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P-1562 As a Leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents. The Impact You Will Have Hire, onboard, and develop a top-tier team of designated support engineers (DSE) Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs. Contribute to program enhancements and offerings tailored to evolving customer needs Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction Conduct internal and external Support Experience QBRs What We Look For 15+ years of industry experience, with at least 6+ years of management experience Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles Ability to work with strategic customers, driving multiple competing priorities Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP) 5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We are the first line of defense against fraud and abuse on the Plaid platform. Our mission is to ensure the safety and integrity of our platform for consumers and customers. As a Fraud and Abuse Operations Analyst , you will be responsible for responding to fraud and abuse events, investigating claims, and triaging incidents. We also partner with product and engineering teams to inform and improve fraud mitigation strategies. Responsibilities: Safeguard Plaid's Platform: Participate in the abuse on-call rotation, directly protecting our users and customers by responding to and resolving fraud and abuse events. Your timely actions will be instrumental in maintaining trust and security. Drive Investigations and Mitigate Risks: Investigate fraud and abuse claims from diverse sources, partnering with senior teammates on complex cases. Your findings will inform decisions and strategies, directly impacting Plaid's ability to prevent future incidents and minimize financial losses. Proactively perform threat modeling of abuse surfaces and continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors Support Incident Response: Help triage and manage fraud and abuse ev

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Technology is the driving force behind THG Ingenuity, and it starts with our people. We are ambitious with our goals and challenge conventional thinking. THG Technology is different because we support every single person to make massive impact and drive their own work. Our people are always learning, and we work every day to ensure our technology, from our software platforms, to our ML capability and beyond, is world class. This enables us to keep powering THG ingenuity and our partners on a global scale. Responsibilities: · Facilitate the generation of solutions, validating and prioritysing before driving implementation · Define project scope, objectives, and requirements. Develop a detailed project plan, including timelines, tasks, and resource allocation. · Build and lead a cross-functional team, assigning tasks, setting priorities, and ensuring collaboration among team members. · Identify potential risks and develop mitigation strategies to minimize project disruptions. · Maintain open communication with stakeholders, providing updates on project progress and addressing concerns or changes. · Ensure that the project's deliverables meet quality standards and specifications. · Allocate resources effectively to ensure that the project has the necessary tools, equipment, and personnel. · Monitor project timelines and adjust as needed to keep the project on track. · Address issues and obstacles that arise during the project, finding solutions to keep the project moving forward. · Maintain accurate proj

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: Drive the statistical direction and technical strategy for OpenAI’s experimentation platform Design and improve experimentation methodolo

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Own the roadmap for sensitive deployment Integrity controls and readiness criteria. Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. Create launch and deployment playbooks for sensitive customer, capability, and product contexts. You might thrive in this role if you: Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety. Can turn am

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 looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in Python Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 7+ years of experience in a software engineering position Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems Have experience building metrics and measurement systems or data and privacy management systems Have worked closely with op

About Us: Paytm is India's leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them into the mainstream economy with the help of technology. About the team: The legal team facilitates legal risk and compliances centrally and ensures business activities are conducted in conformity with all applicable laws, regulations, internal policies, and procedures. Serve as liaison for local regulators, and legal bodies as well as maintaining relationships with them. Ensure local regulatory permissions for Paytm remain current and appropriate for business needs. About the role: The major responsibilities would include being a part of the legal Contracts team to ensure effective management of legal and contractual matters for One97, Paytm Money and Paytm Payment Services Limited. in addition to identification and mitigation of legal risks for the organization. The person will be a part of the legal team and assist senior legal colleagues in special and upcoming projects under the e-commerce and fintech division of Paytm. Responsibilities: 1. Drafting, reviewing, red-lining, negotiating, and finalizing documents like Banking Alliances, Corporate PSA’s, promotional agreements, Escrow agreements, Marketing agreements, Acquiring agreements, promotions, Banking referrals, Distribution contracts, EDC Contracts., Letters, Proposals, RFPs, etc. from a legal perspective, ensuring minimal/no risk to the organization. 2. Resolve any contractual issues developed while working with clients, partners, service providers, and vendors. 3. Collaborate with other cross functional teams (compliance, product, finance, business teams) for implementation of special projects across all business verticals in a time bound manner. 4. Ability to understand and analyze business requirements/

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

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. Micron Technology is a global leader in memory and storage solutions, transforming how the world uses information to enrich life for all. At the Mask Technology Center (MTC), we develop and manufacture advanced photomasks that enable next-generation semiconductor technologies. As a Photomask Wet Process Engineering Intern, you will join the MTC Cleans Team and contribute to the development of advanced cleaning and resist strip processes used in the fabrication of DUV and EUV photomasks. This role provides hands-on experience in semiconductor process development, defect reduction, contamination control, and data-driven engineering. You'll have the opportunity to lead an independent summer project with measurable business and technical impact, and present your technical findings and recommendations to engineering teams and site leadership. Project areas include: EUV and DUV defect reduction, Contamination mitigation and control, Advanced wet cleaning chemistry development, Resist strip process optimization, Tool matching and qualification, Yield improvement initiatives, Process characterization and capability enhancement, Data analytics and process monitoring Responsibilities You will gain: Hands-on experience developing advanced processes for groundbreaking EUV and DUV photomask technologies. Exposure to semiconductor manufacturing, defect engineering, and process integration. Mentorship from experienced engineers and technical leaders. Opportunity to lead a high-visibility engineering project and present

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. The Executive Director, Client Experience Engineering oversees the myPBM platform in Pharmacy Services Segment in CVS Health. This role involves working with business stakeholders, technology teams, vendors, and external partners to align technology solutions with strategic goals and objectives. Lead a cross-functional team of technology professionals supporting portfolio assets and large data workloads on Angular & Java, Azure, and Google Cloud. Expertise in utilizing cloud technologies to develop and implement modern data domain solutions. Ability to analyze use cases and create innovative solutions that meet business needs. Partner and co-lead solution engineering discipline, guiding, and mentoring talent in implementing solutions across various technology platforms. Collaborate with stakeholders to understand business processes, challenges, and objectives, translating these into effective implementation plans. Assess issue risks and develop mitigation strategies to minimize impact on clients. Build and execute on the platform strategy to be best in class PBM solution. Provide strategic directions to develop and execute our modernization vision by creating single sources of truth within domain contexts. Innovate by adopting and implementing AI into business processes and software engineering. Focus on strategies to reduce the cost of ch

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YO Box is looking for a Senior Incident Commander with a strong Site Reliability Engineering (SRE) skillset and proficient Python for tooling and automation. The GTOC (Global Technical Operations Center) team protects the customer experience, and responsible for detecting customer-impacting failures early, drive rapid mitigation when they occur, coordinate production change risk, and continuously improve how Box runs incidents. In this role, you will be leading critical and blocker incidents and driving them to swift resolution, while leveraging your software engineering expertise to design and build the tools, automation, and processes that define the next generation of cloud operations. You will shape how we improve manageability, obs

P-1489 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale. You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection. Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key Responsibilities Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering. Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes. Leverage

P-1489 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale. You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection. Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key Responsibilities Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering. Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes. Leve

Job Requisition ID # 26WD95847 Position Overview Autodesk is seeking a motivated, experienced, and skilled engineer to join our Connected Delivery platform team. This platform is responsible for enabling the discovery, download, and install of all the Autodesk products, services, and third-part apps. You'll be responsible for building a full-stack application that is resilient, scalable, and highly available. As an ideal candidate, you’ll have led teams developing modern web experiences with cloud services in a fast-paced, agile environment. Responsibilities Lead, design, and develop high-quality, secure, performant applications Provide project and team leadership to break down, estimate, and organize work Participate in agile ceremonies of the scrum team Work closely with the product manager and team to understand and elaborate on the requirements Provide guidance to own team and others on software development best practices Work with the team to troubleshoot code-level problems quickly and efficiently Identify risk and propose mitigation strategies associated with the design Participate in code reviews to ensure new code conforms to the highest standards Interact with internal and external customers to identify and resolve product defects Mentor and develop junior developers Respond on a rotation basis to escalated incidents after hours or on weekends to ensure 24/7 availability of our platform Minimum Qualification BS in computer scie

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. The Role We are looking for a quantitative, AI-fluent early-career professional to fill a data science role focused on payments data across Square and Cash App. You will partner closely with Product, Operations, Finance, and Engineering, leveraging data tools to optimize our payments platform from success rate, to cost efficiency, to risk mitigation. In addition to vertical work focused on the Payments domain, we also expect you to contribute to horizontal initiatives across the broader Data Org from data systems, to process and tooling. You Will Leverage AI to create scalable data tools, agents, and automations Partner with Product, Engineering, Finance, and Operations teams to systemize and make data-driven deci