Model Validation Senior Manager Jobs

About Tr1X Tr1X is a clinical-stage biotechnology company developing engineered Tr1 cell therapies to restore immune balance in autoimmune and inflammatory diseases. Leveraging the unique biology of Tr1 cells, the company is advancing a pipeline of off-the-shelf allogeneic and in vivo CAR-Tr1 therapies designed to deliver targeted immunoregulation and address diseases driven by immune dysfunction, including transplant-related complications. Founded by pioneers in the discovery of Tr1 cells, Tr1X, Inc. is focused on developing durable, potentially curative therapies for conditions with high unmet need. For more information, visit www.tr1x.bio. Position Summary The Senior Scientist, In vivo Immunology – Targeted LNP Delivery is an experienced, hands-on immunologist who leads the biological design and evaluation of targeted lipid nanoparticle (tLNP) formulations supporting the Tr1X in vivo chimeric antigen receptor (CAR)-Treg platform. Reporting to the Executive Director of Biology, this individual plays a central R&D role in advancing tLNP delivery systems — defining the immunological targeting rationale and driving in vitro and in vivo proof-of-concept studies — to enable precise, immune cell-specific delivery of nucleic acid payloads. This is a high-impact, science-driven role focused on the discovery and development of Tr1X’s next-generation tLNP delivery platform. The Senior Scientist brings deep expertise in immunology, particularly T cell and Treg biology, hands-on experience applying tLNPs in immune cells, strong experimental rigor across in vitro and in vivo studies, and the ability to thrive in a fast-paced startup environment. Key Responsibilities Partner with formulation and chemistry colleagues on the design and optimization of targeted lipid nanoparticle (tLNP) formulations for mRNA payloads, owning the immunological targeting criteria and biological evaluation. Design and execute in vitro and in vivo studies, including humanized models,

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. As a Fab16s (Tainan) Scanner Equipment Manager, you will… Lead and manage a team of equipment engineers to oversee the installation, modification, upgrade, and maintenance of manufacturing equipment. Study and optimize equipment performance, reliability, upgrades, and safety. Drive programs to improve uptime and resolve equipment issues impacting manufacturing, while leveraging AI-driven analytics and automation to enhance decision-making, predictive maintenance, and operational efficiency. Provide technical support to manufacturing equipment repair and process engineering organizations. Responsibilities and Tasks • Forecast and budget for equipment upkeep costs and related expenditures. Drive improvement activities to reduce costs by utilizing AI-based cost modeling and predictive maintenance insights . • Develop systems and procedures to ensure first-time success in PM, and drive effective troubleshooting with low MTTR and spare cost through AI-assisted fault detection, root cause analysis (RCA), and knowledge systems . • Work closely with Process and Manufacturing Managers to address equipment constraints and OEE. Leverage AI/ML models to optimize tool performance, throughput, and metrology sampling strategies . • Establish and monitor vendor performance metrics to drive quality and cost improvements. Utilize data analytics platforms and AI-based benchmarking to evaluate supplier performance and identify optimization opportunities.</p

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. Fab16s (Tainan) Scanner Process Manager As a Fab16s (Tainan) Process Manager, you will… Lead and manage a team of process engineers to oversee process development, optimization, and sustaining in semiconductor manufacturing. Drive process performance, yield improvement, and cost optimization while leveraging AI-driven analytics, automation, and advanced data modeling to enhance decision-making, process control, and operational efficiency. Provide technical leadership and support across manufacturing, equipment, and integration teams. Responsibilities and Tasks • Forecast and manage process-related operational costs, including materials, yield loss, and metrology expenses. Drive cost reduction initiatives through AI-based yield analysis and predictive modeling. • Develop and implement robust process control systems to ensure stability, repeatability, and high yield. Leverage AI-assisted fault detection, root cause analysis (RCA), and knowledge systems to improve excursion response and reduce variability. • Work closely with Equipment Engineering and Manufacturing teams to address process constraints and optimize OEE, yield, and throughput. Utilize AI/ML models to improve process windows and sampling strategies. • Partner with cross-functional teams to develop scalable process solutions, integrating AI-enabled monitoring systems, digital dashboards, and smart alerting for real-time process health tracking. • Provide support to ensure compliance with EHSS

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. The IT Informatica Solution Architect plays a key role in Micron’s enterprise data transformation initiatives by enabling accurate, governed, and scalable master data processes across PLM, SAP, Informatica MDM (IDMC), and Enterprise systems. In this role, the individual is responsible for designing, developing, configuring, and supporting Informatica MDM solutions, ensuring the delivery of high-quality, reliable, and performant data services. The individual will contribute across the full software development lifecycle i.e., analyzing requirements, designing architecture, developing solutions, and supporting ongoing enhancements. The position requires strong functional and technical expertise, with the ability to integrate multiple technologies and deliver scalable, business-aligned solutions while minimizing defects, downtime, and performance issues. Responsibilities: Design and implement Informatica MDM/IDMC solutions across Customer, Supplier, Product, and Bill of Materials domains. Align MDM capabilities with enterprise data strategy, governance objectives, and SAP S/4HANA transformation initiatives. Drive modernization through Informatica IDMC technologies, including CDI, CAI, CDQ, APIs, and related integration services. Partner with business collaborators, product owners, and IT teams to translate requirements into scalable, high-quality data solutions. Develop data models, hierarchies, relationships, and reference data while establishing matching, merging, survivorship, and data quality proc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As an FP&A Intern, you'll join the FP&A team within the Finance organization and help power the financial planning engine behind Coinbase's revenue-generating product groups. This team delivers forecasting, variance analysis, and strategic deep dives that inform how leadership allocates resources and evaluates business health. You'll build revenue models, analyze macroeconomic drivers, and create dashboards that give cross-functional partners real-time visibility into performance across product lines. What you'll do: Build revenue forecasting models for new or existing Coinbase products, identifying macro and controllable drivers that explain and predict performance Conduct quantitative deep dives on the correlation between Coinbase revenue segments and macroeconomic or crypto economy variables Create dashboards summarizing key metrics to evaluate year-over-year performance across revenue lines Partner with cross-functional teams including Business Operations, Data, Accounting, Treasury, and Investor Relations to surface risks and opportunities Required Skills and Experience: Currently pursuing a degree or certificate in Finance, Economics, Business Administration, Data Science, or a related quantitative discipline Demonstrated financial modeling capability through coursework, projects, or prior internships, in

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team... At GoDaddy, we're building the next generation of AI and machine learning capabilities that power experiences for millions of entrepreneurs worldwide. Our Machine Learning Engineering team bridges the gap between research and production, transforming cutting-edge models into scalable, reliable, and observable services that operate at global scale. We're looking for a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands-on role where you'll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions while helping shape the future of our machine learning platform. As a senior technical leader, you'll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team. What you'll get to do... Experience deploying and operating machine learning or generative AI workloads using technologies such as vLLM, Triton, TorchServe, SageMaker Endpoints, or similar serving frameworks. Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch. Experience with vector databases, feature stores, caching technologies (Valkey/Redis), and infrastructure-as-code solutions

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business impact. This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design experiments, build models, and deliver data-driven recommendations that shape how millions of customers experience crypto. You will gain hands-on experience at a publicly traded crypto-native company, with mentorship from senior data scientists and direct exposure to how data shapes the company. What you'll do: Collaborate with product teams to create analyses and build models that drive measurable business outcomes. Support the design and execution of experiments, including A/B tests and causal inference methods. Build and maintain analytical datasets and pipelines that ensure data integrity and power your analyses and models. Distill complex analyses into clear, actionable insights through data-driven storytelling for technical and non-technical audiences. Partner with senior team members on analytical deep dives to diagnose and address complex business problems. Required Skills and Experience: Coursework or project expe

Hier ist eine Zusammenfassung der Rolle: Diligent sucht einen Senior Field Marketing Manager (Deutschsprachig) für unser Field Marketing Team. Du arbeitest gerne eng mit dem Vertrieb zusammen, sprichst gezielt Ziel-Accounts an und machst aus Marketingaktivitäten einen messbaren Beitrag zum Umsatz. Als Senior Field Marketing Manager, DACH, spielst du eine zentrale Rolle bei der Beschleunigung der Pipeline und der Steigerung der Bookings in Deutschland, Österreich und der Schweiz. Dein Fokus liegt darauf, bereits engagierte Accounts und bestehende Pipeline durch den Funnel zu bewegen und dem Vertrieb über zielgerichtete ABX-Maßnahmen, strategische Events und Opportunity-Acceleration-Programme neue Chancen zu eröffnen. In enger Abstimmung mit der DACH-Sales-Leitung, dem SDR/BDR-Team und den zentralen Demand-Generation-Teams verbindest Du eine enge Vertriebspartnerschaft mit hands-on Umsetzung und datengetriebenem Tracking, um messbare Ergebnisse zu erzielen. Diese Rolle ist in München angesiedelt und wird in einem hybriden Modell ausgeübt, mindestens 50 % Deiner Arbeitszeit verbringst Du im Büro. Leider können wir keine Visa-Sponsorship anbieten. Du musst daher bereits berechtigt sein, in Deutschland zu arbeiten. Hier ein Überblick über Deine Aufgaben (nicht vollständig, aber die wichtigsten Punkte): Pipeline-Beschleunigung & Conversion Du verantwortest gemeinsam mit der DACH-Sales-Leitung die regionalen Ziele für Opportunity Progression und Bookings • Du konzipierst und setzt ABX-Programme für Top-Ziel-Accounts um und stimmst Outreach, Content und Events auf Buying Committees und aktive Deal-Zyklen ab • Du entwickelst Programme, die stagnierende Opportunities reaktivieren und Deals in späten Funnel-Phasen (Proof of Value, Executive Alignment, Procurement) voranbringen • Du arbeitest direkt mit Sales und SDR/BDR an Account-Level Plays, die qualifizierte Pipeline bis zum Abschluss vorantreiben Field Programs & Events D

About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. About the Role: We are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems. As an i

Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale. About the role Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff. Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance. This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient. What you'll do Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience. Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences. Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences. Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started. Diagnose adoption barriers. Determine whether

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role We're looking for an exceptional software engineer to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You'll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works. This role is hybrid, based out of our San Francisco, New York City, or Seattle hubs. You'll report to our senior director, engineering . 🦸🏻‍♀️ What you’ll do Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power missio

Company Name: tastytrade Role: Senior Site Reliability Engineer - Linux Systems & Application Observability Location: Chicago, IL (Hybrid, 3 days/week in office) Role Summary Come join tastytrade, part of IG Group, as we build the reliability practice behind the brokerage platform that active options, futures, and equities traders rely on every market day. As our first Senior Site Reliability Engineer, you'll harden the systems behind order execution and market data delivery — designing for fault tolerance, closing gaps in our telemetry, and making sure our HashiCorp Nomad-based service fabric scales cleanly as trading volume grows. You'll work embedded alongside our infrastructure and application engineering teams, contributing directly to our Ruby, Java, and Elixir services. This is a rare opportunity to shape a practice and a culture from day one, on a platform where every order, quote, and position has to be right, because real client capital is on the line. What You'll Do (Job Responsibilities) • Build self-healing, fault-tolerant infrastructure and internal tooling that automates repetitive operational work and reduces toil for Platform and Application teams. • Run gap analysis across our observability stack to find blind spots in telemetry, logging, and alerting coverage, then close them so failures surface before customers feel them. • Own scalability work across our HashiCorp Nomad service fabric: capacity planning, load testing, and identifying architectural bottlenecks before they become incidents. • Extend our observability stack (Prometheus, Honeycomb, OpenTelemetry) with the instrumentation needed to actually see the failure modes above. • Set SLOs and error budgets with multi-window burn-rate alerting for critical brokerage flows, once the fault-tolerance and telemetry foundation is in place. • Mentor engineers across teams to build a culture of site reliability champions so the practice outlives any one person. Who You Are (Skills Needed) • Hands

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 . Reddit is looking for a solution builder focused on Go-to-market Insights and Automation to join our Central Operations team. In this role, you will be the technical engine behind our data-driven Go-To-Market (GTM) strategy. You will design and implement workflows that automate our reporting ecosystem, ensuring that our sales teams have the insights they need to succeed without the manual overhead. As a member of Central Ops, you will bridge the gap between high-level strategy and technical execution, working across a sophisticated tool stack to solve real-world operational challenges. Location: Must be based within a commutable distance of one of our hub offices in Los Angeles, San Francisco, Chicago, or New York Responsibilities: Execute Technical Builds: Perform the technical work required to build within and across our core tools (such as BigQuery, Matik, Clay, Gong, and others) to achieve automated reporting objectives. Lead the design and development of data models and robust pipelines. Collaborate: Work with sales and business stakeholders to understand their data requirements and deliver actionable insights. Align with Business Metrics: Act as a technical partner to ensure all reporting builds align with measurable business objectives, such as "saving Account Managers time". Establish Governance: Work with Product Owners to define and implement best practice "recipes" for tool usage and reporting consistency across the organization. Drive Technical innovation Proactively identify and resolve data qua

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: SQL / Python / Looker / Snowflake / dbt What you'll do: Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner Build processes supporting data transformation, data structures, metadata, dependency and workload management Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization) Develop and implement data analytics models Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 4+ years of data engineering experience Working with cloud-based application development, and be fluent in at least a few of: Cloud services providers like AWS Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc Big data tools like Spark, Ka

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP is accelerating the adoption of AI across the enterprise, investing in a portfolio of strategic initiatives designed to transform how work gets done across our global business. Within Enterprise Technology, we're enabling this transformation by building the platforms, capabilities and operating models that will power the next generation of work. From Microsoft Copilot and intelligent automation to emerging AI technologies and agentic workflows, we're embedding AI into the fabric of how WPP operates globally. We're looking for a Programme Manager (Value & Delivery) to help us understand, measure and evidence the impact of AI across the organisation. This role sits at the centre of WPP's Enterprise AI adoption and measurement capability. You'll own the data, reporting and analytics that enable senior leaders to understand how AI is being adopted, where value is being created and what actions are needed to accelerate impact. We're looking for someone who combines strong analytical and data modelling expertise with a delivery mindset. You'll be responsible for building trusted ex