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Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking a highly skilled Senior Incident Response Analyst to lead advanced threat detection, investigation, and remediation efforts within our Security Operations program. This role is responsible for handling complex security incidents, guiding junior analysts, improving detection capabilities, and strengthening our overall security posture. The Senior Incident Response Analyst brings deep technical expertise, strong analytical thinking, and a proactive mindset toward defending the enterprise.

Senior Financial Analyst Company: The Boeing Company The Boeing Defense Financial Analysis Space Intelligence and Weapons Systems (SI&WS) Team is seeking an Senior Financial Analyst to support the Space Launch System (SLS) program. This opportunity is located at Kennedy Space Center, FL or Huntsville, AL and will join our team working on the largest and most powerful rocket ever produced. If you are an energetic, self-starter with a proven record of resourcefulness, motivation, and passion, we invite you to apply. Boeing's Space Launch System (SLS) is at the forefront of space exploration, aiming to propel humanity deeper into the cosmos. The BDS Space Launch System Finance team is looking for a dynamic and driven Financial Analyst to contribute to this historic endeavor. In this role, you will collaborate with cross-functional teams, providing essential financial and cost management analysis for the world's largest and most powerful rocket. Position Responsibilities: Develops resource forecasts and/or Estimates at Completion (EACs) for control accounts, budgets, functions or pools; financial EACs for contracts or programs Initiates analysis of: resource forecasts and/or control account EACs; financial EACs Compiles data from multiple sources and develops performance reports Initiates variance analyses and provides understanding of operational and financial performance to management Makes recommendations to management on financial performance projections using financial and business knowledge and experience Develops, reviews, analyzes and maintains cost and/or schedule perfo

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems

We are seeking a highly organized and detail-oriented marketer to join our team as a Senior Partner Marketing Manager for our ISV/Tech & AI partners. In this role, you will be responsible for planning and executing integrated marketing strategies across strategic partners and establishing an operating plan to support the broader partner ecosystem. You will work directly with multiple Tech and AI partners, in addition to working cross-functionally with our Field Marketing, Partner Marketing, and Sales teams, to amplify MongoDB’s voice, footprint, and adoption. We’re looking for an experienced and innovative partner marketer to help accelerate MongoDB’s vision by building and scaling high-impact co-marketing initiatives that help establish MongoDB the default data layer across these partners. The right candidate for this role is a data and results driven marketer, a team player, and able to roll up your sleeves and get the job done! Must be comfortable in a dynamic, changing ecosystem as new integrations and partnerships emerge. You also demonstrate MongoDB’s core values such as making it matter, build together and embrace the power of differences. The role will directly report into the Lead, Partner Marketing. Key Responsibilities Develop partner marketing strategies that drive growth, awareness, and adoption of MongoDB via our ISV/AI/Tech partner ecosystem Plan and execute end-to-end, integrated partner co-marketing initiatives in collaboration with internal and external cross-functional teams Oversee the development of jointly produced digital content, including web assets, blog posts, whitepapers, case studies, etc. Act as a liaison between ISV/AI/Tech partners and internal teams, including Industry & Solutions, Field Marketing, Events, and Product Own partner marketing planning and project manage the initiatives that bring them to market Manage in-person joint events in conjunction with the Field Marketing and Events teams, including promotion

We are seeking a highly organized and detail-oriented marketer to join our team as a Senior Partner Marketing Manager for our ISV/Tech & AI partners. In this role, you will be responsible for planning and executing integrated marketing strategies across strategic partners and establishing an operating plan to support the broader partner ecosystem. You will work directly with multiple Tech and AI partners, in addition to working cross-functionally with our Field Marketing, Partner Marketing, and Sales teams, to amplify MongoDB’s voice, footprint, and adoption. We’re looking for an experienced and innovative partner marketer to help accelerate MongoDB’s vision by building and scaling high-impact co-marketing initiatives that help establish MongoDB the default data layer across these partners. The right candidate for this role is a data and results driven marketer, a team player, and able to roll up your sleeves and get the job done! Must be comfortable in a dynamic, changing ecosystem as new integrations and partnerships emerge. You also demonstrate MongoDB’s core values such as making it matter, build together and embrace the power of differences. The role will directly report into the Lead, Partner Marketing. We're looking to speak with candidates based in Austin, Chicago, or Atlanta for our hybrid working model. Key Responsibilities Develop partner marketing strategies that drive growth, awareness, and adoption of MongoDB via our ISV/AI/Tech partner ecosystem Plan and execute end-to-end, integrated partner co-marketing initiatives in collaboration with internal and external cross-functional teams Oversee the development of jointly produced digital content, including web assets, blog posts, whitepapers, case studies, etc. Act as a liaison between ISV/AI/Tech partners and internal teams, including Industry & Solutions, Field Marketing, Events, and Product Own partner marketing planning and project manage the initiatives that bring them to market M

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,

The Role MongoDB is building two connected capabilities that determine how we protect and grow our most important customer relationships: a Critical Accounts program that catches at-risk accounts early and drives them to a durable resolution, and a Customer Health Platform, an AI-powered one-stop shop for customer insights, combining health, adoption, engagement, and experience data with proactive risk identification and recommended actions. This role owns both. You will build and lead the Critical Accounts function end to end: the framework, the global operating model, and the executive reporting that gives leadership real-time visibility into the portfolio. You will also set the long-term vision and strategy for the Customer Health Platform: what it scores and alerts on, which teams and use cases it serves next, and how it becomes the one-stop shop for customer insight across the company. You will be accountable for how MongoDB identifies, intervenes on, and learns from customer risk, and for where the Customer Health platform goes next. This is a build role. You are creating the operating rhythm, the standards, and the team structure as much as you are running them. This role can be based out of our US offices or remotely in the United States. What You Will Do Own and Build the Critical Accounts Program Design and iterate on the global Critical Accounts framework: entry/exit criteria, account archetypes, playbooks, health assessment templates, and Get Well Plan standards. Design the central Critical Accounts org structure and hire a lean program management team, establishing this as a durable, well-resourced function within Customer Strategy. This team is the connective tissue that ensures every qualifying account is triaged, resourced, tracked, and ultimately graduated with documented outcomes. Own intake and triage standards so every qualifying nomination is validated, classified, and assigned a process lead and resource plan without delay. Design the pat

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We're entering a world where AI agents don't just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents' ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova's throughput, correctness, and operational rigor grows dramatically. We're looking for a Senior Software Engineer who wants to go deep on the engine internals and the

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Dun & Bradstreet Technology and Corporate Services India LLP is the global center of excellence for providing technology and analytics solutions and services to Dun & Bradstreet and its clients globally. We specialize in delivering predictive models and decision management solutions to convert raw data into actionable insights. Our customers include banks, financial services organizations, credit bureaus, rating agencies and thousands of businesses across the globe. Headquartered in Hyderabad (India), the company employs high caliber data scientists, economists, analytics professionals and data engineers from some of the finest institutions in the country striving to create more transparent credit & business environment and robust economies. key Responsibilities: Build & support automation requirement & opportunities across analytics programs Build Power BI dashboards, semantic models, KPI scorecards, executive reports Partner with BU stakeholders to identify AI use cases and deliver intelligent knowledge discovery capabilities. Design and develop monitoring and QA automation solutions to streamline processes, reduce manual effort, and improve operational efficiency.</

Position Overview We are seeking a Senior Manager, Marketing Operations to own the systems, workflows, documentation, and automation needed to make Marketing Operations more scalable, reliable, and AI-enabled. This role will help modernize how Marketing Ops works by improving marketing systems governance, reducing process and technical debt, and identifying practical opportunities to simplify or automate manual GTM workflows. The ideal candidate brings deep hands-on experience with marketing automation, data quality, workflow design, and cross functional GTM operations. They should be comfortable working across Marketing, Sales, Sales Ops, Web, and internal systems/data teams to improve how GTM work gets done. This includes clarifying ownership, improving documentation, reducing manual work, and building more scalable systems and workflows. Key Responsibilities Own governance, documentation, and operational health for core marketing systems, including Marketo and adjacent GTM tools. Identify and reduce technical debt across marketing-owned systems, integrations, workflows, field/process governance, and recurring operational processes. Build and manage a Marketing Ops systems and automation roadmap focused on improving speed, quality, consistency, and team capacity. Establish clear operating standards for marketing systems and workflow requests, including intake, prioritization, documentation, ownership, escalation paths, and change management. Partner across Marketing, Sales, Sales Ops, Web, and internal systems/data teams to clarify ownership, requirements, and handoffs for shared GTM workflows, including enrichment, routing, lifecycle processes, data quality, and CRM handoffs. Triage systems and workflow issues, identify root causes, and coordinate resolution with the right owners. Identify high-friction manual workflows that can be simplified, a

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the center of innovation and creativity. MongoDB is seeking a Sr. Staff Software Engineer to join the Atlas Core Data Services organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product, along with the API Platform and Developer Tools. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Core Data Services organization builds the software that manages the Atlas cluster infrastructure hosted on the three major cloud providers (AWS, Azure, and GCP), as well as the software that manages the MongoDB database hosted on that infrastructure. We are constantly challenged to design features that ensure Atlas clusters are secure, available, durable, and performant while running large-scale, critical workloads. The Sr. Staff Engineer in this role will drive innovation across the organization and the company, setting technical standards and direction that enable future growth and velocity. We are looking for engineers with the experience and high standards needed to lead at that scale. Our organization champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies systems expertise to build the foundational infrastructure of a popular database, join us. Let's build a faster, more reliable, and highly scalable database platform together. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Define standards and vision for the mission-critical Atlas SaaS data

Who We Are Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started. We’re refining our product and expanding our reach to empower even more families. We’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change. The Opportunity Good Inside is seeking a Senior Associate, Marketing Analytics to own and elevate analytics across our full marketing conversion funnel from first click to paid subscription to long term retention. This is a high-impact role at the center of Growth and Data. You’ll analyze paid acquisition performance, sharpen our understanding of CAC and LTV, and connect marketing spend to real revenue outcomes. We’re looking for someone who currently sits at the intersection of data and marketing and owns full funnel performance, understands subscription businesses, thinks in unit economics, and moves quickly. If you love turning messy funnel data into clear direction, and helping a team spend smarter, this role is for you. This is a hybrid role based in Manhattan with three days onsite. What You’ll Own Full-Funnel Performance Own marketing analytics from first click to lifetime value. Define and track the metrics that actually matter, CAC, LTV, retention, payback, and connect campaign performance to real revenue outcomes. Smarter Spend Partner with Growth to evaluate channels (Meta, Google, TikTok, affiliates) through a long-term profitability lens. Recommend where to double down, pull back, or test next. Measurement That Tells the Truth Improve attribution, design increm

Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. We’re looking for an experienced product manager passionate about joining this mission to lead this product opportunity. 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: Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products. Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc Define, build and launch the next generation of database monitoring and optimization capabilities for our customers Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource. Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across th