Location: New York, NY

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

Job Description:

We are seeking a Lead Counsel, Commercial to join our Legal team. As a key member of our commercial legal function, you will play a critical role in supporting our Enterprise business unit by negotiating complex revenue deals with Fortune 500 enterprise companies driving the development of agentic AI applications across industries including healthcare, insurance, financial services, and consumer goods and services.

Responsibilities:

• Draft, review, and negotiate master services agreements with Fortune 500 and other companies, working closely with our sales, product, and engineering organizations to close revenue deals

• Draft, review, and negotiate a wide range of other agreements, including partnership, reseller and vendor agreements as well as data processing agreements

• Partner closely with our GTM teams to drive deals and the business forward

• Serve as a trusted legal advisor and business accelerator by providing practical legal counsel to sales, product, engineering, and marketing teams

• Assess legal risk and advise the business accordingly

• Design, implement, and iterate on policies and processes to manage legal and business risk on a global scale

Requirements:

• J.D. from an accredited law school and admission to the New York State Bar in good standing

• 5+ years of combined law firm and in-house experience with training in commercial agreements

• Experience partnering with Sales, guiding negotiation cycles, and closing high-impact revenue deals

• Experience drafting and negotiating complex enterprise licensing, services, and data processing agreements

• An ability to communicate clearly and concisely with business and technical audiences and effectively translate legal concepts for non-lawyers

• A collaborative and low-ego approach to working across the organization, with a "roll-up-your-sleeves" attitude towards tackling novel legal issues

• Deep interest in artificial intelligence, machine learning technology, generative AI, and AI applications

Nice to Have:

• Experience working on IP and technology transactions at a large law firm

• Experience advising growth-stage technology companies regarding legal issues related to AI/machine learning and/or generative AI applications

• Product or privacy counseling experience

Compensation:

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $227,200-$284,000 USD

Benefits:

Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Some of the things you do on a day-to-day basis include: Implement and monitor API integrations that seamlessly connect our diverse systems Manage the ingestion of data and transforming raw data into actionable insights Support data integration processes to ensure optimal performance and data integrity Be an active participant of our development environment, and communicate the best development practices within the organisation (code reviews, automated testing, etc)

Our Tech Stack includes: Python, JavaScript (React) Google Cloud Platform Kubernetes Docker BigQuery, MySQL Airflow

Requirements Knowledge of Python or Java Basic knowledge of SQL Willingness to learn new technologies Technical level of English language proficiency Reliable, open, flexible, and proactive personality Desire to learn and develop professionally

Nice to haves include: Interest in artificial intelligence and neural networks Hardcore table football, ping pong, or darts skills

This position is hybrid (3 days / week) and based in our Budapest office.

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Location: Madrid, Spain

Department: Go To Market

Job Type: Full time

Work Arrangement: Remote

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 customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

You'll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You'll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.

This role is based in Madrid, Spain.

In this role, you will:

• Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan

• Lead our enterprise prospects' journeys from consideration to successful deployment

• Partner with solutions and research engineering to build and execute complex customer programs and projects

• Own a consumption revenue target

• Manage consumption revenue forecasts

• Analyze key account metrics to create reports and provide insights to internal and external stakeholders

• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies

• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

• Support the recruitment and onboarding of other teammates

• Support the development of company culture

We're seeking someone with experience including:

• 10+ years selling platform-as-a-service and/or software-as-a-service

• Achieving revenue targets >$2M per year for more than 3 years

• Designing and executing complex deal strategies

• Supporting the growth of fast-growing, high-performance companies

• Working directly with c-level executives

• Communicating technical concepts to customers and internal stakeholders

• Leading high-visibility customer events (CAB, conferences, product launches, etc.)

• Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

You might thrive in this role if you:

• Are customer-centric. You are motivated to deeply understand your customer's priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

• Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You're excited to educate our customers on AI and how to plan for the future.

• Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.

• Are excited by new challenges. You don't have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You're willing to experiment with new solutions.

• Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Join the team which is building the inferencing software which will be used across our product lines! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.

What you'll be doing:

• Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
• Performance analysis, optimization and tuning
• Closely follow academic developments in the field of artificial intelligence and feature update TensorRT
• Provide feedback into the architecture and hardware design and development
• Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams
• Publish key results in scientific conferences

What we need to see:

• Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)
• 2+ years of relevant software development experience.
• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
• Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models
• Experience working with deep learning frameworks like TensorFlow and PyTorch
• Proactive and able to work without supervision
• Excellent written and oral communication skills in English

NVIDIA is widely considered to be one of technology's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.

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TRAVEL: 3-4 times per year this job will require you to travel within mexico operations (specially between Edo Mex and Irapuato). Usual duration of one week.

Responsibilities:

• Partner closely with the Plant Manager to streamline operations in a fast-paced environment, ensuring efficient time management and operating with a high degree of autonomy to keep big-picture goals moving forward.
• Own the calendar, inbox, and global travel details, anticipating needs across different time zones and clearing roadblocks proactively to avoid agenda interferences. In this activity it will be required a close coordination with your peers from other facilities or plants that are directly or indirectly related to your Plant Manager.
• Manage travels and expenses or invoicing, ensuring timely processing of Plant Manager's travel expenses in alignment with corporate policies.
• Ensure the executive’s preparedness for meetings and operational reviews by securing required reports and data, materials, inviting key attendees, and keeping up-to-date information.
• Collaborate significantly with cross-functional stakeholders, including departmental Operations Leads, staff, and regional/global peers and stakeholders to keep the team connected and aligned.
• Lead events that are directly under the responsibility of the Plant Manager such as Team Integrations, Skip Levels, Visits, Director's Reviews and visits, etc.
• Collaborate with HR & FPS functions in the organization of large-scale events such as staff meetings, all-hands, off-sites, and team gatherings, overseeing all calendaring, communication, technology, and logistics.
• Utilize a robust toolkit, including Outlook, Teams, SharePoint, and MicroSoft tools (Excel, Word, Power Point, MS Forms, etc) alongside with Artificial Intelligence tools to stay organized, visualize performance, and keep administrative workflows running smoothly.
• Maintain the highest level of personal integrity and confidentiality regarding corporate data, sensitive personnel information, and strategic business plans.

Qualifications:

• Bachelor’s degree in Engineering or a related field. We could consider other degrees if there's proven skill of managing KPI's, data management, executive reports, artificial intelligence softwares or similar tools that are useful to comply with responsibilities described above.
• 2-3+ years of experience in business operations, project coordination, or as an Executive Assistant supporting technical or manufacturing leadership.
• 3+ years of advanced Microsoft Software experience, with a heavy emphasis on Excel, Power Point, Word, MS Forms, Copilot or other AI softwares. (data analysis, formulas, summarized and clean reports) alongside Outlook, SharePoint, and Teams.
• Valuable if there is a prior experience working within a manufacturing or technology organization, demonstrating an understanding of operational workflows.
• Strong analytical and organizational skills, with a proven ability to track KPIs, manage budgets, and anticipate the needs of a fast-paced department.
• Excellent business writing and reporting skills, with the ability to synthesize complex operational data into clear, professional communications.
• High degree of professionalism and integrity, essential for handling sensitive financial data, personnel information, and corporate strategy with total confidentiality.
• Ability to work collegially within a team environment, adapting easily to open-concept offices and the dynamic nature of a software-driven organization.

Job Info:

• Job Identification64493
• Job CategoryManufacturing
• Posting Date06/10/2026, 11:09 AM
• Apply Before06/25/2026, 08:00 PM
• Degree LevelBachelor's Degree or equivalent
• Job ScheduleFull time
• LocationsAvenida Rio San Lorenzo # 1475, Irapuato, GTO, 36814, MX(On-site)
• Preferred DegreeBachelor of Engineering

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Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.

In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.

This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.

The Impact You Will Have:

• Drive Revenue Growth

• Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.

• Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.

• Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.

• Execute and scale repeatable sales plays that drive land-and-expand adoption.

• Lead and Develop the Specialist Team

• Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.

• Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.

• Foster a culture of accountability, execution, and customer focus.

• Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.

• Execute the Developer and Platform Sales Motion

• Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.

• Enable the regional core field sales team to identify and qualify operational workload opportunities.

• Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.

• Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.

• Strategic Customer and Partner Engagement

• Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.

• Position Databricks as a premier application data platform alongside its data and AI capabilities.

• Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.

• Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.

• Provide Field Feedback to Product and GTM

• Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.

• Provide structured insights on regional customer requirements, competitive dynamics, and blockers.

• Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.

What We Look For:

• Proven experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.

• Experience directly managing high-performing enterprise sales or specialist teams.

• Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.

• Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.

• Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.

• Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.

• A proven record of meeting or exceeding revenue targets in highly competitive markets.

• Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.

• Excellent communication, coaching, and presentation skills in French and in English.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.

About the Team

The Partnerships team at Mixpanel is responsible for acquiring, activating, and growing a global ecosystem of Certified, Sales, Reseller, Agency, Consulting, System Integrator, and Technology Partners. We help extend Mixpanel’s reach by building partner motions that create new pipeline, accelerate deal cycles, improve customer outcomes, and allow Mixpanel’s go to market teams to scale more effectively.

Our goal is to make Mixpanel the go to product intelligence platform for partners and customers across EMEA and globally. This is a highly cross functional team that works closely with Sales, Marketing, Solutions Engineering, Customer Success, Professional Services, Enablement, Deal Desk, and regional leadership to turn partner relationships into measurable business impact.

About the Role

Mixpanel is in a stage of high growth, and partnerships are a critical lever in how we multiply pipeline, expand regional coverage, and scale revenue across EMEA. As Channel Sales Manager, EMEA, you will report directly to the Senior Manager, Channel & Alliances, EMEA and will be responsible for building and growing a focused portfolio of Channel and Reseller partners across a defined region or set of priority markets.

Your role will be to turn selected partners into active revenue contributors by recruiting the right organisations, enabling their teams, driving account alignment, creating joint go to market plans, and generating partner sourced and partner influenced pipeline. This is not a passive partner management role. You will be expected to create momentum, identify where partners can open doors Mixpanel cannot reach alone, and build repeatable motions that increase partner contribution to pipeline and revenue.

You will work closely with regional Account Executives and Sales leadership to embed partners into target account planning, source new opportunities, support active sales cycles, and help accelerate deals through trusted partner relationships. You will be accountable for building a regional partner business plan with clear targets, partner coverage, pipeline goals, activation milestones, and forecasted revenue contribution.

Success in this role will be measured by the quality and quantity of partner sourced pipeline, partner influenced revenue, active co selling motions, partner generated opportunities, and the strength of the partner ecosystem in your market.

This is a great opportunity for someone who understands SaaS sales, knows how to work with reseller and services partners, and wants to build something visible, commercial, and high impact across EMEA.

Responsibilities

• Own and grow a defined portfolio of Channel and Reseller partners across EMEA, with a clear focus on generating partner sourced pipeline, partner influenced pipeline, and resell revenue.

• Identify, recruit, qualify, and onboard high potential partners in priority markets, including Regional System Integrators, Digital Agencies, Product Development Agencies, Consultancies, and specialist analytics partners.

• Build partner specific business plans that define target accounts, revenue goals, pipeline targets, sales plays, marketing activity, enablement needs, executive relationships, and quarterly milestones.

• Create repeatable partner motions that multiply Mixpanel’s reach, including account mapping, referral generation, co-selling, reseller motions, services led opportunities, regional campaigns, and event based demand generation.

• Work directly with Account Executives and Sales leaders to align partners to priority accounts, identify where partner influence can accelerate active opportunities, and ensure partner involvement is captured correctly in Salesforce and PartnerStack.

• Drive partner pipeline generation by running regular account planning sessions, target account reviews, joint prospecting activity, campaign follow up, and partner sourced opportunity reviews.

• Enable partner sales, consulting, and technical teams so they can confidently identify Mixpanel opportunities, position the platform, qualify customer needs, and support early stage sales conversations.

• Own the day to day management of Mixpanel’s PRM system, ensuring partner communications, deal registrations, onboarding workflows, partner updates, and programme content are accurate, timely, and consistently managed.

• Develop a strong understanding of each partner’s business model, customer base, services capability, commercial incentives, and regional market strengths.

• Partner with Marketing to plan and execute campaigns, webinars, roundtables, executive dinners, customer events, and MDF funded activities that create measurable pipeline.

• Build internal visibility for partner activity by ensuring Sales, Marketing, Customer Success, Solutions Engineering, and regional leadership understand where partners can help create or accelerate revenue.

• Maintain accurate reporting on partner pipeline, forecasted revenue, partner activity, account mapping, campaign performance, and quarterly progress against plan.

• Act as a commercial operator, not just a relationship manager, by constantly looking for ways to turn partner relationships into measurable growth for Mixpanel.

We're Looking For Someone Who Has

• Experience in channel sales, partnerships, alliances, business development, or direct SaaS sales, ideally in a quota carrying or pipeline generating role.

• You will bring direct experience building, managing, or scaling partner relationships across Southern Europe, the Middle East and Africa, with a strong understanding of the SEMEA partner landscape and how to generate pipeline through local resellers, agencies, consultancies, and systems integrators.

• Strong commercial instincts and a clear understanding of pipeline creation, opportunity progression, forecasting, partner sourced revenue, partner influenced revenue, and deal acceleration.

• The ability to translate partner relationships into practical sales activity, including account mapping, joint prospecting, opportunity qualification, co-selling, campaign follow up, and executive alignment.

• A strong understanding of SaaS go to market models, reseller economics, services led selling, partner incentives, and how partner ecosystems can support regional growth.

• Confidence working directly with Account Executives, Sales Managers, Solutions Engineers, Marketing, Customer Success, and senior stakeholders to align around shared revenue goals.

• An entrepreneurial mindset, with the ability to build structure, create momentum, and operate effectively in a fast moving environment where not everything is already defined.

• Strong communication skills and the ability to explain complex value propositions clearly to both commercial and technical audiences.

• A data driven approach to managing partner performance, with the ability to track activity, inspect pipeline, identify gaps, and take action quickly.

• A genuine interest in product intelligence, customer data, digital products, and how companies use behavioural insights to build better customer experiences.

Bonus Points For

• Experience utilizing AI tools as part of your daily workflow.

• Speaking multiple languages.

• Experience working in growth markets.

Benefits and Perks

• Comprehensive Medical, Vision, and Dental Care

• Mental Wellness Benefit

• Generous Vacation Policy & Additional

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EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC, NHL hockey, NBA LIVE basketball, and EA SPORTS UFC.

After nearly 30 years of creating genre-defining, interactive football experiences with the world's biggest football entertainment platform, EA SPORTS FIFA, we are soon beginning a new era. EA SPORTS FC will become the future of football from EA SPORTS – as we aim to take global football experiences to new heights, on behalf of football fans everywhere. With more opportunity than ever to create new, authentic experiences that bring joy, inclusivity, and immersion to a global community of fans, we invite you to join us and pioneer the future of football with EA SPORTS!

As the Lead Online Software Engineer, you will lead the Online engineering area for the EA SPORTS FC franchise, owning execution against the technical vision and the long-term health of the systems that connect our players at massive scale. You will report to the Technical Director and guide a distributed team of 20+ engineers across multiple locations and time zones, owning the delivery of multiplayer, networking, platform, backend, and live service technologies. Working closely with production, design, QA, platform, security, and other engineering leaders, you will ensure online features are performant, reliable, scalable, secure, and ready for launch and live operations. You will balance strategic leadership with deep technical involvement, helping the team solve complex distributed systems challenges while building a strong engineering culture focused on quality, accountability, collaboration, and player experience.

Your Responsibilities:

• Lead the Online engineering area for the EA SPORTS FC franchise, acting as the subject matter expert for online systems and driving execution, quality, and long-term system health in alignment with the technical direction set by the Technical Director.

• Guide, mentor, and coordinate a distributed team of 20+ engineers across multiple locations and time zones.

• Own the delivery of core online systems, including multiplayer networking, matchmaking, sessions, identity, platform services, telemetry, commerce, persistence, backend integrations, and live service infrastructure.

• Partnering with production and operations leads to plan, prioritize, and deliver Online features across milestone, launch, and post-launch schedules.

• Review and guide technical designs for complex distributed, client/server, peer-to-peer, multithreaded, and real-time multiplayer systems.

• Ensure Online systems meet high standards for performance, scalability, reliability, security, maintainability, and player experience.

• Drive engineering best practices across the team, including technical design reviews, code reviews, testing strategies, documentation, incident prevention, and sustainable development processes.

• Identify technical risks early, communicate tradeoffs clearly, and drive mitigation plans across teams and disciplines.

• Oversee integration with first-party platform services, third-party APIs, account systems, matchmaking services, telemetry pipelines, and other external online services.

• Collaborate with platform teams to ensure compliance with Microsoft, Sony, Nintendo, and other platform requirements, including certification and online service policies.

• Partner with central technology teams across the company to integrate shared backend services, online infrastructure, and internal platform capabilities, ensuring they meet the franchise's technical, production, and player experience needs.

• Support launch readiness by driving performance testing, scale testing, reliability reviews, failure-mode planning, and operational readiness for online systems.

• Lead the team through live issues, production incidents, and post-launch improvements, ensuring effective investigation, communication, resolution, and follow-up.

• Establish clear ownership models, escalation paths, and communication rhythms for a distributed Online engineering team.

• Coach engineers on architecture, execution, communication, decision-making, and career growth.

• Balance hands-on technical involvement with strategic leadership, stepping into complex architectural, debugging, performance, or production issues when needed.

• Foster a culture of technical excellence, accountability, collaboration, operational discipline, and player-focused decision-making.

Your Qualifications:

Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or an equivalent combination of education, technical training, and industry experience.

• 10+ years of professional software engineering experience, including significant hands-on experience with C++ in performance-critical, real-time, or large-scale systems.

• 5+ years of experience developing online, multiplayer, networking, backend, or distributed systems for games or other real-time interactive products.

• 3+ years of engineering leadership experience, including leading senior engineers, shaping technical recommendations, reviewing architecture, and driving execution across multiple teams or feature areas.

• Proven experience leading an Online, Multiplayer, Networking, Backend, Platform, or Live Services engineering area on a large-scale game or comparable high-traffic consumer product.

• Deep understanding of Client/Server, Peer-to-Peer, real-time multiplayer, multithreaded, and asynchronous system architectures.

• Strong knowledge of game networking concepts, including latency, bandwidth management, replication, prediction, synchronization, matchmaking, session management, and platform network requirements.

• Experience shipping and supporting at least one large-scale multiplayer, live service, or AAA game through production, launch, and post-launch operations.

• Experience integrating, owning, or supporting third-party APIs, platform services, account systems, matchmaking services, commerce systems, telemetry, or other external online services.

• Experience developing for Microsoft, Sony, and Nintendo gaming platforms, including familiarity with platform SDKs, certification requirements, and online service constraints.

• Strong working knowledge of backend service architecture, distributed systems, databases, caching, scalability, reliability, observability, and operational support.

• Working knowledge of relational databases such as MySQL or PostgreSQL, NoSQL databases such as MongoDB, and in-memory data stores such as Redis.

• Practical experience working with dedicated server environments, including build pipelines, deployment workflows, log analysis, crash investigation, and server-side debugging.

• Proficiency with modern development, debugging, profiling, and performance analysis tools, including Visual Studio and platform-specific tooling.

• Experience using source control and version control systems.

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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 customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

You'll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You'll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.

This role is based in Paris. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and manage a pipeline of new business opportunities

• Lead our enterprise prospects' journeys from consideration to successful deployment

• Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan

• Support your customer accounts from initial engagement to successful deployment and through to renewal

• Partner with solutions and research engineering to build and execute complex customer programs and projects

• Own a revenue target

• Manage revenue forecasts

• Analyze key account metrics to create reports and provide insights to internal and external stakeholders

• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies

• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

• Support the recruitment and onboarding of other teammates

• Support the development of company culture

We're seeking someone with experience including:

• 7+ years selling and renewing platform-as-a-service and/or software-as-a-service

• Designing and executing complex deal strategies

• Supporting the growth of fast-growing, high-performance companies

• Working directly with c-level executives

• Communicating technical concepts to customers and internal stakeholders

• Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

• Languages: Fluent English & Hebrew preferred but not essential.

You might thrive in this role if you:

• Are customer-centric. You are motivated to deeply understand your customer's priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

• Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You're excited to educate our customers on AI and how to plan for the future.

• Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.

• Are excited by new challenges. You don't have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You're willing to experiment with new solutions.

• Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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About the role...

We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring.

On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.

You will...

• Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.

• Contribute to the development and training of a variety of machine learning models, including large-scale neural networks.

• Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.

• Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group.

• Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.

• Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects.

• Mentor team members, providing guidance and support in their professional development.

• Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

You have...

• Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.

• Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.

• Strong background in training and fine-tuning large models in an applied setting.

• Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.

• Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.

• Technical depth sufficient to guide architecture and implementation trade-offs, evolve quality standards, and mentor engineers on best practices.

• Deep understanding of machine learning concepts, frameworks, and best practices.

The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!

Salary Range: $220,800-$331,200 USD

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About the role...

We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring.

On the Language Learning team, we're building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.

You will...

Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.

Contribute to the development and training of a variety of machine learning models, including large-scale neural networks.

Collaborate with cross-functional teams to understand their needs, to align the models' outputs with company objectives.

Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group.

Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.

Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects.

Mentor team members, providing guidance and support in their professional development.

Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

You have...

Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.

Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.

Strong background in training and fine-tuning large models in an applied setting.

Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.

Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.

Technical depth sufficient to guide architecture and implementation trade-offs, evolve quality standards, and mentor engineers on best practices.

Deep understanding of machine learning concepts, frameworks, and best practices.

The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!

Salary Range: $220,800-$331,200 USD

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Responsibilities:

• Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders
• Coordinate high volumes of virtual and in-person interviews by navigating complex scheduling scenarios across multiple stakeholders
• Serve as the primary point of contact for candidates, managing timely, professional, and friendly communication (written and verbal) to ensure candidates feel supported throughout their journey
• Handle candidate travel arrangements and expenses for in-person interviewing
• Executing other post-interviewing tasks such as scheduling debriefs and reference checks, and generating offer letters
• Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs

What we're looking for:

• Effective communication and prioritization skills
• The ability to thrive in a fast-paced environment with evolving needs
• Collaborative mindset and openness to feedback
• Proactive approach to resolving ambiguous challenges
• A track record of high accuracy and attention to detail
• An interest in technology and artificial intelligence

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Responsibilities:

• Lead the development and implementation of technical solutions for our clients
• Design and implement data pipelines, data lakes, and cloud infrastructure
• Collaborate with our engineering team to ensure that our solutions meet the highest standards of quality and performance
• Participate in the design and implementation of new features and products
• Work closely with our clients to understand their needs and requirements
• Develop and maintain technical documentation and knowledge base

Requirements:

• 6 years of experience in a similar role
• Strong understanding of data engineering and cloud computing concepts
• Experience with Python, SQL, and cloud platforms such as GCP, Azure, or AWS
• Strong communication and collaboration skills
• Ability to work in a fast-paced environment and prioritize tasks effectively
• Strong problem-solving skills and attention to detail

Nice to have:

• Experience with data warehousing and business intelligence tools
• Knowledge of machine learning and artificial intelligence concepts
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with Agile development methodologies

We offer:

• Competitive salary and benefits package
• Opportunity to work with a talented team of engineers and developers
• Collaborative and dynamic work environment
• Professional development opportunities
• Flexible working hours and remote work options
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

If you are a motivated and experienced engineer looking for a new challenge, please submit your application. We look forward to hearing from you!

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NVIDIA is synonymous with innovation, boasting trailblazers who are shaping the world with their forward-thinking approaches. This is your chance to be part of a vibrant community that's redefining the technological landscape. Ready to shape the future of automotive technology with NVIDIA? Apply now to be part of a team that's revolutionizing the industry and driving innovation to new heights. Your potential awaits!

What you’ll be doing:

Manage the software creation and delivery of NVIDIA’s DRIVE OS, AVOS and NDAS programs in the long term support phase, specially all NDAS customer programs which are entering mass production with Orin SoCs.

Track all known technical issues (bugs) reported on the ongoing engineering programs as well as field returns. Coordinate the root cause analysis behind the issues.

Track bug fixes, feature improvements, safety and security patches that need to be rolled out for all customer programs. Prioritize fixes across upcoming releases, track testing and validation and ensure on-time completion of all product release requirements (incl. safety certification and all relevant documentation).

Align with NDAS, AVOS and DriveOS product management teams to establish a long-term (12+ months) release and feature plan for each of the main SW components.

Coordinate with cross functional teams in India, Europe, U.S. and South Korea to resolve program issues and drive product launches.

Support customer teams in the planning and introduction of new SW releases for each customer program.

Act as the first point of contact and first level of escalation for our customer programs and internal senior leadership, providing regular updates and bringing management focus on important issues.

What we need to see:

General knowledge about Artificial Intelligence, LLMs, Transformers, CPU/GPU architectures, etc.

General knowledge of program management concepts (task planning, agile methodologies, risk management, etc.)

Degree from a leading university or equivalent experience in an engineering or computer science related field (BS; MS or PhD).

6+ years of work experience in automotive software development. Preferably on ADAS and AV.

Understanding of autonomous vehicle systems, sensor technologies, vehicle bus communication standards, SoCs and embedded software principles.

General knowledge of C/C++/Python, QNX and/or Linux OS.

Understanding of build pipelines, repositories, CI/CD, containerization, etc.

Proven experience of having led complex automotive programs to series production.

Excellent communication and organization skills, good time management, and task prioritization.

Ways to stand out from the crowd:

Experience with Automotive SPICE, ISO26262, 21448 standards.

Hands on experience developing complex embedded C++ based systems.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and proactive, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.

• X
• Facebook
• Glassdoor
• LinkedIn
• YouTube

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We are looking for a software engineer intern with a strong passion in the self-driving car industry and interests/experiences in mapping, machine learning, and 3D data visualization. NVIDIA plays a meaningful role in the AI and Autonomous Vehicles industry through significant investments in the DRIVE platform and a robust ecosystem of partners.

What You'll Be Doing:

• Work closely with senior engineers and learn about the tech stack to build high quality, high definition maps in a scalable way.
• Build automation algorithms, data pipelines and visualization tools to improve map building quality/efficiency and support new mapping features.
• Explore exciting new ideas to combine SOTA generative AI technologies and our rich mapping dataset to tackle hard problems in map building, map QA and simulation.
• Engage with various map data consumers (perception, infra, simulation) in AV and Nvidia.

What We Need To See:

• Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related majors
• Excellent programming skills in Python, C++, or Java
• Previous experience or coursework in robotics, automotive, or artificial intelligence

Ways To Stand Out From The Crowd:

• Experience with cloud pipelines & infrastructure including Kubernetes, Docker, AWS
• Experience in AV related areas: Self-Driving Cars, Deep Learning, Computer Vision, SLAM, Sensor fusion, and/or GPU technology

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In this role, you will oversee the execution of ZoomInfo's Sarbanes-Oxley (SOX) Compliance Testing Program, providing objective assurance over the design and operating effectiveness of internal controls across both business process and IT domains.

You will lead and develop a team of internal audit professionals, providing direction, reviewing workpapers, and ensuring the audit plan is executed with quality and consistency.

This role offers meaningful exposure to US GAAP, SOX compliance, complex accounting areas, and the opportunity to work with automation and AI-driven tools.

The ideal candidate brings strong analytical and communication skills, a proactive approach to problem solving, and a desire to grow in a fast-paced, high-growth SaaS environment.

You will work closely with US-based teams and stakeholders, requiring a shifted schedule with availability until 12:00 PM PST to enable effective collaboration.

For driven and committed professionals, this role offers exceptional opportunities to grow and make an impact:

• Lead and shape the SOX audit program for a high-growth, global SaaS company - your work directly supports ZoomInfo's financial integrity and regulatory standing

• Build and mentor a team of internal audit professionals, fostering a culture of quality, accountability, and continuous improvement

• Gain hands-on experience with AI, automation, data analytics, and cloud-based audit tools in a technology-forward environment

• Develop deep expertise across business process controls, IT general controls, and emerging audit areas including operational and technology audits

• Collaborate with a supportive, cross-functional team that values innovation, transparency, and professional development

Key Responsibilities:

• Lead and manage a team of business process and IT internal audit professionals, providing day-to-day direction, coaching, and workpaper review to ensure audit quality and consistency

• Oversee the planning and execution of ZoomInfo's annual SOX compliance testing program, including scoping, risk assessment, control testing, and reporting

• Review and approve audit workpapers, ensuring documentation meets professional standards and supports audit conclusions

• Serve as a subject matter resource on SOX requirements, COSO framework, US GAAP, IT general controls (ITGCs), and application controls

• Coordinate with external auditors on testing reliance, sampling methodology, and audit timelines to support an efficient integrated audit

• Identify control deficiencies, assess their severity, and clearly articulate associated business risks and materiality to management

• Prepare and present audit findings and recommendations to senior management and key stakeholders in a clear and concise manner

• Partner with control owners and business process teams to support remediation efforts and monitor the progress of management action plans

• Conduct ongoing risk assessments to evaluate the impact of process changes, new business programs, and acquisitions on the internal control environment

• Leverage audit management technology (AuditBoard) and data analytics tools to drive efficiency and enhance audit quality

• Contribute to the continuous improvement of audit methodologies, processes, and tools, including the adoption of AI and automation capabilities

• Stay current on changes in the business, regulatory environment, and industry trends to assess impacts on ZoomInfo's risk and control profile

• Support the expansion of the Internal Audit function into broader audit areas over time, including operational audits and other emerging areas impacting ZoomInfo’s strategic goals

Required Qualifications:

• Bachelor's degree in Accounting, Finance, or a related field

• 7+ years of experience in internal audit, external audit, or SOX compliance within a global public company, Big 4 accounting firm, or equivalent corporate setting

• CA, CISA or equivalent certification in good standing

• Strong knowledge of Sarbanes-Oxley (SOX), the COSO framework, US GAAP, and relevant regulatory requirements

• Solid understanding of IT general controls (ITGCs), application controls, and how IT controls support financial reporting objectives

• Demonstrated experience leading audit engagements from planning through reporting, including workpaper review and team oversight

• Proven ability to identify and assess risks and controls across business process and IT domains

• Experience working with audit management technology; AuditBoard experience preferred

• Familiarity with cloud-based platforms, SaaS applications, databases, and middleware solutions in the context of IT audit and SOX compliance

• Strong experience with data analytics, automation tools, and AI-driven solutions as applied to internal audit

• Excellent written and verbal communication skills in English, with the ability to present findings clearly to senior stakeholders

• Strong analytical, critical thinking, and problem-solving skills with the ability to manage multiple priorities and meet deadlines

• Ability to work independently and collaboratively in a fast-paced, global environment

Preferred Qualifications:

• Experience with enterprise SaaS applications such as Salesforce, Workday, or SAP in an audit or controls context

• Hands-on experience with data visualization tools and advanced analytics techniques

• Familiarity with artificial intelligence and prompt engineering as applied to audit and risk management workflows

• Experience with agile audit methodologies or continuous auditing frameworks

• Prior experience managing or mentoring audit staff in a team leadership capacity

Why You'll Love This Role

For driven and committed professionals, this role offers exceptional opportunities to grow and make an impact:

• Lead and shape the SOX audit program for a high-growth, global SaaS company - your work directly supports ZoomInfo's financial integrity and regulatory standing

• Build and mentor a team of internal audit professionals, fostering a culture of quality, accountability, and continuous improvement

• Gain hands-on experience with AI, automation, data analytics, and cloud-based audit tools in a technology-forward environment

• Develop deep expertise across business process controls, IT general controls, and emerging audit areas including operational and technology audits

• Collaborate with a supportive, cross-functional team that values innovation, transparency, and professional development

Key Responsibilities

• Lead and manage a team of business process and IT internal audit professionals, providing day-to-day direction, coaching, and workpaper review to ensure audit quality and consistency

• Oversee the planning and execution of ZoomInfo's annual SOX compliance testing program, including scoping, risk assessment, control testing, and reporting

• Review and approve audit workpapers, ensuring documentation meets professional standards and supports audit conclusions

• Serve as a subject matter resource on SOX requirements, COSO framework, US GAAP, IT general controls (ITGCs), and application controls

• Coordinate with external auditors on testing reliance, sampling methodology, and audit timelines to support an efficient integrated audit

• Identify control deficiencies, assess their severity, and clearly articulate associated business risks and materiality to management

• Prepare and present audit findings and recommendations to senior management and key stakeholders in a clear and concise manner

• Partner with control owners and business process teams to support remediation efforts and monitor the progress of management action plans

• Conduct ongoing risk assessments to evaluate the impact of process changes, new business programs, and acquisitions on the internal control environment

• Leverage audit management technology (AuditBoard) and data analytics tools to drive efficiency and enhance audit quality

• Contribute to the continuous improvement of audit methodologies, processes, and tools, including the adoption of AI and automation capabilities

• Stay current on changes in the business, regulatory environment, and industry trends to assess impacts on ZoomInfo's risk and control profile

• Support the expansion of the Internal Audit function into broader audit areas over time, including operational audits and other emerging areas impacting ZoomInfo’s strategic goals

Required Qualifications

• Bachelor's degree in Accounting, Finance, or a related field

• 7+ years of experience in internal audit, external audit, or SOX compliance within a global public company, Big 4 accounting firm, or equivalent corporate setting

• CA, CISA or equivalent certification in good standing

• Strong knowledge of Sarbanes-Oxley (SOX), the COSO framework, US GAAP, and relevant regulatory requirements

• Solid understanding of IT general controls (ITGCs), application controls, and how IT controls support financial reporting objectives

• Demonstrated experience leading audit engagements from planning through reporting, including workpaper review and team oversight

• Proven ability to identify and assess risks and controls across business process and IT domains

• Experience working with audit management technology; AuditBoard experience preferred

• Familiarity with cloud-based platforms, SaaS applications, databases, and middleware solutions in the context of IT audit and SOX compliance

• Strong experience with data analytics, automation tools, and AI-driven solutions as applied to internal audit

• Excellent written and verbal communication skills in English, with the ability to present findings clearly to senior stakeholders

• Strong analytical, critical thinking, and problem-solving skills with the ability to manage multiple priorities and meet deadlines

• Ability to work independently and collaboratively in a fast-paced, global environment

Preferred Qualifications

• Experience with enterprise SaaS applications such as Salesforce, Workday, or SAP in an audit or controls context

• Hands-on experience with data visualization tools and advanced analytics techniques

• Familiarity with artificial intelligence and prompt engineering as applied to audit and risk management workflows

• Experience with agile audit methodologies or continuous auditing frameworks

• Prior experience managing or mentoring audit staff in a team leadership capacity

About us

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

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The ideal candidate will have experience harnessing IP as a competitive advantage; providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams.

Responsibilities:

• Oversee and strategically manage Scale's worldwide intellectual property portfolio.
• Develop and implement a comprehensive IP strategy that aligns with Scale's business objectives, ensuring the development and protection of high-quality intellectual property.
• Oversee invention sessions, invention disclosure selection, patent application drafting and filing, and patent prosecution.
• Be a subject matter expert–for both business partners and the Legal team–on US and global intellectual property laws.
• Work hands-on with business and product teams to ensure that intellectual property protection is embedded into Scale's products and processes by design and to implement best-in-class compliance.
• Develop creative solutions, in partnership with Legal and Product stakeholders, for how legal frameworks can support new products and customer experiences.
• Support the drafting and negotiation of commercial agreements at the cutting edge of intellectual property and AI.
• Help advance the General Counsel's and Product Legal team's strategic vision across the company.

Ideal Candidate:

• At least 8+ years of experience in-house and at a top law firm, ideally both managing at least a portion of an IP portfolio and product counselling.
• Ability to think strategically at a high-level and from deep in the details, in order to drive complex problem solving and develop creative, business-forward solutions.
• Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, business, and technical audiences.
• A roll-up-your-sleeves attitude to tackle projects large and small with a low-ego approach to collaborating across the organization.
• Deep interest in artificial intelligence, generative AI, and machine learning technology and applications.
• Excellent organisational and communication skills.
• JD and a member of the California in good standing.

Nice to Haves:

• Experience in preparing and prosecuting patent applications in artificial intelligence and machine learning technologies.

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Private medical insurance covering 100% of premiums for employees and their dependents

Pension plan with 4% employer contribution

52 weeks maternity leave and 20 weeks parental leave

Unlimited time off

Annual learning & development stipend (£1,200 per year)

As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities.

Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling.

Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach.

A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.

This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Design, prototype and scale up new architectures to improve model intelligence

Execute and analyze experiments autonomously and collaboratively

Study, debug, and optimize both model performance and computational performance

Contribute to training and inference infrastructure

Have experience landing contributions to major LLM training runs

Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion

Are motivated by safely deploying LLMs in the real world

Are well-versed in the state of the art transformer modifications for efficiency

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You will independently lead negotiations, advise on deal strategy, and work as part of a collaborative team supporting Databricks' data and AI business. The role is well-suited for an attorney who exercises strong judgment and translates legal complexity into clear, practical advice for business stakeholders.

Key responsibilities include:

• Leading complex commercial transactions from first engagement through signature, including drafting and negotiating SaaS MSAs and related security, privacy, and AI terms, as well as order forms, statements of work, and related transaction documents

• Partnering closely with Sales, Deal Desk, Finance, Security, Privacy, Product, and other stakeholders to resolve issues that affect deal execution

• Advising on issues that arise in enterprise technology transactions, including data privacy, information security, artificial intelligence, intellectual property, and open source software

• Helping improve templates, fallback positions, guidance, and contracting processes

• Providing concise, practical legal advice that balances legal risk with commercial objectives

We are looking for an attorney with 7+ years of relevant technology transactions experience at a law firm and/or in-house legal department. Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and cloud transactions with enterprise customers is required. Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, AI-related terms, intellectual property, and open source software is also necessary.

Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice is essential. Experience supporting cloud, infrastructure, platform, or other technology companies is a plus. Strong communication and prioritization skills, and the ability to manage multiple matters effectively are also required.

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As AI reshapes how people search for and discover information, you'll also help define our strategy for emerging search experiences like AI Overviews and answer engines. This role is ideal for someone who thrives in fast-moving, technically complex environments , and who is energized by the opportunity to build foundational SEO infrastructure at a company whose products are at the forefront of AI.

Responsibilities:

Technical SEO Strategy & Infrastructure

• Own technical SEO strategy and execution across all Anthropic web properties

• Implement and maintain sitemaps, structured data (JSON-LD), canonical tags, redirect strategies, and robots.txt across multiple domains

• Optimise site speed, mobile performance, and Core Web Vitals across documentation and marketing properties

• Monitor crawl efficiency, indexing status, and search performance using Google Search Console and log file analysis

• Establish SEO observability and monitoring infrastructure with automated alerting for technical issues

• Develop and maintain the SEO playbook for international expansion, including hreflang implementation and localized content optimisation

Documentation & Content Optimisation

• Build and own the content roadmap , spanning developers, enterprise decision-makers, and prosumers , to support organic discovery of our core products by partnering with product marketing, developer relations, education teams, and more

• Audit and optimise documentation search rankings and information architecture for developer-focused content

• Partner with engineering teams on documentation platform configuration and optimisation

• Build SEO best practices directly into content management and documentation workflows

• Optimise content structure and markup for AI Overviews and other LLM-powered search experiences

Analytics, Experimentation & Performance

• Build and maintain dashboards (Google Analytics 4, BigQuery, Hex) to track search visibility, rankings, and organic traffic

• Conduct regular technical audits using tools like Screaming Frog, Ahrefs, SEMrush, and Google Search Console

• Design, execute, and analyse A/B and multivariate experiments across key conversion flows (signup, onboarding, upgrade) using experimentation platforms like Statsig

• Define experiment hypotheses, ensure statistical rigor in test design and analysis, and translate results into actionable recommendations

• Monitor and analyse performance in AI-powered search environments, including AI Overviews and other answer engines

Cross-functional partnership

• Collaborate with engineering teams on platform implementation, CDN configuration, and web infrastructure decisions

• Partner with content and product marketing teams on information architecture, content strategy, and messaging optimisation for search intent

• Coordinate with data science and analytics on measurement, reporting, and user behaviour insights

• Present SEO performance, experiment results, and strategic recommendations to leadership and cross-functional stakeholders

You may be a good fit if you:

• Have 8+ years of technical SEO experience, ideally at a developer tools, SaaS, or technical product company

• Have deep understanding of how search engines crawl, render, and index JavaScript-heavy sites and static site generators

• Have expertise in complex technical SEO challenges: site migrations, canonicalisation, redirect strategies, and duplicate content resolution

• Have strong knowledge of HTTP status codes, CDN configuration, DNS, and web infrastructure

• Are proficient with HTML and CSS, with the ability to review code for SEO issues

• Have hands-on experience with SEO tools (Screaming Frog, Ahrefs, SEMrush) and Google Search Console, including log file analysis and crawl budget optimisation

• Have experience optimising documentation sites and technical content for developer audiences

• Take a data-driven approach to identifying and prioritising SEO opportunities using analytics and crawl data

• Have experience running controlled experiments on websites, with a solid understanding of statistical significance, sample sizing, and test design

• Have strong project management skills and can manage multiple technical initiatives simultaneously

• Communicate effectively and can influence cross-functional stakeholders, including engineering teams

• Are excited about Anthropic's mission to develop AI that is safe, beneficial, and steerable

Strong candidates may also have:

• Experience with documentation platforms (Mintlify, Docusaurus, GitBook, ReadMe)

• Familiarity with JavaScript frameworks and modern web development stacks

• Experience with Cloudflare CDN configuration and optimisation

• Knowledge of Segment, BigQuery, Google Analytics 4, Hex, or similar data infrastructure

• Experience with schema markup and structured data implementation (JSON-LD)

• Background in B2B SaaS, developer tools, or AI/ML products

• Understanding of developer search behaviour and technical content discovery patterns

• Experience with international SEO and multilingual content optimisation

• Experience scaling SEO programmes , establishing processes, building infrastructure, and enabling teams

• Understanding of Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) strategies for LLM-powered search

• Experience optimising content for AI Overviews, featured snippets, and entity-based search results

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As a TPM, you will play a crucial role in tackling complexity and delivering predictable, consistent, and impactful results. You will lead complex projects/programs that touch multiple product surfaces, services, functions and teams, and hence are required to keep the big picture in focus while being able to dive into the details, working through unique challenges.

Success in this role requires a strong sense of ownership, coupled with the ability to think critically and strategically while managing relationships with cross-functional stakeholders.

Responsibilities:

• Lead planning, execution, and delivery of large cross-functional initiatives aimed at meeting key business priorities.
• Balance broad, outcome-driven thinking with attention to critical details, exercising sound judgment to prioritize where deep focus is necessary to ensure successful execution.
• Shape and influence the technical direction of projects, ensuring we meet stakeholder needs while maintaining high-quality standards.
• Define and secure stakeholder alignment on clear, measurable success criteria to accelerate initiatives.
• Regularly assess risks and opportunities, and devise proactive mitigation strategies to maintain momentum and project success.
• Maintain transparent and effective communication channels to keep stakeholders informed of progress, developments, and challenges.
• Expertly present outcomes and updates to senior leadership, clearly and comprehensively articulating trade-offs, risks, and emerging opportunities.

Requirements:

• 7+ years of experience in the software development industry, with at least 5 years as a TPM or relevant experience.
• B.S. in Computer Science or a related technical discipline, or equivalent experience.
• Demonstrated ability to work calmly through ambiguity to detailed solutions.
• Self-motivated, proactive and ability to adapt well and work with teams having different operating cadences.
• Proven track record of influencing others in combination with strong analytical skills and allowing others to give feedback while understanding their viewpoints.
• Experience developing processes where little exists and demonstrated flexibility to get things done.
• Detail-oriented with the ability to understand the bigger picture by using your technical expertise and problem solving abilities to prioritize and manage blocking issues.
• Experience working in a highly cross-functional environment where communication with multiple groups is imperative.
• Excellent written and oral business communication and people skills, with the ability to influence stakeholders.
• Exhibit knowledge of Asana, Jira, or other equivalent task management tooling.

Nice to have:

• Experience developing or working directly on various aspects of large-scale ML/AI platforms.
• Experience with feature development of AI-powered product experiences.
• Experience and passion for building and maintaining products leveraging AI models

XML job scraping automation by YubHub

You will act as an authoritative trusted advisor and technical customer advocate within Cloudflare, working closely with Account Executives, Product Management, Engineering, and Customer Success. Your mission is to find best-fit architectures for high-value prospects, guide major enterprises to their 'time to first value,' and design custom validation approaches for unvalidated complex scenarios.

You will work closely with our Enterprise prospects and customers to educate, empower, and ensure their success on the Cloudflare platform.

Responsibilities:

• Technical Validation & Custom Architecture: Define technical success criteria collaboratively with customers and align technical validation activities directly to customer outcomes.

• Technical Strategic Ownership: Take lead on the technical partnership with your accounts, maintaining deep proficiency in Cloudflare's portfolio to effectively communicate our strategic value within high-complexity enterprise initiatives.

• Business Generation & Expansion: Run thorough technical discovery and qualification of prospect and customer use cases using solution selling methodologies (e.g., MEDDPICC and BANT). Lead tailored product demonstrations and proofs-of-concept (PoCs) to secure the technical win.

• Enterprise Account Planning & Deal Execution: Actively participate in account planning, stakeholder mapping, and multi-product roadmap development to expand footprint and drive upsell velocity in enterprise accounts. Maintain a strong presence in opportunity reviews and pipeline management (Salesforce).

• Customer Advisory & Strategic Guidance: Partner with existing clients as a dedicated account advisor, providing technical best practices on the implementation of Cloudflare products and strategic guidance on internet security, performance, and future-proofing architectures.

• Cross-Functional & Ecosystem Collaboration: Develop deep relationships across Sales, Product, Engineering, and Support to coordinate feature requests/escalations and deliver robust ecosystem integrations. Collaborate actively with external channel and alliance partners to expand territory footprint.

• Thought Leadership & Mentorship: Contribute to a high-performance team culture. Share internal content, deliver specialized internal demos, author training material or blog posts, and mentor fellow engineering team members.

Requirements:

• Professional Experience & Sales Methodology: Minimum 3+ years of experience in a customer-facing sales engineering, consulting, or systems engineering role within enterprise segments. Knowledge in executing MEDDPICC validation and BANT qualifications.

• Expertise in Internet Technologies: Production-grade expertise across all layers of the OSI Model, explicitly covering BGP routing protocols, GRE tunneling, TCP/UDP transport mechanics, authoritative and recursive DNS structures, HTTP(S) delivery, and SSL/TLS cryptographic handshakes.

• Solutions & Network Architecture: Deep technical knowledge of cloud security and performance portfolios. Proven experience with multi-cloud/hybrid environments (AWS, GCP, Azure), reverse-proxy topologies, SASE/SSE frameworks, Zero-Trust network access (ZTNA), secure web gateways (SWG), CASB, DLP, and L3/L4/L7 DDoS mitigation architectures.

• Programmability & Scripting: Demonstrated proficiency with a scripting or programming language (e.g., Python, JavaScript, Bash, Lua, Go) to build custom edge logic, utilize RESTful APIs, or manage Infrastructure-as-Code (IaC) via tools like the Cloudflare Terraform provider.

• Executive Presence & Relationship Building: Polished communication and high emotional intelligence (EQ) with a proven track record of building long-term, trusted-advisor relationships from front-end developers up to senior C-level executives (CIOs, CISOs, CTOs).

• Project Management & Execution: Strong ownership to manage projects, meet deadlines, prioritize competing demands, and focus on both quality and execution efficiency.

• Artificial Intelligence: Proficient in adoption and utilization of AI tools to leverage and expand role capabilities.

Preferred Qualifications:

• Hands-on Building: You've built full-stack web applications before, manipulated databases, or experimented with emerging generative AI security architectures.

• Technical Troubleshooting: You are comfortable working with command-line interfaces, analyzing HTTP requests/responses via browser web inspectors, and understanding the nuances of L3/L4 vs L7 protections.

• Security Deep Dive: Ability to describe web vulnerabilities (such as CSRF, XSS, and SQLi) in detail, and explain how Cloudflare's platform mitigates them.

• Education: An undergraduate or graduate degree in Computer Science, Engineering, or a related field.

• Bonus Points: Advanced certifications in networking, cloud architectures, or information security (e.g., Cloudflare certifications, CISSP, AWS/GCP Solutions Architect).

More About You:

• Communication Focus: You naturally lead with strong communication skills, focusing on the 'why' and the whole picture. You translate technical concepts into business outcomes for any audience.

• Continuous Growth: You want to be constantly learning new things and sharing those insights back to the broader organization to elevate the collective team capability.

Principled Execution: You focus on the long-term needs of the business and team, always considering the impact of your actions on others.

XML job scraping automation by YubHub

Design and deploy intelligent agent-based workflows that automate decision-making in physical design, including congestion management, timing closure, IR drop mitigation, and power density optimization.

Build machine learning models and data pipelines using Python and big data frameworks to analyze large-scale design datasets and extract actionable insights for design convergence.

Collaborate with customers and internal engineering teams to understand real-world design challenges at 5nm, 3nm, and future nodes, then translate those into scalable, production-ready AI-driven solutions.

Define and document best practices for AI-driven EDA methodologies, including agent architectures, skill definitions, and orchestration frameworks that can be reused across design teams.

Prototype and validate reinforcement learning or optimization algorithms applied to specific EDA problems like floorplanning, placement quality, or clock tree synthesis.

Work across the full physical design flow, from RTL to signoff, ensuring AI solutions are grounded in the realities of variability, EM, IR, DRC, and DFM constraints.

Enable design teams to close timing, power, and area targets faster by automating decisions that currently require days of manual iteration and expert judgment.

Reduce time to tapeout for advanced node designs by building intelligent workflows that predict and resolve congestion, IR issues, and variability challenges before they become blockers.

Define the next generation of Synopsys AI-powered design solutions that will be deployed across customer engagements globally, directly influencing how chips are designed at scale.

Accelerate adoption of machine learning in semiconductor design by creating frameworks and methodologies that make AI accessible to physical design engineers, not just data scientists.

Improve design quality and yield by surfacing patterns in large datasets that human analysis would miss, translating data into design decisions that matter.

Shape the roadmap for AI integration in Synopsys EDA tools by working closely with product and R&D teams to identify high-impact use cases and validate technical feasibility.

Help customers at the leading edge of semiconductor technology solve problems that have no established playbook, becoming a trusted technical partner in their most critical programs.

XML job scraping automation by YubHub

This is a unique opportunity to contribute directly to our financial strategy and enhance our financial planning and analysis (FP&A) capabilities. Reporting to the Senior Manager of Strategic Finance and Corporate FP&A, you'll provide critical financial insights that help inform executive decision-making and strategic planning.

Financial Modeling: You will contribute to the development and maintenance of our core financial models and cash flow forecasts.

Strategic Projects: You will provide valuable analysis and support on high-impact projects, from capital markets initiatives to fundraising strategies, working directly with the CFO and other leaders.

Reporting: You will assist in the creation of comprehensive reports and narratives for our executives and Board of Directors, including monthly, quarterly, and annual planning documents.

Collaboration: You will work closely with teams across the company, including FP&A and Accounting, to ensure seamless reporting and analysis.

KPIs: You will help track and refine our key performance indicators, reporting on our progress toward strategic goals.

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love to solve complicated problems with data, build new tools to drive action and have real impact.
• You’re curious about artificial intelligence and data center infrastructure.
• You’re an expert in financial modeling and influencing business partners.

Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

XML job scraping automation by YubHub

The CSP Machine Learning team develops and enhances various AI models, ML services, and tools, including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for a wide range of applications in Airbnb.

As a Senior Machine Learning Engineer, you will:

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
• Learn and share the latest AI/ML technologies with the team across regions (China and the US)

To be successful in this role, you will need:

• A PhD/Master's degree in Computer Science or equivalent experience
• 4+ years of ML engineering experience, with ownership responsibility over large-scale software systems
• Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM-driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product, and design organizations
• Fluency in both English and Mandarin is essential

At Airbnb, we are committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

XML job scraping automation by YubHub

We're looking for an experienced sales professional to join our AI team as an Account Executive, AI Sales (Grower). As a key member of our GTM/Sales organization, you will work closely with Product, Engineering, and Marketing to shape Stripe's AI GTM strategy and ensure that the world's leading AI companies choose Stripe as their monetization platform.

Responsibilities

• Work with existing Stripe customers in the AI industry to develop and execute long-term sales strategies to expand Stripe's revenue
• Own the full sales cycle, from business case development, to deal structuring and negotiating, to close
• Develop account plans and cross-sell into your list of strategic AI customers, driving growth through expansion and new revenue streams
• Drive deal strategy and commercial negotiations for large, complex renewals
• Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions
• Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship
• Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture

Requirements

• 6+ years of sales experience, preferably selling a technical product, with a track record of top performance
• 2+ years leading complex sales cycles with Enterprise organizations required
• Ability to understand technical requirements and craft solutions across multiple products
• Ability to develop and execute account plans spanning multiple business units across complex organizations
• A knack for working well with a wide range of people, both internally and externally
• Strong presentation skills, particularly for in-person meetings with multiple stakeholders
• Proven ability to lead complex negotiations involving bespoke commercial agreements
• Superior verbal and written communication skills
• Ability to operate in a highly ambiguous and fast-paced environment
• Strong interest in technology and a deep understanding of the space

Benefits

• Competitive salary and bonus structure
• Comprehensive health insurance
• Flexible PTO policy
• Professional development opportunities
• Collaborative and dynamic work environment

How to Apply

If you're a motivated and experienced sales professional looking to join a cutting-edge company, please submit your application, including your resume and a cover letter, to [insert contact email or link]. We can't wait to hear from you!

XML job scraping automation by YubHub

Key Responsibilities:

• Initiative and bring-up wafer sort ATE program during new product introduction, and ramp up for mass production.
• New probing technology and methodology deployment, including machine learning for artificial intelligence models, high-bandwidth test fixtures for 3D IC support.
• Engage in on-site work with team collaboration, communication, and drive the ATE/probing HW vendor/supplier on the right strategy to improve performance, quality, and reliability.
• Build up statistical tools or perform data analysis for gap and root cause analysis.
• Build up statistical widgets or perform data analysis for gap analysis and problem-solving.
• Create productivity script tools for test automation, machine learning, and production efficiency.
• Support inline debugging and troubleshooting for the resolution of production line issues.

Requirements:

• Bachelor's degree or equivalent experience in EE or CS-related fields.
• 5 years or above of Advantest 93K (or Teradyne Uflex) experience at test houses, ATE vendors, either written wafer sort programs or production sustaining.
• Knowledge of compute languages in either C++/C or VB, Perl, Python is preferred.
• Good command of oral and written English.
• Good communication skills in collaboration team work.

XML job scraping automation by YubHub

Key Responsibilities:

Transform our Service Supply Chain operating model to become predictive and proactive driving increased levels of customer satisfaction.

Accelerate our ability to drive solutions that scale in warehouse operations and logistics through deep domain knowledge and expertise.

Drive standardization and improvement in our business processes, systems, and tools to enable operational efficiency, visibility, and prompt business decisions

Optimize the integration between repair services and logistics, ensuring the supply chain architecture supports seamless service delivery and manufacturing efficiency.

Conduct deep-dive process mapping to identify 'ground-level' inefficiencies in logistics and repair; Translate these findings into AI-driven use cases like predictive sparing, automated routing, or defect trend analysis.

Lead development of business requirements and collaborate to drive technical design and deployment of Warehouse Management Systems (WMS) and Transportation Management Systems (TMS); You will ensure these systems are optimized for high-volume repair parts, serialized inventory tracking, and global freight movements.

Define the business rules and process standards that will govern our B2B integrations; You will define _what_ data must be exchanged with 3PLs , repair partners and CMs to maintain process integrity, ensuring that outsourced partners operate as a seamless extension of our internal team.

Act as the functional transformation business lead for reverse logistics, warehouse, and repair operations, defining the service-level requirements and technical handshakes necessary for vendors to execute repair and distribution workflows.

Mature our business operating model across our global partner ecosystem through innovation and industry best solutions aimed at operational efficiency, speed, and scale. Assist in logistics, repairs and service partner selection and new site onboarding. Develop and mature how we track and measure our success via level 1-3 KPIs.

Requirements:

BA or BS in Engineering, Operations, or Supply Chain (or equivalent experience)

Domain Expertise: 12+ years of experience in Service Supply Chain, Logistics, or Manufacturing, including hands-on operations experience managing business process and technology.

Skills in managing logistics, repair, refurbishment, or production environments.

Data-driven decision maker with excellent problem-solving, communication, and supply partner management skills.

Deep understanding of business architecture principles and experience in enterprise tool selection (e.g., ERP, WMS, TMS, B2B Integrations, Data Platforms).

Proven experience managing the technical and operational performance of Tier-1 3PLs and External Manufacturers.

Experience in enabling vendor and site supply chain ecosystem, from capability enablement, site bring up and large-scale transformation across the globe.

Proven track record of migrating manual supply chain processes to automated scalable digital solutions, the ability to navigate high-pressure disruptions and provide executive-level resolution for complex supply chain bottlenecks.

Hands-on knowledge of ERP systems and data platforms and integration methodologies to eliminate manual workflows.

Expertise in creating transparent supply chains that track products from raw materials to final delivery, and the ability to architect data products and use analytics to optimize inventory, global warehouse distribution, manufacturing and transportation strategies.

Preferred Qualifications:

Demonstrated ability to optimally guide and influence within a multifaceted matrixed environment.

Develop algorithms and models for supply chain optimization.

Direct experience implementing or managing enterprise-grade supply chain software (e.g., SAP S/4HANA, Oracle SCM, Blue Yonder, Infor or specialized AI/ML platforms).

Demonstrated ability to deploy systems integration parallelly across operations and partner sites worldwide.

Hands-on experience evaluating emerging technologies for operational readiness and short- and long-term business fit.

XML job scraping automation by YubHub

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities: Develop deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction. Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact. Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline. Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection. Guide and mentor junior team members in developing new technologies that translate into production-ready solutions. Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them.

XML job scraping automation by YubHub

In this role, you'll help bring some of OpenAI's most visible moments to life , from developer events and global launches to product-driven experiences, enterprise events, and entirely new formats we haven't invented yet. You'll partner closely with teams across product, marketing, research, and leadership to translate big ideas into real-world productions that feel seamless, thoughtful, and distinctly OpenAI.

As a Producer, you'll own the full production lifecycle , shaping concepts, building plans, managing vendors and partners, running timelines, and ensuring every detail lands with precision. This role sits at the intersection of creativity and operational excellence: equal parts builder, problem-solver, and calm presence when the stakes are high.

Our team takes pride in craft, notices the small things others miss, and moves fast without sacrificing quality. The ideal candidate brings a proven track record of managing budgets over $500k, a strong working knowledge of full-stack event audio visual elements, and a hunger and desire to keep on top of the latest cutting-edge event technology.

You'll be responsible for managing stage productions, collaborating on event execution strategies, supporting creative production, sourcing and negotiating vendors, overseeing risk management and contingency planning, tracking budgets and financials, and coordinating project management.

If you have 4 years of experience in production / stage management, event production, agency event management / production, or similar roles, find deep value in bringing your whole self to work, celebrate differences in perspectives, and prioritize bringing joy to the front of your projects, then you might thrive in this role.

XML job scraping automation by YubHub

As an Applied Scientist on Bing Places, you will work on challenging problems that require deep technical expertise and a strong focus on real-world impact. You will work end-to-end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents.

Responsibilities:

• Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
• Design, implement, and evaluate ML- and LLM-based models that improve Bing Places quality, relevance, and coverage
• Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
• Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
• Own experimentation pipelines, including offline validation and large-scale online A/B flighting
• Partner closely with engineers to integrate models into production systems and ensure long-term reliability and performance
• Drive technical direction within your problem space and influence broader modeling and platform decisions
• Document and communicate results through technical design reviews, papers, and patent filings

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience

XML job scraping automation by YubHub

This role is for a senior product leader with a strong track record of building customer-facing product experiences that reduce friction, improve activation and retention, and help customers succeed through clear guidance, intelligent assistance, streamlined workflows, and scalable support.

We aim to bring together product, data, and automation to help SMB customers navigate setup, onboarding, troubleshooting, and ongoing account growth with greater confidence and less effort.

In this role, you will own the vision, strategy, and roadmap for key onboarding and support experiences across the product.

Responsibilities:

Product Vision & Strategy

Own the long-term vision and roadmap for SMB onboarding and support experiences, defining how the product helps customers successfully set up, activate, troubleshoot, and grow.

Customer Advocacy

Deeply understand SMB customer pain points across onboarding, activation, support, and early lifecycle journeys, and translate those needs into scalable product capabilities that reduce friction and improve customer outcomes.

Execution & Decision-Making

Navigate high ambiguity, make clear prioritization and tradeoff decisions, and drive execution across multiple engineering and product teams in a fast-moving AI environment.

Data & AI Collaboration

Partner with Data Science and analytics teams to identify customer pain points, measure experience quality, and drive continuous improvement in activation, support effectiveness, and retention.

Cross-Functional Alignment

Work closely with Sales, Support, Marketing, Legal, Policy, and other partner teams to ensure onboarding and support experiences are useful, compliant, trustworthy, and ready for broad customer adoption.

Go-to-Market & Adoption

Lead launch and iteration strategy for onboarding and support improvements, ensuring they drive measurable gains in customer activation, satisfaction, retention, and long-term value.

Platform & Ecosystem

Influence Help shape Microsoft Advertising’s broader approach to customer onboarding, assistance, and support by defining patterns, best practices, and scalable experience principles across the product.

Qualifications:

Required Qualifications:

Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

Preferred Qualifications:

Bachelor’s Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.

5+ years’ experience in developing digital advertising products.

#MicrosoftAI

XML job scraping automation by YubHub

As a Senior Solutions Architect, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic technology customers. You will work with Cloud Providers and Hyperscalers to develop, build and deploy compute and networking solutions based on NVIDIA's groundbreaking AI infrastructure hardware.

Key responsibilities include:

• Working with customers on Proof of Concepts (POCs) for AI solutions to address critical business needs
• Conducting regular technical customer meetings for introduction to new technologies and products, feature discussions, workshops, and performance debugging sessions
• Providing recommendations to business and engineering teams on product strategy

Requirements include:

• Bachelor's degree in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
• 8+ years of Solutions Architect or similar technical pre-sales roles
• Strong sense of achievement, customer-oriented demeanor, and skills to drive technical pre-sales activities
• Practical knowledge of sophisticated networking for AI data centers, including GPUs, CPUs, InfiniBand, and Ethernet fabric topologies, PCIe, host networking, and switches
• Experience with end-to-end compute and network performance debugging - hosts, switches, and optics

Preferred qualifications include:

• External customer-facing skills and background
• Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs, switches, and GPUs
• Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs, and GPUs
• Large-scale GPU infrastructure deployments
• Experience designing and debugging at a rack scale

NVIDIA is widely considered to be one of the technology world's best places to work. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

You will also be eligible for equity and benefits.

XML job scraping automation by YubHub

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for a Staff Technical Program Manager to join our team and help us achieve this mission.

As a Staff Technical Program Manager, you will be responsible for leading cross-engineering special projects and identifying, scoping, championing, and landing key strategic projects important to advancing Pinterest's platform and underpinning.

You will lead strategic ML/AI platform programs, identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI platform, GenAI infrastructure, and Agent Platform.

You will operate with an AI-first execution mindset, using GenAI as the default operating model for program execution. You will produce AI-assisted first drafts of core program artifacts, modernize high-toil workflows, and synthesize signals to proactively surface risks, tradeoffs, and escalation paths.

You will prototype AI-augmented tools and workflows, leveraging AI coding assistants to build lightweight solutions that improve decision-making and reduce friction. You will use a 'vibe coding' approach to move fast and validate value early.

You will apply safety-by-design AI governance, following Pinterest's AI guidance for risk, governance, and compliance. You will handle sensitive data, validate AI-generated outputs, document assumptions and limitations, and ensure AI-assisted workflows meet applicable policy and safety expectations before broad adoption.

You will drive complex technical decisions across teams, partnering closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads. You will proactively identify, frame, and resolve complex cross-team technical decisions, sequencing risky elements to fail fast and reduce downstream program exposure.

You will translate strategy into execution, converting strategic platform priorities into structured, milestone-driven execution plans. You will operate at both breadth (big picture vision) and depth (driving granular details with engineering teams) to ensure nothing falls through the cracks.

You will shape planning and influence roadmaps, serving as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles. You will influence product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.

You will build scalable processes and best practices, defining, institutionalizing, and continuously improving program management processes, frameworks, and tooling. You will elevate organizational execution capability and enable teams to operate with greater agility, consistency, and efficiency at scale.

You will drive cross-functional alignment and communication, building transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal. You will ensure stakeholders at all levels, from ICs to executives, have timely, accurate visibility into priorities, status, risks, and decisions.

You will own program outcomes end-to-end, taking full accountability for the success of high-impact programs. You will ensure measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through. You will represent program interests at the highest levels of the organization.

What we're looking for:

• Experienced Technical Program Manager with 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.

• AI-first execution mindset, demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.

• Workflow design and AI fluency, experience turning repeatable program work into durable, low-toil mechanisms.

• Safety-by-design AI governance, comfortable operating within AI governance expectations.

• ML/AI and systems domain knowledge, working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.

• Strategic vision and entrepreneurial leadership, strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.

• Executive influence and thought leadership, demonstrated success influencing senior and executive leadership, representing program interests at the highest levels.

• Analytical problem-solving and risk mitigation, strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.

• Operational excellence at scale, demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.

• Exceptional communication and collaboration, outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

XML job scraping automation by YubHub

As a Principal Software Engineer, you will:

• Drive the improvement of artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC).
• Proactively take responsibility for the content of your AI-generated requirements, design documents, code, and other assets, assisting the rest of the team to do the same.
• Incorporate Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets.
• Experiment with AI tools and practices to improve your own capabilities, and provide recommendations on how to adopt them to the rest of the team.

We're looking for someone with a strong background in software engineering, particularly in distributed systems, and experience with AI tools and practices. You should be able to work independently and collaboratively as part of a team, and have excellent communication and problem-solving skills.

If you're passionate about building large-scale distributed systems and want to join a team that's pushing the boundaries of AI innovation, we'd love to hear from you!

XML job scraping automation by YubHub

Your primary responsibilities will include developing a deep understanding of datacenter workloads and applications, particularly around Large Language Models, for training and inference. You will identify opportunities where NVIDIA can uniquely address customer needs and translate these into compelling GPU value propositions and product proposals.

You will work closely with cross-functional teams, including partners, engineering, operations, and field teams, to develop comprehensive product go-to-market plans and product positioning. Additionally, you will collaborate with the sales organization to develop effective sales collateral and tools.

To succeed in this role, you will need to have a strong track record in technology and a deep understanding of GPU, software, and computing architectures. You should be able to explain complex technical concepts and make sophisticated trade-offs.

Direct experience in developing or deploying large-scale GPU-based AI applications, such as Large Language Models, for training and inference is highly valued. A strong background in building or leading cloud computing infrastructure and technologies is also desirable.

In return for your expertise, NVIDIA offers highly competitive salaries and a comprehensive benefits package. You will also be eligible for equity and benefits.

XML job scraping automation by YubHub

Key Responsibilities

• Design and implement compliance-conformant Python applications and automate complex end-to-end business processes using Python, SQL, and the Microsoft Power Platform.
• Develop forward-looking, automated Power BI dashboards to transform extensive data into informed strategic decision-making grounds.
• Identify inefficiencies in existing operational workflows and design projects to sustainably improve data quality and process efficiency in close collaboration with departments.
• Provide strategic advice to the Operations department on digital infrastructure and act as a central point of contact for stakeholders on BI solutions and data visualization.
• Optimize strategically decisive reporting through the application of innovative technologies, including artificial intelligence (AI).

Requirements

• Bachelor's degree in a relevant field such as computer science, mathematics, or economics.
• Experience in software development with Python and strong knowledge of SQL and the Microsoft Power Platform (Power BI, Power Automate, Power Apps).
• Relevant experience in process automation and data analysis, preferably in the context of CSC processes.
• Strong analytical skills, ability to analyze processes, and competence to present complex issues in a clear and understandable manner.
• High level of initiative, result orientation, and ability to drive and implement change.
• Excellent MS Office skills.
• Excellent German and English language skills in writing and speaking.

What we offer

• Innovative work environment in a global company
• International cooperation and challenging tasks
• Flexible working models and development opportunities
• Culture of diversity and equal opportunities

Ford is committed to diversity and equal opportunities for all and opposes any form of discrimination or harassment based on gender, marital status, partnership, parental status, ethnic origin, skin color, nationality, national origin, disability, sexual orientation, religion/worldview, gender reassignment, and age.

#LI-Hybrid #LI-NG3 #FordCredit

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In this role, you will provide coaching and guiding directly or indirectly to engineering teams by giving clear technical direction, feedback and timely suggestions to ensure a high-quality standard of deliverables according to HSBC standards and best practices.

You will also provide technical leadership across the end-to-end delivery and run lifecycle, utilising your skills and expertise to carry out software development, testing and operational support activities typically being deployed to resolve the most challenging and/or impactful projects or deliveries.

End to end accountability for a product or service, identifying and developing the most appropriate Technology solutions to meet customer needs as part of the Customer Journey.

Establish a digital environment and automate processes to minimize variation and ensure predictable high-quality code and data. Create technical test plans and records, including unit and integration tests to drive fully automated test execution.

Provide support to DevOps teams working at all stages of a product or service release/change with a strong customer focus and end to end journeys, ensuring they have an excellent domain knowledge.

Working with Ops, Dev and Test Engineers to ensure operational issues (performance, operator intervention, alerting, design defect related issues, etc.) are identified and addressed at all stages of a product or service release / change.

Provide support in identification and resolution of all incidents associated with the IT service, as directed by leadership of the DevOps team,

Ensure service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered.

Responsible for automating the continuous integration / continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement.

Work with industry groups/peers and vendors outside of HSBC to establish and maintain HSBC's involvement and influence in the engineering space.

Promote innovation and adoption of cutting-edge specialist technologies and practices with the domain and across HSBC

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Key responsibilities include structuring, drafting, and negotiating transaction documentation on non-dilutive financing transactions, acting as the primary legal point of contact for banking and financing counterparties, advising on financing structures for data center and compute infrastructure projects, and coordinating with external law firms on cross-border financing structures.

You will partner daily with the Finance team to ensure financing solutions are aligned with Mistral's capital strategy and operational needs, collaborate with M&A, Compute, and Business teams to support deal-specific financing structures, and provide practical, hands-on legal guidance that enables the business to move fast while limiting legal risks.

You will also build and maintain internal templates, precedents, and guidelines for financing documentation, support on ancillary legal topics as needed, and demonstrate a strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation.

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As AI transforms financial services, every institution is being forced to ask a hard question: what does model risk management (MRM) actually mean in this new era? ML has powered fraud detection and credit decisioning for years, but the scope and technology has changed dramatically. Generative models, autonomous agents, and real-time systems are creating risks that existing MRM frameworks were never designed to govern. No one has fully solved this yet.

We want to hire the person who will define what model governance looks like for AI/ML at Mercury. That means continuously building and enhancing the frameworks, not just inheriting them. You will own validation, monitoring, and governance of Mercury’s AI/ML model portfolio, but more than that, you will be a thought leader in an industry-wide conversation about how MRM must evolve in the context of AI.

Here are some of the things you will do:

• Model Governance & Monitoring Oversight - Maintain and enhance Mercury’s model governance framework, including inventory standards, documentation templates, validation standards, and issue management.
• Assess whether first-line monitoring efforts are effective, proportionate to model risk, and sufficient to keep models fit for purpose over time.
• Model Validation - Perform independent validation across predictive ML models, generative AI systems, and agentic workflows, covering data, assumptions, methodology, testing, and monitoring.
• Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, human oversight, and hallucination risk.
• Identify and document model limitations, failure modes, and emerging AI risks including drift, instability, fairness, and robustness concerns
• MRM Advisory - Serve as a trusted advisor to data scientists, engineers, product teams, and risk partners throughout the AI/ML lifecycle to provide practical guidance on model risk, governance expectations, and control design without slowing responsible innovation.
• Evaluate new AI use cases for regulatory implications, materiality, and governance requirements prior to deployment.
• Help shape Mercury’s responsible AI standards, including explainability, bias assessment, testing, human oversight, and documentation.
• AI Enablement for MRM - Develop and maintain AI-enabled automation tools to improve the speed, scale, and effectiveness of model governance and validation workflows.
• Modernize the MRM function to operate effectively in a fast-moving AI environment while maintaining strong governance standards.
• Culture and Advocacy - Champion MRM as a strategic enabler of safe and scalable AI/ML adoption, not simply a control function.
• Build model risk literacy across engineering, product, data science, compliance, and risk teams.

There are many paths that could lead you here. We think the strongest candidates will bring some combination of the following:

• Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, etc.) with 6-10 years of meaningful hands-on experience developing or validating AI/ML models and systems, ideally in financial services or fintech.
• Strong technical foundations in Python, SQL, and modern ML tooling (e.g. scikit-learn, XGBoost); familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks.
• Experience in evaluating and testing machine learning models (e.g. in fraud detection) and generative AI systems, including custom evals, red-teaming, or frameworks.
• Solid understanding of model risk governance principles and regulatory expectations (e.g. SR 11-7 / OCC 2011-12, SR 26-2).
• Deep appreciation of disciplined model governance and independent effective challenge.
• A healthy dose of skepticism combined with a constructive, solution-oriented approach.
• Comfort operating in ambiguity: capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how complex models and AI systems actually work, and making sound judgments even without a complete playbook or perfect documentation.
• High agency and adaptability: able to operate effectively in a fast-moving environment where priorities evolve quickly, new ad hoc problems emerge regularly, and role boundaries are intentionally broad.
• Exceptional attention to detail across documentation, code base, testing artifacts and quantitative analysis.
• Strong written and verbal communication skills; you can explain model risk to a data scientist and to a regulator, and use different language for each.

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following:

• US employees (any location): $200,700 - $250,900
• Canadian employees (any location): CAD $189,700 - $237,100

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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Key responsibilities include structuring, drafting, and negotiating transaction documentation on non-dilutive financing transactions, including corporate loans, asset-backed financings, and project finance deals supporting our infrastructure and compute investments. You will also act as the primary legal point of contact for banking and financing counterparties, working with LMA-standard documentation and bespoke structures alike.

In addition to your technical expertise, you will provide practical, hands-on legal guidance that enables the business to move fast while limiting legal risks. You will build and maintain internal templates, precedents, and guidelines for financing documentation, and support on ancillary legal topics as needed.

To succeed in this role, you will need a proven track record in structuring and negotiating non-dilutive financing deals, including corporate loans, bridge facilities, asset-backed and project finance transactions. Familiarity with LMA standard documentation is required, and strong experience in project finance or infrastructure financing is highly valued.

You will also need excellent written and verbal communication skills, with the ability to present complex legal concepts in a clear and understandable manner to non-legal stakeholders. A sharp business acumen, honed through direct experience working within businesses, is also essential.

Finally, you will need great negotiation skills, with a history of successfully leading critical discussions with banks, investors, and infrastructure partners, balancing assertiveness with collaboration, and maintaining positive, long-term relationships with all stakeholders.

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In this role, you will characterise these emerging workloads and develop novel methods to optimise for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.

As NVIDIA makes significant strides in AI datacentres, our team holds a central role in maximising the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development.

We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude , qualities that fuel our collective success in shaping the future of datacentre technology.

Responsibilities:

• Continuously keep up to date on the latest advancements in generative AI research.
• Analyse and prototype emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
• Pioneer and develop optimisations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.
• Collaborate closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

Requirements:

• Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
• A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.
• A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
• Growth mindset and pragmatic attitude.

Nice to Have:

• Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.
• Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.
• Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.
• Familiarity with computer architecture and how it relates to AI algorithms development.

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You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Key responsibilities include:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.

• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

• Fluent in Japanese and English

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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We are constantly looking for talented and motivated professionals to contribute to the future of mobility and technology.

If you haven't found an open position that matches your profile, we invite you to submit your spontaneous application.

By sharing your background and interests, you will have the opportunity to be considered for future opportunities that match your skills.

Our teams will evaluate your application and contact you as soon as an opportunity arises.

You are a collaborative person, comfortable in an international context, with good communication skills and a solid knowledge of the English language.

Curiosity, flexibility, and a willingness to learn will allow you to grow and succeed in AVL.

We are looking for a professional who is passionate about innovation and technology, with a strong desire to make a difference.

As a member of our team, you will have the opportunity to work on exciting projects, collaborate with experienced professionals, and develop your skills and expertise.

Benefits:

• Competitive salary and benefits package

• Opportunities for professional growth and development

• Collaborative and dynamic work environment

• Access to cutting-edge technology and resources

• Flexible working hours and remote work options

• Recognition and rewards for outstanding performance

Responsibilities:

• Contribute to the development of new technologies and products

• Collaborate with cross-functional teams to deliver projects and initiatives

• Analyze and solve complex problems and challenges

• Develop and implement effective solutions and strategies

• Communicate effectively with stakeholders and team members

• Stay up-to-date with industry trends and developments

Requirements:

• Bachelor's degree in a relevant field (e.g., engineering, computer science, mathematics)

• 2+ years of experience in a related field

• Strong understanding of programming languages and software development principles

• Excellent communication and collaboration skills

• Ability to work in a fast-paced and dynamic environment

• Willingness to learn and adapt to new technologies and processes

Preferred qualifications:

• Master's degree in a relevant field

• 5+ years of experience in a related field

• Experience with agile development methodologies and scrum frameworks

• Familiarity with cloud-based technologies and platforms

• Certification in a relevant field (e.g., AWS, Azure, Google Cloud)

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We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.

Business: CTO Data Technology

In this role, you will:

• Lead Data Platform As A Service solution design & reviews; make clear trade-offs across resilience, performance, cost, and time-to-market
• Drive engineering excellence: CI/CD, automated testing, code quality, and release governance
• Leads by doing (not managing): guides engineers/teams through complexity and raises engineering standards through day-to-day actions
• Strong engineering fundamentals with a continuous improvement and Open Source First mindset; willing to learn the best tool/language for the problem
• Define reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native technology stacks with Open Source Stacks
• Modern delivery and operations experience: end-to-end ownership, continuous delivery/DevOps practices, and use of operational metrics (e.g., DORA)
• Broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery
• AI/ML technology evolution focus: stays current on applied Artificial Intelligence (including Generative AI) and identifies practical opportunities to embed AI into data and engineering workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality

Requirements

To be successful in this role, you should meet the following requirements:

• 5+ years of experience in relevant technologies
• Deep subject matter expertise to implement Data Platform services, with strong teamwork, gathering information and analyzing, judgment and decision making, communication competencies
• Strong data technology delivery record in global capacity, as well as full literacy to articulate key technology trends (e.g. Data & AI) and regulatory expectations (e.g. Data Privacy & Localization etc) in context of HSBC
• Data Engineering (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS) with Open Source Stacks, Cloud SQL,
• Deep subject matter expertise on cloud-native technology, Git, Jenkins, Airflow, Pub/Sub/Kafka, CI/CD
• Practical experience with Agentic Engineering & LLM services, including deploying/consuming endpoints
• Experience with IT automation tools and DevSecOps practices and technologies /WX

You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.

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You will partner with product managers, software engineers, data scientists, and operation teams to brainstorm, design, and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel.

Your responsibilities will include:

• Working with large-scale structured and unstructured data; exploring, experimenting, building, and continuously improving foundation models for Airbnb product, business, and operational use cases.
• Creating a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best-in-class technologies to deliver customer benefits.
• Continuously evaluating recent and upcoming large foundational models, ensuring the selection and refinement of the highest-quality models for enhanced performance and efficiency.
• Hands-on prototyping, developing, and productionizing LLM models and pipelines at scale, including both batch and real-time use cases.
• Driving key AI architectural decisions for products and contributing to Airbnb's ML platform architecture and strategy.

Minimum qualifications include a PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field, along with 10+ years of experience with developing machine learning models and products at scale from inception to business impact.

Preferred qualifications include a PhD in AI, machine learning, data science, or a related technical field, publications at peer-reviewed AI conferences, experience with AI technologies in customer support applications, and experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.

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We're looking for a Mobile Growth Manager to own and scale our app acquisition and growth channels. This role will be hands-on in building, testing, and optimizing campaigns across mobile platforms,working cross-functionally with creative, product, lifecycle marketing, and data science.

Responsibilities

• Develop and execute mobile growth strategies across key acquisition channels (Meta, TikTok, Apple Search Ads, Google App Campaigns, and emerging platforms)

• Own campaign planning, budget allocation, optimization, and performance tracking end-to-end

• Partner closely with creative teams to develop high-performing, platform-native ad creative (static, video, UGC)

• Design and run experiments to improve install rate, activation, retention, and monetization

• Work with product and lifecycle teams to optimize onboarding, conversion flows, and downstream engagement

• Build and leverage attribution frameworks (SKAN, MMPs) to measure true performance and guide decision-making

• Analyze performance and optimize campaigns based on CPI, CAC, LTV, payback period, and retention metrics

• Identify and scale high-performing channels while quickly cutting underperforming ones

• Stay up to date with platform changes, privacy updates, and emerging opportunities in mobile growth

Who you are

We're looking for exceptional individuals who combine analytical rigor with a strong performance mindset, who are excited by fast iteration and measurable impact. You'll thrive with us if you:

• Have hands-on experience managing mobile acquisition campaigns across platforms like Meta, TikTok, Apple Search Ads, or Google App Campaigns

• Think beyond installs and optimize for full-funnel metrics like activation, retention, LTV, and revenue

• Are comfortable working within mobile attribution constraints (SKAN, MMPs) and making decisions with imperfect data

• Are comfortable operating in ambiguity and building new channels or programs from scratch

• Collaborate effectively with creative, product, lifecycle, and data teams to drive growth

• Take ownership and move quickly, balancing experimentation with execution

• Communicate clearly and can translate performance into business outcomes (growth, revenue, efficiency)

What we offer

• High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

• A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!)

• Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

• Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

#LI-Remote

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Role

OpenAI's Applications organization spans several rapidly scaling businesses across Consumer, Enterprise, Developers, and Hardware. As OpenAI expands globally, the international business is becoming an increasingly important driver of growth, requiring deeper financial visibility, regional coordination, and market-specific investment decision-making.

We are hiring a senior Strategic Finance thought partner to work closely with the Business Finance Officer (BFO), regional leadership and other Strategic Finance teams to drive the financial performance of OpenAI's international business. This role operates at the intersection of strategy, finance, and operations. You'll help leadership understand regional performance drivers, allocate investment effectively across markets, and ensure the organization scales globally with strong financial discipline.

You'll also focus on the highest-leverage international priorities: building financial visibility across regions, improving operating rigor, identifying growth opportunities and risks, and ensuring alignment across regional leaders and central functional teams.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected, with potential opportunities to live and work from one of our regional offices over time.

In this role, you will:

• Own financial visibility and performance management across OpenAI's international business, including regional revenue, growth, investment efficiency, and operating metrics.

• Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets.

• Support international expansion planning by helping evaluate market opportunities, investment priorities, and regional scaling strategies.

• Develop executive-level reporting and financial narratives to help leadership understand international business performance and inform strategic decision-making.

• Coordinate cross-functional planning and forecasting processes across international regions, ensuring alignment between regional teams, Strategic Finance, Data Science, GTM, and Corporate Finance.

• Help establish scalable operating frameworks and governance processes that enable OpenAI to manage a rapidly growing global business with increasing rigor and consistency.

• Drive international business reviews and recurring operating cadences, helping leadership track progress against regional goals and quickly surface emerging issues.

• Partner across the finance organization to support public-company-readiness initiatives and improve the quality, consistency, and scalability of international reporting.

• Help design and implement agentic workflows and AI-enabled operating processes that improve financial visibility, forecasting, and execution across global teams.

You might thrive in this role if you have:

• 10+ total years of progressive experience in Investment Banking, Management Consulting, Private Equity, and Strategic Finance.

• 4+ years of direct experience Strategic Finance at a high-growth technology company, ideally publicly traded.

• Exceptional modeling and analytical skills, with the ability to translate complex business drivers into clear, actionable frameworks.

• A proven ability to communicate verbal and written insights at the executive level; and to and influence cross-functional stakeholders at all levels.

• Deep curiosity about disparate business models and how a wide range of end markets will be shaped by AI.

• Strong organizational and process management skills, with a talent for orchestrating multiple parties to achieve an outcome.

• An enthusiastic 'roll up your sleeves' mentality and an ability to deal effectively with ambiguity to thrive in an unstructured, fast-paced environment.

• High enthusiasm for experimentation with and the deployment of AI.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information.

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A successful Solutions Architect is deeply curious, continually learning, and driven to challenge the status quo. This role provides an opportunity to make a meaningful impact by helping customers tackle observability problems, enabling customers to harness the full power of Elastic Observability, and contributing to Elastic’s growth in this space.

Key responsibilities will include:

• Serving as the technical lead and trusted advisor to customers, partners, and internal stakeholders for Elastic Observability solutions with a focus on infrastructure monitoring (metrics), application monitoring (tracing), and logging.
• Providing thought leadership and championing the evolution of OpenTelemetry with Elastic customers and inside the CNCF OpenTelemetry community.
• Collaborating with sales and customer teams to understand customer challenges, goals, and environments, and designing tailored observability solutions.
• Guiding customers in adopting observability standards to ensure compatibility and success with Elastic’s solutions.
• Helping customers architect for high-fidelity observability at scale.
• Leading technical discussions and demonstrations, showcasing Elastic’s Observability and GenAI capabilities.
• Developing proof-of-concept solutions that highlight the value and impact of Elastic’s Observability offerings for customer use cases.
• Developing instructional observability workshops for the field and customers.
• Creating and nurturing relationships with key decision-makers and technical leaders within customer organizations.
• Driving best practices for observability architecture, deployment, and operations with a focus on scale, performance, and cost efficiency.
• Contributing to the evolution of Elastic’s Observability products, providing feedback from the field to Product and Engineering teams.
• Representing Elastic at conferences, webinars, and industry events as a subject matter expert on Observability and OpenTelemetry.
• Building and maintaining technical documentation and resources to support enablement efforts.
• Developing and maintaining deep expertise in Elastic’s Observability solutions and OpenTelemetry standards, staying current with industry trends and advancements.
• A light understanding of the cybersecurity ecosystem and the role security solutions play in modern DevSecOps.

Requirements include:

• Deep expertise in OpenTelemetry, including significant contributions to its development or ecosystem.
• A track record of success in a technical presales/consulting role,enough experience selling and implementing technology to earn your customer’s trust.
• Experience building PoCs, inclusive of the technical skills required to develop exemplary custom services and stage typical supporting infrastructure, like Kubernetes, Kafka, Postgres across both self-managed and hosted environments.
• An ideal candidate will have some practitioner experience using observability products as a SRE or developer.
• Experience designing and presenting technical solutions related to Observability, OpenTelemetry, or AI technologies in a pre-sales or consulting capacity.
• A demonstrable ability to articulate and sell the benefits of modern platforms, software, and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.
• A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.
• An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?
• The ability to inspire groups, both large and small.
• A willingness to travel 30% within the region, as well as occasionally internationally.

In terms of compensation, the typical starting salary range for this role is $129,000-$204,000 USD, with a variable component that, together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

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You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures.

Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products.

Responsibilities:

• Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve.

• Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever.

• Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure.

• Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity.

• Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform.

• Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements.

Minimum Qualifications:

• Experienced product manager with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking.

• Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring).

• Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities.

• Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps.

• Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams.

Preferred Qualifications:

• Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management.

• Understanding of the Ad Tech ecosystem (bidding, ranking, targeting).

• Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG).

Perks and Benefits:

• 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)

• Competitive salary and equity options

• Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)

• Generous 401k matching

• Flexible vacation policy

• Paid parental leave (4+ months)

• Family planning support

• Paid volunteer time off

Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

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As a Support Process Program Manager at Stripe, you will own a 'run the business' program, setting strategy, identifying improvement opportunities, and driving solutions in alignment with cross-functional partners. You will also manage a portfolio of process improvement projects, working cross-functionally with partner teams across Support to reduce friction, standardize workflows, and deliver measurable impact to Support's top-line metrics.

Responsibilities

• Support a 'run the business' program, including intake process management, recurring operational reviews with stakeholders, reporting routines, and distribution of workload to subject matter experts
• Own a portfolio of 2–3 concurrent process improvement projects from scoping through execution, driving measurable impact to top-line Support metrics
• Partner cross-functionally with stakeholders from Product and Support throughout the strategic design and execution phases of your projects to maximize the impact of your work
• Proactively identify process improvement opportunities, ensuring that proposals to change meet our desired outcomes and optimize for key metrics while minimizing potential risks

Who We Are Looking For

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 4-7 years of experience in Operations, Support, project/program management, business process analysis, strategy and operations, and/or consulting
• Full professional proficiency in English (written and verbal) to collaborate with global teams
• Strong program management skills – Proven track record of managing end-to-end programs that transform operations and deliver quantifiable business impact
• Highly collaborative – Skilled at managing global stakeholders across all project phases, driving alignment and commitment, and unblocking progress
• Excellent communicator – Able to distill complex topics into clear, concise updates for leaders and peers across teams
• Data savvy – Comfortable analyzing large datasets and using data to drive program decisions and reporting
• Curious and driven – A self-starter who digs into the details, navigates ambiguity, and relentlessly pushes through challenges to find solutions
• AI enabled – Ability to understand, apply, interact with, and leverage artificial intelligence (AI) technologies in various contexts

Preferred Qualifications

• Experience working in customer-facing roles (e.g. customer support, sales, partnerships, consulting, professional services, etc.)
• Experience with relevant Support programs, such as Quality Assurance, Launch Readiness, and Knowledge Management
• Experience in fintech, financial services, payments, or regulated technology environments
• Familiarity with Jira, Medallia, Asana, Confluence, Trailhead, Whimsical, Salesforce, Claude Code, UnwrapAI
• Familiarity with SQL and data analysis platforms such as Looker, Power BI, or Tableau

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto sits at the centre of many of the most important workflows for small businesses, which creates a meaningful opportunity to use rich product and customer data to build AI- and ML-powered systems that improve customer experiences, automate complex work, support better decision-making, and help small businesses thrive.

As Gusto becomes more AI-native, we are evolving how AI, ML, risk modeling, and platform capabilities come together across our products and internal systems. We are seeking a strategic Head of AI/MLE to lead this next chapter.

In this key leadership role, you will define how Gusto builds, deploys, evaluates, and scales AI/ML systems across the company. You will lead a broad organisation spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, while partnering closely with senior business leaders to shape where AI can create durable customer and business impact.

As the Head of AI/MLE at Gusto, you will be responsible for unifying classical ML and GenAI into a coherent technical strategy, maturing the platform for broader self-service adoption, and shaping how AI-native products and production systems are built at Gusto.

Your teams will help translate business problems into end-to-end AI/ML systems, from experimentation and prototyping through evaluation, deployment, monitoring, feedback loops, and operational governance.

Your leadership will be critical in setting the technical direction, operating model, and quality bar for AI at Gusto. You will help teams move quickly where speed and learning matter most, while ensuring production systems meet high standards for reliability, measurement, safety, and long-term maintainability.

This is a senior technical executive role for someone who can combine deep engineering credibility, strong business judgment, and executive-level influence to make AI a durable advantage for Gusto.

Here’s what you’ll do day-to-day:

• Lead, manage, and develop a broad AI/MLE organisation spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, fostering a culture of technical excellence, customer impact, collaboration, and continuous learning.

• Define and execute Gusto’s AI/ML systems strategy, unifying classical ML, GenAI, risk modeling, and platform capabilities into a coherent approach that supports Gusto’s broader business and product goals.

• Partner with senior leaders across Product, Engineering, Design, Data, Risk, Legal, Security, and business teams to identify where AI/ML can create meaningful customer value, business impact, and operational leverage.

• Shape how AI-native products and internal systems are built at Gusto, helping teams translate business problems into end-to-end AI/ML systems with clear standards for evaluation, monitoring, observability, reliability, safety, governance, and long-term maintainability.

• Lead the development and maturation of AI/ML platform capabilities, tooling, primitives, guardrails, and deployment patterns that make it easier for product and engineering teams to build, evaluate, deploy, and operate AI/ML systems with less friction, more autonomy, and the right quality bar.

• Drive disciplined technical and business judgment around AI/ML investments, including where to build, where to leverage existing capabilities, and where to avoid unnecessary complexity.

• Create room for fast experimentation and learning where appropriate, while ensuring high-impact production systems meet strong standards for quality, operational rigor, and business accountability.

• Set clear goals, KPIs, and operating rhythms to measure the performance, adoption, and business impact of AI/ML systems, and communicate progress and tradeoffs clearly to senior leadership.

• Stay close to the frontier of AI/ML advancement and help Gusto apply new technologies pragmatically, with strong judgment about what is durable, useful, and ready for production.

Here’s what we're looking for:

• We love meeting people with different technical and leadership backgrounds. For this role, we are looking for 10+ years of experience leading teams in applied machine learning, AI, engineering, or data science roles, with a track record of delivering impactful customer-facing software solutions.

• Deep technical expertise across AI/ML systems, including classical ML, GenAI/LLMs, statistical modeling, risk modeling, and production-scale deployment.

• Strong software engineering and systems background, with the ability to lead technical strategy across data, retrieval, evaluation, deployment, routing, monitoring, observability, feedback loops, and lifecycle management.

• Experience leading and scaling high-performing technical organisations, including Machine Learning Engineers, AI/ML Platform teams, Risk Data Scientists, and/or AI Scientists.

• Experience evolving ML teams toward a stronger software engineering and systems orientation, with clear ownership for building, operating, and improving production AI/ML systems.

• Strong platform orientation, with experience building tools, primitives, guardrails, and self-service capabilities that help product and engineering teams build AI/ML-powered products safely and effectively.

• Executive-level strategic judgment, with the ability to shape company-level AI/ML priorities, align senior leaders around tradeoffs, and make clear investment decisions based on customer value, business impact, technical feasibility, risk, data readiness, and operational complexity.

• Strong executive communication and influence, with the ability to explain complex AI/ML concepts and technical decisions in a way that clarifies strategy, tradeoffs, risk, investment needs, and organisational implications.

• Experience operating as a peer to senior cross-functional leaders across product, engineering, design, data, risk, legal, security, and business teams , bringing clarity, urgency, and practical judgment to ambiguous company-level opportunities.

• A clear thesis on how classical ML and GenAI should work together, how modern AI platform capabilities like retrieval, evaluation, agents, and observability should come together, and how AI/ML teams should evolve as the field becomes more software- and systems-oriented.

• Experience in fintech, risk modeling, regulated environments, or domains with high standards for reliability, trust, and compliance is a plus.

• Advanced degree in computer science, data science, machine learning, statistics, or a related field is a plus, but demonstrated systems leadership, production judgment, and executive-level impact matter most.

Our cash compensation amount for this role is targeted at $245,000-272,000 in Denver & most remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

We're looking for a Head of ML/AI Engineering to lead our AI/ML efforts and help us build AI-native products and internal systems. As the Head of AI/MLE at Gusto, you will be responsible for unifying classical ML and GenAI into a coherent technical strategy, maturing the platform for broader self-service adoption, and shaping how AI-native products and production systems are built at Gusto.

Responsibilities

• Lead, manage, and develop a broad AI/MLE organization spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, fostering a culture of technical excellence, customer impact, collaboration, and continuous learning.

• Define and execute Gusto’s AI/ML systems strategy, unifying classical ML, GenAI, risk modeling, and platform capabilities into a coherent approach that supports Gusto’s broader business and product goals.

• Partner with senior leaders across Product, Engineering, Design, Data, Risk, Legal, Security, and business teams to identify where AI/ML can create meaningful customer value, business impact, and operational leverage.

• Shape how AI-native products and internal systems are built at Gusto, helping teams translate business problems into end-to-end AI/ML systems with clear standards for evaluation, monitoring, observability, reliability, safety, governance, and long-term maintainability.

• Lead the development and maturation of AI/ML platform capabilities, tooling, primitives, guardrails, and deployment patterns that make it easier for product and engineering teams to build, evaluate, deploy, and operate AI/ML systems with less friction, more autonomy, and the right quality bar.

• Drive disciplined technical and business judgment around AI/ML investments, including where to build, where to leverage existing capabilities, and where to avoid unnecessary complexity.

• Create room for fast experimentation and learning where appropriate, while ensuring high-impact production systems meet strong standards for quality, operational rigor, and business accountability.

• Set clear goals, KPIs, and operating rhythms to measure the performance, adoption, and business impact of AI/ML systems, and communicate progress and tradeoffs clearly to senior leadership.

• Stay close to the frontier of AI/ML advancement and help Gusto apply new technologies pragmatically, with strong judgment about what is durable, useful, and ready for production.

Requirements

• 10+ years of experience leading teams in applied machine learning, AI, engineering, or data science roles, with a track record of delivering impactful customer-facing software solutions.

• Deep technical expertise across AI/ML systems, including classical ML, GenAI/LLMs, statistical modeling, risk modeling, and production-scale deployment.

• Strong software engineering and systems background, with the ability to lead technical strategy across data, retrieval, evaluation, deployment, routing, monitoring, observability, feedback loops, and lifecycle management.

• Experience leading and scaling high-performing technical organizations, including Machine Learning Engineers, AI/ML Platform teams, Risk Data Scientists, and/or AI Scientists.

• Experience evolving ML teams toward a stronger software engineering and systems orientation, with clear ownership for building, operating, and improving production AI/ML systems.

• Strong platform orientation, with experience building tools, primitives, guardrails, and self-service capabilities that help product and engineering teams build AI/ML-powered products safely and effectively.

• Executive-level strategic judgment, with the ability to shape company-level AI/ML priorities, align senior leaders around tradeoffs, and make clear investment decisions based on customer value, business impact, technical feasibility, risk, data readiness, and operational complexity.

• Strong executive communication and influence, with the ability to explain complex AI/ML concepts and technical decisions in a way that clarifies strategy, tradeoffs, risk, investment needs, and organizational implications.

• Experience operating as a peer to senior cross-functional leaders across product, engineering, design, data, risk, legal, security, and business teams , bringing clarity, urgency, and practical judgment to ambiguous company-level opportunities.

• A clear thesis on how classical ML and GenAI should work together, how modern AI platform capabilities like retrieval, evaluation, agents, and observability should come together, and how AI/ML teams should evolve as the field becomes more software- and systems-oriented.

• Experience in fintech, risk modeling, regulated environments, or domains with high standards for reliability, trust, and compliance is a plus.

• Advanced degree in computer science, data science, machine learning, statistics, or a related field is a plus, but demonstrated systems leadership, production judgment, and executive-level impact matter most.

Our cash compensation amount for this role is targeted at $245,000-272,000 in Denver & most remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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Join the team as Twilio's next Senior Manager, Software Engineering.

This role leads two key Commerce teams within Twilio: Shopping Experience and Billing Experience. These teams power core Billing and Commerce capabilities, including customer self-service, billing infrastructure, and lifecycle management.

In this role, you'll:

• Lead a group of world-class Software Engineers working on core and critical systems directly used by our customers.

• Collaborate with Product and Engineering peers across the org to develop technical strategy for your team and long-range plans to deliver for Twilio customers.

• Raise the bar on reliability, operational efficiencies, and customer experience metrics core to Twilio Billing Experience.

• Influence direction, culture, and engineering standards across the whole team.

• Continuously refine practices to support the growth, development, and improvement of both individuals and the team.

• Hire, mentor, and develop world-class engineering talent and contribute to Twilio's talent evolution.

Qualifications:

• 10+ years of experience working on large-scale distributed systems.

• 3+ years of experience managing engineering teams.

• Experience in leading 1-2 teams of total 8+ engineers.

• Understanding of architectural patterns and best practices of high-scale web application (e.g., well-designed APIs, Backend For Frontend, Domain Driven Development).

• Ability to dive deep into technical details and provide guidance to the team when required.

• Strong customer focus, taking the time to really understand their needs and ensure we are solving their problems.

• Proven track record of delivering in a fast-paced and ambiguous environment.

• Prior experience in the Billing domain with an understanding of industry trends is highly desirable.

Desired:

• Strong focus on delivering exceptional user experiences with a customer-first mindset.

• Prior E-Commerce or Billing experience.

Travel:

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

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This role leads two key Commerce teams within Twilio: Shopping Experience and Billing Experience. These teams power core Billing and Commerce capabilities, including customer self-service, billing infrastructure, and lifecycle management.

The ideal candidate will partner closely with Product to shape the roadmap, drive execution, and deliver innovative solutions and capabilities for both internal stakeholders and external customers.

Responsibilities:

• Lead a group of world-class Software Engineers working on core and critical systems directly used by our customers.

• Collaborate with Product and Engineering peers across the org to develop technical strategy for your team and long-range plans to deliver for Twilio customers.

• Raise the bar on reliability, operational efficiencies, and customer experience metrics core to Twilio Billing Experience.

• Influence direction, culture, and engineering standards across the whole team.

• Continuously refine practices to support the growth, development, and improvement of both individuals and the team.

• Hire, mentor, and develop world-class engineering talent and contribute to Twilio's talent evolution.

Qualifications:

• 10+ years of experience working on large-scale distributed systems.

• 3+ years of experience managing engineering teams.

• Experience in leading 1-2 teams of total 8+ engineers.

• Understanding of architectural patterns and best practices of high-scale web application (e.g., well-designed APIs, Backend For Frontend, Domain Driven Development).

• Ability to dive deep into technical details and provide guidance to the team when required.

• Strong customer focus, taking the time to really understand their needs and ensure we are solving their problems.

• Proven track record of delivering in a fast-paced and ambiguous environment.

• Prior experience in the Billing domain with an understanding of industry trends is highly desirable.

Desired:

• Strong focus on delivering exceptional user experiences with a customer-first mindset.

• Prior E-Commerce or Billing experience.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

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Stripe is seeking a Product Counsel to join our Product Legal team. As a key advisor to our product, engineering, and partnerships teams, you will counsel on a range of issues relating to the adoption of artificial intelligence in all facets of Stripe's business, including data protection and privacy law, consumer protection, and product development.

Responsibilities

• Counsel the global product team on a range of issues relating to the adoption of artificial intelligence in all facets of Stripe's business, including data protection and privacy law, consumer protection, and product development.
• Closely collaborate with teams across Stripe (including, engineering, partnerships, privacy and security teams) to deliver pragmatic and actionable legal advice to your clients on a range of issues related to the product development lifecycle - from initial scoping to launch
• Draft, review, and update internal and external-facing foundational terms and documents for Stripe's products and service offerings
• Stay up-to-date (with the support of Stripe's many legal subject matter experts) on laws and regulations dealing with consumer financial data access; analyze laws, regulatory updates, industry trends to proactively advise clients of potential product impacts
• Participate as a proactive business partner to your product team and build a trusted advisor relationship offering key legal and strategic business input in evolving Stripe and its product roadmap and strategy

Requirements

• 6+ years of demonstrated experience either as a qualified lawyer in a top law firm or in-house legal team working with technology companies (ideally the law that applies to cloud-based API service providers) on the legal and regulatory aspects of product development in the technology space
• Proficiency in, and passion for, working with technology and ability to understand complex operational and business models as well as multiple product use cases quickly
• A self-starter and self-learner who thrives in a fast-paced environment, managing multiple work streams and priorities simultaneously and efficiently
• Someone with an ownership mentality that deals well with ambiguity, prides themselves on having excellent judgment and making decisions with limited information
• Strong communication and relational skills and can work well cross-functionally with a sense of urgency, while remaining highly collaborative and fun
• Excellent project management and organizational skills to stay on top of shifting priorities and thrives working under tight deadlines
• A background in technology law, Excellent written and verbal communication skills.
• Strategic thinking to enable business partners to make decisions that are grounded in a practical application of the law, the technology, and the business goals.

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Our team is responsible for the development of software solutions for various Porsche products, including the Porsche 911 and the Porsche Cayman. We are looking for someone who is051 passionate about software development and has a strong interest in machine learning and artificial intelligence.

Responsibilities:

• Assist in the development of software solutions for various Porsche products
• Work on machine learning and artificial intelligence projects
• Collaborate with cross-functional teams to ensure timely delivery of projects
• Participate in code reviews and contribute to the improvement of our codebase

Requirements:

• Bachelor's degree in Computer Science or related field
• Strong programming skills in languages such as Python, Java, or C++
• Experience with machine learning and artificial intelligence frameworks such as TensorFlow or PyTorch
• Good understanding of software development principles and practices
• Excellent communication and teamwork skills

Preferred qualifications:

• Master's degree in Computer Science or related field
• Experience with Agile development methodologies
• Knowledge of DevOps practices and tools

Benefits:

• Opportunity to work on exciting projects and contribute to the development of innovative software solutions
• Collaborative and dynamic work environment
• Professional development opportunities

If you are a motivated and talented individual who is passionate about software development and machine learning, we encourage you to apply for this exciting opportunity.

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locationsUS, CA, Santa ClaraUS, WA, Seattle

time typeFull time

posted onPosted Yesterday

job requisition idJR2017908

NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs powering NVIDIA’s next-generation AI software platforms. In this role, you will drive software initiatives across platform services, cloud infrastructure, and system integration. The focus is on enabling scalable, reliable, and supportable software for AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely, high-quality delivery. This role requires strong technical competence, a proactive approach, and the ability to operate effectively across multiple levels of the organization. This is a software-first TPM role. The ideal candidate has extensive experience managing software initiatives. They also understand the full-stack environment, including infrastructure dependencies, system bring-up, integration readiness, and operational needs to support software across stack layers.

What You'll Be Doing:

• Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization.

• Work together with software, infrastructure, product, and operations teams to ensure alignment on goals, deliverables, achievements, and schedules.

• Lead cross-functional initiatives encompassing cloud-native services, platform software, system integration, and release delivery.

• Help connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, bring-up, validation, and downstream operational support.

• Define and implement scalable program management processes, tools, and guidelines to improve execution velocity, visibility, and predictability.

• Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues.

• Establish clear success metrics and reporting mechanisms to track progress and communicate status to senior leadership.

• Foster a culture of collaboration and continuous improvement across engineering, product, and operations teams.

• Develop and implement metrics for measuring program efficiency and improvement areas, collect and analyze data in support of planning and data-driven decisions.

• Report on overall program status, providing insights and recommendations to senior management.

• Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes across the software development lifecycle.

What We Need To See:

• Postgraduate degree in Computer Science, Artificial Intelligence, Engineering, or equivalent experience.

• 12+ years of program management experience, including proven ability managing global projects across multiple time zones.

• Solid knowledge of software systems, cloud platforms, distributed systems, and contemporary infrastructure environments.

• Proven experience driving complex software programs in fast-paced development environments.

• Solid knowledge of software engineering principles, release procedures, system integration, and platform delivery.

• Ability to understand the broader full stack and work effectively across software, infrastructure, operations, and bring-up teams.

• Experience managing programs that involve coordination from initial architecture and development through validation, launch preparation, and operational support.

• Proven experience creatively resolving technical issues and resource conflicts.

• We need you to have hands-on experience with a fast-paced software development environment.

• Excellent communication and technical presentation skills as well as significant experience with large-scale Agile tools, reporting, and processes relevant to this role is required.

• Demonstrated skill in engaging and moderating successful engagements with engineering, operations, and product teams.

Ways To Stand Out From The Crowd:

• Strong background in Machine Learning, Deep Learning, and Artificial Intelligence applications.

• Experience with cloud-native platforms, containerized systems, Kubernetes-based environments, or platform orchestration technologies.

• Prior experience supporting large-scale software stack bring-up, integration, or release readiness.

• Experience working across infrastructure and platform layers to enable modular, composable software systems from bare metal through platform services.

• Familiarity with open-source software delivery, ecosystem preparedness, and platform implementation is a plus.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a hardworking individual who enjoys autonomy and shares our passion for technology, we want to hear from you. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.

#LI-Hybrid

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 22, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Senior Solutions Engineer in the MEA Pre-Sales team (Qatar & S.Africa Fly-in), you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

You’ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team.

• Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation.

• Lead strategic engagements, shaping Data & AI transformation roadmaps, fostering innovation partnerships, and driving account growth across territories in the regions.

• Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.

• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• 5+ years of experience engaging in technical customer interactions, preferably bringing direct pre-sales and complex sales lifecycles experience. Relevant and transferable consulting experience can also be considered for the role.

• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.

• Ability to dive deeper into solution architecture and Data Engineering, Data Warehousing, Data Science use cases, combined with experience working on cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms)

• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).

• Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

Key Notes for the role:

• Location for the role can be in London or Paris (i.e. within a commutable distance of these office locations for hybrid schedule).

• You will need to be flexible and willing to travel across the region(s) for customer visits & events on a regular basis (i.e. up to ~2 weeks per month).

• Willing to manage different conversations with Business and Technical stakeholders; Enabling Partners and support internal events in the MEA region.

• Excellent communication skills in English required as a minimum.

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Our ideal candidate will have a strong background in AI/ML, data analytics, and RPA, with experience in architecting and deploying cutting-edge automated solutions. You will be responsible for:

Architecting and implementing AI/ML algorithms to boost IT operational efficiency and resilience Developing scalable AI platforms for predictive analytics and proactive system optimization Deploying machine learning models for automated incident resolution and operational intelligence Building advanced data analytics systems to extract actionable insights from big data Creating interactive dashboards for real-time monitoring of key operational metrics and trend analysis Formulating data strategies to maximize value and drive continuous IT improvement Identifying and implementing RPA solutions to automate repetitive tasks and streamline workflows Collaborating with cross-functional teams to integrate AI, data analytics, and RPA for enhanced IT operations

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about AI/ML and data analytics, and want to join a dynamic and innovative team, please apply now!

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Key responsibilities include:

• Defining, owning, and executing Razer's global IT and digital technology roadmap aligned with Razer's corporate strategy and financial objectives.
• Serving as a trusted strategic advisor to executive leadership on technology direction, investment prioritization, risk posture, and innovation opportunities.
• Driving enterprise-wide digital transformation initiatives to improve business agility, scalability, and operational efficiency.
• Establishing clear success metrics, KPIs, and governance for technology initiatives.

In addition, you will be responsible for:

• Owning and continuously evolving Razer's global cybersecurity strategy to safeguard Razer's systems, data, intellectual property, and customer information.
• Providing executive oversight of the Global Security Operations Center (GSOC), including threat detection, incident response, and recovery.
• Leading cybersecurity incident response planning and investigations, coordinating with Legal, HR, Finance, and external stakeholders as required.
• Ensuring compliance with global data privacy, regulatory, and audit requirements across all regions and systems.

You will also be responsible for:

• Providing executive ownership of enterprise applications including SAP ERP, SAP Commerce, ServiceNow, Salesforce, MuleSoft, and Oracle CRM.
• Ensuring enterprise applications are secure, reliable, scalable, and aligned with evolving business strategy and operational requirements.
• Governing application lifecycle management, integrations, data flows, and modernization initiatives.
• Partnering with business stakeholders to prioritize roadmaps, enhancements, and adoption.

Furthermore, you will be responsible for:

• Overseeing global IT infrastructure, networks, cloud platforms, and end-user services to ensure high availability and service quality.
• Owning cloud strategy across Microsoft Azure, Office 365, VMware, and related platforms, including security, governance, and cost optimization.
• Ensuring robust disaster recovery, backup, and business continuity capabilities for mission-critical systems.
• Driving operational excellence through strong service management and continuous improvement.

You will also be responsible for:

• Providing executive ownership for the adoption of AI and intelligent automation across enterprise IT and business operations.
• Establishing governance frameworks, risk controls, guardrails, and responsible-use principles for AI technologies.
• Identifying and prioritizing AI-enabled opportunities to improve productivity, operational efficiency, decision-making, and employee experience.
• Partnering with business and functional leaders to ensure AI initiatives deliver measurable value while aligning with regulatory, security, and data privacy requirements.

Finally, you will be responsible for:

• Owning global IT budgeting, forecasting, and financial management in close partnership with Finance.
• Ensuring technology investments are prioritized and governed based on strategic value, risk management, and financial discipline.
• Leading vendor strategy, including sourcing, contract negotiation, performance management, and risk oversight.
• Optimizing cloud spend, licensing, and third-party services while maintaining service quality and security.

As a Senior Director, Information Technology, you will lead, mentor, develop, and inspire global IT leaders and teams across infrastructure, applications, security, and operations. You will build strong partnerships with Finance, Legal, HR, and business leadership to ensure technology effectively supports organizational goals. You will communicate complex technology, risk, and investment topics clearly to executive and non-technical stakeholders. You will foster a high-performance culture focused on accountability, innovation, operational excellence, and continuous improvement.

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Your responsibilities will include collecting, preprocessing, and analyzing large datasets to extract meaningful patterns and insights. You will choose appropriate machine learning algorithms based on the nature of the problem, dataset characteristics, and desired outcomes. You will develop and train machine learning models using programming languages like Python or R and frameworks such as TensorFlow or PyTorch.

You will identify and engineer relevant features from the data to enhance the predictive capabilities of machine learning models. You will integrate machine learning models into existing systems or develop new applications that leverage machine learning capabilities. You will optimize machine learning solutions for scalability and efficiency, particularly when dealing with large-scale datasets or real-time applications.

You will collaborate with cross-functional teams, including data scientists, software engineers, and business analysts. You will stay informed about the latest advancements in machine learning, artificial intelligence, and related technologies. You will address ethical considerations related to bias, fairness, and privacy in machine learning models.

You will maintain comprehensive documentation for machine learning models, including code, model architectures, and parameters. You will implement security measures to protect machine learning models and data from potential vulnerabilities. You will establish monitoring mechanisms to track the performance of deployed machine learning models over time.

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Find Your Next Job

Follow Your Passion. Lead a Movement.

You’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots. Self-driving cars to blockbuster movies. And a growing list of new opportunities every single day. Watch this video for a glimpse at why NVIDIA is like no place you've ever worked.

Explore Life at NVIDIA

We’re an eclectic, passionate group of professionals dedicated to solving some of the world’s biggest challenges. The project is the boss,even for our CEO. We thrive on seamless collaboration and shared success while embracing diversity and individuality. Everyone contributes. Everyone belongs.

Help Us Transform Entire Industries

The breakthroughs we’re making at NVIDIA are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. Make an impact.

AI

Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.

Auto

Give cars the ability to see, think, learn, and navigate a nearly infinite range of driving scenarios for faster, safer autonomous driving.

Hardware

Join our hardware team for the opportunity to have real impact in a dynamic, technology-focused company. Our product lines range from consumer graphics to self-driving cars to the growing field of AI. We’ve built an exceptional team of people from around the globe whose mission is to push the frontiers of what’s possible and to define the platform for the future of computing.

Meet More Teams

Ready to Join Us?

Get Started Here

How We Hire

Select Location

The Americas

• Argentina

• Brasil (Brazil)

• Canada

• Chile

• Colombia

• México (Mexico)

• Peru

• United States

Europe

• België (Belgium)

• Belgique (Belgium)

• Česká Republika (Czech Republic)

• Danmark (Denmark)

• Deutschland (Germany)

• España (Spain)

• France

• Italia (Italy)

• Nederland (Netherlands)

• Norge (Norway)

• Österreich (Austria)

• Polska (Poland)

• România (Romania)

• Suomi (Finland)

• Sverige (Sweden)

• Türkiye (Turkey)

• United Kingdom

• Rest of Europe

Asia

• Australia

• 中国大陆 (Mainland China)

• India

• 日本 (Japan)

• 대한민국 (South Korea)

• Singapore

• 台灣 (Taiwan)

Middle East

• Middle East

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As a Technical Program Manager, you will play a critical role in turning this vision into reality - driving cross-functional programs, scaling systems, and delivering AI capabilities that transform how silicon is designed, verified, and brought to production.

Spanning ASIC, research, and infrastructure, this role drives execution in close collaboration with engineers across all teams. We emphasize having influence over technical direction, not just performing tasks or tracking metrics.

You should consider yourself an expert in chip design workflows and AI - or demonstrate a strong willingness to learn.

Our mission is to enable NVIDIA design and deliver world-class silicon faster than ever using AI while ensuring performance, efficiency, and resilience.

Responsibilities:

• Lead end-to-end planning and execution of AI for Chip Design initiatives ensuring timely, on-scope, and scalable delivery

• Define program plans and timelines for AI capabilities, tracking progress, partnership status, risk opportunities and reporting status to leadership

• Lead technical discussions between AI engineers, hardware teams, and platform groups to ensure alignment on architecture, integration, and delivery expectations

• Operationalize the evaluation of both internal and external AI tools and drive their adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement

• Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets

• Serve as the central point of communication for all stakeholders, providing clear status updates, insight into dependencies, and escalating when needed

• Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows

• Document program processes, decisions, and lessons learned to create repeatable practices for AI infrastructure delivery and cross-team collaboration

Requirements:

• Bachelor’s degree (or equivalent experience) in Computer Science or a related field with 12+ years of proven experience leading complex, cross-functional technical programs in AI

• Hands-on experience building, deploying, or integrating AI agents, copilots, or LLM-powered systems into real-world workflows

• Strong understanding of software engineering fundamentals, system architecture, and scalable infrastructure for applications that use artificial intelligence

• Demonstrated ability to collaborate deeply with engineering teams and influence technical decisions, architecture, and trade-offs

• Experience driving programs from concept through production, including planning, execution, risk management, and delivery at scale

• Excellent communication and stakeholder leadership skills, with the ability to translate complex technical concepts into clear program direction and updates

Preferred Qualifications:

• Experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows

• Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications

• Experience with cross-geography coordination and leading teams or projects spanning multiple sites

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We're an eclectic group of professionals dedicated to seamless collaboration and shared success. Everyone contributes, and everyone belongs. Our project is the boss, even for our CEO.

Join our team and help us make a difference. Learn more about our current openings and apply today!

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As a member of our team, you'll work closely with clients to understand their needs and develop solutions that meet their goals. You'll also collaborate with other teams within NVIDIA to ensure that our products and services are aligned with the latest industry trends and advancements.

Our team is passionate about using technology to drive positive change in the world. We're committed to creating a more inclusive and diverse workplace, and we're always looking for talented individuals who share our values.

If you're excited about the prospect of working with cutting-edge technology and making a real difference in the world, we'd love to hear from you.

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We're seeking a creative and experienced Technical Program Manager to drive NVIDIA's Robotics initiatives,spanning foundation models, simulation-to-real workflows, and edge deployment pipelines. You'll own program execution across research, engineering, and product teams to ship robotics solutions at scale. This role is based in Santa Clara, CA and requires on-site work at least 2 days a week.

Responsibilities:

• Own end-to-end program execution for robotics software initiatives: requirements, schedules, risk mitigation, and releases.
• Coordinate cross-functional workstreams across product, simulation, model training, deployment, on-robot validation and more.
• Provide independent technical perspective , challenging assumptions, identifying architectural risks, and grounding decisions in sound engineering principles.
• Drive process improvements to the product lifecycle (PLC), lead release planning.
• Facilitate technical reviews, triage blockers, and communicate status to stakeholders and leadership.
• Identify and handle multi-functional dependencies and risks proactively.

Requirements:

• BS or MS in Computer Science, Robotics, AI, or related field (or equivalent experience).
• 8+ years in Technical Program Management delivering software products.
• Hands-on robotics experience in one or more: robot learning, simulation-based development (synthetic data, domain randomization), model deployment to edge/robot platforms, robot evaluation/benchmarking, or sensor integration.
• Strong grasp of foundational concepts in software development and Agile methodologies.
• Proven success managing complex, multi-team programs with competing priorities.
• Technical depth sufficient to evaluate engineering proposals, ask probing questions, and offer informed feedback,not just track schedules.
• Ability to think long-term and build consensus to make programs successful.

Ways to Stand Out From The Crowd:

• Prior software development or robotics engineering role.
• Direct experience with Isaac Sim, Isaac ROS, Omniverse, or equivalent simulation/SDK tools.
• Familiarity with ML training pipelines, reinforcement learning, or imitation learning workflows.
• Background in autonomous vehicles, manipulation, or mobile robotics platforms.
• Experience navigating hardware/software co-development cycles.

You will also be eligible for equity and benefits.

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Your responsibilities will include:

• Working with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies
• Helping AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms
• Guiding startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems
• Collaborating closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA's platform roadmap
• Building strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to ensure NVIDIA is the platform of choice for the most innovative AI companies
• Supporting the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems
• Partnering with NVIDIA's Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies

To succeed in this role, you will need:

• A BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field
• 5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems
• Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services
• Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications
• Deep understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization
• Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps
• Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives
• Experience working within fast-moving startup environments or supporting high-growth developer ecosystems

If you have experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications, you will stand out from the crowd.

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We’re an eclectic, passionate group of professionals dedicated to solving some of the world’s biggest challenges. The project is the boss,even for our CEO. We thrive on seamless collaboration and shared success while embracing diversity and individuality. Everyone contributes. Everyone belongs.

Help Us Transform Entire Industries

The breakthroughs we’re making at NVIDIA are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. Make an impact.

AI

Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.

Auto

Give cars the ability to see, think, learn, and navigate a nearly infinite range of driving scenarios for faster, safer autonomous driving.

Hardware

Join our hardware team for the opportunity to have real impact in a dynamic, technology-focused company. Our product lines range from consumer graphics to self-driving cars to the growing field of AI. We’ve built an exceptional team of people from around the globe whose mission is to push the frontiers of what’s possible and to define the platform for the future of computing.

Ready to Join Us?

Get Started Here

How We Hire

Select Location

The Americas

• Argentina

• Brasil (Brazil)

• Canada

• Chile

• Colombia

• México (Mexico)

• Peru

• United States

Europe

• België (Belgium)

• Belgique (Belgium)

• Česká Republika (Czech Republic)

• Danmark (Denmark)

• Deutschland (Germany)

• España (Spain)

• France

• Italia (Italy)

• Nederland (Netherlands)

• Norge (Norway)

• Österreich (Austria)

• Polska (Poland)

• România (Romania)

• Suomi (Finland)

• Sverige (Sweden)

• Türkiye (Turkey)

• United Kingdom

• Rest of Europe

Asia

• Australia

• 中国大陆 (Mainland China)

• India

• 日本 (Japan)

• 대한민국 (South Korea)

• Singapore

• 台灣 (Taiwan)

Middle East

• Middle East

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The breakthroughs we're making at NVIDIA are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. Make an impact.

AI

Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.

Auto

Give cars the ability to see, think, learn, and navigate a nearly infinite range of driving scenarios for faster, safer autonomous driving.

Hardware

Join our hardware team for the opportunity to have real impact in a dynamic, technology-focused company. Our product lines range from consumer graphics to self-driving cars to the growing field of AI.

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As a Principal Engineer, you will be responsible for making use of your deep experience with Japanese OEM design philosophies to tailor the roadmap of the Alpamayo reasoning VLA model to become the perfect fit for the Japanese market. You will also build the engineering alignment for success of strategic automotive customer partnerships around the NVIDIA DRIVE architecture.

In addition, you will represent NVIDIA at Japanese industry forums, technical committees, and regulatory bodies to influence the evolution of standards for functional safety and Physical AI certification. You will also serve as the technical authority for strategic RFI and RFQ engagements, aligning customer roadmaps with NVIDIA's full-stack Physical AI solutions.

To be successful in this role, you will need to have a university degree in Computer Science, Electrical Engineering or related field, and at least 15 years of ADAS industry experience. You should also have cross-domain engineering proficiency, covering system software, real-time systems, sensors, as well as end-to-end AI systems.

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Join our team of experts who are passionate about using data science to drive business success. As a member of our team, you'll work closely with clients to understand their needs and develop custom solutions that meet their goals.

Our team is made up of experienced professionals who are dedicated to delivering high-quality results. We're looking for talented individuals who share our passion for data science and are excited about the opportunity to make a real impact.

Responsibilities:

• Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.
• Work closely with clients to understand their needs and develop custom solutions that meet their goals.
• Collaborate with cross-functional teams to deliver high-quality results.

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

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As a senior solutions architect, you will work closely with product, engineering, and federal customers to accelerate NVIDIA technology in the build to deployment of large-scale advanced networking infrastructure. You will guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will also become the primary technical driver for customers during the design, development, construction, integration, and production of networking infrastructure and applications throughout the entire customer lifecycle.

Responsibilities:

• Working with NVIDIA Partners and OEMs in Public Sector on large data center networking system deployments.
• Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments.
• Become the primary technical driver for customers during the design, development, construction, integration, and production of networking infrastructure and applications throughout the entire customer lifecycle.
• Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
• Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
• Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
• Educate C-Suite-level decision-makers about the benefits of AI and enhanced computing performance.
• Handle communication with customers and NVIDIA Management.
• Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

Requirements:

• BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.
• 6+ years supporting Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
• Strong interpersonal skills and the ability to work directly with customers.
• Subject Matter Expertise (SME) in High-Performance Computing, or Networking
• Critical thinking capability, as well as concisely communicate vision (both written and verbal) and engage in cross-functional collaboration.

Preferred Qualifications:

• Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
• Experience building and/or integration artificial intelligence solutions.
• Experience with bring up and deployment of large HPC clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance.
• Experience working with enterprise developers and strong customer-facing skills.
• Active Security Clearance is highly desirable.

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The ideal candidate combines deep hands-on system-level fabric/networking architecture experience, and practical hardware-software co-design expertise.

Responsibilities:

• Architect multi-GPU system topologies for scale-up and scale-out configurations, balancing AI throughput, scalability, and resilience.

• Define, modify and evaluate future architectures for high-speed interconnects such as NVLink and Ethernet co-designed with the GPU memory system.

• Collaborate with other teams to architect RDMA-capable hardware and define transport layer optimizations for GPU-based large scale AI workload deployments.

• Use and modify system models, perform simulations and bottleneck analyses to guide design trade-offs.

• Work with GPU ASIC, compiler, library and software stack teams to enable efficient hardware-software co-design across compute, memory, and communication layers.

• Contribute to interposer, package, PCB and switch co-design for novel high-density multi-die, multi-package, multi-node rack-scale systems consisting of hundreds of GPUs.

Requirements:

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent experience.

• 8 years or more of relevant experience in system design and/or ASIC/SoC architecture for GPU, CPU or networking products.

• Deep understanding of communication interconnect protocols such as NVLink, Ethernet, InfiniBand, CXL and PCIe.

• Experience with RDMA/RoCE or InfiniBand transport offload architectures.

• Proven ability to architect multi-GPU/multi-CPU topologies, with awareness of bandwidth scaling, NUMA, memory models, coherency and resilience.

• Experience with hardware-software interaction, drivers and runtimes, and performance tuning for modern distributed computing systems.

• Strong analytical and system modeling skills (Python, SystemC, or similar).

• Excellent cross-functional collaboration skills with silicon, packaging, board, and software teams.

Preferred Qualifications:

• Background in system design for AI and HPC.

• Experience with NICs or DPU architecture and other transport offload engines.

• Expertise in chiplet interconnect architectures or multi-node fabrics and protocols for distributed computing.

• Hands-on experience with interposer or 2.5D/3D package co-design.

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Key responsibilities include:

• Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments.
• Guiding customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments.
• Becoming the primary technical driver for customers during the design, development, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle.
• Working as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
• Partnering with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
• Analyzing and debugging compute/network configuration and performance issues to deliver performant clusters.
• Preparing and delivering technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
• Educating C-Suite-level decision-makers about the benefits of AI and high-performance computing.
• Leading communication with customers and NVIDIA Management.
• Providing constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

Requirements include:

• BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.
• 6+ years supporting Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
• Experience with high performance Networking or CPU/GPU application acceleration is preferred.
• Strong interpersonal skills and a background in direct customer interaction.
• Subject Matter Expertise (SME) in High-Performance Computing, or Networking
• Critical thinking capability, the ability to concisely communicate vision (both written and verbal) and engage in cross-functional collaboration.

Preferred qualifications include:

• Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
• Experience building and/or integration artificial intelligence solutions.
• Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance.
• Experience working with enterprise developers and strong customer-facing skills.
• Active Security Clearance is highly desirable.

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We are seeking a Client Director for Global System Integrators (GSI) to lead the business relationship with a key GSI in EMEA. This role will drive the business relationship with GSIs in EMEA and help them evolve into exemplary partners for providing AI-enabled services.

Responsibilities

• Drive the business relationship with GSIs in EMEA and help them evolve into exemplary partners for providing AI-enabled services.
• Work with the leadership teams of GSIs and ensure that a clear strategy is defined to help them provide AI-enabled services.
• Devise enablement plans and help the large developer base at GSIs to enhance their skills on GPU-accelerated computing.
• Act as a bridge between GSIs and NVIDIA Solution Architects to run PoCs, help with porting platforms, and respond to RFQs.
• Define business goals, track, and report progress and work on joint GTM plans.
• Act as the bridge between the sales teams of GSIs and NVIDIA to identify top accounts for joint engagement.

Requirements

• 8+ years of demonstrated ability in a sophisticated sales or partner business management environment, with a strong technology and business acumen.
• 8+ years of working with large GSIs globally.
• High energy with effective communication and written skills with experience and flair in presenting to senior leaders and large audiences.
• Proactive, creative, flexible, and uses good judgment to accomplish tasks on schedule with minimal direction and supervision.
• Familiarity with modern computing techniques and the ability to scale up technical knowledge to serve the needs of demanding technology companies.
• Ability to connect with all team members successfully and effectively at any level.
• Enjoys working in a fast-paced environment with multiple priorities.
• Bachelor's degree or equivalent experience.

Nice to Have

• Passion for winning, a solid aptitude for business strategy, and excellent collaboration skills with a wide variety of internal team members.
• Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, ambitious, and attracted to a meaningful opportunity.
• Proven ability to work in a fast-paced environment where strong organizational skills are essential.
• AI/deep learning, high-performance computing, cloud datacenter, and/or edge computing development/deployment experience desirable.
• Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key, and critical landmarks, and deliverables with consistent track record of handling multiple customers and customer programs across worldwide geographies and time zones.

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The ideal candidate will have a technical undergraduate degree, preferably in Electrical Engineering or Computer Science, and 7+ years of experience in patent application drafting and prosecution. A J.D. degree with a record of strong academic performance and a license to practice law in California is strongly preferred. Registration to practice before the US Patent and Trademark Office is required.

We offer a competitive salary and benefits package, including eligibility for equity. If you are passionate about technology and innovation, and have a strong background in patent law, we encourage you to apply.

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Responsibilities:

• Coordinate the end-to-end materials planning management for new product introductions (NPI) from initial concept to production launch.
• Ensure material readiness to support program achievements, including production ramp-up, and full-scale manufacturing.
• Work closely with Engineering to ensure Bill of Materials (BOM) accuracy and risk-buy readiness align with program requirements.
• Proactively address material shortages, lead times, and supplier constraints to mitigate supply chain risks.
• Develop and implement materials and supply chain strategies to ensure supply readiness and support delivery objectives.
• Establish and monitor critical metrics, using digital dashboards for real-time tracking of materials readiness and supply versus demand performance.
• Collaborate cross-functionally with Planning and Business Units to drive demand analysis and long-range forecasting across NPI and high-volume production portfolios
• Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply–demand alignment, and enable predictive, insight-based decision-making

Requirements:

• B.Sc. in Industrial Engineering or related field or equivalent experience (master’s degree preferred).
• Minimum of 5+ overall years of experience in materials management, procurement, or supply chain management within a semiconductor OEM environment.
• Strong understanding of supply chain processes, NPI cycles, and material planning systems.
• Strong technical knowledge of semiconductor materials and contract manufacturing processes.
• Excellent communication, negotiation, and leadership skills.
• Strong understanding of ERP/MRP systems, tools driven by artificial intelligence, and platforms for analyzing supply chain data.
• Ability to thrive in a fast-paced, dynamic environment and effectively prioritize tasks.
• Experience with agentic AI systems in supply chain applications is preferred.

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Find Your Next Job

Follow Your Passion. Lead a Movement.

You’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots. Self-driving cars to blockbuster movies. And a growing list of new opportunities every single day. Watch this video for a glimpse at why NVIDIA is like no place you've ever worked.

Explore Life at NVIDIA

We’re an eclectic, passionate group of professionals dedicated to solving some of the world’s biggest challenges. The project is the boss,even for our CEO. We thrive on seamless collaboration and shared success while embracing diversity and individuality. Everyone contributes. Everyone belongs.

Help Us Transform Entire Industries

The breakthroughs we’re making at NVIDIA are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. Make an impact.

AI

Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.

Auto

Give cars the ability to see, think, learn, and navigate a nearly infinite range of driving scenarios for faster, safer autonomous driving.

Hardware

Join our hardware team for the opportunity to have real impact in a dynamic, technology-focused company. Our product lines range from consumer graphics to self-driving cars to the growing field of AI. We’ve built an exceptional team of people from around the globe whose mission is to push the frontiers of what’s possible and to define the platform for the future of computing.

Meet More Teams

Ready to Join Us?

Get Started Here

How We Hire

Select Location

The Americas

• Argentina

• Brasil (Brazil)

• Canada

• Chile

• Colombia

• México (Mexico)

• Peru

• United States

Europe

• België (Belgium)

• Belgique (Belgium)

• Česká Republika (Czech Republic)

• Danmark (Denmark)

• Deutschland (Germany)

• España (Spain)

• France

• Italia (Italy)

• Nederland (Netherlands)

• Norge (Norway)

• Österreich (Austria)

• Polska (Poland)

• România (Romania)

• Suomi (Finland)

• Sverige (Sweden)

• Türkiye (Turkey)

• United Kingdom

• Rest of Europe

Asia

• Australia

• 中国大陆 (Mainland China)

• India

• 日本 (Japan)

• 대한민국 (South Korea)

• Singapore

• 台灣 (Taiwan)

Middle East

• Middle East

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This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive revenue for the company. If you have a passion for how technology is driving dynamic changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Advanced Software Development, we'd like to talk with you!

Responsibilities:

• Attain a minimum of 100% Quota attainment selling to Automotive Accounts located in the United States
• Maintain and submit accurate forecasts
• Present NVIDIA solutions, overcome objections, negotiate and close business over the phone, TEAMS and in person
• Team with NVIDIA Channel, Business Development, Sales Leadership & Marketing to build your business and facilitate sales opportunities
• Experience working with Startup, Mid-Market, and/or Enterprise Customers
• Work closely with partners, OEMs, CSPs, and ecosystem partners to build and implement go-to-market plans
• Lead all aspects of the selling cycle to help customers expand revenue
• Develop excellent strategic relationships with customers to understand their software and computing needs

Requirements:

• 5+ years of sales experience with minimum of 2 of those years in an inside sales role
• 5+ years of technology quota carrying sales experience responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale)
• Understanding of NVIDIA key platform technologies: NVIDIA Enterprise Support (NVAIE), Generative AI/LLMs, Software (SDK/APIs), High Performance Computing (HPC), AI/ML workloads, Digital Twins
• Experience selling and having established relationships within the Automotive industrial vertical. Exceptional customer and channel partner relationship skills within the Automotive ecosystem
• Experience with going to market and teaming with Technology Industry Channel Partners
• Skilled at selling in a Cloud environment including working with CSP, ISV, and end-user customer
• Bachelors degree or equivalent experience
• Salesforce.com experience is required.
• Ability to travel 25%

Ways to stand out from the crowd:

• Adept at balancing intense short-term pressures with overall long-term goals
• Knowledge of ADAS and automated driving applications and technology
• Educational degree related to technology, engineering, or AI/ML
• Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way. Technical Account Manager experience
• A polished executive presence with a track record of successfully growing revenue for new innovative technology-based solutions

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This role can be remote. The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
• Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks' AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:

+ ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. + AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• Can travel up to 30% when needed

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As we scale, we are seeking a visionary Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer to join our fast-growing team. You will be instrumental in driving the rapid development of cutting-edge weapon systems by integrating and optimizing across the entire design lifecycle.

This role is for an engineer who challenges traditional silos between conceptual design, preliminary development, and detailed engineering, bringing together diverse discipline experts to form cohesive, multi-fidelity workflows.

We're looking for someone who understands that models are not just for analysis, but are critical tools for informing every stage of product development – from early design decisions to operational sustainment.

Your expertise will bridge the gap between engineering analysis, hardware, and software development, ensuring our modeling and tooling choices directly contribute to delivering mission-critical systems to our customers.

The ideal candidate possesses a strong and broad foundation in computational engineering analysis, adept at modeling both steady-state and transient phenomena.

You will integrate disciplinary models (e.g., controls, guidance, mission systems, 6DOF simulations, subsystems, manufacturing) earlier into design iterations.

Leveraging commercial MDAO frameworks, you will automate engineering workflows, pioneer advanced methods like Uncertainty Quantification (UQ), and proficiently apply cutting-edge AI tools to accelerate and optimize MDAO processes.

Experience with CAD scripting (e.g., Engineering Sketch Pad) for parameterized geometry, operational analysis codes, and a deep understanding of error and uncertainty in modeling complex systems are highly desirable.

If you are a highly skilled MDAO practitioner ready to leverage your expertise to revolutionize defense capabilities, this role is for you.

Key Responsibilities:

• Lead MDAO Initiatives: Collaborate with air-vehicle design and analysis disciplines and technical leadership across AD&S programs to define and execute critical trade studies, building robust, data-driven workflows using commercial MDAO frameworks.

• Strategic Development: Work with the AD&S Engineering Tools Lead to shape the strategic roadmap for MDAO capabilities, deploy multi-fidelity workflows across programs, and document available resources.

• Geometry Generation: Design and implement robust, parameterized, watertight, CAD-based scripted geometry models to enable multidisciplinary analysis and ensure consistent results.

• Accelerate Design Insights: Drive the earlier integration of disciplinary models into the design process, providing rich data to inform critical tradespace decisions.

• Pioneer Methodologies: Develop and apply cutting-edge MDAO methods and models to significantly increase the efficiency and effectiveness of AD&S teams.

• Apply AI to MDAO: Innovate and deploy Artificial Intelligence (AI) solutions within MDAO workflows to enhance efficiency and discovery.

• Optimize Workflows: Identify gaps, bottlenecks, and recommend solutions to continuously improve multi-fidelity workflows.

• Execute Advanced Analyses: Assemble and run automated MDAO workflows, Design of Experiments (DOE), optimizations, sensitivity analyses, and Uncertainty Quantification (UQ) for AD&S programs.

• Mentor & Guide: Direct discipline experts on efficient methods and approaches to create 'MDAO-hardened' models and tools suitable for robust multi-fidelity workflows.

• Document & Train: Develop and maintain comprehensive documentation and training materials for new and experienced technical experts utilizing MDAO technologies across AD&S.

Requirements:

• Bachelor's or higher degree from an accredited program in Engineering, Physics, Mathematics, or Computer Science.

• 5-7+ years of experience in aircraft and/or missile design and analysis.

• 3+ years of hands-on experience developing MDAO methods, demonstrating broad understanding across multiple engineering disciplines, such as: Cost, Configuration Design, Mass Properties, Lethality, Structures, Propulsion, Aerodynamics, Vehicle Performance, Thermal Management, Power Management, Systems Engineering, Survivability, Operational Analysis, Mission Systems, Avionics, Launch Systems, and GNC (Guidance, Navigation & Controls).

• Proven experience in developing and deploying MDAO workflows and toolsets.

• Expertise in applying optimization, sensitivity analysis, Uncertainty Quantification (UQ), and Design of Experiments (DOE) methods.

• Demonstrable ability to apply large language models and/or develop AI models to enhance or accelerate engineering processes and tasks with measurable efficiency improvements.

• Proficiency in higher-level scripting languages (Python, MATLAB) within a version-controlled environment (preferably Git), with exposure to compiled languages (C, C++, FORTRAN).

• Strong collaborative spirit and a desire to contribute to methods development and process workflows in a team setting.

• Exceptional written and verbal communication skills, particularly in organizing and presenting complex MDAO insights to inform stakeholders quickly and concisely.

• Ability to obtain and maintain a DoD Secret security clearance and Special Access Program (SAP) eligibility.

Preferred Qualifications:

• Advanced degree in Engineering, Physics, Mathematics, or Computer Science.

• Experience developing MDAO workflows and toolsets using commercial MDAO framework software (e.g., ModeFRONTIER/VOLTA, Siemens HEEDS, or similar environments).

• Ability to obtain and maintain a DoD Top Secret security clearance and SAP eligibility.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Strategic Finance organization provides the financial insight and guidance that support the company's long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while preserving sustainable unit economics.

About the Role

We are hiring a Director of Product Finance, Infrastructure and Compute Demand to help drive strategic decision-making across our product organization. This person will serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization and play a critical role in connecting product usage, compute demand, infrastructure costs, and margin outcomes across the portfolio.

In this role, you will:

• Serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization.

• Own the consolidated compute demand forecast, partnering closely with capacity planning and supply teams to inform compute planning and allocation decisions.

• Own forecasting for infrastructure spend across our products, including infrastructure software and other key cost drivers.

• Build and refine the financial framework that connects product usage, model behavior, inference settings, and infrastructure decisions to compute utilization, infrastructure costs, and product margins.

• Develop clear insight into the tradeoffs between customer experience, growth, and profitability, including how latency, throughput, batching, model routing, and token usage affect margin performance.

• Develop frameworks to evaluate ROI on compute and infrastructure spend across products, features, model settings, and user segments, and use those insights to inform investment and optimization decisions.

• Create a durable cross-functional forum for compute economics, bringing together product, infrastructure, capacity planning, and finance to inform allocation, utilization, and margin tradeoffs.

• Lead weekly margin reviews and monthly BvA analysis, and partner with Accounting and Corporate Finance to align internal metrics and reporting.

• Prepare high-quality materials for executive and Board-level discussions.

You might thrive in this role if you have:

• 12+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company.

• A strong ability to critically evaluate opportunities and risks in financials.

• The ability to distill complex financial data into actionable insights and effectively communicate with leadership.

• Excellent communication skills and the ability to craft compelling narratives using data.

• Attention to detail and a commitment to accuracy in financial reporting and analysis.

• Familiarity with business models and metrics relevant to OpenAI.

• Enthusiasm for technology and artificial intelligence.

• Extensively used AI.

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Key Responsibilities:

• Identify, structure, and evaluate strategic financing initiatives to fund infrastructure investments, client contracts, and continued growth.

• Build and maintain sophisticated models across equity, debt, lease, and hybrid capital solutions, including scenario and sensitivity analysis to evaluate cost of capital and strategic fit.

• Assist in all phases of transaction execution support, including due diligence coordination, valuation, documentation, preparation of investor materials, term sheet analysis, etc.

• Collaborate with internal stakeholders, including finance, legal, operations, and senior executives to ensure alignment and successful execution of deals

• Conduct in-depth analysis of capital markets trends, investor appetite, peer benchmarking, and emerging structures to inform capital strategy.

• Drive high-visibility special projects to propel the business forward.

The ideal candidate thrives in ambiguity, can independently navigate complex and unfamiliar situations, and brings a strategic mindset to problem-solving. With direct exposure to senior leadership, this role offers the opportunity to shape the capital strategy of one of the most dynamic infrastructure platforms in the AI ecosystem.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

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Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Join the team as Twilio’s next Senior Manager, Machine Learning on Twilio’s Conversation Memory team.

About the job This position is critical to leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI, specifically by owning the development of 0-to-1 platform features that empower developers to build sophisticated, context-aware customer engagement applications.

This is a highly technical, hands-on role, requiring a "player-coach" mentality to actively contribute technical expertise, bridge the gap between theoretical research and production-grade experimentation, and provide strategic direction to the team, rather than being purely a people manager. The leader in this role must demonstrate a strong bias for action, establishing a high-performing engineering setup that enables rapid iteration, experimentation, and deployment of models in this 0-to-1 setting.

Furthermore, they will be responsible for working closely with cross-functional stakeholders to translate ambiguous business problems into a clear, prioritized product roadmap and communicate progress and updates to leadership.

Responsibilities In this role, you’ll: Collaborate with other engineering teams and cross functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap for your team. Have a 'player-coach' mentality, and contribute hands-on technical expertise while providing strategic direction and mentorship to the team. Establish a high-performing engineering setup that enables the team to rapidly iterate, experiment, and deploy models, fostering a culture of operational excellence and close partnership with product and business stakeholders. Drive continuous improvement in the team's processes, tooling, and infrastructure to optimize for velocity, quality, and maintainability. Actively monitor the ML and AI landscape to ensure the team is continuously up-to-speed on state-of-the-art research, techniques, and tools, promoting their strategic adoption where appropriate. Recruit, manage, and develop a diverse and highly-skilled team of Machine Learning Engineers, setting clear goals and expectations, and providing timely and actionable feedback. Define and track key performance indicators (KPIs) to measure the impact and success of the team’s ML products, communicating results clearly to leadership and stakeholders. Manage project timelines, dependencies, and risks, ensuring timely delivery of high-quality, reliable, and scalable ML solutions.

Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

*Required: Bachelors in Computer Science, Engineering, or a related field. 10+ years of experience in Applied ML or AI, including 3+ years of either leading a team of Machine Learning Engineers or data scientists. Proven experience defining and executing a multi-year technical vision and strategy for a large-scale, complex ML platform or product. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of LLM orchestration, embedding models, and vector stores. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong background in building cloud-based services using AWS, GCP, or Azure, with experience managing high-volume data and various data stores. Experience in recruiting, hiring, and scaling high-performing Machine Learning or engineering teams. Exceptional communication and collaboration skills, with a proven ability to mentor engineers, influence product direction, and drive results across multiple teams.

Desired: A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field from a top-tier university. A track record of relevant publications at top ML conferences or significant open-source contributions. Experience working on conversational AI agents. Experience working in a geographically distributed setting.

Location This role will be remote, and based in India. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.

As a Senior Applied Scientist, you will:

• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation, and ad relevance.
• Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
• Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Proven experience in programming and data analysis skills. Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers, or LLM. 5+ years of experience in developing and deploying large-scale machine learning models. Experience working on search, recommendations, and ads modeling is a huge plus.

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Location: United States

Department: Product Management

Job Description:

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.

Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

At Airbnb, our top priority is to create safe and trusted experiences for our Hosts and guests, and ensure everyone in our global community can belong on Airbnb.

The Anti-Discrimination & Equity team is a core part of that mission–focused on identifying and mitigating potential experience gaps and advancing best practices in inclusive design across Product, Design, Machine Learning, and AI.

As a Platform Product Manager for Anti-Discrimination & Equity, you will shape the systems and capabilities that enable success for all Airbnb users.

You will design scalable, intelligent solutions that balance operational efficiency with equitable user experience.

In this role, you’ll partner closely with engineering, data science, and operations teams to deliver platform products, including cutting-edge AI/ML-powered solutions, innovative data tools, automated governance and risk assessment technologies, and adaptive solutions that evolve with new risks and advance new opportunities.

Your work will directly strengthen the trust and integrity that make Airbnb a place where anyone can belong.

The Difference You Will Make:

As a Platform Product Manager on the Defense Platform, you will define the vision, strategy, and execution for products that power safety and integrity across Airbnb.

You will partner with engineers, data scientists, designers, and operations experts to build intelligent, scalable platform solutions that identify emerging risks, prevent bad actors, and reduce friction for trusted users.

Your work will ensure our defenses are adaptive, automated, and seamlessly integrated across the Airbnb ecosystem.

A Typical Day:

• Define and deliver a compelling product vision and roadmap for Anti-Discrimination and Equity products.

• Lead a cross-functional group of engineers, data scientists, designers, operations experts, policy leaders, and product partners to drive alignment, execution, and measurable impact.

• Manage the product backlog and prioritization process, balancing business value, risk reduction, and user experience.

• Establish clear goals, metrics, and success criteria in partnership with Anti-Discrimination and Equity and cross-functional leadership.

• Communicate strategy, progress, and insights effectively to stakeholders across all levels, including senior leadership.

• Leverage data-driven experimentation and measurement frameworks to continuously improve scaled platform products and decision systems.

• Collaborate closely with teams across Tech, Global Operations, Policy, Product, Legal, Reputation, and Shared Services to ensure alignment, manage dependencies, and streamline execution.

Your Expertise:

• 8+ years of product management experience, ideally in platform, anti-discrimination & equity, trust & safety, or risk domains.

• Exceptional written and verbal communication skills with the ability to influence across diverse technical and non-technical audiences.

• Strong analytical, problem-solving, and critical-thinking skills with a strong bias toward data-informed decision-making.

• Experience driving hypothesis-based product development and iterative learning.

• Entrepreneurial mindset with the ability to thrive in a fast-paced, ambiguous environment.

• Proven success influencing without authority and driving alignment across global, cross-functional teams.

• Passion for and experience in developing technologies and products that are inclusive in nature.

• Background or experience working in anti-discrimination, equity, or inclusion is a plus.

Your Location:

This position is US - Remote Eligible.

The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

Click here for the up-to-date list of excluded states.

This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list.

If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible.

We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process.

If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level.

The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.

The base pay range is subject to change and may be modified in the future.

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $179,000-$207,000 USD

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This role is foundational to the "Ford+" plan, ensuring our vehicles,whether Internal Combustion Engine (ICE), Hybrid, or Electric (EV),meet customer needs while achieving business profitability.

Responsibilities:

• Lead the Pre-PS cadence: Coordinate weekly meetings with cross-functional teams to ensure all deliverables are "Green" for the next GPDS gate.
• Market & Competitive Intelligence: Monitor and analyze automotive industry trends, competitor product launches, and emerging technologies (e.g., ADAS, software-defined vehicles).
• Lifecycle Management: Support the planning of "Minor Changes" (facelifts) and "Major Programs" (all-new platforms) to ensure the portfolio remains fresh and competitive.
• Product Definition: Assist in defining vehicle attributes, including performance targets, dimensions, technology suites, and trim level strategies.
• Financial Analysis: Partner with Finance to evaluate the business case for new programs.
• Cross-Functional Collaboration: Act as a liaison between Engineering (to understand technical constraints), Design (to ensure brand DNA), and Marketing (to align with customer profiles).

Qualifications:

• Education: Bachelor’s degree in Business Administration, Economics, Engineering, or a related quantitative field.
• Analytical Skills: Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUPs) and Artificial intelligence domain.
• Data Tools: Experience with data visualization tools such as Tableau, Power BI, or Alteryx.
• Strategic Mindset: Ability to think 5–10 years into the future while managing the constraints of today’s manufacturing environment.
• Communication: Ability to translate complex data into a compelling narrative for diverse stakeholders.
• Customer Centricity: A passion for understanding user pain points and translating them into hardware and software solutions.
• Agility: Ability to thrive in a fast-paced environment where market conditions and technology shift rapidly.

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In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships.

Key responsibilities include:

• Developing and executing a GTM strategy for Anthropic's startup ecosystem initiatives through the Amazon/AWS partnership, including co-selling motions, enablement programs, and joint business plans

• Building and owning forecasting, pipeline development, and revenue targets for the partnership

• Cultivating and maintaining executive-level relationships across the AWS organization

• Driving strategic planning and execution of joint marketing and sales initiatives

• Designing and implementing scalable processes for partnership operations, including escalation management and performance reporting

• Providing market intelligence and competitive insights to inform product and business strategy

• Developing and executing segment-specific sales plays and enablement programs for startup audiences

• Participating in annual business reviews with key stakeholders across both organizations

• Identifying and developing opportunities to expand the scope and impact of the partnership over time

To be successful in this role, you'll need to have experience in enterprise sales, business development, or strategic partnerships, with a focus on the startup ecosystem. You should also have a demonstrated ability to build and execute co-selling or joint GTM strategies with a major cloud or technology partner.

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This role will serve as the embedded owner of the hardware financial backbone, with end-to-end responsibility for consolidated P&L reporting, forecasting and variance analysis, and the systems and processes that enable scalable, decision-ready insights. You will help ensure hardware financials are consistent, auditable, and fit for executive and board-level decision-making as the organisation scales in size, complexity, and capital intensity.

We have a strong preference for candidates who can be based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will oversee multiple areas of responsibility:

• Own end-to-end consolidated financial reporting for all hardware organisations (Io and Robotics), delivering a single, integrated P&L view across R&D, Product, COGS, and OpEx.
• Establish and run the hardware financial operating cadence, including monthly close, forecasting, reforecasting, and variance analysis, ensuring consistency and accountability across teams.
• Serve as a key finance partner to Hardware Finance leads, central FP&A, and Accounting, aligning bottoms-up plans with accounting actuals and enterprise reporting requirements.
• Build and maintain consolidated forecasting and reporting models that roll up inputs from Product Finance, COGS / Supply Chain, and R&D into a cohesive, driver-based financial view.
• Design, implement, and manage hardware financial systems, tools, and processes, driving standardisation, automation, and scalability while reducing manual effort and reconciliation risk.
• Own the hardware chart of accounts and financial structures, ensuring clarity of ownership, consistent definitions, and compatibility with accounting and enterprise systems.
• Provide executive-ready financial insights, including variance explanations, trend analysis, and forward-looking risk and opportunity signals for hardware leadership.
• Establish data governance and quality controls, defining standards, validation checks, and review processes to ensure financial outputs are trusted, repeatable, and auditable.
• Support portfolio-level decision-making by enabling consistent comparisons across hardware programmes and organisations, improving transparency and alignment in resource allocation discussions.
• Contribute to the development and scaling of the hardware finance infrastructure, evolving systems, reporting, and processes to support continued growth without adding friction.

You might thrive in this role if you have:

• 8+ years of progressive finance experience with significant exposure to hardware, manufacturing, or complex supply chain businesses
• A passion for helping build world-class finance teams and driving business and financial outcomes, as measured on margin improvement, working capital efficiency, forecast accuracy, and execution of cost-reduction initiatives
• A strong ability to critically evaluate opportunities and risks
• Expert modelling skills with best-in-class attention to detail and unwavering commitment to accuracy
• Exemplary ability to distil complex financial information into actionable insights
• Excellent communication skills and ‘story telling’ ability when presenting data insights
• Strong enthusiasm for building the human-computer interface for the AI era.

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locations Korea, Seoul Korea, Remote

Time Type Full time

Posted On Posted Today

Job Requisition ID JR2017800

Join NVIDIA on an exhilarating journey as a Senior Software Program Manager to join our collaborative and fast-paced customer interfacing automotive software organization. In this role, you will be supporting our Korean partners closely to integrate, adapt and test our NVIDIA DRIVE Software solutions, including DRIVE OS, NDAS and Alpamayo.

As a Senior Automotive Software Program Manager, you will lead the lifecycle of NVIDIA's DRIVE programs with our Korean automotive partners. You will align on timelines and contents for SW deliveries, including those of NVIDIA's DRIVE OS, NDAS and Alpamayo software stacks. You will also coordinate with cross-functional teams in South Korea, India, China, and the U.S. to resolve program issues and drive product launches.

Responsibilities

• Lead the lifecycle of NVIDIA's DRIVE programs with our Korean automotive partners
• Align on timelines and contents for SW deliveries, including those of NVIDIA's DRIVE OS, NDAS and Alpamayo software stacks
• Coordinate with cross-functional teams in South Korea, India, China, and the U.S. to resolve program issues and drive product launches
• Act as the first point of contact and first level of escalation for our automotive partners and internal senior leadership, providing updates and bringing management focus on important issues
• Align on program vehicle and system level requirements, coordinate the review, exchange, and negotiation of them
• Work closely with internal software groups to understand the design and implementation

Requirements

• General knowledge about Artificial Intelligence, LLMs, Transformers, CPU/GPU architectures, etc.
• General knowledge of program management concepts (task planning, agile methodologies, risk management, etc.)
• Degree from a leading university or equivalent experience in an engineering or computer science related field (BS; MS or PhD)
• 6+ years of work experience in automotive software development. Preferably on ADAS and AV
• Understanding of autonomous vehicle systems, sensor technologies, vehicle bus communication standards, SoCs and embedded software principles
• General knowledge of C/C++/Python, QNX and/or Linux OS
• Understanding of build pipelines, repositories, CI/CD, containerization, etc.
• Proven experience of having led complex automotive programs to series production
• Excellent communication and organization skills, good time management, and task prioritization

Preferred Qualifications

• Experience with Automotive SPICE, ISO26262, 21448 standards
• Hands-on experience developing complex embedded C++ based systems
• Fluency in Korean
• A wide existing network of contacts in the local automotive ADAS and AV industry

What We Offer

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and proactive, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.

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We are a multidisciplinary team of researchers, designers, product managers, program managers, and prototypers who believe that AI can create a better world, but only when it’s designed for people first.

As a User Researcher Contractor, you will help define the next frontier of Generative AI by exploring 0 → 1 breakthrough experiences and demonstrating them to executives throughout Google.

Success in this position requires seamless collaboration with multidisciplinary, cross-functional, internal and external teams to ensure deep insights are directly steering our exploration strategy.

Responsibilities:

Partner closely with multidisciplinary team members within the Inception team and beyond

Identify research questions to best provide strategic guidance

Design, lead and execute research studies. Be flexible in methodology, from foundational to experimental to evaluative.

Stay on the vanguard of AI products through daily tool use, experimentation, and exploration. Consistently cultivate an informed POV on how technical capabilities will line up with user needs

Continue to maintain strong and informed opinions about the state of AI technology in the relevant exploration space

Take personal ownership of big ideas and drive them forward - hold the vision throughout, think big and be an "architect of the possible". Rapidly and playfully explore and iterate on ideas.

Provide actionable insights that directly influence product strategy

You could be a great match if…

You are passionate about a balance of foundational and evaluative research and the AI product landscape.

You get excited when learning about new topic areas, surfacing assumptions and exploring how to create new value for users through research and building.

We are looking for a UX researcher who’s well-grounded in established research methodologies and techniques, yet nimble and experimental.

We’re looking for people with a creative, fresh approach to understanding, socializing and helping small exploration pods take action on insights.

Additional Responsibilities

The AIUX Team is cross functional and consists of Designers, UX Program Managers, Engineers, Product Managers, Researchers, and more.

We care deeply about operational excellence and are continuously considering opportunities to iterate and improve in order to deliver outsized value to Google Deepmind.

As many of our projects are early stage with small scrappy teams.

We’re looking for candidates who can wear multiple hats on fast moving explorations.

Past experience in other domains is always a plus: marketing, data science, GTM planning, operations and beyond.

Minimum Qualifications

Background in Computer Science, Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related field (in lieu of degree, 4 years relevant work experience).

Experience with research design - utilizing various methods including but not limited to in-depth-interviews, concept research, field research, usability studies, and surveys.

Passion for using AI to benefit humanity everywhere in the world, including communities currently underserved by technology.

Strong communication skills with the ability to listen, articulate positions succinctly, and advocate for both research & design.

A collaborative mindset - our team of researchers share works-in-progress and that is a core value.

Demonstrated experience impacting product strategy.

Experience in with the latest AI tools and models.

Basic understanding of, and experience with, Artificial Intelligence and Machine Learning technologies.

A penchant for speed, and comfort with imperfect but directional insights.

Preferred Qualifications

Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable.

Experience working with agencies or directing other research groups to craft and direct field research.

Experience conducting global market research.

Ability to create powerful research outputs used to inspire and influence stakeholders (e.g., multimedia stories, video editing).

Experience on innovation teams or other demonstrated instances of pathfinding and experimenting with what’s possible - charting the course when there is no map, rapidly framing novel problems and sketching the foundational solutions.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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Key Responsibilities:

• Engage retail industry customers to develop a deep understanding of their goals, strategies, and technical and business needs – and help to define and deliver high-value solutions that meet these needs within the French region.

• Quantify the market opportunity, craft a strategy, define initiatives and outcomes, and orchestrate resources to achieve those outcomes. You must have the ability to analyze and segment market opportunities and develop strategic business plans around them.

• Strategically partner with lighthouse customers and industry-specific application and other solution partners targeting our computing platform.

• Be main central point for retail ecosystem within the DACH region.

• Build partner and customer references and case studies.

• Watch for and develop emerging use cases to help cultivate new vertical opportunities.

Requirements:

• Bachelor’s degree or equivalent experience from a leading University, Master’s/MBA

• 6+ years or meaningful work experience within the retail sector.

• Deep knowledge and extensive experience of retail industry business development, and driving adoption and growth of a technology-based solutions

• Leverage success to foster community marketing & business development. Communicate and complete success stories working with campaign, corporate, & partner marketing teams

• Attend retail industry events to represent NVIDIA and recruit and engage the ecosystem in the DACH region.

• Strong account management and partnership experience and skills

• Excellent written, verbal and presentation communication skills are a crucial requirement. Candidates must work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers

• Comprehensive knowledge of retail applications, datacenter servers, cloud services, and embedded and in-store devices.

Nice to Have:

• Passion for ecosystem development

• Machine learning, data analytics, and artificial intelligence experience preferred

• Innovative and creative flair, yet able to follow operational process difficulty

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Google Deepmind's Inception AIUX team is seeking a User Researcher Contractor for our London offices. In this role, you will help define the next frontier of Generative AI by exploring 0 → 1 breakthrough experiences and demonstrating them to executives throughout Google.

We are a multidisciplinary team of researchers, designers, product managers, program managers, and prototypers who believe that AI can create a better world, but only when it’s designed for people first.

Success in this position requires seamless collaboration with multidisciplinary, cross-functional, internal and external teams to ensure deep insights are directly steering our exploration strategy.

You will be responsible for UXR activities like scoping strategic learning programs, helping the team meet exploration milestones, and helping to define and embody the culture of AIUX.

Job Responsibilities

• Partner closely with multidisciplinary team members within the Inception team and beyond
• Identify research questions to best provide strategic guidance
• Honestly assess what is valuable for breakthrough experiences and what may not be
• Design, lead and execute research studies. Be flexible in methodology, from foundational to experimental to evaluative.
• Stay on the vanguard of AI products through daily tool use, experimentation, and exploration. Consistently cultivate an informed POV on how technical capabilities will line up with user needs
• Continue to maintain strong and informed opinions about the state of AI technology in the relevant exploration space
• Take personal ownership of big ideas and drive them forward - hold the vision throughout, think big and be an "architect of the possible".
• Rapidly and playfully explore and iterate on ideas.
• Provide actionable insights that directly influence product strategy

You could be a great match if...

You are passionate about a balance of foundational and evaluative research and the AI product landscape. You get excited when learning about new topic areas, surfacing assumptions and exploring how to create new value for users through research and building.

We are looking for a UX researcher who’s well-grounded in established research methodologies and techniques, yet nimble and experimental. We’re looking for people with a creative, fresh approach to understanding, socializing and helping small exploration pods take action on insights.

As a UXR in AIUX, you enable 0 to 1 product development. Your work will be instrumental in transforming ideas into early prototype experiences by helping teams define their Minimum Lovable Product and refine their product strategy.

This is a highly ambiguous space, so we need someone who is comfortable working within an environment that is rapidly evolving.

We are looking for someone with a deep curiosity in understanding and playing with new technologies, who is motivated to create what’s next.

You are someone who creates momentum by pushing past abstraction,you find yourself exploring and building prototypes/experiences/hypotheses early, iterating quickly, and validating user needs.

Additional Responsibilities

The AIUX Team is cross functional and consists of Designers, UX Program Managers, Engineers, Product Managers, Researchers, and more. We care deeply about operational excellence and are continuously considering opportunities to iterate and improve in order to deliver outsized value to Google Deepmind.

As many of our projects are early stage with small scrappy teams. We’re looking for candidates who can wear multiple hats on fast moving explorations.

Past experience in other domains is always a plus: marketing, data science, GTM planning, operations and beyond.

Minimum Qualifications

• Background in Computer Science, Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related field (in lieu of degree, 4 years relevant work experience).
• Experience with research design - utilizing various methods including but not limited to in-depth-interviews, concept research, field research, usability studies, and surveys.
• Passion for using AI to benefit humanity everywhere in the world, including communities currently underserved by technology.
• Strong communication skills with the ability to listen, articulate positions succinctly, and advocate for both research & design sperma collaborative mindset - our team of researchers share works-in-progress and that is a core value.
• Demonstrated experience impacting product strategy.
• Experience in with the latest AI tools and models.
• Basic understanding of, and experience with, Artificial Intelligence and Machine Learning technologies.
• A penchant for speed, and comfort with imperfect but directional insights.

Preferred Qualifications

Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable:

• Experience working with agencies or directing other research groups to craft and direct field research.
• Experience conducting global market research.
• Ability to create powerful research outputs used to inspire and influence stakeholders (e.g., multimedia stories, video editing).
• Experience on innovation teams or other demonstrated instances of pathfinding and experimenting with what’s possible - charting the course when there is no map, rapidly framing novel problems and sketching the foundational solutions.

Equal Employment Opportunity

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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The ideal candidate will have a solid background in value selling, technical account management, and technical leadership. You will need to be technical and understand the relevance and application of machine learning and artificial intelligence within various use cases important to our target retail accounts.

Your responsibilities will include:

Developing and implementing account technical strategies in partnership with Account Executives Building technical champions within the account to influence key technical decisions Influencing stakeholders at all levels through complex engagements with the wider cloud ecosystem and third-party applications Being a champion for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform Contributing to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups

If you have 8+ years of customer-facing technical experience working in large enterprise customers, preferably in a pre-sales capacity, and possess deep technical expertise in key areas such as big data, data science, data engineering, data warehousing, and cloud technologies, we encourage you to apply.

You will also need to have hands-on expertise with complex proofs-of-concept and public cloud platforms, experience in a core programming language (such as Python, Java, or Scala), and the ability to architect complex technical solutions for specialized customer needs.

Nice to have: Databricks Certification

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is $180,000 - $247,500 USD per year, depending on location and experience.

About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please visit our website.

Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities: Advance the recommendation & ranking stack. Architect and productionize large-scale DNN/LLM-enhanced recommenders (representation learning, sequence modeling, retrieval/ranking, slate optimization), balancing user satisfaction, content quality, and business goals. Deepen user & content understanding. Gather and analyze user signals from diverse sources to gain a thorough understanding of user behaviors and utilize ML/AI techniques to interpret and predict user needs and preferences. Scale E2E ML/AI systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of Discover's AI platform. Drive innovation in AI-forward products. Collaborate with product, science and engineering team closely to innovate in AI-forward products, including agentic content feed experience with hyper personalized AI-generated content and generative UI. Mentor & influence. Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge-sharing; uplevel peers through design reviews, deep-dives, and principled decision-making. Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.

Qualifications: Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 6+ years of industry experience on applied AI/ML for web scale products. Having publications at top AI/ML conferences (e.g., KDD, SIGIR, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.). Demonstrated capability to grow the business through the innovation of ML algorithms. Experience in Software Engineering and familiar with ML Infra.

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Responsibilities:

• Architect, develop, and deploy end-to-end agentic full-stack GenAI applications that solve complex real-world problems, with a specific focus on improving engineering challenges and inefficiencies.
• Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and maintenance of AI solutions.
• Lead the integration of new cloud technologies and AI tools (e.g., Vertex AI) into our workflows, continuously evaluating their potential and articulating their business value to drive innovation and efficiency.
• Develop intuitive and responsive front-end user interfaces that enable seamless interaction with agentic AI systems and effectively translate complex outputs into actionable insights.
• Acquire a deep understanding of vehicle engineering problems, translating them into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation).
• Ensure the overall quality and integrity of data and solutions throughout the development lifecycle, from data collection and cleaning to model deployment

Qualifications:

• Bachelor's degree in Computer Science & Engineering, related field or equivalent combination of relevant education and experience
• 3+ years of experience building full-stack applications in production environments, with proficiency in Data Science, JavaScript/TypeScript, React, HTML and backend frameworks including Next.js, Node.js, Python, or Go
• 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL) and building scalable API services using frameworks such as Flask or FastAPI
• 2+ year experience deploying and maintaining applications in cloud-native environments (e.g., AWS, Azure, GCP)
• 2+ years of hands-on experience designing and building agentic workflows using modern AI frameworks and platforms, specifically LangChain, LangGraph, Google Agent Development Kit (ADK), and Google Vertex AI
• Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
• Experience implementing AI Evaluation frameworks (e.g., RAGEval) to systematically measure, benchmark, and ensure the quality, safety, and relevance of LLM outputs in production
• 2+ year experience working with DevOps tools (Docker, Kubernetes, Terraform, etc.)
• Leveraging and integrating GCP cloud-based AI tools like Vertex AI into production systems
• A strong passion for evaluating, championing, and integrating new technologies and tools, particularly within GCP, into existing workflows, with the ability to clearly articulate and justify their business value and impact
• Exceptional collaboration skills, with the ability to effectively interface between technical development teams and business stakeholders, understanding and navigating both IT and business constraints
• Comfortable working in ambiguous environments where problems are not always well-defined, and solutions require innovative thinking

Even better, you may have:

• Master's degree in Computer Science & Engineering, related field or equivalent combination of relevant education and experience
• 5+ years of Python development experience, specifically for:

Advanced data manipulation and analysis using libraries such as Pandas. 3+ years of experience in Machine Learning model development, including Natural Language Processing (NLP), utilizing deep learning frameworks (PyTorch, TensorFlow, Keras), and leveraging open-source model ecosystems like Hugging Face

• 3+ years of hands-on experience developing and deploying solutions on major cloud platforms, including Google Cloud Platform (GCP) or Amazon Web Services (AWS).
• Advanced experience with LLMOps, MLOps, and AIOps, including managing the end-to-end lifecycle, continuous evaluation, fine-tuning, and monitoring of Large Language Models in enterprise environments
• 3+ years of Front-End Development experience using modern web technologies like React, JavaScript, and HTML, to build intuitive user interfaces for AI applications.
• Experience with AIOps, MLops would be beneficial
• Domain experience in the automotive industry, specifically applying AI/ML to solve complex vehicle engineering challenges, connected vehicle data, autonomous systems, or manufacturing

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Salary:

This position is a range of salary grades 6-8 and ranges from $74,300-$166,200.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

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Guide Zemax R&D teams in Canada, USA, and the UK to deliver features and modernize the platform. Set and drive department goals, balancing delivery on the product charter with codebase maintenance and continuous improvement in developer productivity. Oversee delivery of next-gen features that keep Zemax leading in optics simulation. Drive modernization initiatives for Zemax, evolving legacy code and architecture to support next-generation features and scale. Champion Agile software development practices, providing oversight on implementation and adapting processes where needed. Work closely with Product Management to build, prioritize, and communicate the roadmap. Present product direction, progress, and vision to Customer Advisory Boards, Technical Review Meetings, and executive stakeholders. Oversee resource allocation, staffing, and compensation planning for your teams, ensuring you have the right mix of skills and experience to deliver.

Move Zemax forward with new features and a modern codebase. Drive growth for a world-renowned product essential to optical designers. Reduce technical debt and speed up release cycles. Shape a collaborative, high-performing global team. Raise Zemax's reputation with customers and leadership.

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Key responsibilities include:

• Understanding China's researcher and developer communities, analyzing technical requirements, and identifying needle-moving projects.
• Bridging NVIDIA tools with communities' requirements, promoting NVIDIA tools, libraries, and SDKs with China's researcher and developer communities, ISV, and service providers.
• Deeply understanding AI storage software ecosystem and related acceleration and AI approaches.
• Discovering new workflows, identifying blockers to ISV adoption, and reporting back to the product teams.
• Driving early adoption of new products and supporting launch and go-to-market activities.

The successful candidate will have a BS, MS, or PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science, and 5+ years of work-related experience in technical leadership roles and architecting GPU-accelerated computing solutions.

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