Manager, Internal Product Analytics

Today, organizations struggle to ensure their most important digital experiences are working as intended because observability data is scattered across products and siloed in logical layers of their technical stack. We're building the system that fixes this: Journey Monitoring, a single centralized hub that brings together Real User Monitoring (RUM), Synthetics, and Product Analytics to bridge the gap between system health and user success. You'd be building a product that establishes a new functional observability layer, enabling teams to auto-discover journeys, track conversions and uptime side-by-side, and trace root causes across their full stack without cross-team handoffs. What you'll do: Drive the product vision and roadmap spanning the Journey Monitoring hub, including the journey map, details reports, automatically inferred journeys, and cross-product data federation. Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers, and other PMs across the Digital Experience Monitoring (DEM) products. Deeply understand the needs of distinct key personas: SREs and engineers (who monitor uptime and troubleshoot technical performance), product managers (who track conversion and investigate behavioral drop-offs), and business leaders (who care about outcomes and revenue impact). Design the functional observability layer that makes end-to-end flow monitoring intuitive — including the auto-discovery of user journeys from real traffic, Experience Level Objectives (XLOs), and seamless Bits AI integrations for automated root-cause investigations. Define how behavioral data and technical data come together to automatically surface whether a drop in conversion is caused by a technical failure (like a breached SLO) or a behavioral friction point. Engage directly with early customers and internal dogfooding users to iterate on usability, refine the journey map, and optimize the cross-sell and up-sell paths for

Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. 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 Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets) Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions) Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops Define how observability data and business data come together to serve unique use cases Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs Work on the product pricing Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools Who you are 5+ years of experience

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is building a centralized Pricing, Yield & Compensation function to bring rigor and visibility to how we price inventory, manage programmatic performance, and compensate our Ads and Lyft Business sellers. This is a high-visibility, cross-functional role sitting within the MBA StratOps function and touching Finance, Analytics, Sales, and Accounting daily. The Manager, Pricing, Yield & Sales Compensation will own three interconnected functions: setting and managing CPM floors, rate cards, and margin targets for our direct-sold advertising inventory; overseeing the performance and economics of our Audience Extension managed service; and partnering with Analytics and Accounting to design, calculate, and administer commissions and compensation for sellers across Lyft Ads and Lyft Business. This role requires an operator who is equally comfortable pulling margin reports, running a compensation calculation model, and holding a vendor accountable to a floor price. Responsibilities: Direct Inventory Pricing & Yield Management: Own the Lyft Ads rate card strategy across all direct-sold formats (display, in-app, sponsored placements) and enforce pricing discipline through the order management system, Boostr. Set and manage CPM floors and pricing tiers, and partner with Sales and Ad Ops to evaluate custom deal structures and non-standard pricing requests against margin thresholds. Monitor sellthrough, utilization, and margin by product line, and surface risks and opportunities in weekly and monthly yield reviews. Managed Service Performance Oversight: Serve as the internal owner of our vendor led Audience Extension managed service performance, holding the vendor accountable to agreed CPM targets, margin commitments, and delivery standards. Conduct regular performance reviews of Vendor campaigns,

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities. Responsibilities & Focus Areas: Technical Execution & Consumption Activation: Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value Coa

Datadog is a world-class monitoring and security platform for cloud applications. We're dedicated to creating, developing, and supporting our product and customers, fostering seamless collaboration and problem-solving among Dev, Ops, and Security teams globally. Built by engineers for engineers, our SaaS product is trusted by organizations of all sizes across various industries, driving digital transformation, cloud migration, and infrastructure monitoring for our customers' entire technology stacks. As cloud technologies continue to evolve and digital operations become ever more crucial, Datadog remains at the forefront of innovation and is well-positioned for sustained growth. Datadog's Finance team partners with stakeholders across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues its rapid and efficient growth. The Equity Administration team is responsible for overseeing the full cycle of stock administration on a global basis, collaborating with groups across Accounting, Tax, People, Payroll, and Legal to manage Datadog's equity plans worldwide. Our work spans the processing of equity transactions including RSU releases, stock option exercises, and ESPP purchases; management of equity-related inquiries from employees, executives, investors, and other key partners; day-to-day management of the E*TRADE Equity Edge Online platform; global equity reporting and tax compliance; oversight of equity procedures, policies, and controls; and employee education on equity programs. We are seeking a hands-on Equity Administration Assistant Manager to own our complex and high-risk equity workstreams. Reporting to the Senior Manager, Equity Administration, the Assistant Manager will serve as a first level preparer or reviewer on equity transactions, assist with process documentation, and work closely with various internal teams across Accounting, Tax, People Operations, Payroll, and Legal. This is a ro

Datadog is looking for a Social Media Manager to advance our social media program. This role sits at the intersection of content creation, strategy, and corporate communications — owning the day-to-day execution of Datadog's social presence while helping shape how social supports our broader comms and marketing mission. You'll report to our Senior Group Manager of Corporate Communications, while working in close partnership with the Senior Social Media Manager and the rest of the Corporate Communications team. This is a role for someone who is equal parts creative and analytical: you can write a scroll-stopping post and explain exactly why it worked. 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: Manage the content calendar and day-to-day execution across social channels, including Instagram, LinkedIn, and X. Develop and execute social communication plans for product announcements, launches, global events, and other key company initiatives in partnership with communications, marketing, and cross-functional teams. Create and manage social content and programs that showcase Datadog, including employee advocacy initiatives, internal and external newsletters, and content supporting sponsored and Datadog-hosted events. Monitor social channels and engage with relevant conversations, identifying cultural moments and routing mentions that require broader support to the appropriate internal teams. Analyze social performance and translate results into actionable insights and reporting for executives and cross-functional stakeholders. Partner with the Senior Social Media Manager and larger Corporate Communications team to continually refine Datadog’s social strategy, processes, and approach to audience engagement. Who You Are: You have 4–6 years of experience in s