Senior Analytics Engineering Manager Jobs

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

MongoDB is hiring a Senior Manager, Corporate Development & Ventures to help drive our inorganic growth strategy — partnering closely with our Sr. Director of Corporate Development & Ventures on M&A and strategic investment activity. This role is for someone who wants to own M&A execution end-to-end. You'll independently source, evaluate, and run a steady pipeline of deals, partnering with the Sr. Director and VP on our highest-stakes transactions. Once a deal signs an LOI, you become the day-to-day driver — the person Finance, Legal, HR, and the business count on to get it through close and integration. You'll work closely with Product, Engineering, Finance, People, and other business stakeholders to help shape decisions about MongoDB's position in data infrastructure and AI. The role sits primarily in Corporate Development, with regular exposure to our Ventures platform. What you’ll bring Has 4–8 years of experience in Corporate Development, Investment Banking, Private Equity, or Venture Capital Has meaningful experience running deal workstreams and is ready to own transactions end-to-end with real autonomy Is comfortable operating independently, while knowing when to bring in the Sr. Director, VP, or other senior leaders Demonstrates strong judgment, particularly under time pressure and incomplete information Holds a high bar for analytical rigor, but knows when to move without perfect data Can engage credibly with technical leaders while maintaining a clear business perspective Is direct, low-ego, and accountable — focused on outcomes, not process What you will do Own Deals, End-to-End Independently source, evaluate, and run your own pipeline of M&A and investment opportunities, from initial engagement through LOI Build and pressure-test valuation, structure, and strategic rationale, partnering with the Sr. Director and VP on the most complex or highest-stakes calls Know when to move on your own judgment and when to escalate Be the Function's

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a highly skilled Senior Image Quality Engineer to take ownership of image quality development for our IP camera portfolio. The ideal candidate has deep expertise in camera ISP tuning, 3A algorithm optimization, sensor characterization, and embedded imaging pipelines. This role involves close collaboration with cross-functional teams and offers significant technical ownership. Key Responsibilities Lead end-to-end image quality development for assigned camera platforms. Perform ISP tuning across noise reduction, sharpening, color correction, gamma, HDR/WDR, temporal filtering, and related modules Develop, evaluate, and optimize 3A algorithms (AE / AWB / AF). Conduct both subjective and objective IQ evaluations using lab tools and real-world scenes. Collaborate with firmware, hardware, optics, and product teams to resolve IQ issues and improve performance. Perform sensor analysis, lens shading tuning, black-level calibration, and other calibration tasks. Support ISP integration and optimization on Ambarella and SigmaStar (sstar) SoCs. Build automation scripts and analysis tools using Python or C/C++. Work with manufacturing and validation teams to ensure consistent IQ quality in production. Candidate Profile & Qualifications Bachelor’s or Master’s in Electrical Engineering, Computer Science, Imagi

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. 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 the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have exper

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. 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 the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have exper

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. 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 the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go,

GAQ427R211 Databricks is seeking an operational leader to serve as Senior Manager, Order to Revenue Process Compliance. As Databricks continues to scale, protecting our usage-based revenue engine requires dedicated oversight at the intersection of product metering, billing systems, and strategic partner relationships. In this role, you will lead the core execution of usage remediation, partner reporting workstreams, and root cause analysis—bridging the gap between raw product metering data and financial ground truth. Primary Responsibilities Remediation & Root Cause Analysis (RCA) : Execute the categorization and resolution of various SLA and usage issues impacting customers and financial accuracy, lead mandatory cross-functional RCAs with Engineering to address finance-impacting issues, ensuring policy and execution align to compliance guardrails at scale. Metrics, Reporting & Financial Reserves : Maintain necessary metrics, reporting, and data assets to inform leadership decision-making, influence project prioritization to resolve recurring issues, and inform financial reserves or adjustments to revenue recognition processes. Partnership Governance & Outbound Reporting : Catalog and maintain a deep understanding of key partnership terms, create and preserve standard operating procedures (SOPs), oversee the execution of outbound reporting workstreams by staff, and sign off to own operational outcome results. Cross-Functional Collaboration : Partner closely with Engineering and business stakeholders to turn usage insights into operational improvements and ensure compliance with partnership arrangements. Minimum Qualifications Education : Bachelor’s degree in Accounting, Finance, Business, or a related technical field. Professional Experience : 10+ years of relevant experience, with extensive expertise in business partnering, influencing cross-functional stakeholders, and consumption-based revenue recognition/accounting. Technical Acumen : Exp

Reporting to the Senior Vice President of Product Engineering, the Director, Content Engineering is responsible for leading the technology organization for GHX’s Content Engineering portfolio. The role requires leading geo distributed engineering organizations to deliver key solutions in Content space focusing on Content Workbench, Price Workbench and Contract Management services. Role Responsibilities Lead the strategic direction, planning and execution for Content Engineering leaders and teams to deliver business and customer focused roadmaps. Bring deep domain expertise and hands on experience with Software Engineering, Data products, AI in SLDC and System architecture, preferably in Supply Chain Domain. Strong Experience in cloud-based SaaS services, API & UI frameworks, and Microservice architectures. Hands on experience with GenAI and Agentic Frameworks Leading and mentoring geo distributed leaders and building high performance cross geo organizations. Develops relationships at all levels of the organization as a trusted leader and strong communication skills. Excel in all areas of strategy development, including project management, analysis, problem solving, verbal and written communication, consensus building, and people development. Understand the financial impacts and manage budgetary decisions for technology solutions and forecast future technology practices needed within the area of expertise. Skill Requirements Experience in building and leading geo distributed teams to deliver critical roadmap items. Experience leading and mentoring leaders and managers to build high performance organizations. Deep domain experience in Data, SaaS and System Architecture space. Deep experience in building mission critical SaaS/Cloud based service Strong communication and collaboration skills, and experience working with cross functional partners and executives. Experience with high availability architecture and design for mission critical applications.

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. The Senior Network Engineer serves as a technical leader in the design, implementation, and optimization of our enterprise and cloud network infrastructure. This role partners closely with Technology leadership, engineers, and end users to deliver secure, scalable, and high-performing network solutions with a strong focus on AWS and Google Cloud Platform (GCP). Responsibilities: Define cloud network requirements, establish architecture, and create detailed designs and standards that meet business goals. Manage and support LAN/WAN implementations and configurations, including routing, switching, firewalls, wireless, voice, and video solutions. Provide leadership in managing network infrastructure and related support organizations, including MSPs, cloud providers, and communications vendors. Perform root-cause analysis and problem resolution; provide recommendations, build consensus, and execute solutions. Recommend appropriate courses of action to network infrastructure engineers, NOC, MSPs, and IT management on technical and operational issues Essential skills and/or Certifications: Bachelor’s Degree in Computer Science, Information Systems, or other related field Minimum 8 years of experience in network engineering Expert knowledge of enterprise-level cloud architecture with a focus on network design and implementation (AWS and GCP, with a focus on GCP). Networking certifi

Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior Data Scientist to join a verification and validation team that evaluates safety-critical AI systems. You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects. In this role, you will: Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability. Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures. Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions. Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies. Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation. Scale Pipelines

Job Requisition ID # 26WD101684 Position Overview The Autodesk Enterprise Customer Success organization is looking for an accomplished, and enthusiastic individual to join our Consulting Services team as a Senior Implementation Consultant for construction in Japan. As a Senior Implementation Consultant, you will use your construction industry and technical knowledge to help our customers put design, engineering, and construction solutions into real-world. While we support hybrid work, you will need to travel to our customer site and required to come to office when required. You will report to a consulting manager and work directly with our customers to offer consulting services including process improvement and implementation strategies, software training, configuration, mentoring and technical guidance. Providing these services will ensure customers are maximizing the value from their investment in Autodesk technologies and ensuring the success of transformational changes to their business. You will also track the value of the solutions we deliver and the scale at which they are adopted. Responsibilities Work with Autodesk's customers to implement construction solutions related to document management, data management, field workflows and handover/ turnover Analysis, improvement and implementation of processes and workflows Lead consulting engagements with customers, and document the value delivered during those engagements Apply Autodesk product sets to detailed industry requirements and workflows Configure solutions based on product capabilities and customer requirements <

Job Requisition ID # 26WD101685 Position Overview The Autodesk Enterprise Customer Success organization is looking for an accomplished, and enthusiastic individual to join our Consulting Services team as a Senior Implementation Consultant for construction in Japan. As a Senior Implementation Consultant, you will use your construction industry and technical knowledge to help our customers put design, engineering, and construction solutions into real-world. While we support hybrid work, you will need to travel to our customer site and required to come to office when required. You will report to a consulting manager and work directly with our customers to offer consulting services including process improvement and implementation strategies, software training, configuration, mentoring and technical guidance. Providing these services will ensure customers are maximizing the value from their investment in Autodesk technologies and ensuring the success of transformational changes to their business. You will also track the value of the solutions we deliver and the scale at which they are adopted. Responsibilities Work with Autodesk's customers to implement construction solutions related to document management, data management, field workflows and handover/ turnover analysis, improvement and implementation of processes and workflows Lead consulting engagements with customers, and document the value delivered during those engagements Apply Autodesk product sets to detailed industry requirements and workflows Configure solutions based on product capabilities and c

Who You Are You are a seasoned security professional with a deep passion for uncovering vulnerabilities and improving product security through technical assessments and hands-on penetration testing. You pride yourself on being able to execute sophisticated security tests, identify issues, and implement pragmatic solutions, all while keeping the customer experience central. You enjoy working collaboratively across teams and have the ability to communicate complex technical concepts in a clear, approachable manner. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for assessing the security of our products including MongoDB Atlas Cloud , Ops Manager , Kubernetes Operator , and the MongoDB Server ( Community and Enterprise editions). Our team provides assurance that new MongoDB products and features are built to meet our customers’ high security needs through rigorous threat modeling, code analysis, and penetration testing. The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects our customers and their data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The Product Security team: Conducts rigorous penetration testing and security assessments of MongoDB products Develops and deploys advanced AI tooling and modern automation to enhance assessment efficiency and workflows Works closely with Product and Engineering teams to advocate for security best practices and remediate vulnerabilities Builds a developer-driven security program where there is tight integration between engineering artifacts, process, and tooling Uses software architecture and coding patterns to reduce the impact of security issues Role Responsibiliti

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox’s 21-month Associate Product Manager (APM) rotational program is designed to cultivate well-rounded product leaders through mentorship, guided learning, and hands-on execution. You’ll have the opportunity to collaborate with cross-functional partners to learn about our full platform ecosystem, applying that knowledge to build and enhance features used by millions of players and creators every day, spanning payment systems, consumer mobile apps, social features, and game development. Applications for this position will close on Friday, October 30th at 5 PM PST - we recruit on a rolling basis. You Will: Build product features that millions of users will interact with every day, sharing updates, progress, and learnings to stakeholders across the business. Partner with senior product managers to define product strategy and roadmaps. Collaborate with cross-functional partners in design, data science, product marketing and engineering to write specifications, experimentation plans and go-to-market briefs. Conduct user research, gather feedback, and analyze data to identify creator community needs and opportunities. Support market research and competitive analysis to inform prod

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr