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Model Validation Senior Manager Jobs

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Explore current model validation senior manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

H
1mo ago

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Strategy & Supply Chain Associate is responsible for proactively assisting in the development of sourcing strategies that are aligned with business and program needs and then driving execution of those strategies while ensuring quality, delivery, and cost targets are exceeding expectations. Duties and Responsibilities Strategic Problem-Solving: Apply a structured, hypothesis-driven approach to diagnose complex supply chain challenges, identify root causes, and develop data-backed solutions. Data Analysis and Modeling: Conduct quantitative analysis using large datasets from our ERP and supply chain data. Develop and maintain analytical models to optimize key supply chain metrics such as inventory levels, lead times, and product economics. Process Optimization and Redesign: Lead high-impact projects to re-engineer core supply chain processes, leveraging best practices to drive significant improvements in efficiency, cost, and resilience. Cross-Functional Collaboration: Serve as a trusted advisor to internal stakeholders in Engineering, Finance, and Operations. Effectively communicate complex analyses and recommendations to senior leadership, fostering alignment and driving execution. Performance Management: Design, implement, and monitor key performance indicators (KPIs) and dashboards to track supply chain health and project performance. Provide regular, insightful reports to management on progress against strategic objectives. Supplier and Sourcing Strategy: Collaborate with the Procurement team to analyze supplier capabilities, assess market dynamics, and develop commodity and category strategies that align with bot

SA
Scale AI
📍 San Francisco• Full-time• From $227.2K/yr
1mo ago

Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. Training: Develop and deliver IP and data licensing trainin

awsrestmachine learning
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C
CallRail
📍 Atlanta• Hybrid
1mo ago

The Position CallRail is looking for a r esults-focused and strategic Assistant Controller to join our Accounting & Finance team. Reporting to the Corporate Controller and working closely with our CFO, you will directly manage a team of 3 responsible for the full accounting function—including the financial close, tax, annual audit, and banking compliance—while driving cross-functional collaboration across the company. This is a high-impact role for an agile leader who thrives in a growth environment, seamlessly moving from high-level strategy to execution. You will maintain a rigorous accounting cycle while leveraging modern automation and AI technologies to streamline financial workflows and shorten the close cycle. Ideal Profile: Active CPA with 5–8 years of progressive accounting experience (including 3+ years managing a team) in a fast-paced, growth-oriented SaaS or technology company. What You'll Do Financial Close & Reporting: Lead the end-to-end close process for monthly, quarterly, and annual financials. Review journal entries, accruals, prepaids, and balance sheet reconciliations to ensure accuracy and GAAP compliance. Technical SaaS Accounting: Manage tech-sector accounting workflows, including complex software revenue recognition under ASC 606 (tiered pricing, usage-based models), deferral and amortization of sales commissions under ASC 340-40, R&D expense tracking, and stock-based compensation. Audit & Compliance: Manage the annual financial audit process and external auditor relationship, leveraging and directing internal team resources to complete audit schedules, technical documentation, and compliance requirements. Process Automation & AI: Identify and deploy AI-driven tools and intelligent software to automate routine reconciliations, accelerate transaction processing, and reduce total days-to-close. Team Leadership: Mentor and manage a team of 3 accounting professionals, driving operational excellence and modernizi

aiExcelaccounting
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E
Elastic
📍 United States• $94.3K – $149.2K/yr
1mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic is looking for a Sr. Salesforce Engineer & Dev Ops Specialist who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow (Cursor, Claude Code, Codex). You will serve as the technical backbone of our Salesforce ecosystem—owning the release lifecycle, managing GitHub administration, git automation, and CI/CD pipelines, while facilitating engineering practices across Certinia PSA, CPQ/ARM, AI initiatives, and cross-functional enterprise projects. Balancing hands-on platform development with release engineering, you will streamline revenue processes and scale architecture to deliver high-quality, reliable production solutions. What You Will Be Doing Dev Ops & Release Engineering: Lead end-to-end Dev Ops operations, including GitHub administration, git automation, branching strategies, CI/CD pipeline optimization, scratch org/sandbox management, backup strategies, and release governance. Full-Stack Salesforce Development: Design and build full-stack features—UI, APIs, business logic, data models, and integrations—using LWC, Apex, SOQL/SOSL, Flows, and modern REST/event-driven patterns. Core Business Platforms: Drive technical design and development across Certinia PSA, CPQ/ARM, and cross-functional enterprise initiatives. AI-Native Engineering: Utilize AI tools (Curso

gitaisalesforce
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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). Our New Verticals team exists to grow monthly active usage outside of restaurant ordering — groceries, retail, and everything in between. That means turning someone who only orders restaurant food into someone who also uses the app for a grocery run, and turning dormant users into active ones. You'll work on the surfaces that make that happen: the homepage, vertical landing pages, and the notifications that bring people back. This role sits closer to the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt. What You'll Be Doing Build and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first when they land on a store page Design models that blend new-vertical content into a homepage built around restaurant ordering, without disrupting the core experience Build personalisation models that translate a user's existing behaviour into relevant recommendations for verticals they haven't tried yet Contribute to notification targeting — who gets notified, with what message, and when, to drive adoption of new verticals What You'll Need to Thrive Minimum 3+ years of experience as an ML Engineer or Data S

pythonmachine learningrecruitment
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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). Our New Verticals team exists to grow monthly active usage outside of restaurant ordering — groceries, retail, and everything in between. That means turning someone who only orders restaurant food into someone who also uses the app for a grocery run, and turning dormant users into active ones. You'll work on the surfaces that make that happen: the homepage, vertical landing pages, and the notifications that bring people back. This role sits closer to the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt. What You'll Be Doing Build and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first when they land on a store page Design models that blend new-vertical content into a homepage built around restaurant ordering, without disrupting the core experience Build personalisation models that translate a user's existing behaviour into relevant recommendations for verticals they haven't tried yet Contribute to notification targeting — who gets notified, with what message, and when, to drive adoption of new verticals What You'll Need to Thrive Minimum 3+ years of experience as an ML Engineer or Data S

pythonmachine learningrecruitment
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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Role Hybrid (3 days per week in the London office required) Individual contributor role Every day, millions of customer transactions flow through our platform. Our challenge is to make payments effortless for genuine customers while preventing fraud, abuse, and financial loss. As the Senior Strategy & Operations Manager for Payments Risk & Fraud, you'll own one of our most commercially important problem spaces. You'll define the strategy for payment fraud, promotions abuse, cash risk, and chargebacks – balancing customer experience, growth, and profitability. This is an end-to-end ownership role. You'll identify opportunities, shape strategy, influence product and engineering roadmaps, partner with data science to improve detection models, and work closely with Finance and Payments to protect revenue while enabling sustainable growth. If you enjoy solving ambiguous, high-impact business problems using data, technology, and cross-functional leadership, we'd love to hear from you. What You'll Own Defining our Payments Risk Strategy Own the strategy and roadmap for payment fraud, promotions abuse, cash risk, and disputes across multiple markets. Identify emerging risks, prioritise investments, and continuously evolve our controls to protect customers and the business while supporting growth. Driving Commercial Performance: Own the key business metrics that matter, including: Fraud losses Chargeback rates Payment approval rates Promotions efficiency Recovery rates False positive rates Evaluate trade-offs between risk, customer experience, and conversion to maximise long-term profitability Building Data-Driven Solutions Use data to understan

sqlfinancerecruitment
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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We’re looking for an Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on. About the Analytics Engineering Org Analytics Engineering is a core pillar of Deliveroo’s Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning. The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team of Analytics Engineers and helping shape AE standards, culture and direction across the wider org. What You'll Be Doing Directly lead a team of Analytics Engineers embedded in a defined business domain, owning their performance, development and wellbeing Own the AE roadmap for your domain, identifying the highest-

pythonsqlai
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C
Cloudflare
📍 Hybrid• Hybrid
1mo ago

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role Location: Bengaluru (Hybrid mode) Exp: 3-15yrs We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless. Responsibilities Build Infrastructure Software: Architect, wr

pythonjavaaws
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CA
Careers at Tide
📍 Bulgaria• €31.6K – €35.6K/yr
1mo ago

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members globally and rapidly growing Over $300 million raised in funding 3,000 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg About the Team This role sits within Tide’s Paid Plans CRM team - a collaborative group of marketers driven by ownership, experimentation, and impact. Our mission is simple: help members save time and money so they can focus on doing what they love. We use data, creativity, and technology to drive engagement, retention, and long-term value. What We’re Looking For We’re seeking an experienced CRM professional with a strong background in subscription-based technology businesses. You have a proven track record of developing and executing CRM strategies that improve retention and increase customer lifetime value. You understand subscription models, recurring revenue dynamics, and industry best practices in subscription manageme

aisalesforceproject management
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S
Snowflake
📍 Menlo Park• Full-time• $236K – $295K/yr
1mo ago

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 hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

typescriptpythonjava
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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

javapostgresqlmysql
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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. Responsibilities: Expertly lead the NPI BP team, facilitating collaboration among representatives from ADT, HVM, Manufacturing, and PI. Ensure all Global BP processes are strictly implemented and all evidence is meticulously recorded, highlighting and mitigating risks. Assess provided evidence to determine if it meets BP requirements. Coordinate the accurate signing off and recording of transfer documents. Own NPI BP benchmarks, preparing 4-UP if benchmarks fall below targets. Adjust NPI plans in Fab based on product introduction schedules and Qual progress. Collaborate with NPI BP owners to improve current BP and deploy BP in Fab16. Represent NPI BP in audits and support sample shipments for customers, internal qualifications, and engineering. Understand product quality requirements and demand through communication with PEP. Manage CMOS corner samples, following corner BP due to longer cycle times. Attend PDT meetings to update NPI progress and engage in initial NPI planning through Network build meetings. Develop yield curves for each NPI DID, l everaging AI to build models. Minimum Qualifications: Bachelor’s degree in Engineering or a related area, or equivalent practical experience. Proven experience in NPI BP and technology development. Strong leadership and collaboration skills. Ability to assess and mitigate risks effectively. Excellent communication an

artificial intelligenceairecruitment
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L
1mo ago

About the Job: LaunchDarkly's Product Security team is hiring a Product Security Engineer II to strengthen how we secure the platform engineers build with every day. You'll bring depth in security fundamentals and program design as a member of a small, high-leverage team with strong engineering instincts. LaunchDarkly is critical infrastructure. Our security team keeps it safe for the global systems that depend on us. You'll spend most of your time on threat modeling and cloud security posture, with rotating exposure to the rest of the ProdSec surface area. Your work will help developers move fast without sacrificing security, through automation, guidance, and the kind of partnership that makes the secure path the easy one. You'll report to the Director of Security and work closely with software engineers, product managers, and other security engineers. We expect you to bring a sharp point of view on where AI can take work off the team's plate and make our coverage deeper. Responsibilities: Lead threat modeling engagements on the features and services where the risk warrants it. Partner with the ProdSec lead to evolve the practice from on-request to repeatable, with clear criteria for when an engagement is worth running. Own day-to-day triage of CNAPP findings end to end. Investigate, prioritize, route to service owners, and close the loop. Look for patterns that point to systemic fixes instead of one-off cleanup. Contribute to SDLC tooling, SAST / SCA workflows, and bug bounty triage as the team's work demands. Partner with product engineering teams as a trusted reviewer. Catch issues early, explain the why, propose paths forward. Say no when needed, with reasons and alternatives. Bring AI to the work. Use it to accelerate triage, summarize findings, draft threat models, scan code, and reduce toil. Help the team build durable patterns for safe and effective use, not one-off prompts. Push the security floor up over time through documentation, office hours, small too

REMOTEtypescriptpythonai
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D
Decagon
📍 London• Full-time• £145K – £180K/yr
1mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j

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