Jobs in United States

Senior Product Analytics Associate in United States

2,114 active opportunities · Updated October 2026

Explore current senior product analytics associate jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

D
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -87.8%

From $214K/yr

Quick readStrong listing-quality and freshness signals

Datadog is seeking a strategic, visionary, and results-oriented Senior Director, Growth Marketing – Organic Growth (SEO/GEO/PLG) to lead our organic acquisition strategy across traditional search engines and emerging AI/LLM platforms. This leader will own the vision, strategy, and operating model responsible for driving measurable growth in organic traffic and inbound pipeline through content programs, off-page authority, and AI/LLM discoverability initiatives. In this role, you will lead a team of organic growth specialists, while partnering closely with Website Experience, Product Marketing, and Engineering teams. You will define Datadog's long-term organic growth strategy, establish investment priorities, and ensure the organization is positioned to win across an increasingly complex discovery ecosystem. 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: Own Datadog’s content-led SEO/GEO/PLG strategy, defining the topics, formats, and ecosystems that drive measurable growth in traffic and pipeline Lead, coach, and develop a high-performing team Identify and prioritize high-impact content opportunities across product areas and influence cross-functional teams to bring that content to life Map and optimize Datadog’s presence across the full ecosystem of LLM-ingested content (e.g., YouTube, Reddit, review sites) to improve AI-driven discoverability Design and execute a comprehensive off-page strategy, including link acquisition, digital PR, and authority-building initiatives Partner closely with the Website Experience team, who owns technical SEO, to ensure content is effectively surfaced, indexed, and performant Create and contribute to high-impact content (e.g., flagship pieces, new formats, or experimental channels), setting the standard for qualit

SQLGitAIGo
D
📍 California, USA, United States· Full-time· Remote
✓ High-confidence listingCompany trend -87.8%

From $163K/yr

Quick readStrong listing-quality and freshness signals

Senior Partner Program Manager - Strategic Initiatives Remote (US) or New York, New York, USA We're looking for an experienced Senior Partner Program Manager to design, launch, and scale strategic initiatives across Datadog's Channels & Alliances organization. In this role, you'll identify opportunities where targeted partner programs can accelerate business outcomes beyond Datadog's standard partner framework and lead those initiatives from concept to execution. This includes driving growth in a specific region, accelerating adoption of a new product, enabling a strategic collaboration with a partner, or creating a new referral or incentive motion. You'll be responsible for turning partner business opportunities into scalable programs. You'll work closely with partner leaders and cross-functional stakeholders to evaluate opportunities, align teams, execute, and continuously iterate based on performance. This is a highly visible role that requires strategic thinking, strong execution skills, and the ability to influence across a complex organization. This is an opportunity to join a high-growth cloud software company and help shape the future of Datadog's partner ecosystem. 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 Identify opportunities to accelerate partner-driven growth through targeted programs and initiatives that complement Datadog's standard partner framework Design, launch, and scale custom partner programs that support strategic business priorities, including regional growth initiatives, new product adoption, partner incentives, referral motions, and strategic collaboration agreements Partner with stakeholders across Channels & Alliances, Sales, Deal Desk, Legal, Finance, Operations, Marketing, Product, and Enablement teams to bring p

M
📍 United States· Full-time
✓ High-confidence listingCompany trend -97.2%

From $151K/yr

Quick readStrong listing-quality and freshness signals

MongoDB’s Security Product Management team is seeking a Staff Product Manager to own security, compliance, and public sector product strategy within Atlas for Government (A4G). In this role, you will be a key member of the security product management team, helping make data security a market differentiator that enables MongoDB to win in enterprise and regulated industries. You will lead product strategy and execution for capabilities and programs that support federal compliance requirements and broader regulated-industry needs. You will work across Engineering, Compliance, Legal, Security, and Go-to-Market teams to translate complex regulatory and customer requirements into clear product investments, roadmaps, and outcomes. This role is suited for a candidate who can orchestrate multiple interlinked product areas, own cross-team product and architectural trade-offs, and align senior stakeholders around multi-year bets. You will be expected to identify opportunities and dependencies that cut across team boundaries, bring clarity to ambiguous problem spaces, and establish reusable ways of working that help MongoDB deliver secure, compliant platform capabilities for public sector and other regulated markets. You will partner closely with senior engineering and business leaders to evaluate trade-offs, sequence investments, and bring clarity to decisions that balance customer impact, execution risk, and long-term business value. This role can be based out of of our offices or remotely in the United States. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Person on US Soil. Responsibilities Security and Compliance Product Strategy Own the public sector compliance roadm

MongoDBAWSAzureGCP
M
📍 United States· Full-time
✓ High-confidence listingCompany trend -97.2%

From $168K/yr

Quick readStrong listing-quality and freshness signals

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across the US. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui

MongoDBAWSAzureKubernetes
P
Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, United States· Full-time· Remote
✓ High-confidence listingCompany trend -86.4%

From $163.6K/yr

Quick readStrong listing-quality and freshness signals

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 . As a Sr. Staff Technical Program Manager for Search Signals at Pinterest, you will lead company-level programs that are foundational to Pinterest’s strategic transformation into a shopping and inspiration platform. This role is responsible for driving innovation and execution across offsite signals, content understanding, and relevance, with direct impact on multiple company OKRs. You will operate at the intersection of technical depth, cross-org influence, and long-term business strategy, shaping the future of search and personalization at Pinterest. What you’ll do: Strategic Leadership & Vision Envision and trailblaze the company’s approach to leveraging offsite and onsite signals, anticipating future business, technical, and regulatory challenges. Drive the creation and evolution of the company-wide roadmap for signals,

AWSRestAIGo
P
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -86.4%

From $208.6K/yr

Quick readStrong listing-quality and freshness signals

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 . Intro : Pinterest’s Service Configuration & Coordination team builds the platforms, APIs, and tooling that make dynamic configuration and service coordination safe, scalable, and reliable for every service across regions and clouds, serving as the central hub for cross-functional alignment and system orchestration. As a Senior Staff Software Engineer (IC17) , you’ll own the end-to-end technical strategy and long-term vision for our configuration and coordination infrastructure. You’ll define the future of these mission-critical systems, partnering closely with Traffic, Compute, Observability, and Cloud Architecture teams to deliver robust, high-performance solutions at scale. What you’ll do: Orchestrate the long-term technical vision for configuration ecosystems to ensure feature flags, ML settings, and experiments utilize unified pave

AWSCI/CDRestAI
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.9%

From $191K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-

PythonJavaKubernetesGit
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.9%

From $196K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: As a Senior Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team. Our team is a diverse group of engineers, data scientists, and product managers who are dedicated to creating optimal pricing models for our hosts. We work closely with product engineers, designers, and other cross-functional partners to ensure our models are effective, user-friendly, and contribute to the success of our hosts. ners The Difference You Will Make: In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques. Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates. You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals. A Typical Day: Collaborating with data scientists and product managers to understand project requirements and desired outcomes Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations Analyzing model performance and making necessary adjustments Presenting findings and progress updates to team members and stakeholders Working with product engineers and designers to integrate models into user-friendly tools for hosts Your Expertise: 5+ years of experience in machine learning engineering Proven experience in developing and implementing machine learning models, preferably reinforcement learning mo

PythonMachine LearningAIGo
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.9%

From $248K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Media Foundation team builds the core platforms and infrastructure that power photo and video capture, upload, processing, storage, and delivery across Airbnb's products, at a massive global scale. We partner closely with Product, Design, Data Science, Trust, and Infrastructure teams to ensure every image and video guests and Hosts see is fast, high-quality, and reliable, from the moment a Host uploads a photo to the moment a Guest views it in search results. The Difference You Will Make: As the Senior Engineering Manager for Media Foundation, you will lead a team of engineers to build and operate Airbnb's media infrastructure, the foundation powering every photo, video, and document that users interact with on the platform. Capabilities include uploads, AI/ML transformations, distribution, and presentation within the product. You will shape the team’s vision and help steer the organization towards our larger goals. This includes day-to-day operations, technical deep dives, community engagement with internal engineering teams, and strategic planning. As the technical and organizational leader for Media Foundation, you own the reliability, scalability, and evolution of the systems that power every media interaction on the Airbnb platform from the moment a host uploads a photo to the instant a guest streams a listing video. Your experience in both media technology and people management will be essential to the maintenance, modernization, and innovation of Airbnb's media platform. You set the bar for engineering excellence, define what great looks like for your team, and crea

A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.9%

From $232K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb's mission is to create a world where people can Belong Anywhere. As we grow to achieve that mission, we're looking to add a technical, hands-on, and mission-driven Senior Manager of Technical Program Management (TPM) for the Infrastructure team to lead AI Platforms initiatives spanning Search Relevance, Machine Learning Infrastructure (MLI), and Search Knowledge Infrastructure (SKI). This person will partner with our engineering & product teams to build/enhance data-driven decision making across multiple areas in Airbnb. They will partner closely with senior ICs and engineering directors across Airbnb on processes, strategy and execution. In this role, you will collaborate closely with the Machine Learning (ML) engineers, infrastructure engineers and product managers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace. The Search Relevance, Machine Learning Infrastructure (MLI), and Search Knowledge Infrastructure (SKI) teams power the ranking, recommendations, model infrastructure, and search intelligence capabilities that make up a core part of Airbnb's AI Platforms, including: Search Ranking for Stays, Experiences, and Services, Home Page Recommendations, Search Bar AutoSuggest and Autocomplete, Marketing Technology, and the ML infrastructure and platform capabilities that support them. The team also creates the fabric for personalization and the underlying model infrastructure, used both on and off platform for Airbnb. We collaborate with many teams including Search Infrastructure, Guest and Host Experiences, MD

Machine LearningAIGoRust
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.9%

From $244K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: AI and ML are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing, we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. The team develops and enhances AI models, ML services, and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for a wide range of applications at Airbnb. The richness of Airbnb's data, the complexity of its marketplace, and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to long-term innovation to solve complex problems, and to do that we need experienced ML ​​The Difference You Will Make: In this Senior Staff role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products (e.g., assistive agents, issue resolution, and tooling). Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently. You will partner closely with product, engineering, design, operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes. A Typical Day: Define evaluation strategy and suc

AgileAIGoRust
A
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -98.9%

From $248K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our mission at Marketing Technology is to provide a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with our customers effectively. Every day, millions of Airbnb customers are reached via our streamlined platform over comprehensive marketing channels such as Email, Push, SMS, Google Ads, Facebook Ads etc. We deliver substantial business impact by enabling numerous stakeholders across the company, including Marketing (Brand and Performance), Guest, Host, Airbnb Org, Policy, and more. The Difference You Will Make: As a Senior Staff Software Engineer on the Content Platform team, you'll set the technical direction for the org's transformation into an AI-driven system that turns a marketing brief into a fully realized campaign in minutes, not months. You'll own the technical strategy across a complex, multi-team surface area spanning a CMS platform, no-code authoring tools, rendering infrastructure, and an emerging agentic layer, all operating at a scale where the content produced is consumed by millions of Airbnb users daily. You will partner with engineering leadership, product, design, and marketing stakeholders across the company to define multi-year technical strategy, resolve the org's hardest cross-team technical challenges, and raise the bar for engineering excellence across Marketing Technology. A Typical Day: As a Senior Staff Software Engineer on Content Platform, you will: Define and drive technical vision and strategy for the Content Platform org, ensuring architectural decisions scale across teams and ali

JavaSQLRedisGraphql
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -83.9%

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We’re seeking a senior lawyer to participate in commercial legal strategy and execution across OpenAI’s fast-growing infrastructure portfolio. This is a cross-functional role that will partner closely with procurement, supply chain, partnerships, finance, and product teams to structure, negotiate, and manage the transactions that will support OpenAI’s long-term infrastructure ambitions. We’re looking for an experienced infrastructure transactions lawyer who thrives in ambiguity and wants to help define the commercial playbook for infrastructure efforts in the AI era. This role reports to the Associate General Counsel for infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. In this role, you will: Own commercial legal strategy and risk management for OpenAI infrastructure transactions. Draft, negotiate, and advise on complex agreements with infrastructure suppliers, manufacturers, distributors, and technology partners. Support strategic partnerships involving AI infrastructure and hardware supply chains. Develop frameworks for procurement, licensing, and collaboration across the infrastructure ecosystem. Partner with finance and operations teams to align contract terms with business and compliance requirements. Collaborate with policy and regulatory colleagues on issues impacting global supply chains, export controls, and manufacturing. Build scalable, efficient contracting process

AWSRestAIGo
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -83.9%

About the Team The Enterprise Identity team builds the identity foundation that enables organizations to adopt and use OpenAI products securely and reliably. The team owns the enterprise identity stack, including SSO, SCIM, tenant architecture, and identity capabilities across the enterprise admin experience and OpenAI's growing multi-product portfolio. About the Role We are looking for a hands-on senior technical leader to own the architecture and evolution of OpenAI's Enterprise Identity systems. You will set the long-term technical vision for the entire stack, establish shared identity primitives across products, and be accountable for systems that are foundational to our enterprise business. This role requires operating well beyond a single service or feature area. You will identify the most consequential architectural investments, align teams around durable solutions, and ensure our identity platform meets an exceptionally high bar for scale, availability, latency, and security. This role will be based in our San Francisco or Mountain View office. In this role, you will: Own the technical vision and architecture for the Enterprise Identity stack, including SSO, SCIM, tenant architecture, groups, permissions, and identity capabilities in enterprise administration surfaces. Lead the design and evolution of highly available, latency-sensitive identity systems serving a large and diverse global enterprise customer base. Establish common identity models and primitives that work consistently across OpenAI's products and enable the organization to scale. Set a high security bar by anticipating abuse cases, failure modes, and the long-term implications of new capabilities. Drive alignment across enterprise product, infrastructure, and security partners, resolving ambiguity and influencing roadmaps beyond the immediate team. Provide technical leadership to senior engineers and raise the quality of architecture and execution across the broader organization. You might thr

AWSRestAIRust
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -83.9%

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish governance for new pro

AWSGitRestAI
🔔

Get new senior product analytics associate jobs in United States by email

Daily job updates · Unsubscribe anytime