Insights Lead Jobs

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Who we want: Are you ready to combine your talent for crafting solid data systems and enthusiasm for cutting-edge technology to harness the power of data at Bazaarvoice? We’re looking for a strong database engineer who thrives on building large-scale, robust, distributed data systems and pipelines, who understands the importance of good software engineering practices to get it done. If you’re excited about shaping the future of data at Bazaarvoice, come join us. How you will make an impact: As a key member of the Data Operations team, you’ll be tasked with designing, buil

P-1651 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As a Sr. Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. The Impact You Will Have: Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company. Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems. Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution. Enterprise-Grade Observability: Imp

P-1529 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager. The impact you will have: Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs. Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback. Help the support team with detailed troubleshooting guides and runbooks. Contribute to automation and tooling initiatives to streamline daily troubleshooting. Partner with the engineering team and spread awareness of upcoming features and releases. Identify and contribute supportability features back into the product. Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests. Participate in weekend and weekday on-call rotation. What we look for: 7+ years of industry experience Experience

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. Your Responsibilities Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. Work with your product manager to develop implementation plans against our technical product roadmaps. Personally maintain, develop, and deploy our customer facing workflows to create and support our overall product architecture. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your own and your team’s work. Review the code and technical designs authored by your team members, and hold a high bar for quality. Mentor developers and help them level up their skills. Be responsible for the technical excellence of day-to-day work of a team of engineers and ensure that the team’s deliverables are maturing along the defined roadmap. Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable. Identify technical and operational gaps for the team and create plans and work items to address them. Serve as the domain expert for a portion of th

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Serve as the in-house subject matter expert for Datadog’s LLM Observability product Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: You bring a strong software engineering foundation, with hands-on experience bu

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Elastic is seeking a Principal Competitive Intelligence Manager to join its Product Marketing organization, focusing on Search. This role is pivotal in analyzing the competitive landscape and providing actionable insights to enhance go-to-market strategies. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market. The ideal candidate brings a strong mix of technical, business and communication ability, particularly in the Search market. You have a deep understanding of Search solutions including the users and buyers of those products. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights. You excel at communicating across levels, from technical experts to senior executives, and are skilled at turning data into impactful messaging for different audiences. What You Will Be Doing : Build and implement an effective competitive intelligence program for Search, including in-depth analysis of competitors' products, services, pricing, packaging, marketing strategies and financial performance. Create clear, compelling, fact-based internal and external enablement materials - battlecards, bulletins, training, comparisons for blogs/websites - that tells the story behind E

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Elastic is seeking a Principal Competitive Intelligence Manager to join its Product Marketing organization, focusing on Search. This role is pivotal in analyzing the competitive landscape and providing actionable insights to enhance go-to-market strategies. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market. The ideal candidate brings a strong mix of technical, business and communication ability, particularly in the Search market. You have a deep understanding of Search solutions including the users and buyers of those products. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights. You excel at communicating across levels, from technical experts to senior executives, and are skilled at turning data into impactful messaging for different audiences. What You Will Be Doing : Build and implement an effective competitive intelligence program for Search, including in-depth analysis of competitors' products, services, pricing, packaging, marketing strategies and financial performance. Create clear, compelling, fact-based internal and external enablement materials - battlecards, bulletins, training, comparisons for blogs/websites - that tells the story behind E

Senior Designer, Visual Interaction Design In a nutshell: We’re looking for a Senior Visual Interaction Designer to join our Cambridge Studio who is passionate about crafting elegant, thoughtful user experiences, and who brings strong visual design craft to the interactions people have with complex design systems, software, services, and each other. Senior Visual Interaction Designers at IDEO shape how experiences look, feel, and behave. In this role, you’ll translate human-centered insights into clear, compelling interactions and interfaces that are functional, expressive, and meaningful. You’ll balance visual excellence with usability, and bring a distinct visual voice to each design challenge while learning and growing alongside a multidisciplinary team. This is a phenomenal opportunity for designers who are highly self-guided, eager to take on complexity, and motivated to continually sharpen their craft. Once here you will: Contribute to a diverse portfolio of projects spanning data, experience, interaction, digital product, and service design across a range of industries Work across all phases of a project, from research synthesis and concepting through prototyping, refinement, and production-ready execution Translate human-centered insights into interaction models, visual systems, and polished digital interfaces Create “looks-like / works-like” prototypes to explore ideas, test assumptions, and communicate concepts to teammates and client stakeholders Collaborate closely with designers from different backgrounds—including design research, business design, industrial design, and communication design—to develop cohesive, holistic experiences Design across a wide variety of mediums and contexts, such as mobile apps, AI experiences, websites, digital/physical systems, room-scale displays, AR/VR, or voice interfaces, always guided by user needs and context Advocate for high-quality visual and interaction design, contributing to a culture of strong craft, curiosity,

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with product, research, and engineering teams to integrate OpenAI mode

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model. Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing. Deliver unified frontend data clients and service components. Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences. Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features. Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adopt

About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to spearhead high-impact projects that amplify the user base of ChatGPT and Plus Subscribers. Your role will include projects such as optimizing account access, notifications, SEO, fostering value discovery, and virality. As we are in the nascent stages of growth at OpenAI, we will rely on you to discover pivotal areas where strategic bets or incremental efforts can catalyze significant impact. We value engineers who are impact-driven, autonomous, adept at discerning crucial insights from experimental results, and have a strong intuition for how to remove barriers to unlocking the magic of ChatGPT. In this role, you will: Drive long-term growth of ChatGPT through a combination of data analysis, product ideation, and experimentation to optimize product experiences. Plan and deploy backend APIs necessary to power these product experiences. Execute on projects by working closely with research, product, design, data science and other members of product teams to land impact on product goals. Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think. You might thrive in this role if you: Shipped features on web that optimize the user funnel, such as landing pages, product pages, purchase flows, search flows, etc. Are highly analytical and have experience designing and implementing A/B te

P-1514 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence. Below are some example teams you can join: Lakebase Platform Reliability : Constantly evolving Lakebase Reliability. That includes cross-functional infrastructure, observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services Lakebase Manager (LBM): Build and operate the central control plane that owns the core logic for Lakebase — database creation and deletion, wake-up and s

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations related to financial fraud Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides Anticipated to grow toward managing projects and communicating with clients Job Qualifications Required 3+ years of relevant work experience Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL Background in economic/management consulting or finance Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences Job Qualifications: Required Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred 2+ years of relevant full-time experience. Excellent skills in R, Python, and/or SQL Knowledge of financial concepts and principles Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

P-1591 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org including: The impact you will have: Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few. Improve reliability, latency, and efficiency of distributed AI workloads Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences Shape how developers and data scientists build and interact with AI on Databricks What we look for: 5+ years of experience in backend or infrastructure engineering Strong programming skills in Scala, Go, or Python Experience with distributed systems, scalable APIs, or cloud-native infrastructure Familiarity with service-oriented a