for a strategic, technically fluent Competitive Intelligence (CI) Director to own our competitive intelligence program from strategy through execution. In this strategic role, you will be the company’s foremost expert on the observability, monitoring, and AIOps competitive landscape tracking and analyzing New Relic competitors and turning that analysis into intelligence that sharpens our positioning, accelerates win rates, and informs product and GTM strategy. This is a role for a proven CI leader who can operate at the intersection of technology and go-to-market. Ideally someone equally comfortable digging into distributed tracing or AIOps and AI observability capabilities with product teams as briefing the field or executive staff on what it means for New Relic’s competitive position. If you thrive on staying ahead of a fast-moving observability market and building the programs, content, and platform that keep an entire GTM organization sharp, we want to hear from you. What you'll do Own and Scale the CI Program: Lead New Relic’s global competitive intelligence program end-to-end competitor tracking, battlecards, and competitive playbooks, plus the CI platform that powers enablement across Sales, Marketing, and Product. Build the Competitive Knowledge Base: Develop and maintain in-depth, technically accurate coverage of key observability, monitoring, and AIOps competitors. This includes product architecture, pricing, roadmap signal

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Strategic Sourcing team is part of Airbnb’s Global Procurement organization and plays a key role in enabling Airbnb to operate efficiently and scale sustainably. We partner closely with internal stakeholders to design and deliver sourcing strategies that align with Airbnb’s business priorities while driving innovation, value, and stakeholder success. We are a collaborative, forward-thinking team that embraces an AI-first mindset — leveraging technology, automation, and data to simplify processes and unlock new efficiencies. Guided by Airbnb’s mission to create a world where anyone can belong, we focus on delivering value through curiosity, creativity, and integrity. Key cross-functional partners: Finance, Legal, Business Operations. The Difference You Will Make: As the Sourcing Manager supporting Engineering and Infrastructure, you will partner directly with engineering leaders to shape how Airbnb sources and manages critical technology capabilities. This role sits at the center of major technical investments, from infrastructure platforms to emerging AI technologies. You will design sourcing strategies that balance cost efficiency, engineering velocity, and long-term scalability. You will also play a key role in advancing how sourcing integrates AI and automation into its workflows. Rather than simply executing procurement processes, you will help modernize them by improving how market intelligence, supplier comparisons, and negotiation insights are generated and used in decision-making. Success in this role means helping engineering teams make faster, better technology d

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Senior Principal, Competitive Intelligence will report to the Director, Product & Performance within Strategic Finance & Analytics. Airbnb is looking for a unique individual that can blend art and science to evaluate our evolving competitive landscape. This team is responsible for understanding the market across geographics and product offerings, building evaluation criteria and metrics, and delivering clear insights to leaders across the company. The Difference You Will Make: The individual will serve as the company's go-to authority on the competitive landscape, including current and future competitors, adjacent marketplaces, the travel industry at large and macroeconomic trends. They will partner with technical and business operating teams to synthesize competitive signals into clear, actionable narratives that inform executive decision-making at the highest levels of the company. The ideal candidate brings a combination of sharp analytical instincts, business acumen, and the ability to distill complex information into crisp executive-ready stories. They are a self-starter who is comfortable operating with ambiguity, thrives in a fast-paced environment, and relishes the opportunity to own a critical capability from end to end. This person will have a high degree of visibility with senior leadership, including Executive and VP leaders across Finance, Product, Marketing and Business functions. A Typical Day: Competitive Monitoring: Develop and manage regular reporting to review key metrics across marketplace and product; track developing news and indus

As a Vice President within this global team, you will own key analytical workstreams, drive strategic client-level initiatives, and execute optimization agendas. Your primary responsibilities will include: Client Analytics & Optimization: Develop client-level analytics to identify and pursue opportunities for optimization. Stakeholder Management: Lead the agenda with Client Treasurer and Client Analytics teams regarding allocation methodologies and strategy. Technology Implementation: Manage the end-to-end tech implementation of new analytics, metrics, and reporting tools. Project Management: Oversee the lifecycle of analytical projects, from data acquisition to final delivery and follow-up. Data Acquisition and Analysis: Perform deep data acquisition and analysis to generate actionable insights and support strategic initiatives. Data Quality Management: Lead the escalation and follow-up process for data quality issues to ensure the integrity of underlying data. Metric Development: Design, develop, and implement new metrics to track performance and drive business outcomes. Ad-hoc Pricing: Provide analytical support and ad-hoc pricing for global clients to ensure optimal returns. System Ownership: Act as the module owner of GSIB, and Client Financials modules in our LMS data-mart (Clearview), driving their development and effective use. As an integral part of the broader Pricing and Optimization team, you will also contribute to a range of activities spanning subject matter expertise on client liquidity value, client pricing, client financials, and Services data architecture. Also, some activities related to product development, which include technical coordination, control execution, and performance monitoring, alongside ad-hoc tasks like issue management, UAT testing, and stakeholder coordinat

Treasury is leading a Finance wide capability for an AI-augmented operational model and process for variance analysis; this role will support the execution of that effort, providing key domain expertise and execution support. Day-to-day, the candidate will act as a key business contributor for the OM / AI capability build, supporting the delivery of the variance analysis process — including a prototype to be leveraged across Finance. This includes assisting in the definition of use case requirements, validating outputs, and helping to ensure the resulting tooling is fit for finance-wide reuse. The output of this work will contribute to establishing the reusable OM / AI pattern that subsequent Finance teams will adopt. This role requires an understanding of OM and AI strategic direction of the Finance function, combined with a solid conceptual/practical grounding in Liquidity Operations process. Excellent communication and collaboration skills are required in order to work effectively with internal stakeholders across various levels. Impact reflects professional influence on the business and close interaction with other functions and businesses. Responsibilities • Support the development and implementation of AI tooling to help establish a Finance wide common capability for variance analysis, including daily and periodic identification, root-cause analysis, and escalation of material variances across product, entity, and currency dimensions. • Collaborate within Treasury, across Finance, and with Technology to identify consistent attribution of variance drivers — including intra-day movements, and operational breaks. • Assist in preparing and presenting executive-level commentary and analysis to senior management on progress. • Contribute to the operating model process including supporting the documentation of escalation paths and process flows. Qualifications • 10+ years of experien

Citi's U.S. Consumer Cards (USCC) business is one of the largest card issuers in the United States, serving millions of customers across a broad portfolio of branded, co-brand, and retail services card products. We are seeking to hire a VP Rewards Reengineering - Strategy and Analytics position to be part of the USCC Pricing and Rewards Reengineering team. The VP Rewards Reengineering - Strategy and Analytics position will report to Rewards Reengineering Analytics Lead and will be responsible for developing Rewards strategies grounded in data, customer, and operational insights. This individual will leverage financial analysis to enhance portfolio profitability through many rewards strategic work, balancing customer experience and ensuring regulatory compliance. This role will partner across multiple teams, including Product, Finance, Risk, Legal, Compliance, Technology and Operations to drive Rewards strategies for USCC. Key Responsibilities: Develop comprehensive Rewards strategy recommendations based on in-depth customer insights (both quantitative and qualitative), sound financial impact forecasting and thorough understanding of competitive landscape and regulatory environment Evaluate new initiatives by developing financial sizings, weighing risk / reward tradeoffs, assessing customer impact, and various other key factors Retrieve data and conduct data driven analytics using various analytical tools, software, and techniques Develop robust forecasting and tracking capabilities, and ensure robust quality control in Rewards processes Understand regulatory implications associated with Rewards policy and develop mitigation / opportunity strategies Communicate clearly and effectively to business partners and senior leaders Candidate Qualifications 6+

Become a part of our caring community The Business Intelligence Lead serves as the primary analytics and enrollment operations expert supporting Medicaid Enrollment. This role is responsible for leading state implementation readiness efforts, regulatory and contractual reporting support, enrollment analytics, compliance monitoring, and analytics modernization across Medicaid markets. The Business Intelligence Lead solves complex business problems and operational challenges using internal and external data sources to provide actionable insights and strategic direction to business leaders. This role serves as the primary analytics lead supporting Medicaid Enrollment Operations initiatives, with responsibility for state implementation readiness, enrollment analytics, compliance monitoring, and scalable solution architecture. This associate functions as a strategic individual contributor and internal consultant, partnering with business leaders, operational teams, compliance organizations, and technology partners to design and implement analytics solutions. The Business Intelligence Lead exercises independent judgment and decision-making authority on complex issues affecting state compliance, enrollment operations, contractual reporting obligations, membership reporting, reconciliation processes, and operational performance. The role leverages modern analytics platforms including Databricks, Power BI, SQL, and cloud-based data environments to create reusable and scalable solutions supporting current and future Medicaid market expansions. This associate is expected to influence strategy, identify opportunities for operational efficiencies, establish reporting standards, and drive modernization efforts that reduce implementation effort while improving compliance, operational visibility, and business outcomes. Use your skills to make an

About the Role We're looking for a Head of Competitive Intelligence to build and lead a world-class competitive intelligence function. This person will transform market signals into strategic advantage by developing the frameworks, analysis, and insights that inform our product strategy, go-to-market approach, and executive decision-making. This is not a research role. It's a highly cross-functional strategy role that sits at the intersection of Product, GTM, Research, and Leadership. You'll establish the systems, operating cadence, and analytical rigor that help the company understand where we win, where we're vulnerable, and how the market is evolving. What You'll Do Build and own the company's competitive intelligence strategy and operating model. Develop and maintain comprehensive competitive assessments, including Harvey Ball analyses, feature matrices, product comparisons, pricing analyses, and market landscape reviews. Create executive-ready competitive insights that influence product strategy, roadmap prioritization, pricing, and investment decisions. Build best-in-class objection handling and competitive messaging for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding, and GTM motions, synthesizing complex information into clear strategic recommendations. Establish repeatable processes and tooling for collecting, validating, and distributing competitive intelligence across the company. Partner closely with Product Management to inform roadmap decisions and identify areas of strategic differentiation. Collaborate with Marketing to sharpen positioning and messaging based on competitive dynamics. Support executive leadership with board-ready competitive analyses and market briefings. Build dashboards and reporting that track competitive movements and emerging industry trends. Develop frameworks that evaluate competitors across capabilities, enterprise r