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Servicing Reporting Analyst Jobs

2,053 active opportunities · Updated for October 2026

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Explore current servicing reporting analyst jobs. Use filters to narrow by work mode, employment type, experience and date posted.

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

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1mo ago

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 . Pinterest is seeking a Staff Software Engineer to help evolve the serving platforms that power Ads and Core experiences. You will lead large-scale, low-latency distributed-system initiatives that make our serving stack more performant, reliable, observable, and easier to extend. You will work across Ads and Core engineering teams to define durable platform capabilities, modernize frameworks, and unlock faster product iteration with high confidence in production. What you’ll do: Set technical direction and lead architecture for major serving-platform initiatives across Ads and Core. Build and operate scalable, highly available systems with clear performance, reliability, and efficiency goals. Partner with product, ML, infrastructure, and Core/Ads engineering teams to translate complex requirements into reusable platform capabilities.

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Pinterest
📍 San Francisco• Full-time• From $285.5K/yr
2mo ago

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 . Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. We are looking for a Director of Engineering to lead the strategic vision and execution for Pinterest’s core and ads serving platforms, overseeing the infrastructure that enables high-scale, low-latency delivery of content and ads across all Pinterest surfaces. They will define the multi-year architecture to ensure our serving systems are reliable, performant, and cost-efficient while enabling rapid innovation for product and ML teams. What you’ll do: Set the long-term technical and operational vision for the Core and Ads Serving Platform, aligning infrastructure investme

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Lyft
📍 United States• Full-time
4mo ago

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 Ads is building the world's largest mobility advertising network, connecting brands with millions of consumers throughout their transportation journeys. Our mission is to help brands reach riders during key moments of their journey — before, during, and after a ride — by delivering meaningful, contextually relevant ad experiences. Core to that vision is our ad serving platform. Our Ad Serving team builds the systems and integrations that power the delivery of ads, being both thoughtful of our riders’ experience while also driving great outcomes for advertisers. We’re looking for a Staff Product Manager I to architect and reimagine our ad serving platform so that our rapidly growing advertising business can continue to scale. Based out of our New York City office, you’ll own development and the forward-looking vision for the platform that connects advertisers and riders, help us accelerate our capabilities, and execute across a whip-smart, fast-paced team. Responsibilities: Help develop the strategy and objectives for our Ad Serving platform. Build a roadmap and lead a core team of engineers and data scientists to achieve it. Align cross functional partners and teams beyond your immediate development team to drive a shared vision. For example, Sales, Legal, Finance, Operations, and internal marketing teams. Take a holistic yield management approach across direct demand and external supply channels. Clearly communicate priorities, problems, experiments, and decisions across a wide spectrum of audiences, from partner teams to executives. Completely own your team's products, existing or new, from ideation through development, launch, growth, and maintenance. Understand Lyft Ads’ strategic and competitive position. Set your team's goals, success metrics, and roadmap to a

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. 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: Manage and grow the Training & Serving team, directly managing 10+ engineers Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs Create a strong team culture aligned with our engineering standards and our customer focus Participate in hands-on work: Code reviews, design reviews and some coding Who You Are: Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader Excellent leader with strong

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

pythonsqlpostgresql
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E
Entrata
📍 Lehi• Full-time• Hybrid• $170.3K – $278.2K/yr
2mo ago

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. The Director of Engineering, Payments provides strategic leadership for the engineering organization building Entrata’s core payments platform and money-movement infrastructure across card, ACH, disbursement, ledger, and settlement workflows. Serving as the technical authority for our regulated financial architecture, this leader brings direct experience operating within FinCEN Money Services Business (MSB) federal registration frameworks and maintaining state-level Money Transmitter License (MTL) compliance for holding and moving customer funds. Responsibilities Lead, direct, and scale software engineering teams building and operating Entrata’s core payment processing platforms, money movement infrastructure, and financial tech stack. Partner closely with Legal, Compliance, Security, and Product leadership to architect and maintain systems that strictly align with FinCEN Money Services Business (MSB) regulations and state-level Money Transmitter License (MT

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