Back Office Operations Senior Associate in United States

Job Details: Job Description: As a Material Analysis (MA) Technician, you will be part of a Technology Development (TD) and High-Volume Manufacturing (HVM) lab responsible for performing material analysis and failure analysis in support of Intel's silicon process development and high-volume production. You will work on developing imaging, composition analysis and sample preparation techniques, and best-known methods (BKMs) to improve lab analysis quality, efficiency and output. You will directly interface with TD and HVM fab customers and quality/reliability engineers to develop solutions to problems by utilizing lab capabilities. The scope may include wafer and unit level, front-end modules and back-end/far back-end modules. Responsibilities may include but not be limited to: • Conducting hands-on analysis by effectively utilizing lab techniques, from sample prep micro-cleaver, ion mill etcher, mechanical polish to SEM/EDX, Dual beam FIB, TEM techniques to characterize Si fabricated structures at nanometer scales and integrated circuit device to improve process, performance and reliability; and to identify physical failure mode toward the root-cause identification. • Conducting hands-on data collection with various lab equipment’s, and assisting engineers to implement materials characterization techniques to determine fundamental thin film material structure/properties and to collaborate with process development engineers across functional areas and organizations to improve process performance and reliability. • Supporting and sustaining lab equipment. Ensuring that lab analytical capabilities needed to support advanced transistor and interconnect technology and/or product development are in place. Cooperating with other lab areas beyond local MA/FA (Failure Analysis) labs to achieve

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us Lead the architecture of production AI systems where LLMs are foundational to the product experience. Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. Influence engineering culture and establish standards that shape how the team builds and ships AI products. Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. Partner

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will own the data Vanta's EPD organization actually runs on — bringing new signal sources online, standardizing them at the point of ingestion, and building the systems that make the underlying data trustworthy rather than merely stored. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself. Not by asking teams to be more diligent but by going to the source, processing it, standardizing it, and pushing value back out so each source of truth earns its own adoption. What you’ll do as a Operations Manager, Signal Systems at Vanta: Bring new signal sources online end to end — from discovery and scoping through ingestion, standardization, and live operation Identify the specific failure modes in each information source and build systems that mitigate them at the point of ingestion Go to the teams that produce and consume a signal, understand what the information actually means and what they need back from it, and build accordingly Replace human-diligence dependencies with engineering solutions: derive fields, pull from source systems, validate at write time Build alongside teammates who are growing into building — raise their technical ceiling, not just your own output Partner with the inference and systems layers to ensure what you produce is queryable, trustworthy, and ready to build on How to be successful in this role: You look at a data source and see its failure modes before its contents: where it lies, where it goes stale, where it's duplicated, where the schema won't hold at 10x Your first move on an adherence problem is an engineering an

Company Description Novo is a venture-backed fintech that simplifies banking for small businesses. Since our Fall 2018 beta launch, we've expanded offerings from free checking accounts and debit cards to lending products, business tools (invoices, bookkeeping, and more), and integrations.Today , Novo is a powerfully simple banking platform that serves over 250,000 small businesses. In addition to providing smart tools built for entrepreneurs to better run and grow their businesses, Novo has processed billions in transactions in partnership with a number of established banking partners. Our vision is to be the go-to platform serving small businesses – from launch to everyday – so business owners can focus on growing, while Novo provides seamless money movement, money storage, and access to capital. We'd like to look back 5–10 years from now and know that we helped new generations of small businesses succeed because of the work we did at Novo. Novo raised $170 million in venture capital and is backed by leading investors, including Stripes, Valar Ventures, Crosslink Capital, and Notable Capital (formerly GGV). Learn more at https://www.novo.co . Role Description Novo is seeking a highly experienced and motivated product manager to own and scale our core banking experience — the accounts, money movement, cards, and program infrastructure that power banking for over 250,000 small businesses. This role is critical to ensuring the reliability, usability, and depth of the products at the heart of Novo, supporting our rapidly expanding customer base and business operations. The ideal candidate is a hands-on product leader who can set product direction for complex, regulated financial products, partner closely with Engineering, Design, Risk, and Compliance, and work hand-in-hand with banking partners to ship reliable, secure, high-quality experiences within a dynamic, regulated fintech environment. Responsibilities Product Strategy & Leadership Own the strategy, roadmap,

Company Description Novo is a venture-backed fintech that simplifies banking for small businesses. Since our Fall 2018 beta launch, we've expanded offerings from free checking accounts and debit cards to lending products, business tools (invoices, bookkeeping, and more), and integrations. Today, Novo is a powerfully simple banking platform that serves over 250,000 small businesses. In addition to providing smart tools built for entrepreneurs to better run and grow their businesses, Novo has processed billions in transactions in partnership with a number of established banking partners. Our vision is to be the go-to platform serving small businesses – from launch to everyday – so business owners can focus on growing, while Novo provides seamless money movement, money storage, and access to capital. We'd like to look back 5–10 years from now and know that we helped new generations of small businesses succeed because of the work we did at Novo. Novo raised $170 million in venture capital and is backed by leading investors, including Stripes, Valar Ventures, Crosslink Capital, and Notable Capital (formerly GGV). Learn more at https://www.novo.co . Role Description Novo is seeking a Senior Product Manager to own the platform surface area that connects, activates, and deepens value for small businesses in their first 90 days and beyond. This role spans our DDA onboarding to funding activation funnel, invoice workflow, external integrations ecosystem — three interconnected surfaces that together determine whether a new Novo customer becomes an engaged, transacting one. The role will also explore how to apply AI to enhance how SMBs interact with Novo. The ideal candidate is a hands-on product leader who combines platform and tooling depth with a growth mindset: someone who can own complex product workflows end-to-end, run rigorous experimentation, and is comfortable getting their hands dirty in LLMs. This is a high-impact, high-visibility role at the intersection of product

We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands-on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers. This is not an execution-only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work. This position is required to sit in the Eastern Time Zone. What You'll Do Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows Own onboarding engagements end to end, ensuring customers move from contract to productive adoption with speed and confidence Lead Get Well engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth Help customers implement the technical and organizational changes required to adopt agentic development practices at scale Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments Design and recommend reference architectures tailored to each customer's cloud environment, security posture, and organizational constraints Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns Anticipate technical and operational risks, escalate to the right

ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team owns the experiences that turn a single-player tool into a multiplayer habit: the loops that bring people back, help them find their work, and pull their colleagues into a mural. Mural's self-serve growth runs through these experiences, and engagement and retention are central to how the business grows. YOUR MISSION As Senior Product Manager, Growth & Engagement, you will own the end-to-end self-serve experience, from a user's first touch through activation, return usage, and conversion to paid. You will treat the full funnel as one system: acquisition, activation, engagement, retention, sharing, and monetization. You will run a high-tempo experimentation practice, partner deeply across Product, Engineering, Design, Data, Marketing, and Sales, and make the calls that turn occasional users into teams that rely on Mural every week. This is a role for someone who wants to own real growth outcomes, not just ship features. You will own the surfaces that decide whether Mural's self-serve engine grows. Engagement and retention here move the business directly, and you will own the full loop across growth and engagement rather than a narrow slice of it. You’ll have a rare end-to-end view of the funnel, from acquisition through in-product engagement. You will work alongside thoughtful product, design, and engineering partners who care about craft and impact. WHAT YOU'LL DO Own product strategy, roadmap, and execution for the self-serve growth and engagement experience, from first touch through activation and return usage Build and optimize the invite, sharing, and join experience Drive activation and retention by improving the moments that bring people back: home and dashboard, notifications, search, rooms and folders, comments, and more Partner closely with Marketing to connect acquisition and re-engagement with in-product activation across

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We’re looking for a Product Marketing Manager to grow Replit’s core creation products, including Design and Slides. These products already give people new ways to turn an idea into something they can see, share, and use. Your job is to help more people discover them, understand when to use them, and make them part of their regular workflow. You’ll own the connection between the product and its audiences: developing positioning grounded in customer needs, leading launches, finding channels that can drive sustained adoption, tracking the competitive landscape, and bringing market feedback back to Product. This role sits at the intersection of Product, Engineering, Growth, Brand, and Creative. It is a hands-on role for someone who can develop the strategy, write the narrative, and get the work into the market. What You'll Do Own the positioning and growth strategy for Replit’s core products, including Design and Slides. Develop audience-focused narratives, identify new use cases and channels, bring product improvements to market, and build programs that drive adoption, engagement, and conversion. Track competitors and customer needs, then translate those insights into sharper messaging, stronger go-to-market decisions, and actionable feedback for Product and Engineering. Required Skills & Experience Self-starter: You take ownership, work through ambiguity, and move from strategy to execution without waiting for a perfect brief. Audience-focused: You turn customer insight into clear positioning, relevant narratives, and campaigns built for specific audiences. Growth-minded: You find creative ways to expand adoption, test new channels and tactics, and turn successful experiments into repeatable programs.

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. This role will be based remotely in the United States (East Coast). Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engine

AI Systems Engineer - Codex Core Agents About The Team The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior. This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex. About The Role We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements. What You’ll Do Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely. Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments. Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures. Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Responsibilities Efficiently and accurately complete production activities in a prioritized fashion within a multistep pharmacy workflow, including: maintaining inventory and managing exceptions for orders in the automation system to ensure the machine is consistently producing; identifying and making corrections to orders produced by the automation system; counting, filling, and labeling prescription vials and bulk prescription items; staging and sorting orders for the next appropriate workflow step; making outbound calls as needed for exception resolution. Efficiently and accurately complete shipping activities in a prioritized fashion, including: packaging orders for shipping; determining the appropriate system and packaging type to be used for processing the shipment; processing orders via one of the shipping systems; ensuring compliance with shipping methods for specific types of prescriptions (hazardous medication exceptions); managing orders that are shipped back to the pharmacy. Efficiently and accurately complete inventory activities, including: evaluating and adjusting automated inventory forecasts to maintain an inventory level that will support a variable volume; accepting, checking in, and putting up daily and weekly deliveries; monitoring and ordering store supplies via multiple platforms; processing returns of expired and damaged medications. Effi

Become a part of our caring community The Automation Engineer identifies and implements solutions (hardware and software) for improvement of the high-quality automation infrastructure. The Automation Engineer work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Automation Engineer designs, programs, simulates, and tests automated processes, and is responsible for detailed design specifications and other documents. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Use your skills to make an impact Required Qualifications Bachelor's degree or relevant and equivalent years of experience in lieu of degree requirement. 4&#43; years of technical experience related to automation. Strong knowledge and understanding of Claude code Experience using AI coding assistants such as Claude code, Github, Copilot, or similar developer productivity tools. Hands-on experience leveraging Claude Code for test automation development, debugging, script generation, and software quality engineering. Experience developing automation using Java, Python, or JavaScript. Experience with Selenium, Playwright, Cypress, or equivalent frameworks. Experience testing REST APIs and backend services. Experience with CI/CD pipelines and automated deployments. 2&#43; years of experience in Software QA testing in a SAFe Agile environment. Strong experience with black box, web-service integration and server back-end testing.</

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Job Overview: Responsible for the analysis, design, development, testing, and delivery of secure, scalable software solutions. Define requirements for new applications and customization adhering to Mastercard standards, processes, and best practices. Develop, customize, and test applications to integrate to Mastercard specifications. Provide leadership, mentoring, and technical training to other team members. Major Accountabilities • Plan, design, architect, and develop secure, scalable, and maintainable technical solutions and alternatives to meet business requirements in adherence with Mastercard standards, processes, and best practices • Lead day-to-day system development and maintenance activities of the team to meet service level agreements (SLAs) and create solutions with a high level of innovation, cost effectiveness, quality, reliability, and faster time to market. • Accountable for the full systems development life cycle including creating high-quality requirements documents, use cases, designs, and other technical artifacts including but not limited to detailed test strategies, performance benchmarking, release rollout and deployment plans, contingency/back-out plans, feasibility studies, cost and time analysis, and detailed estimates. • Design, develop, test, dep

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the role OpenAI is looking for an Applied Risk Standards Specialist to lead standards work for applied risk in applications, including mental health, youth safety, age assurance, functional efficacy, reliability, and privacy-related risks. You will help turn internal research, safety policies, and evaluation methods into technically sound, measurable, and adaptable standards that build public trust and support responsible deployment. This role sits within our AI standards and global assurance function in Global Affairs. Working closely with Safety Systems, Research, Product, Model Policy, Legal, and third-party evaluators, you will author proposals, negotiate requirements, and represent OpenAI in priority standards bodies. You will take on the drafting and external engagement needed to advance this work, enabling technical experts to focus on the underlying methods and evidence. You will also bring emerging requirements back into internal planning before they become established expectations. Alongside this primary portfolio, you will support the AI Standards and Global Assurance Lead on frontier AI assurance, contributing to risk-management standards, evaluation and benchmarking requirements, and approaches to independent assessment. The role connects technical practice with external standards. It does not replace t