Servicing Reporting Analyst Jobs

The Principal Salesforce Consultant is a senior, tech-forward leadership role within the Delivery team. This position bridges the gap between functional business consulting and technical architecture, serving as a trusted advisor to enterprise clients. You will lead solution design, advise on technical feasibility, and guide implementation strategies without being responsible for hands-on coding. This role requires a seasoned expert who can "own the room" with technical stakeholders while translating complex business needs into scalable, high-impact Salesforce solutions. Key Responsibilities: Lead solution design and technical discovery sessions for enterprise-level projects, acting as the primary Architect-leaning lead. Act as a trusted advisor to clients, guiding them on what is technically feasible versus what is not recommended based on platform best practices. Translate complex business requirements into clear technical blueprints, ensuring solutions are scalable and align with long-term digital transformation goals. Lead workshops and provide thought leadership across Sales, Service, and Experience Clouds, ensuring architecture aligns with compliance and security requirements. Partner closely with developers and engineering teams to guide integrations and customizations (without performing the coding yourself). Support pre-sales efforts by providing strategic input and accurate level-of-effort estimates for complex technical customizations. Drive client-facing technical conversations and lead difficult discussions with executive stakeholders to ensure project alignment. Coach and mentor team members across functional and technical areas; contribute to internal enablement assets and industry process blueprints. Required Expertise: 10–15 years of Salesforce consulting experience, with a background in Principal Consultant, Solution Architect, or Technical Lead roles. Deep functional and technical knowledge of Sales Cloud, Service Cloud, and Experience Cloud. Stro

MUST: *BE 18+ *HAVE 1 YEAR SERVING EXPERIENCE AT A RESTAURANT WITH A FULL BAR *AVAILABLE TO WORK NIGHTS AND WEEKENDS 🚨 Immediate Hiring | Swing into a Job You’ll Love at Topgolf! ⛳🍔🎉 At Topgolf, we believe in the unlimited power of play to drive fun, connection and innovation. Whether you work behind the scenes or directly engaging with Players, your role is key in bringing people together and redefining entertainment. We’re seeking fun-loving individuals who are serious about delivering excellence and results but who don’t take themselves too seriously. If you excel in a fast-paced, collaborative environment focused on creativity and incredible experiences, Topgolf is the place for you. Grow your career, make an impact and allow your individuality and ideas to fuel your success! What We’re Seeking Does hearing your favorite song make you spontaneously break out in dance? Does making someone else’s day special give you all the feels? Do you love waking up knowing no two days will look the same? If you answered yes to those questions, you’re the one we’ve been looking for! We’re seeking fun-loving, dedicated and caring team members for a variety of hourly positions who are fanatical about putting a smile on our Players’ and fellow Playmakers’ faces. What’s In It for You? Cha-ching: Our hourly wages are competitive, and tips are available for certain positions. Benefits: Health, dental, vision, 401(k) playmaker match, free mental well-being platform – and that’s just for starters for those who qualify. Flexibility: Day, night and weekend shifts are on the table, sure to satisfy both the part-time and full-time seeker. Perks: Enjoy FREE game play, discounted food and retail items, and weekly

About the Role As a UAS Operations Specialist , you’ll join Flight Operations as a pilot supporting commercial drone delivery under Part 135 . All hires complete the company’s FAA approved training, aircraft qualification, and checking requirements before serving as Remote Pilot in Command (RPIC) and maintain required recurrent training, currency, and proficiency. Qualified pilots may be selected as a Flight Instructor, Ground Instructor, or Check Pilot based on experience, demonstrated proficiency, and program needs. These assignments require additional qualification, evaluation, company designation, and FAA approval where required . You’ll also support Part 107 flight testing, developmental operations, and system validation as assigned, working alongside Flight Test and cross-functional teams within applicable FAA authorizations, operating limitations, and established safety controls. What You’ll Do Serve as a commercial UAS RPIC , once qualified and authorized, under the direction of the Flight Operations Lead, Assistant Chief Pilot, and Chief Pilot. Complete required initial ground and flight training, aircraft-specific qualification, and knowledge and competency checks , including supervised operating experience where required, before assuming assigned operational duties. Maintain applicable pilot certificates, qualifications, currency, recurrent training, required checks, and medical eligibility where required by the company’s operating authorizations. Conduct preflight planning, aircraft readiness verification, weather and airspace review, mission execution, aircraft monitoring, and post-flight activities in accordance with assigned pilot responsibilities. Apply company manuals, SOPs, checklists, Operations Specifications, exemptions, waivers, and other applicable FAA authorizations for the aircraft, mission, and operating framework involved. Exercise sound aeronautical decision-making and risk management , including delaying, discontinuing, or terminating fl

Citi's U.S. Consumer Cards (USCC) business is one of the largest card issuers in the United States, serving millions of customers across a broad portfolio of branded, co-brand, and retail services card products. We are seeking to hire a VP Rewards Reengineering - Strategy and Analytics position to be part of the USCC Pricing and Rewards Reengineering team. The VP Rewards Reengineering - Strategy and Analytics position will report to Rewards Reengineering Analytics Lead and will be responsible for developing Rewards strategies grounded in data, customer, and operational insights. This individual will leverage financial analysis to enhance portfolio profitability through many rewards strategic work, balancing customer experience and ensuring regulatory compliance. This role will partner across multiple teams, including Product, Finance, Risk, Legal, Compliance, Technology and Operations to drive Rewards strategies for USCC. Key Responsibilities: Develop comprehensive Rewards strategy recommendations based on in-depth customer insights (both quantitative and qualitative), sound financial impact forecasting and thorough understanding of competitive landscape and regulatory environment Evaluate new initiatives by developing financial sizings, weighing risk / reward tradeoffs, assessing customer impact, and various other key factors Retrieve data and conduct data driven analytics using various analytical tools, software, and techniques Develop robust forecasting and tracking capabilities, and ensure robust quality control in Rewards processes Understand regulatory implications associated with Rewards policy and develop mitigation / opportunity strategies Communicate clearly and effectively to business partners and senior leaders Candidate Qualifications 6+

GAQ427R220 Mission Databricks is seeking a senior finance leader based in Ireland to fulfill a dual-impact role: leading our global technical Revenue Assurance function supporting EMEA/APAC regions and serving as the foundational Country Lead for the newly established Databricks Ireland entity. This high-visibility role combines strategic technical accounting with operational leadership. You will manage a global revenue assurance team while personally establishing and executing key operational processes for Databricks in Ireland. You will serve as the core on-the-ground finance lead supporting intercompany execution, local contract fulfillment, and revenue assurance oversight to ensure seamless business operations across Ireland and the European Union. Impact you will have: Ireland Entity Leadership & Operational Compliance Local Entity Execution: Serve as the primary on-the-ground finance leader in Ireland, executing key intercompany agreement workflows required for DBRX Ireland operations. Contract & Order Oversight: Support local contract execution workflows on behalf of the entity, ensuring all EU customer order forms and cloud services agreements adhere to established commercial and legal guardrails. Intercompany & Revenue Operations Support: Oversee local revenue processes, including EU customer contracting, billing workflows, and payment collection oversight, coordinating closely with Global Order-to-Cash (OtC) and Treasury teams to ensure proper fund-remittance to Databricks, Inc. and compliance with intercompany remittance timelines. Fu nctional Governance: Partner with local and global Legal, Tax, and Treasury stakeholders to maintain local operational compliance, supporting VAT/GST processes (owned by Tax) and legal approvals (owned by Legal). Local Capability Expansion: Collaborate with cross-functional teams to support hiring and onboarding of additional staff in Ireland to build out long-term operational capabilities for the entity. G

About the Team DoorDash is looking for you to join our team as a Senior Associate, Regional Operations - Parcel on the Drive team. DoorDash Drive is our company's hyper-growth platform team serving restaurants, grocers and retailers across the United States, Canada and Australia. We operate at the intersection of strategy, execution, and quality — obsessing over performance, efficiency, and scalable processes as we expand our footprint. This team partners cross-functionally with Product, Engineering, Business Development, and external partners to launch new capabilities, improve performance, and standardize best-in-class operational practices across our logistics network. We are looking for someone to drive quality improvements, unblock complex logistical challenges, and build scalable, standardized systems to ensure on time delivery. Our regional operations team focuses on delivery quality, loss prevention, operational efficiency, and merchant experience. About the Role You will play an integral role in managing day-to-day operations and site performance in a specific region within the U.S. You will work with both internal and external stakeholders to build and implement key operating procedures to drive compliance and improve quality. This role reports directly to the Regional Operations Manager. We expect this role to be up to 25% travel. You’re excited about this opportunity because you will… Analyze performance and unlock opportunity — Identify high-impact operational challenges, uncover root causes through quantitative and qualitative insights, and implement scalable solutions that improve service quality, efficiency, and reliability of the network Scale processes and operations — Partner cross-functionally with Product, Engineering, Analytics, and Business Development to standardize operating procedures and build systems that support sustainable growth Drive success metrics — Support 3P performance across 15–20 locations—partnering with site leadership to kee

Work Flexibility: Remote *While this is a remote role, the preferred candidate will reside in the Eastern or Central Time Zone to support business needs. Join Stryker’s Flex Financial team as a Finance Specialist, serving as the primary contact for equipment financing opportunities. In this role, you will support a Regional Finance Manager, manage financing transactions from proposal through contract completion, and collaborate with sales teams across multiple business units. This position combines financial analysis, transaction management, and cross-functional partnership to support regional business objectives. What You Will Do Develop pricing and financing structures for complex customer proposals across more than 15 financing program offerings. Manage financing opportunities and progress deals from origination through completion. Create and deliver approximately 130 customer financing proposals per month using Salesforce and internal systems. Review, process, and maintain documentation for approximately 30 completed financing transactions per month. Partner with a Regional Finance Manager to execute regional business plans and support territory objectives. Coordinate transaction data, documentation, and approvals across sales representatives, finance leaders, and internal operations teams. Educate sales teams on equipment financing and leasing options through training, consultation, and ongoing deal support. Build and maintain relationships with sales representatives and business partners across all Stryker business units within an assigned region. What You Will Need Required Qualifications Bachelor’

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. We are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization . Our mission is to build the next generation of high-performance and intelligent inference systems. We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering , using AI not only as the workload we optimize, but also as a tool to accelerate system devel

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

Job Description Digital Experience (DX) ( https://www.adobe.com/experience-cloud.html ) is a USD 4B+ business serving the needs of enterprise businesses including 95%+ of fortune 500 organizations. Adobe Marketo Engage, within Adobe DX is the world’s largest marketing automation platform, is a singular solution that lets enterprises attract, segment and nurture customers — from discovery to biggest fan. It lets enterprises do effective engagement through various surfaces and touchpoints. We seek dedicated and enthusiastic engineers to join our team as we expand the business by developing the next generation products and contributing to our current offerings. If you’re passionate about innovative technology, then we would be excited to talk to you! What you'll do Be an inspiring leader in building next generation Multi-cloud services. Deliver high-performance services that are adaptable to multifaceted business needs, influence ideation & outstanding problem solving Build secure cloud services which provides very high availability, reliability and security to our customers and their assets. Lead the technical design, vision, and implementation strategy Define and apply best-practices to build maintainable and modular solutions with high quality Partner with global product management, UX, engineering and operations teams to help shape technical product architecture & practices, roadmap and release plans Develop and evolve engineering processes and teamwork models, applying creative problem solving to optimize team efficiency Create technical specifications, prototypes and presentations to communicate your ideas. Mentor and guide high performing engin

Hiring | Treasury & Capital Markets | Paytm About Paytm Paytm is one of India’s leading digital financial services platforms, serving 450M+ consumers and 45M+ merchants. We are building the next generation of financial services by combining technology, scale and innovation to create seamless experiences for consumers and businesses. We are looking for an experienced Treasury professional to join our Corporate Treasury & Capital Markets team. About the Role The role will be responsible for managing funding, liquidity, banking relationships, debt capital markets, treasury operations, investments and regulatory compliance. This is a strategic treasury role requiring strong exposure to debt instruments, capital markets, banking relationships, cash management and treasury accounting, along with the ability to work closely with internal and external stakeholders. Key Responsibilities / KRAs 1. Capital Markets & Debt Management Structure, execute and manage CPs, NCDs and Term Loans Coordinate with credit rating agencies, merchant bankers, debenture trustees, institutional investors and banks Support fundraising and debt optimization initiatives Manage financing documentation, security creation and ROC/CERSAI filings Monitor debt portfolio, repayment schedules and borrowing costs 2. Liquidity & Treasury Investments Manage daily cash positioning and liquidity across bank accounts Optimize surplus funds across money market instruments, mutual funds and fixed-income investments Drive cash-flow and working-capital forecasting Ensure efficient deployment of funds and minimize idle cash 3. Banking Relationships & Treasury Operations Manage strategic relationships with banks and financial institutions Negotiate banking facilities, pricing and credit limits Oversee H2H, CMS and online banking platforms Manage banking access controls, signatory matrices, payment gateways and collection accounts Support internal, statutory and regulatory audits 4. Treasury Accounting, MIS & Rep

Deeply understanding what’s in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to large-scale distributed processing with Spark and advanced ML tools for experimentation and model serving, we empower our customers to gain insights and drive innovation. To enable all of this on Databricks, making data ingestion seamless is crucial. That’s the mission of the Ingestion Core Team: to make the ingestion of all data—structured and unstructured—simple, reliable, and efficient. Simplifying the complex is hard, and that’s where you come in. This role requires building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources—including cloud storage (SQS, ADLS, GCS), databases (Oracle, SQL Server, MySQL, Postgres), and file sources (Google Drive, SharePoint)—at high throughput and low cost. The data includes structured formats (JSON, Parquet, CSV) as well as unstructured data (text, images, docs, PPTs, and blobs), all of which land in Delta Lake with schema evolution and change data capture (CDC) capabilities. Join us in making data ingestion effortless and be part of the team that powers the future of AI + data at Databricks! As an engineer on the team, you will work on projects that: Build distributed infrastructure to ingest data from diverse sources and support streaming ingestion, incremental processing, and replication. This isn’t just about building plugin connectors. Reduce end-to-end latency, increase throughput, and reduce costs from the time data appears in source systems to when it is available in Delta Lake. Design and optimize streaming and distributed workloads for throughput, cost, latency, reliability, and scale. Optimize streaming workloads by exploring and applying ML techniques. Build monitoring and observability capabilities (customer-facing and internal) that

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

Req ID: FEQ427R18 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streamin