Senior Engineer Deg Layout Jobs

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 As an Enterprise Account Executive based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Key responsibilities Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance Preferred qualifications 8+ years of enterprise sales experience in Korea, with significant exposure to financial services A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help Oil & Gas customers understand the deep impact that highly capable AI models can bring to their businesses, operations, employees, and customers. This role is a mixture of technical understanding, industry expertise, vision, partnership, and value-driven strategy. As an Account Director focused on Oil & Gas, you will own executive-level relationships with leading energy companies and help them safely and effectively deploy OpenAI’s technology across their organizations. You’ll work with customers to identify and scale high-impact use cases across areas such as exploration and production, field operations, asset performance, predictive maintenance, engineering, supply chain, safety, regulatory workflows, workforce enablement, customer support, and enterprise knowledge management. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure and successful deployment. You’ll work with researchers, engineers, and solution strategists to help customers transform their operations and evolve the Oil & Gas industry with AI. In this role, you'll: Manage a small number of key Oil & Gas accounts, developing and executing comprehensive account strategies. Build trusted relationships with senior executives and business leaders across techn

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory c cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the region by

GAQ327R175 About the Role This role is a part of the Finance Organisation. As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability. You will work closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP&A, and Finance leadership to define what gets built and how. What You Will Do: Design and develop ETL pipelines using Databricks SQL and Python / PySpark to enhance reporting, automate journal entries, and transform core financial processes across various domains in accounting and FP&A, such as revenue, expenses, equity, commissions, and tax Architect, build, and own the most complex finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations Lead the technical design of AI use cases for the Finance and Accounting organisation, including forecasting automation, anomaly detection, and natural language interfaces to financial data Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders Design and deliver curated Finance datasets and enforce row-level security, data access policies, and Unity Catalog governance standards Define and champion coding standards, data modelling conventions, documentation practices, and testing frameworks across the Finance engineering team Enforce and evo

Sr. Content Marketing Manager Location: San Francisco, CA · In-office 4 days/week Team: Strategic Marketing Reports to: Sr. Director, Strategic Marketing About the role Sigma produces a lot of content — blog, video, product launches, thought leadership — and this role is the editorial backbone that makes all of it sharper, faster, and on brand. You'll run the Sigma blog end-to-end, raise the quality bar on everything that ships, and build the systems and internal bench that let us scale content without losing voice or accuracy. This is a senior, hands-on editorial role for someone who edits with both technical judgment and taste. You'll work shoulder-to-shoulder with PMs and engineers to keep content accurate, coach employees and contractors to produce great work, and bring new thinking to how Sigma earns awareness. You'll join an established content team and won't have to do it all yourself — a Content Producer partners with you on publication and operations. This role reports to the Sr. Director of Strategic Marketing, with room to grow into people management as Sigma's content team scales. What you'll own Editorial standards and editing Edit a high volume of blog posts, balancing technical nuance with taste. You're comfortable editing in the data, analytics, apps, or AI space — you don't need to know everything, but you know what you don't know, flag it, and lean on PMs and engineers to keep content accurate and clear. Keep Sigma's content on brand across every channel and format. Reinforce the standards that contribute to great content: Clear positioning, high-quality imagery, and connected messages across multiple content pieces. Blog and AEO operations Run the Sigma blog end to end: calendar, editorial standards, and publication. Manage the AEO content calendar and the relationship with Sigma's AEO contractor, ensuring 5 AEO blogs are edited, SME-reviewed, and published each week. The team's Content Producer supports publication, with you s

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory Collaborate cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the

Technical Principal at Thoughtworks can wear many hats. Depending on the client situation, you could be playing the role of a technical advisor to senior client executives, guide and direct solution architecture for large technical programs of work or drive technical implementation hand-on with our delivery teams. Technical Principal also provide strategic and tactical leadership on accounts, establishing and maintaining trusted advisor status through high-impact client interactions. By empowering Thoughtworker engagement through cultivating high-performing teams, you will continuously deliver undeniable value to our clients, contributing to the growth and scale of our evolving business. Ultimately, the health of an account is a reflection of the capability and efficiency that you cultivate. Additionally, in joining Thoughtworks Vietnam in this role, you will also be a part of the senior leadership team looking after the growth of our Vietnam team, cultivating the next generation of leaders and building the culture of innovation, delivery and technical excellence and AI-first mindset for our Vietnam engineers. Job responsibilities You will champion and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns. You will exemplify Thoughtworks’ technical excellence, thought leadership and capabilities to our clients and inside Thoughtworks. You will actively drive the highest level of AI-first software delivery (AIFSD) adoption across accounts, demonstrating a deep, strategic understanding of AI's potential to improve client and team outcomes. You will act as a trusted technical advisor to your client by building key relationships and understanding the market and trends that could impact them. You can sense opportunities for improvement and are comfortable proposing and leading systemic change in organizations. You will assess client needs and develop the account strategy and proactive proposals needed to del

The Team + The Role Pendo’s GTM Enablement function builds the playbook, systems, and reinforcement loops that help customer-facing teams perform consistently and measurably. The team partners across Sales, Customer Engineering, Revenue Operations, and GTM AI Operations to translate strategy into field behavior that improves revenue outcomes. As Senior Director, GTM Enablement, you will own the enablement operating system for Pendo’s Revenue organization. You will scale Command of the Message reinforcement, build AI-native practice and certification loops, strengthen role-based onboarding, and connect enablement activity to measurable outcomes like ramp time, attainment distribution, pipeline quality, and retention. This role leads a team across role architecture, technical architecture, GTM readiness, and program management, and partners directly with senior GTM leaders to drive decisions that stick. This is a role based in-office in Raleigh, New York, or San Francisco, or Remote in the United States. What this looks like day-to-day Command of the Message scale: Own the next phase of Pendo’s Command of the Message implementation, including reinforcement, manager accountability, AI-assisted practice loops, and certification cycles. Ensure all ramped Account Executives, Account Directors, and Customer Engineers achieve and maintain CotM fluency through Exec.com certification and continuous reinforcement. Manager enablement: Build manager-specific enablement tracks that make first-line and second-line managers active owners of change. Establish coaching accountability checkpoints, measure manager adoption, and ensure managers can coach the methodology in deal reviews and field interactions. AI-native reinforcement: Design r

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pref

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Role Overview This role is part of a Finance Entry-Level / Fresh Graduates Programme, designed to develop high-potential graduates into future finance leaders. You will gain exposure across Tax, Treasury, Internal Audit, and E-commerce Accounting. Job Responsibilities 1. E-commerce Accounting Monthly closing and reconciliation for e-commerce platforms Revenue recognition and settlement tracking Analysis of sales, returns, and platform fees 2. Tax & Compliance Assist in GST/VAT filings across jurisdictions Support tax computations and transfer pricing Monitor tax risks and compliance requirements 3. Treasury Cash flow forecasting and working capital monitoring Support banking operations and FX analysis 4. Internal Audit Support internal controls and SOP implementation Assist in audit testing and compliance reporting Programme Structure 12–24 month rotation programme Mentorship and structured training Requirements Degree in Accounting/Finance Strong Excel and Analytical skills and Power BI Interest in e-commerce and global finance Graduated less than a year Career Path Progression to Senior Accountant, Finance Manager, Tax Specialist, Treasury Analyst, or Internal Audit Lead.

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Quality leadership within Manufacturing Operations, the Senior Reliability Scientist is responsible for leading reliability activities across complex, high-performance systems. Working closely with established reliability experts and cross-functional teams, this role uses experimental data and advanced modelling to inform design decisions, validate product reliability and optimise serviceability strategies, including spares provisioning. The Team The Quality team within Manufacturing Operations is responsible for ensuring product robustness, reliability and lifecycle performance across Graphcore’s hardware portfolio. The team includes experienced reliability specialists and works closely with technology research, chip, board, system design, platform and operations teams to translate reliability insights into actionable improvements across the product lifecycle. Responsibilities and Duties: · Define and refine reliability requirements across silicon, board and system levels, working in partnership with research and design teams · Apply ad

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job / Role Summary The MTS is a senior technical contributor advancing NAND Advanced Thin Films by leading project-level initiatives, executing complex experiments, performing material characterization, and supporting integration and fixing. This role requires strong technical depth in deposition and metrology, consistent delivery of measurable results, and the ability to mentor earlier-career engineers while supporting continuous improvement and transfer readiness. Main Responsibilities Lead project-level initiatives in structural and electrical film processes, especially dielectric (low/ high ‑ k ) and carbon-based films. Carry out complex experiments and support integration under guidance of senior staff; deliver measurable results for the site/department. Support technology transfer and ramp-up activities;

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Manager, Data Center Operations, you'll help us scale our Core Data Center and hardware infrastructure at a time of incredible growth for our business. At Roblox, you'll have boundless opportunities to shape the future of the Imagination Platform™ and demonstrate your passion for delivering thoughtful solutions in front of a global audience. If you know what it takes to build and operate hardware infrastructure that can sustain millions of concurrent players year-round and you take play as seriously as we do, you'll fit right into our highly experienced and ever-expanding engineering team. You will report to the Senior Manager of Data Center Operations. This will be a position based in Goodyear, AZ. You will: Develop and maintain the Core Data Center and hardware infrastructure to meet the large-scale and real-time requirements of our Imagination Platform™ to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental monitoring. Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting and break-fix, and decommissioning. Identify and solve criti

About the Team The DoorDash Research Fellowship is a 3-month program (extendable to 6 months) looking for Summer and Fall 2026 cohorts, for researchers and engineers who want to work on the hardest applied ML and AI problems in local commerce. Fellows are given the resources, autonomy, and access to real-world operational data needed to pursue ambitious research directions — with the goal of producing work that influences both the field and how DoorDash operates at scale. This program is modeled on the best external research fellowships: fellows are treated as independent researchers, not as junior employees on a product team. You pick the problem (within a set of priority areas), you own the direction, and you publish or ship the outcome. You’re excited about this opportunity because you will receive… Dedicated compute allocation sized to the research agenda — GPU clusters for training and inference budgets for experimentation Full access to DoorDash's research infrastructure — our internal RL stack, training and evaluation pipelines, RL environments built on real operational systems, agent evaluation harnesses, and the tooling our own research teams use day-to-day. Fellows are first-class users, not sandboxed visitors. Access to DoorDash operational data — real-world datasets spanning logistics, merchant operations, consumer behavior, and marketplace dynamics, under appropriate data governance Research mentorship from senior researchers and engineering leaders at DoorDash, plus a named research sponsor for each fellow who meets with you weekly and is accountable for unblocking your work Speaker series featuring leading researchers and practitioners from academia and industry — faculty from top ML programs, research leads from frontier AI labs, and senior operators from across tech. Fellows get dedicated 1:1 time with speakers when possible. A cohort of fellows working alongside you — a small, tight-knit group of researchers tackling different problems but sharing