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. With Roblox Ads business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users, and more business values to our advertisers. We’re looking for an EM to lead a team of exceptional ML infrastructure engineers, build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You Will: Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference. Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment. Recruit, mentor, and grow a high-performing team of ML infrastructure engineers. You Have: 5+ years of experienc
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As a Regional Manager, Security Sales Engineering, you will lead a team of Specialist Sales Engineers, driving technical execution, operational excellence, and team development across your region. This is an opportunity to be one of the first leaders of this specialist group, and have an outsized impact on the way we pitch and evaluate our Security products. 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. What You’ll Do: Lead, coach, and develop a team of Specialist Sales Engineers focused on Security, 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 region by improving processes, maintaining data qualit
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
Supply Chain AI Technical Program Manager Description - Job Summary • This role is responsible for leading hands-on technical program management during analysis, design, development, testing, implementation, and post-implementation phases of an AI or software feature, solution, or product. The role drives the orchestration of various technical projects and fosters innovation through effective leadership, communication, and technical acumen. The role serves as a bridge between technical teams and business stakeholders, driving the successful execution of technical projects that contribute to the organization's strategic objectives. Responsibilities • Plays a critical role in the planning and execution of the organization's most complex and visible AI projects or programs in support of the continuing evolution of the organization's AI products. • Partners across functions to prioritize, plan, track and execute complex, cross organizational programs while maintaining focus on building high quality programs. • Defines the overall AI vision, strategy, and roadmap to address the problems/opportunities in collaboration with product managers and engineers. • Reaches across functions or departments to mitigate program risks and resolves issues that affect release, scope, schedule, and quality. • Engages with executive leadership and other stakeholders to provide updates, gather requirements, and manage expectations. • Allocates resources, including personnel and budgets, to ensure project teams have the necessary support to achieve objectives. • Ensures that project deliverables meet established quality standards and are aligned with business and technical requirements. • Demonstrates a comprehensive understanding of concepts and principles within own job family and knowledge of other related job families. • Interpret
About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity As a Mechanical Engineering Intern, you will contribute to the mechanical design and thermal validation of advanced AI hardware. Working alongside experienced mechanical and thermal engineers, you will gain hands-on experience with 3D computer-aided design (CAD), laboratory setup, test development, prototype evaluation, and engineering documentation. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You’ll Do Contribute to mechanical design activities using Creo or comparable 3D CAD software, including part modeling, assemblies, drawings, and design updates under the guidance of experienced engineers. Work with the thermal engineering team to develop test procedures and help set up laboratory capabilities for evaluating AI hardware. Support thermal and mechanical testing using appropriate laboratory equipment; collect, organize, and analyze test data. Assist the mechanical and thermal design teams with prototype evaluation, troubleshooting, design verification, and documentation of findings. Collaborate with cross-functional engineering partners, communicate progress and issues clearly, and follow applicable laboratory and safety procedures. What You’ll Bring Current enrollment in a bachelor's, master's, or doctoral program in mechanical engineering or a related discipline during the internship. Students in other disciplines with relevant mechanical engineering exper
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per w
Python / Django Developer (Backend) K12 Techno Services • Bengaluru, Karnataka • via Cutshort ₹15L–₹20L a year Full–time Job description Designation: Python/Django Developer (Backend) Department: Software Engineering Team Location: Whitefield (Bangalore) Qualification: Any Computer (Graduate or Post Graduate) Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS. Responsibilities: • Help design and implement functional requirements • Build efficient back-end features in Python • Integrate front-end components into applications • Manage testing and bug fixes • Prepare technical documentation • Collaborate with UX/UI designers to implement design into the code • Coach junior team members • Implement software enhancements and suggest improvements Skills Required: • Experience with Python frameworks (e.g. Django, Flask, FastAPI) • Familiarity with Amazon Web Services (AWS) cloud technologies • Excellent understanding of REST API Development and HTTP Methods • Understanding of databases and SQL • Good experience in working with RDBMS • Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance. • Knowledge of web stack - javascript, html, web frameworks like React.js is a plus • Good understanding of Good Troubleshooting experience and exposure • Ability to work with Jr engineers, mentor, guide and help them • Enjoys coding and problem solving • Good communication skills. Ability to express ideas clearly and concisely • Familiarity with code versioning tools (such as Git, SVN, and Mercurial) Salary: Upto 21LPA (Negotiable) IMMEDIATE JOINING PREFERRED!
Python / Django Developer (Backend) K12 Techno Services • Bengaluru, Karnataka • via Cutshort ₹15L–₹20L a year Full–time Job description Designation: Python/Django Developer (Backend) Department: Software Engineering Team Location: Whitefield (Bangalore) Qualification: Any Computer (Graduate or Post Graduate) Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS. Responsibilities: • Help design and implement functional requirements • Build efficient back-end features in Python • Integrate front-end components into applications • Manage testing and bug fixes • Prepare technical documentation • Collaborate with UX/UI designers to implement design into the code • Coach junior team members • Implement software enhancements and suggest improvements Skills Required: • Experience with Python frameworks (e.g. Django, Flask, FastAPI) • Familiarity with Amazon Web Services (AWS) cloud technologies • Excellent understanding of REST API Development and HTTP Methods • Understanding of databases and SQL • Good experience in working with RDBMS • Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance. • Knowledge of web stack - javascript, html, web frameworks like React.js is a plus • Good understanding of Good Troubleshooting experience and exposure • Ability to work with Jr engineers, mentor, guide and help them • Enjoys coding and problem solving • Good communication skills. Ability to express ideas clearly and concisely • Familiarity with code versioning tools (such as Git, SVN, and Mercurial) Salary: Upto 21LPA (Negotiable) IMMEDIATE JOINING PREFERRED!
Job Details: Job Description: As one of the world's largest semiconductor manufacturers, Intel is committed to advancing every aspect of semiconductor technology, from process development and manufacturing to advanced packaging and reliability characterization. Employees within Intel Foundry are part of a global network spanning technology development, manufacturing, assembly, test, and quality organizations across both front-end silicon and advanced packaging facilities. You will join the Foundry Lab Network (FLN), a key organization within Foundry Quality, Reliability, and Labs (FQRL), located at Intel's growing Chandler, Arizona site. This site serves as the technology development hub for Intel's most advanced packaging technologies, including Hybrid Bond Interconnect (HBI), Embedded Multi-die Interconnect Bridge (EMIB-T), glass substrates, Foveros, and future advanced packaging innovations. FLN is actively expanding its laboratory capabilities and capacity to support Intel Foundry's roadmap, enabling faster technology qualification and accelerating development cycles through Quick Turn Monitoring (QTM) solutions that significantly reduce time-to-data. As the Stress Test and Reliability (STaR) Back-End Laboratory Manager, you will play a critical leadership role within FLN. You will partner closely with Packaging Technology Development, Quality and Reliability, and Failure Analysis teams to establish and enhance laboratory capabilities that support qualification and certification of next-generation packaging technologies and products. This position offers a unique combination of people leadership, technical problem solving, and organizational strategy. You will lead a team of 7-10 talented engineers, spearhead cross-functional efforts to resolve complex reliability and technology challenges, drive strong quality and operati
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent engineering manager to own and deliver an end to end manageability stack for Data Center Systems. We are seeking an experienced manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build OpenBMC based manageability software stack for NVIDIA’s next generation Data Center Compute Systems. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you’ll be doing: Own and deliver OpenBMC based manageability stack for next generation Data Center Compute Systems. Own firmware delivered to data centers in terms of quality, reliability and telemetry performance. Manage and lead a distributed team of software engineers to deliver firmware stack with high quality. Work with data center architects and cloud customers for correct requirements and scope implementation to ensure speed of light product development. Work closely with cross functional teams to ensure scalable manageability architecture for all data centers products Drive efficiency, reliability and optimization in firmware architecture from a data center view point. Work closely with customers and internal teams to resolve issues at Speed of Light. What we need to see: BS, MS, or PhD in EE/CS or related field o
Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward. What you’ll do here Build and close a strong pipeline of enterprise accounts with large engineering organizations Generate qualified opportunities through outbound prospecting and inbound leads Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction Collaborate with Sales Engineers to deliver a thorough technical evaluation Partner with decision-makers and technical stakeholders throughout the sales cycle Travel as needed to support deals and customer relationships What we’re looking for Currently based in Australia or Singapore 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies) 3+ years selling into Fortune 500 companies Experience engaging with software engineering leaders and technical decision-makers Understanding of DevOps, CI/CD, platform engineering, and developer tools Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc) Comfortable with outbound motion and partnering with Sales Engineers Track record of exceeding quota and pipeline goals Strong communication skills - written, verbal, and in presentations Familiarity with different sales cycles (startup, midsize, enterprise) Creative, analytical, and highly self-motivated Ability to travel up to 15% Bonus tacos if you hav
Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward. What you’ll do here Build and close a strong pipeline of enterprise accounts with large engineering organizations Generate qualified opportunities through outbound prospecting and inbound leads Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction Collaborate with Sales Engineers to deliver a thorough technical evaluation Partner with decision-makers and technical stakeholders throughout the sales cycle Travel as needed to support deals and customer relationships What we’re looking for 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies) 3+ years selling into Fortune 500 companies Experience engaging with software engineering leaders and technical decision-makers Understanding of DevOps, CI/CD, platform engineering, and developer tools Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc) Comfortable with outbound motion and partnering with Sales Engineers Track record of exceeding quota and pipeline goals Strong communication skills - written, verbal, and in presentations Familiarity with different sales cycles (startup, midsize, enterprise) Creative, analytical, and highly self-motivated Ability to travel up to 15% Bonus tacos if you have A technical background or meaningful exp
Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward. What you’ll do here Build and close a strong pipeline of enterprise accounts with large engineering organizations Generate qualified opportunities through outbound prospecting and inbound leads Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction Collaborate with Sales Engineers to deliver a thorough technical evaluation Partner with decision-makers and technical stakeholders throughout the sales cycle Travel as needed to support deals and customer relationships What we’re looking for Currently based in California 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies) 3+ years selling into Fortune 500 companies Experience engaging with software engineering leaders and technical decision-makers Understanding of DevOps, CI/CD, platform engineering, and developer tools Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc) Comfortable with outbound motion and partnering with Sales Engineers Track record of exceeding quota and pipeline goals Strong communication skills - written, verbal, and in presentations Familiarity with different sales cycles (startup, midsize, enterprise) Creative, analytical, and highly self-motivated Ability to travel up to 15% Bonus tacos if you have A technica
At Lyft, our mission is to serve and connect. Fleets is a dynamic area working with 3rd-party partners to match autonomous, livery, and taxi fleets with the Lyft marketplace; managing programs for special vehicles like Express Drive rentals, electric, and premium vehicles; and crafting tooling for on-the-ground fleet operations. As an Engineering Manager on Global Growth, you’ll be responsible for setting the technical direction for the team, making tradeoffs between technical investments and product work, and communicating the strategy transparently to the team and to leadership. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will lead a group of talented engineers and help the team to deliver business impact while being open to change through constant experimentation. If you enjoy collaborating with technical and nontechnical partners on a product with real-world impact, this is the role for you. Responsibilities: Lead a team of talented backend and mobile engineers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help develop their careers, and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Set the technical vision and strategy for an evolving product area Co-own the product strategy with the product partner and ensure timely delivery with high quality of the engineering solutions Create plans for prioritizing technical and resourcing challenges in your organization Maintain a balance between building sustainable, high-impact projects and shipping things quickly Instill a spirit of continuous improvement in the team’s code, architecture, and processes Work closely with the Lyft recruiting team
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data. Work closely with product and business teams to identify important questions and answer them with data. Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. Conduct exploratory analysis on internal data to understand user behavior to inform product development. Drive the collection of new data and the refinement of existing data sources. Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution. Predict future performance of users or products. Define, measure, and monitor key outcome metrics for teams and support Stripe’s business. Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization. Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of
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