Lead Senior Software Development Engineer Ii Data Jobs

Role Description Dropbox is seeking a Vice President of Revenue Operations to define and lead the operating strategy for the company’s global B2B go-to-market organization. This executive will be responsible for building a high-performing, scalable revenue engine that enables predictable and efficient growth across SMB, Mid-Market, and Enterprise segments while supporting Dropbox’s evolution across product-led, sales-assisted, and enterprise motions. This leader will serve as a key strategic partner to the Chief Business Officer and broader executive leadership team, translating company strategy into the operating model, planning frameworks, systems, insights, and execution mechanisms required to deliver durable growth. The role will own Revenue Operations and Marketing Operations across the customer lifecycle, ensuring tight alignment between demand generation, pipeline creation, sales execution, retention, expansion, and overall revenue performance. The VP of Revenue Operations will have enterprise-wide accountability for revenue planning, forecasting, segmentation, capacity and coverage strategy, incentives, GTM systems, analytics, operating cadence, and revenue productivity. This leader will play a central role in shaping how Dropbox allocates resources, evaluates performance, scales new products and motions, and modernizes its GTM organization through data, automation, and AI. Responsibilities Define and lead Dropbox’s global revenue operating strategy, ensuring the company’s GTM model is designed to support long-term growth, efficiency, and increasing enterprise complexity Serve as a strategic advisor to the Chief Business Officer and executive leadership team, bringing data-driven insights and recommendations to critical decisions around growth, investment, resource allocation, organizational design, and GTM strategy Own the end-to-end revenue operating model across Sales, Marketing, Customer Success, and Support, including segmentation, coverag

About the Role: We are seeking an experienced Risk Management professional to lead and strengthen the organisation's Operational Risk and Outsourcing Risk Management framework. The role will be responsible for identifying, assessing, monitoring, and mitigating operational and third-party risks across payment products, merchant acquiring, cross-border payments, and outsourced business operations. The incumbent will work closely with business, operations, compliance, technology, audit, and leadership teams to ensure adherence to regulatory requirements, network guidelines, and internal risk policies. Key Responsibilities Operational Risk Management: Develop, implement, and enhance the Operational Risk Management (ORM) framework, including Risk and Control Self-Assessments (RCSAs), across the organisation. Identify, assess, monitor, and mitigate operational risks arising from payment operations, merchant onboarding, transaction processing, and customer servicing. Drive corrective action plans arising from RCSA findings and control gaps. Monitor Key Risk Indicators (KRIs), operational losses, incidents, and control effectiveness. Lead root cause analysis and remediation for operational risk events. Own SOP and policy lifecycle management — including drafting, versioning, and periodic review — for all operational risk policies and procedures. Outsourcing Risk Management: Manage end-to-end outsourcing risk governance for third-party vendors involved in KYC verification, PAN validation, customer onboarding, payment processing, and other critical functions. Maintain and operate a vendor categorisation framework (IT/Non-IT, critical/non-critical outsourcing) and ensure risk assessments are calibrated to vendor tier and exposure. Ensure compliance with RBI Outsourcing Guidelines, PA Master Directions 2025, and all applicable regulatory requirements. Conduct vendor due diligence, risk assessments, performance reviews, and periodic audits. Monitor SLA adherence, control ef

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 55224

Role Description Dropbox is seeking a Vice President of Revenue Operations to define and lead the operating strategy for the company’s global B2B go-to-market organization. This executive will be responsible for building a high-performing, scalable revenue engine that enables predictable and efficient growth across SMB, Mid-Market, and Enterprise segments while supporting Dropbox’s evolution across product-led, sales-assisted, and enterprise motions. This leader will serve as a key strategic partner to the Chief Business Officer and broader executive leadership team, translating company strategy into the operating model, planning frameworks, systems, insights, and execution mechanisms required to deliver durable growth. The role will own Revenue Operations and Marketing Operations across the customer lifecycle, ensuring tight alignment between demand generation, pipeline creation, sales execution, retention, expansion, and overall revenue performance. The VP of Revenue Operations will have enterprise-wide accountability for revenue planning, forecasting, segmentation, capacity and coverage strategy, incentives, GTM systems, analytics, operating cadence, and revenue productivity. This leader will play a central role in shaping how Dropbox allocates resources, evaluates performance, scales new products and motions, and modernizes its GTM organization through data, automation, and AI. Responsibilities Define and lead Dropbox’s global revenue operating strategy, ensuring the company’s GTM model is designed to support long-term growth, efficiency, and increasing enterprise complexity Serve as a strategic advisor to the Chief Business Officer and executive leadership team, bringing data-driven insights and recommendations to critical decisions around growth, investment, resource allocation, organizational design, and GTM strategy Own the end-to-end revenue operating model across Sales, Marketing, Customer Success, and Support, including segmentation, coverag

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. . About the Role, Mission or Department Overview As an Engineering Manager for Cybersecurity at The New York Times, you will lead the team responsible for building and operating the platforms, tooling and services that keep our systems secure at scale. Our engineers design and run the infrastructure that underpins vulnerability scanning, secrets management, secure-by-default platforms and other core security capabilities used across the entire technology organization. You will work with partners in Cybersecurity, Developer Platforms, Enterprise Technology and Product Engineering to deliver reliable, developer-friendly security services. This is a hands-on leadership role where you'll balance people management with technical decision-making. You'll coach engineers, shape technical roadmaps, and help your teams make risk-informed decisions that support both engineering goals and the broader business. You will report to the Director of Engineering, Cybersecurity within the Information Security organization. Information Security helps prevent The Times from becoming news. Our department protects the journalists who report the news, the colleagues who support them, the platforms they rely on every day and the readers who depend on our products. We run programs across security engineering, application security, incident response, governance and more, partnering closely with teams throughout the company to keep our systems dependable and safe. Resp

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 24046

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments—so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you’ll lead LLM-first, evaluation-driven initiatives—near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you’ll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You’ll partner closely with Product Managers, E

About the Role: Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or recommendation anomalies post-release and escalate issues promptly. Continuously improve QA processes, metrics, and reporting for streaming and AI validation. Your Background: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands-on experi

About the Team DoorDash is looking for an exceptional Engineering Manager to lead the Merchant Tablet team — one of our most impactful and fast-moving product teams. Our mission: meet merchants where they are and build best-in-class Android and iOS apps, powered by AI, that help merchants run smarter, faster, and more confidently. This team owns the T0 tablet app — the primary surface through which tens of thousands of merchants manage live operations on DoorDash every single day. By creating intuitive and reliable apps, the team plays a critical role in helping merchants save time, improve efficiency, and grow their businesses. About the Role As the Engineering Manager for the Merchant tablet team, you will lead a group of talented backend and Android engineers to develop impactful features and scalable platforms. You will collaborate closely with cross-functional partners to execute a strategic roadmap that enhances merchant satisfaction and engagement. Your leadership will ensure the delivery of exceptional user experiences across mobile and web platforms while also shaping the team’s technical vision for the future. The team is also responsible for the quality and reliability of the android platform. This role requires a blend of technical expertise, strategic thinking, and a passion for building user-centric solutions in a fast-paced, dynamic environment. You’ll have the opportunity to make a significant impact by empowering merchants to succeed through innovative and tailored tools. You're excited about this opportunity because you will… Lead high-impact tech initiatives that shape our Merchant apps like building out an AI powered chat interface to solve live order issues. Drive eng-excellence for the tablet team through investments in reliability and observability. Work with a variety of cross-functional partners from product, design, analytics, engineering and S&O Provide architectural guidance and professional d

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

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. Engineering Manager, Home Infrastructure The Home Infrastructure team builds the mission-critical backend and data systems that power Roblox’s Homepage and Experience Details Page, two of the highest-traffic surfaces on Roblox. These surfaces reach the vast majority of Roblox’s daily active users and are core drivers of discovery, engagement, retention, and platform growth. We are a full-stack product infrastructure team responsible for content distribution across Roblox. Our systems support multiple modes of user interaction, including exploratory browsing, directed discovery, and personalized content recommendations across the many types of content that make up the Roblox ecosystem. This team sits at the intersection of large-scale distributed systems, machine learning-powered personalization, data infrastructure, and product experimentation. We partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, and other teams across Roblox to build the platforms that help users find the most relevant and engaging content. As Engineering Manager for Home Infrastructure, you will lead a team of Backend and Data Engineers responsible for the e

CPI Security is looking to hire a Corporate Controller to support and lead our accounting team, working out of our headquarters in Charlotte, North Carolina. CPI Security was founded in 1991 on an entrepreneurial spirit and a passion for helping and protecting others. What started as a company of 10 employees and 300 customers has grown into one of the nation's top 10 largest security providers with over 750 employees. Over the years, CPI has received many awards for excellence, such as twice-awarded SDM Dealer of the Year, Central Station of the Year, and the Marvel Award. The company leads the industry in alarm response times, is consistently ranked in the top 10 of electronic security businesses and is widely known as North Carolina and South Carolina's Top 25 Best Places to Work Position Summary: The primary responsibilities of the Corporate Controller are to: Manage all operational entities within the Accounting Department including accounts payable, collections, accounts receivable, payroll, inventory and revenue. Perform monthly close. Prepare monthly, quarterly and annual reports for Executive Management Team. Manage the treasury function for the organization. Prepare monthly compliance reports. This is an on-site position located at our corporate office in Charlotte, NC. Essential Functions The role will serve as a key business leader across multiple stakeholders within the company. Manage all operational processes within the accounting function including accounts payable, collections, accounts receivable, payroll, inventory and revenue. Ensure the company has relevant systems, financial controls, standard processes and procedures that support a strong internal control environment and an efficient operation The role will leverage and build systems and business process to achieve objectives and will require a continuous improvement mindset to build the scale to enable future synergistic gr

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac