Systems Engineering Support Analyst Jobs

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry-leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform, and prepare data to ship trusted insights at enterprise scale. Join us as we build the next data revolution. About The Role Prophecy is hiring a VP of Customer Success and Support to lead our post-sales organization and take ownership of our existing customer base. This is a senior leadership role accountable for gross retention, net dollar retention, customer satisfaction, and the quality of enablement and technical support our customers receive. You will set the strategy for the post-sales function, defining the coverage model, segmentation, service offerings, and investment plan required to support enterprise customers as we scale. You will also own the execution: the renewal cycle from early risk identification through close, the global support function, and the systems and team that run both. As a member of the leadership team, you will represent the customer base in executive planning and serve as a primary channel between customer experience and our product roadmap, working closely with Product, Engineering, Sales, and Field Engineering. The role requires both. We are looking for a leader who can design the operating model for a post-sales organization several times our current size, and who is equally comfortable in the renewal forecast, a customer escalation, and the weekly account health review. Responsibilities Retention and Renewals Own gross retention and net dollar retention targets for the installed base. Forecast renewals with the same discipline applied to new business, and be accountable for the accuracy of that forecast. Manage the renewal cycle end to end, including early risk identifi

Locations: South Jordan, UT Salary: $56,000 Launch Your Career in Technology Every app, website, payment, and digital service relies on technology running smoothly behind the scenes. When something goes wrong, Production Support Engineers are the people who investigate the issue, restore service, and help prevent it from happening again. If you're curious, analytical, and enjoy solving problems, this is an opportunity to build hands-on experience with cloud platforms, Linux, automation, databases, and large-scale enterprise systems from day one. What Is Production Support? Production Support Engineers keep business-critical applications running reliably in live environments. Think of it this way: Software Engineers build the platform. QA Engineers test the platform. Production Support Engineers keep the platform running when it matters most. Working at the intersection of technology and business, you'll troubleshoot issues, automate processes, and help improve the reliability and performance of systems used by thousands, or even millions, of people every day. If you enjoy solving puzzles, working under pressure, and understanding how large-scale systems work, this could be the perfect place to start your career. What You'll Do As part of a global production engineering team, you'll: Help support large-scale applications and platforms used by leading organizations around the world. Monitor business-critical applications and services to ensure high availability and performance. Investigate and resolve production incidents across applications, infrastructure, databases, and cloud environments. Analyse logs, alerts, and system metrics to identify root causes and prevent recurring issues. Partner with software engineers, infrastructure teams, and business stakeholders to improve system reliabilit

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners. Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting. What you'll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through yo

LOCATION : This will be a hybrid role (1 day a week) working out of our San Carlos, CA location. POSITION SUMMARY: Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and the development of intelligent tools to optimize workflows and processes. As a Senior Data Analyst on the team, you will play a pivotal role in designing, prototyping, and building out a modern, next-generation AI analytics platform to phase out legacy reporting infrastructure. In this role, you will leverage AI developer tools (e.g., Claude Code, Gemini) to significantly accelerate design, scripting, and platform prototyping. However, speed must be paired with engineering rigor: you must possess deep foundational technical expertise to critically review, audit, validate, and refine all AI-assisted output, ensuring production-grade code quality, data accuracy, and system reliability. PRIMARY RESPONSIBILITIES: Platform Design & Rapid Prototyping: Lead the effort in architecting, iterating, and building out a new R&D analytics platform. Rapidly prototype scalable analytics solutions and modern self-service data tools AI-Accelerated Development & Rigorous Validation: Proactively utilize advanced AI tools (including Claude Code, Gemini, and coding assistants) to accelerate development cycles, automate repetitive coding tasks, and speed up platform prototyping. Thoroughly review, debug, unit-test, and validate all generated code and analytics logic for correctness, security, and efficiency Data Pipeline & SQL Engineering: Extract, clean, transform, and model complex multi-source R&D data. Develop and optimize high-performance custom SQL queries and partner with Data Engineers to enhance database scalability and platform performance Analytics & Insight Generation: Translate operational requirements into act

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. Responsibilities: Responsible for generating and customizing reports summarizing business and financial data. Maintain and update business intelligence tools, databases, dashboards, systems and other methods to capture, analyze, and estimate customer business requirements. Build, maintain, and enhance Anaplan models based on design specifications and best practices. Translate business requirements into functional model components and develop and maintain data integrations between Anaplan and source systems. Design various financial planning and analysis (FP&A) use cases, including budgeting, forecasting, and financial reporting, as well as develop and implement automation routines and data integrations to streamline FP&A processes. Create business intelligence tools and systems, including user-friendly dashboards and reports for business users. Perform data validation and reconciliation to ensure data accuracy and provide end-user support. Experience: Position requires Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field. 3 years of experience in job offered, Engineering, or related occupation. At least 3 years’ experience with business intelligence and process flows to design custom solutions with Oracle ERP Cloud or Oracle Fusion Cloud applications, including finance, SCM, BICC, and OTBI reporting. At least 3 years’ experience with Anaplan or similar enterprise performance management for modeling, building, planning, analysis, and reporting. Experience developing plans and project management techniques to translate unstructured business problems into defined requirements. Experience transforming data and automating processes using Python or a similar scripting language. Benefits: Great medical, dental, and vision insurance options with additional progra

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners. Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners. Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base. Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Responsibilities: Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives. Manage a portfolio of data products that deliver high-quality, trustworthy data Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. Develop and implement data quality checks, conduct QA and implement monitoring routines Create and manage new data integrations across internal and external systems Create tools and a

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Automation Execution & Support: ·Support site automation systems such as AMHS, ASRS, AGVs, conveyors, and material tracking tools to ensure stable operations. ·Complete assigned automation tasks under defined scope with engineer, following site and global standards. ·Act as a key contributor during system installation, commissioning, ramp, and sustain phases. Project Participation: ·Support automation project execution including checklist execution, and on-site activities . ·Participate in FAT, SAT, UAT, and system buyoff activities , ensuring issues are identified, tracked, and resolved. ·Execute defined work packages within larger automation projects. Cross‑Functional Coordination: ·Work closely with Facilities, Manufacturing, IT/MES, Warehouse, and Equipment Engineering teams to support automation deployment. ·Interface with vendors and OEMs for issue resolution, testing, and clarification of requirements. · Collaborate with team members, including engineers and maintenance staff, to identify opportunities for system improvements and upgrades, including AI-enabled and agentic solutions for process optimization . Troubleshooting & Sustainment: ·Support troubleshooting and root cause analysis of automation system issues impacting material movement. ·Performing corrective and preventive actions to improve system reli

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Automation Execution & Support: ·Support site automation systems such as AMHS, ASRS, AGVs, conveyors, and material tracking tools to ensure stable operations. ·Complete assigned automation tasks under defined scope with engineer, following site and global standards. ·Act as a key contributor during system installation, commissioning, ramp, and sustain phases. Project Participation: ·Support automation project execution including checklist execution, and on-site activities . ·Participate in FAT, SAT, UAT, and system buyoff activities , ensuring issues are identified, tracked, and resolved. ·Execute defined work packages within larger automation projects. Cross‑Functional Coordination: ·Work closely with Facilities, Manufacturing, IT/MES, Warehouse, and Equipment Engineering teams to support automation deployment. ·Interface with vendors and OEMs for issue resolution, testing, and clarification of requirements. · Collaborate with team members, including engineers and maintenance staff, to identify opportunities for system improvements and upgrades, including AI-enabled and agentic solutions for process optimization . Troubleshooting & Sustainment: ·Support troubleshooting and root cause analysis of automation system issues impacting material movement. ·Performing corrective and preventive actions to improve system reli

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant

About the Team The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that power decisions across OpenAI. About the Role We’re looking for a Data Engineering Manager to lead the Growth & Revenue data engineering team. This leader will own the data strategy and execution for the data subject areas spanning growth accounting across all product surfaces, product partnerships, checkout, billing, payments, revenue, and monetization, helping OpenAI understand how people adopt, engage with, and pay for our products. You will partner closely with several Data Science, Business, and Engineering partners to connect product behavior to trustworthy subscriber, payment, and revenue measurement. In this role, you will: Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data subject areas. Define the data strategy for all the data subject areas you own. Deliver durable, well-modeled data products that connect product behavior, subscription state, checkout events, payment outcomes, and revenue. Establish trusted metric definitions and data quality standards so product, growth, finance, and executive leaders can make fast, consistent decisions. Partner with Data Science and Product teams to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics. Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to financial truth and production billing systems. Raise operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response. Set a clear roadmap, make principled tradeoffs, and communicate progress and risk across technical and business stakeholders. You might thrive in this role if yo

Xendit is the financial technology platform built for businesses that move fast. We give companies one unified platform for payment acceptance, payouts, treasury and financial services, replacing fragmented local integrations with a single infrastructure layer. We serve businesses of every size, from high-growth startups to global enterprises, processing high-volume transactions across Southeast Asia and beyond, with more markets on our global expansion roadmap. About the Job As a key technical leader, you will drive customer trust and company growth by bridging Operations, Product, and Engineering to solve our most complex technical escalations. In this role, you will own high-impact incident management, establish robust troubleshooting standards, and turn recurring operational challenges into scalable, automated solutions. Facing the fast-paced challenge of resolving critical merchant issues, your leadership will optimize operational efficiency, elevate team capabilities, and directly shape product improvements to support our long-term scale. Minimum Qualifications 5+ years of experience in technical support, product support, software engineering, solutions engineering, or a related technical domain, with demonstrated experience handling complex technical issues and customer-impacting incidents. Proven experience leading people, teams, or complex technical/operational programs, with the ability to coach team members, manage performance, and drive accountability. Strong technical understanding of software products and systems, including experience with areas such as APIs, system integrations, databases, scripting/automation, troubleshooting, or software development. Candidates with hands-on experience in technical leadership, or similar technical roles are highly valued. Strong experience in structured troubleshooting, root cause analysis, incident investigation, and identifying scalable solutions to prevent recurring technical issues. Excellent communication

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As a New Relic Support Engineer, you know more about our products than any other function and you feel a sense of pride and satisfaction in helping customers through their never-seen-before technical issues. We are serious about keeping our skills sharp so that we can provide outstanding assistance in a constantly evolving technical landscape. We emphasize training, knowledge and customer empathy, your learning opportunities will never end. Are you ready to become our next Support Engineer passionate about today’s Infrastructure issues? What you'll do Collaborate across teams to assist in solving complex technical customer problems across our product suite Strong analytical and technical troubleshooting skills Impeccable customer service skills and display genuine empathy towards customers. Work closely with our software engineering teams to resolve advanced customer issues. Support New Relic customers by resolving various installation, configuration, and data exploration requests. Be an advocate for our customers to our Product Organization by providing feedback on feature requests and bugs that improve the customer experience of the New Relic platform. Advance your skills through additional training and exposure to other features and capabilities of our Products This role requires Has a track record of providing superior end-user software support via email, phone, and social media Love delighting customers, even those who are having a tough day! Experience b

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator