Requirements:

• B.S., M.S. or Ph.D. in Electrical Engineering, Computer Science, or Physical Sciences
• 10+ years of experience in semiconductor field, with a focus on computational lithography
• Experience with Python, Scripting languages, and HPC technologies
• Strong communication and teamwork skills
• Experience in troubleshooting and debugging production-related issues

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.

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Qualifications: Required brands include a Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, combined with 4+ years of relevant experience, or a Master's degree in the same field, combined with 3+ years of relevant experience. A Doctorate in the same field, combined with 1+ year of relevant experience, is also acceptable. Preferred qualifications include a Master's degree in the same field, combined with 6+ years of relevant experience, or a Doctorate in the same field, combined with 3+ years of relevant experience.

3+ years of experience conducting research as part of a research program, in either academic or industry settings, is also preferred. Additionally, 1+ year of experience developing and deploying live production systems, as part of a product team, is desirable.

Experience with developing graph-based identity models to perform cross-device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs is also preferred.

#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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This Principal Customer Solutions Engineering role sits at the intersection of Ad Tech, platform configuration, strategic operations, data analytics, experimentation, and partner advocacy. You will own the technical execution of our First-party supply along with First-Party and Third-Party demand integrations on our Microsoft Monetize and Advertising platforms,working hands on with inventory setup, OpenRTB specifications, troubleshooting delivery and reporting issues, and partnering closely with internal product, engineering, and business stakeholders to drive monetization outcomes.

We are looking for a technically curious, highly strategic operations manager, passionate in data-driven decision-making, detail-oriented problem solver who enjoys working directly on ad platforms, untangling complex supply configurations, and helping partners succeed at scale.

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:

Own the end-to-end strategy, technical architecture, and operational health of first-party supply and demand integrations across the Microsoft Monetize platform, spanning display, native, and video, with accountability for scale, performance, and long-term marketplace sustainability.

Set the technical and operational strategy for supply configuration and policy enforcement, defining standards for publisher setup, inventory packaging, demand eligibility, and governance to ensure consistency, quality, and monetization efficiency at scale.

Lead onboarding and lifecycle management for first- and third-party demand and supply partners, establishing integration requirements, certification criteria, and quality bars across OpenRTB, creative compliance, and auction behavior to protect marketplace integrity.

Serve as the senior escalation point for complex monetization, delivery, and reporting issues, driving root-cause analysis across configuration, bid traffic, and marketplace dynamics, and influencing platform or policy changes where systemic gaps exist.

Partner deeply with senior stakeholders across Microsoft Advertising, Gaming, MSN, Outlook, and Sales to translate business priorities into platform strategy, ensuring technical execution aligns with revenue goals, publisher experience, and long-term monetization roadmaps.

Define and drive scalable operating models for supply management, providing strategic guidance, documentation, and frameworks that enable teams and partners to execute consistently while reducing operational friction and dependency on bespoke support.

Identify and lead cross-platform operational improvements, surfacing structural gaps, influencing product and engineering roadmaps, and establishing best practices for first-party monetization and supply optimization.

Leverage data, experimentation, and marketplace insights to shape strategy, analyzing supply performance, delivery trends, and monetization outcomes to inform configuration standards, prioritization decisions, and investment tradeoffs.

Drive program leadership across complex, cross-functional initiatives, setting vision and success metrics, aligning stakeholders, managing dependencies, and ensuring disciplined execution across 1P supply and monetization workstreams.

Qualifications:

Required Qualifications:

Bachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 6+ years experience in technical program/product management, coding, software development/delivery work OR equivalent experience.

4+ years of customer-facing experience.

Preferred Qualifications:

Bachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 12+ years experience in technical program/product management, coding, software development/delivery work or internship experience OR equivalent experience.

4+ years of customer-facing experience.

5+ year(s) experience managing cross-functional and/or cross-team projects.

5+ years working in web analytics, big data, data science, preferably with ads platform and experimentation technologies.

3+ years experience in programming languages such as C, C#, C++, ASP.NET, Javascript.

5+ years experience in database querying using SQL.

5+ years experience with data analytics tools like R, Python, Excel, Tableau, SAS, or similar applications.

5+ years working in Ad Tech OR equivalent experience.

Data driven and problem solving skills.

Ad Tech fundamentals.

Core Competencies and problem solving qualities.

Technical publisher set-up and priorities.

Real world discussion re: performance challenges.

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Responsibilities: Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data. Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data. Address quality and trust challenges such as hallucination risk, stale data, and recommendation reliability. Define evaluation frameworks and experimentation strategies for conversational and proactive shopping scenarios, including offline metrics and online experiments. Partner closely with product, engineering, and design teams to translate models into low-latency, reliable Copilot experiences. Provide technical leadership for applied science within Copilot Shopping through design reviews, mentoring, and setting quality standards. Contribute to model governance and Responsible AI practices to ensure trustworthy and compliant systems.

Qualifications: Bachelor’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 Master’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 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.

Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models. Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL). Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows. Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights. LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

#MicrosoftAI #copilot #shopping

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As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities.

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: Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. Review business requirements and incorporate research to meet business goals. Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

Qualifications: Required 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. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.

#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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Nearly a billion users visit Bing.com worldwide monthly, and we have a large opportunity to grow further, especially with the introduction of AI-based features. At Bing, we celebrate our data-driven culture: changes only ship when their impact is understood and positive.

As a Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping the growth of the Bing product. You will have the opportunity to work not only with the Bing product team focused on growth but with many critical partner teams across Microsoft.

Responsibilities:

• Develop highly accurate forecast models powering insights for business and product risks and opportunities.
• Work closely with partners across the product, finance, and ads to align on business goals and progress.
• Drive deep understanding and optics around top-level business metrics and levers for growth and risk.
• Drive impact analysis for features critical to agile course correction and business investments.
• Define and track key org-level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals.

Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results스의
• Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

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This role will focus on building and enhancing intraday risk, trade, and portfolio management solutions used by portfolio managers, business management, and risk teams.

The ideal candidate is a strong backend engineer with experience designing and delivering scalable, production-grade distributed systems in a fast-paced environment.

You should be comfortable working closely with both technical and business stakeholders, and motivated by delivering timely, high-impact solutions.

Key Responsibilities:

Partner with portfolio managers, business management, and risk teams to design and deliver intraday risk, trade, and portfolio management solutions.

Architect and develop enterprise-scale data ingestion and distribution frameworks.

Collaborate with project managers and senior leadership to gather analytical requirements, track delivery, and manage stakeholder expectations.

Maintain, support, and continuously enhance existing platforms as business needs evolve.

Contribute to a high-performance engineering culture by delivering robust, timely solutions for portfolio and risk management users across the firm.

Required Skills & Experience:

Strong software development experience building microservices-based systems in a production environment.

Strong knowledge of object-oriented programming, distributed systems, and software design principles.

Excellent backend engineering skills in at least one enterprise-grade language: Python, Java, or Rust.

Experience with AWS, GCP, or another public cloud platform.

Bachelor’s or Master’s degree in Computer Science or another scientific/technical discipline.

Ability to work independently in a fast-paced environment and collaborate effectively with globally distributed teams across multiple time zones.

Exposure to TypeScript and front-end development with Angular or React is beneficial, but not essential.

Strong analytical, problem-solving, and communication skills.

Highly organized, detail-oriented, and able to demonstrate strong ownership and accountability.

Preferred Skills & Experience:

Experience with Kubernetes and containerization technologies such as Docker or Podman.

Experience building real-time, event-driven, or event-sourced systems.

Proven track record of successfully delivering large-scale integration projects.

Experience with technologies such as Kafka, in-memory data grids (IMDGs), and data warehousing frameworks.

Knowledge of financial markets, including one or more of rates, credit, commodities, or equities.

Exposure to financial mathematics, quantitative modelling, and/or statistics.

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Brilliant is creating a world of better problem solvers. We deliver learning that's interactive, adaptive, and fun - at scale.

We have always prioritized building a real, healthy business. We serve hundreds of thousands of paid subscribers, and want you to help us serve millions.

The Role

CS Learning Designers at Brilliant design interactive learning games to teach programming and algorithmic thinking. We’re hiring exceptional learning designers who can teach computer science concepts creatively using Python, as well as brainstorm new interactive experiences that bring the principles of algorithm design to life.

Responsibilities

• Develop hands-on programming courses to teach CS concepts using Brilliant’s Python learning game.
• Design new learning games , visual, puzzle-driven experiences that teach foundational principles in algorithms, data structures, and computational thinking.
• Decompose complex computer science ideas (e.g., recursion, backtracking, dynamic programming) into approachable, well-sequenced steps that empower learners to reason from first principles.
• Design content that is clear, creative, and intuitive , using interactivity to help learners build confidence and mastery.
• Build immersive, interactive learning experiences that guide learners along problem-solving journeys.
• Collaborate with product, design, and engineering teams to imagine and create new interactive features, visuals, and mechanics that elevate the learning experience on both computers and phones.

You

• Have an undergraduate degree or above in a STEM field, and you’ve developed a strong grounding through research or teaching that extends beyond traditional curricula.
• You have used AI agents extensively for coding, and have an opinionated stance on what core concepts are important to teach in the world of agentic coding.
• Have a knack for teaching complex topics using a progression of clear, simple, hands-on steps.
• You have experience with building or using interactivity to motivate, engage, and challenge learners, including in asynchronous contexts.
• Have a way with words, especially when communicating challenging concepts, and your writing skills (in English) are top notch.
• Are great at context switching and prioritizing among a large workload.
• Have an openness to change and a willingness to experiment with formats and platforms.
• Are not afraid to jump into any aspect of a project to fill a vacuum, no matter how big or small.

Additional Information

Compensation and Benefits

We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location!

Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills.

We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees. We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices.

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Founded in 2010 by the original creators of the Call of Duty Franchise, Respawn was created with the philosophy that when talented people have creative freedom, they’ll make extraordinary games that achieve the unexpected. From our roots as an indie studio to joining the expansive roster of studios at Electronic Arts, this remains our guiding principle. We truly love what we do and want to share our passion with players worldwide.

Our shipped titles include critically acclaimed multi-platform games Apex Legends, Titanfall, Titanfall 2, Star Wars™ Jedi: Fallen Order,  Star Wars™ Jedi: Survivor, and Medal of Honor: Above and Beyond.

Join us for the opportunity to create groundbreaking games with some of the best developer talent in the industry.

We’re looking for a passionate Senior Technical Gameplay Designer who will embrace our philosophy and work with design leadership, artists, code, and other departments to help us create an incredible experience for our players. This position is open to remote candidates.

Key responsibilities include:

Using Unreal Motion Graphics (UMG) to implement complex UI screens. Building out platform-specific features and systems like unique mouse interactions for PC. Supporting large systems like player-facing input remapping and controls presets. Working with engineering to configure hardware-specific defaults and overrides for settings. Solving complicated technical problems and designing smart solutions in an efficient manner that does not compromise on player experience. Shipping bug-free, highly polished experiences that push the industry standard for AAA quality.

Ideal candidate will have:

7+ years’ experience in the games industry working as a designer, shipping at least two titles. Expert-level understanding of Unreal Engine 5 including its tools and systems such as UMG, the input stack, save data and more. A deep understanding of current PC gaming trends and the Jedi franchise. Experience with text-based scripting, visual scripting, and/or programming languages. Computer Science or related degree. A team player-mindset, understanding the importance of collaboration, and able to communicate effectively with all disciplines and departments. A positive, solution-oriented attitude and passion about the play experience, with a wealth of knowledge across a wide range of games. C++ proficiency is a bonus.

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$295K – $445K • Offers Equity

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

Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm.

About the Role

We are seeking a Senior Researcher who is passionate about red-teaming and AI safety. In this role you will design and execute cutting-edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail,and how to fix them. Your insights will directly influence OpenAI’s product launches and long-term safety roadmap.

In this role, you will

• Design and implement worst-case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.

• Develop adversarial and system-level evaluations grounded in those demonstrations, driving adoption across OpenAI.

• Create automated tools and infrastructure to scale automated red-teaming and stress testing.

• Conduct research on failure modes of alignment techniques and propose improvements.

• Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk.

• Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.

• Mentor engineers and researchers, fostering a culture of rigorous, impact-oriented safety work.

You might thrive in this role if you

• Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.

• Have 4+ years of experience in AI red-teaming, security research, adversarial ML, or related safety fields.

• Possess a strong research track record,publications, open-source projects, or high-impact internal work,demonstrating creativity in uncovering and exploiting system weaknesses.

• Are fluent in modern ML / AI techniques and comfortable hacking on large-scale codebases and evaluation infrastructure.

• Communicate clearly with both technical and non-technical audiences, translating complex findings into actionable recommendations.

• Enjoy collaboration and can drive cross-functional projects that span research, engineering, and policy.

• Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required).

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.

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In this role, you will design and build models and ML pipelines for user and conversation understanding , helping Copilot better interpret user intent, extract meaning from conversations, and deliver more relevant, personalized experiences. You will work across the full model lifecycle, from data preparation and training to evaluation and production deployment.

Responsibilities:

• Build and Deploy Models: Design, train, evaluate, and deploy machine learning models for natural language understanding tasks including intent detection, topic classification, conversation summarization, and user personas.
• Design ML Pipelines: Architect scalable, production-grade training and inference pipelines using Spark, Databricks, Azure ML and modern ML frameworks.
• NLP and Representation Learning: Develop and fine-tune transformer-based models and text encoders; build and maintain embedding pipelines and vector databases for semantic search and retrieval.
• Experimentation and Evaluation: Drive rigorous offline and online experimentation to measure model quality, iterate on architectures, and improve key product metrics.
• Collaborate Across Teams: Partner with data engineers, data scientists, and product teams to translate research insights into shipped features and align model outputs with product goals.
• Show Ownership Mindset: Proactively monitor model performance in production, diagnose regressions, and address scalability and reliability challenges before they become bottlenecks.
• Contribute Strategically: Identify opportunities to improve model architectures, training methodologies, and evaluation frameworks; mentor others on ML best practices.

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.
• Proven experience in NLP, including experience with modern transformer architectures for tasks such as classification, encoding, summarization, and semantic search.
• Experience with text embedding models, vector databases, and retrieval-augmented generation (RAG) patterns.
• Familiarity with distributed training, model optimization, and serving ML models at scale.
• Experience with search ranking, relevance modeling, or information retrieval systems.
• Proficiency in Python and ML frameworks such as PyTorch, Hugging Face Transformers, or similar.
• Experience working with data platforms (e.g., Spark, Databricks, Azure ML) and building end-to-end ML pipelines from data ingestion through model deployment.

Experience Level: senior Employment Type: full-time Workplace Type: onsite Category: Engineering Industry: Technology Salary Range: $119,800 - $234,700 per year Salary Min: 119800 Salary Max: 234700 Salary Currency: USD Salary Period: year Required Skills: ["Statistics", "Econometrics", "Computer Science", "Electrical or Computer Engineering", "NLP", "Transformer-based models", "Text encoders", "Embedding pipelines", "Vector databases", "Semantic search", "Distributed training", "Model optimization", "Serving ML models", "Search ranking", "Relevance modeling", "Information retrieval systems", "Python", "PyTorch", "Hugging Face Transformers"] Preferred Skills: []

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Our vision is to enable billions of users worldwide to discover meaningful content and engage in conversations with friends, family, and colleagues. With nearly 1 billion monthly active users on Windows, and hundreds of millions more across Outlook, Teams, Edge, and Bing,as well as solid third-party partnerships,this role offers a unique opportunity to drive impactful, large-scale user engagement globally.

We are looking for a leader who can combine deep expertise in LLMs and NLP with proven experience in people leadership. This role is ideal for someone who wants to guide teams building state-of-the-art AI systems, influence product direction, and deliver scalable solutions that improve how users discover and interact with content across Microsoft platforms.

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:

Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent across Applied Science and engineering.

Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation.

Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration.

Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production.

Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact.

Champion innovation in AIGC applications, ranking, and recommendation algorithms.

Mentor and elevate the team, fostering a culture of technical excellence, collaboration, and continuous learning.

Communicate progress, insights, and strategy to senior leadership and stakeholders.

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.

3+ years of people management 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.

8+ years of industry experience in software engineering and/or machine learning, with prior experience leading teams or technical leadership roles.

Solid hands-on background in machine learning, including LLMs, NLP, or recommendation systems.

Proven track record of delivering large-scale, production-grade ML systems.

Experience leading or owning critical projects in recommendation systems or AIGC scenarios.

Proficiency in programming languages such as C/C++, C#, Java, and/or Python.

Demonstrated experience managing and growing ML teams, including performance management and career development.

Solid expertise in deep learning frameworks such as TensorFlow or PyTorch.

Experience with LLM fine-tuning, evaluation, and real-world product deployment.

Experience leading projects through full product lifecycle, from concept to launch and iteration.

Background in distributed systems and large-scale data processing.

Solid foundation in data structures, algorithms, and system design.

Experience with large-scale data analytics tools such as Spark.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Hardware Asset Management Intern, you will be a key member of the IT Asset Management team supporting employee hardware operations for North America. You will primarily focus on completing a critical audit to ensure the integrity and compliance of our IT asset inventory, and automating our end-to-end processes.

Role Responsibilities:

• Lead the effort to clear up an asset logistics audit, primarily focused on reconciling inventory and ensuring accuracy for all IT hardware.
• Track and manage the lifecycle of IT equipment, from deployment and end-user assignment to retirement, ensuring accurate records in the asset management system.
• Assess the end-to-end flow and find areas to automate the processes between systems.
• By the end of your internship, the expected deliverable will be a new process flow that ensures a complete chain of custody of assets from point of order to point of retirement through our systems in an automated fashion.

Examples of desirable skills, knowledge and experience:

• Currently pursuing a degree or program in Information Technology, Computer Science, or a relevant technical field.
• Strong organizational and analytical skills with meticulous attention to detail for inventory management and auditing tasks.
• Basic knowledge of API integration frameworks and how to leverage AI coding tools in order to develop specifications for automated workflows.
• Excellent communication and customer service skills, with the ability to provide patient and effective support to employees.
• Ability to commit to a minimum 12-week summer internship.
• In the office at least 3 days a week in the Austin office.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

XML job scraping automation by YubHub

We're pioneering technology and digitalization, working with cutting-edge science, technology, and equipment to pave the way for us to achieve the unimaginable, like innovating in agriculture and empowering farmers, helping our planet to thrive.

Through a diverse and inclusive team, we're doing it with energy, curiosity, and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities, and redefining 'impossible'.

Our Field Associate II is paramount in our ability to make this vision a reality.

Your Tasks and Responsibilities

The Field Associate II is a field-facing role responsible for contributing to an R&D Field Trial program in crops such as corn, soybean, wheat, cotton, canola, and camelina, depending on the region.

Primary responsibilities of the Field Associate II role:

• Coordinate with growers on leased land space;

• Assist with acquiring and supervising local staffing during in-season activities;

• Assist with conducting in-season research activities such as phenotyping, study management, and data analytics review as part of overseeing and executing research trials that feed the R&D pipeline;

Additionally, the role will partner with other Field Associates on site as well as other cross-site functions on initiatives to improve data quality, standard operating procedures, or quality/compliance actions.

Requirements

• Bachelor's degree or knowledge of BS/BA degree completed by September 2026;

• Strong technical aptitude and ability to work with connected systems and data management;

• Demonstrated experience working in a collaborative team-based environment;

• Ability to learn and operate research agriculture equipment, including precision agriculture technology;

• Knowledge or ability to learn region-specific crop production and farming practices;

• Strong verbal and written communication skills;

• Valid driver's license;

• DOT medical card or the ability to obtain one through successfully completing and passing a DOT physical;

• Ability to obtain Pesticide Applicator's License;

• Ability to obtain Drone Pilot's License (FAA part 107 Certification);

Preferred Qualifications

• Bachelor of Science in agronomy, life sciences, engineering, computer science, or related field or Master's Degree;

• Experience in agricultural research, seed technology industry or plant breeding;

• Knowledge of basic statistical analysis and experimental design principles;

• Mechanical and IT aptitude;

• Experience with precision agriculture hardware and software;

• History of implementing continuous improvements and innovation;

XML job scraping automation by YubHub

We design and train transformer-based models with billions of parameters that power ad ranking, pricing, and optimization across large-scale consumer surfaces. These models go well beyond simple click prediction: they reason over long user histories, rich ad and content representations, and heterogeneous event streams to infer user intent and advertiser value, even when ground truth signals are sparse or partially unobservable.

The team owns end-to-end ML systems, including large-scale data and label construction, representation learning, multi-task and proxy objectives, calibration, and rigorous offline and online evaluation. We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics.

This is a hands-on role with real ownership: you’ll help shape next-generation transformer architectures, push the limits of scalable training and serving, and see your models make measurable impact in one of the world’s largest ads ecosystems.

XML job scraping automation by YubHub

We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges.

Our work spans a very large scope of scenarios to deliver high quality search results by document/answers summarization for representation and ranking, query and document understanding, and AI search grounding.

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:

Design, train, and improve large-scale machine learning models for Bing Search relevance and ranking, with a focus on transformer-based and LLM-powered approaches.

Own end-to-end model development, including problem formulation, feature design, training, offline evaluation, and online A/B experimentation.

Develop and optimize multi-stage ranking stacks (recall, coarse ranking, fine ranking) to deliver high-quality, low-latency search results at global scale.

Leverage LLMs for query and document understanding, summarization, representation learning, and grounding to enhance ranking quality.

Address cold-start and sparse-data challenges through content understanding, pre-training, and representation sharing.

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.

Additional or 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.

3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

3+ years experience conducting research as part of a research program (in academic or industry settings).

1+ year(s) experience developing and deploying live production systems, as part of a product team.

1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Experience building and improving large scale Machine Learning system for search, ads, and recommendation.

Research background on Machine Learning, LLM and NLP.

Fantastic problem solver: ability to identify and solve problems that the world has not solved before.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more.

We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability.

If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI

XML job scraping automation by YubHub

We design and train transformer-based models with billions of parameters that power ad ranking, pricing, and optimization across large-scale consumer surfaces. These models go well beyond simple click prediction: they reason over long user histories, rich ad and content representations, and heterogeneous event streams to infer user intent and advertiser value, even when ground truth signals are sparse or partially unobservable.

The team owns end-to-end ML systems, including large-scale data and label construction, representation learning, multi-task and proxy objectives, calibration, and rigorous offline and online evaluation. We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics.

This is a hands-on role with real ownership: you’ll help shape next-generation transformer architectures, push the limits of scalable training and serving, and see your models make measurable impact in one of the world’s largest ads ecosystems.

Responsibilities:

• Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Focus on building estimated conversion models, designing data-driven attribution and weak-label generation pipelines, and developing robust learning and calibration methods for scenarios where true user outcomes are sparse, delayed, or unobservable.
• Design and evaluate multi-task and proxy-signal models, improve offline and online measurement frameworks, and translate modeling advances into production-ready systems that directly impact ad ranking, bidding, advertiser ROI, and user experience at web scale.

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.

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience working with noisy, weak, or proxy labels, including building training signals from indirect user behavior.
• Experience with conversion, outcome, or funnel modeling (e.g., post-click modeling, engagement modeling, attribution, or similar problems).
• Familiarity with model calibration, reliability analysis, or uncertainty estimation in production systems.
• Background in causal inference, attribution, or counterfactual evaluation.
• Experience with large-scale online marketplaces or ads/recommendation systems.
• Experience designing or operating multi-task / auxiliary-task learning systems.
• Proven technical leadership in cross-team modeling efforts or platform-level ML systems.
• 4+ years of industry experience building and shipping machine learning models in production.
• Solid hands-on experience with modern ML models (e.g., deep learning, tree-based models, or linear models) and feature engineering.
• Solid understanding of supervised learning and multi-task learning.
• Practical experience working with large-scale, real-world data and building end-to-end modeling pipelines (data preparation, training, validation, deployment).
• Experience with offline evaluation and online A/B experimentation for ML systems.
• Solid programming skills in Python and at least one major ML framework (e.g., PyTorch or TensorFlow).
• Ability to independently drive modeling projects from problem definition through production and iteration.

XML job scraping automation by YubHub

As part of our Manufacturing team, you’ll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we’re constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love.

In this position...

Ford’s Advanced Industrial Technology & Platforms (ATP) team is building scalable robotics products and platform capabilities to reimagine manufacturing across Ford. As a Staff Product Manager, Robotics, you will set product direction and drive delivery for robotics solutions from discovery through pilot and scale,leading through influence across engineering, manufacturing, safety, quality, IT, cybersecurity, and suppliers.

Responsibilities

What you'll do...

• Set the product strategy and multi-release roadmap for ATP robotics, balancing immediate operational wins with platform scalability and long-term architecture.
• Lead discovery with plant and operations partners to identify high-value use cases; define personas, workflows, constraints, and measurable outcomes.
• Own the creation and quality of product requirements (PRDs, user stories, acceptance criteria), ensuring they span robotics behavior, integration, safety, and operational readiness.
• Drive cross-functional execution with engineering: prioritize backlogs, define MVP scope, manage tradeoffs, and deliver releases that perform in real industrial environments.
• Define and monitor product KPIs such as uptime/availability, MTTR, throughput and cycle-time impact, deployment lead time, safety incident reduction, and total cost of ownership.
• Lead pilot-to-scale planning: site selection, rollout playbooks, training, support model, and post-deployment iteration based on telemetry and operator feedback.
• Influence technical and business decisions across stakeholders,aligning on architecture choices, sourcing approaches, and operating model (support, monitoring, maintenance).
• Partner with Purchasing and suppliers to evaluate solutions and shape vendor roadmaps; establish clear performance expectations and accountability mechanisms.
• Create a forward path for platform evolution (e.g., vision-guided navigation) while ensuring today’s decisions don’t block tomorrow’s capabilities.

Qualifications

You'll have...

• Bachelor’s degree in Engineering OR Computer Science.
• 8+ years of experience in product management and/or technical delivery for complex technical products (hardware/software/system + operational deployment).
• Demonstrated ability to lead and align cross-functional teams at scale, driving decisions and outcomes through influence.
• Strong requirements and execution discipline: ability to translate ambiguous problems into crisp scope, measurable success criteria, and release plans.
• Experience using data and operational feedback to prioritize, iterate, and improve product performance over time.
• Excellent communication skills with the ability to engage effectively with both executive stakeholders and engineering teams.

Even better, you may have...

• Experience delivering robotics systems in real-world deployments (e.g., AMRs/AGVs, robotics navigation, fleet management, autonomy behaviors, HMI/operator workflows, teleoperation, cobotics, etc.,).
• Experience taking products from discovery to prototype to pilot to scaled rollout across multiple sites, including change management and operational readiness.
• Familiarity with robotics platform concepts: localization/mapping, motion planning, safety behaviors, teleoperation, fleet orchestration, edge compute, and industrial networking/integration.
• Strong understanding of reliability/serviceability practices (telemetry, failure modes, spares strategy, maintainability, support playbooks).
• Experience with industrial safety processes and standards practices (risk assessments, safe operating procedures, change control).
• Vendor/supplier management experience (RFx support, supplier scorecards, roadmap alignment, performance management).
• MBA or Master’s degree in engineering, robotics, computer science, or a related field.

THIS IS NOT A REMOTE ROLE. YOU WILL BE REQUIRED TO BE IN S.E. MI 4/5 DAYS/WEEK.

XML job scraping automation by YubHub

As a Systems Engineer, you will be responsible for architecting, designing, and developing robust electrical and software systems for vehicle access and infotainment domains. You will lead the integration of embedded systems with cloud-based services and infrastructure, ensuring secure and scalable solutions.

Key responsibilities include:

• Architect, design, and develop robust electrical and software systems for vehicle access and infotainment domains.
• Lead the integration of embedded systems with cloud-based services and infrastructure, ensuring secure and scalable solutions.
• Collaborate with cross-functional teams including software engineers, hardware designers, cybersecurity specialists, and cloud architects to define system requirements and specifications.
• Evaluate new technologies and industry trends to drive innovation in vehicle access and in-car user experiences.
• Ensure system designs meet rigorous performance, safety, and cybersecurity standards.
• Provide technical leadership and guidance throughout the product development lifecycle, from concept to deployment.

In addition to these key responsibilities, you will also:

• Develop feature specifications, feature Failure Mode Avoidance documentation, feature verification plan, etc.
• Provide product support, evaluating quality and aiding triage issues to determine root cause
• Lead trade-off discussions with multi-functional teams
• Communicate complex systems, issues and resolutions in a clear and concise manner

XML job scraping automation by YubHub

Responsibilities: Validate AI/GenAI-assisted verification workflows with local R&D (smart regression + run/coverage management). Drive reproducible GUI/workflow validation and add lightweight automation where it helps. Build customer-like scenarios and perform structured pass/fail validation for AI-assisted user flows.

Requirements: Currently pursuing a master’s degree in Electronic Engineering, Computer Science, or a related field. Open-minded and eager to learn. A skeptical mindset with a willingness to verify and validate information repeatedly.

Program Facts: Program Length: 8 Weeks Location: Hsinchu (X-Plan), Taiwan Working Model: In-office Full-Time/Part-Time: Full-Time preferred Start Date: July, 2026

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We are looking for amazing people to join our rapidly growing Asia Pacific sales team. Based in Tokyo and you will drive sales in Japan. You will be expected to travel to your territories as required.

The ideal candidate will have an existing network of contacts within Japan: Small and Mid companies within your territory as well as relevant channel partners such as Systems Integrators, Value Added Resellers, MSP's.

The ideal candidate will possess both a sales and technical background that enables them to drive engagement with junior through senior levels within Cloudflare's target customers.

Responsibilities

• Develop and execute upon Sales strategy/plan for Japan
• Drive sales in Japan to achieve revenue targets
• Create & articulate compelling value propositions for Cloudflare services
• Manage contract negotiations
• Maintain a robust sales pipeline
• Recruit, develop and work with partners to extend reach & drive adoption
• Ensure customer satisfaction

Examples of desirable skills, knowledge and experience

• Bachelors degree required.
• Fluent in Japanese and English
• Direct experience selling network security or SaaS
• Direct experience selling to enterprise accounts acting as lead seller and relationship owner
• Technical background in engineering, computer science, or MIS a plus
• Basic understanding of computer networking and “how the internet works”
• Strong presentation and interpersonal communication skills (verbal and written) as well as organizational skills

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Internship Program

The ideal Security Engineering intern is passionate about making the Internet a more secure place. You will work alongside experienced security engineers to identify vulnerabilities, harden our infrastructure, and build tools that protect billions of Internet users. We are looking for interns who are curious, proactive, and able to approach problems with a “security-first” mindset.

This is a unique opportunity for engineers who want to learn how to defend systems at a scale that few other companies can offer.

Responsibilities

• Ship and deliver security-focused projects over 12-16 weeks with autonomy and support.
• Work cross-functionally with Product, Infrastructure, and Engineering teams to integrate security into every stage of the development lifecycle.
• Work closely with a mentor to guide you through the internship, develop your security expertise, and help with career goals.
• Build your network across the company through our various in and out of office socials, networking programs, Employee Resource Group (ERG) programs, and Activity Groups.
• Present your security project to the entire company at the end of the internship.
• Connect and learn from our executives and leadership team including our co-founders.
• Write for our Cloudflare blog (e.g., documenting a new security tool or a vulnerability research finding) and be featured on Cloudflare.tv sessions.

Examples of desirable skills, knowledge and experience

• Education: Currently pursuing a degree in Computer Science, Cybersecurity, Computer Engineering, or a related technical field.
• Security Fundamentals: A solid understanding of the OWASP Top 10, common attack vectors (XSS, SQLi, CSRF), and how to mitigate them.
• Demonstrated critical thinking skills and drive to learn and adapt new technologies.
• Curiosity, empathy and ability to get things done.
• Ability to commit to a minimum 12 week summer internship.
• In office 3-5 days a week in the location of the internship.
• Local to London; relocation not provided.
• Bonus: Demonstrated passion for security & software development, such as personal projects, open-source contributions, or experience with our developer platform using Cloudflare for Students.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation, please contact us at [accommodation email].

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

As a highly ambitious, large-scale technology company, we're not just looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with.

We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.

If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in.

About the Department

Account Executives, Business Development Representatives, Solution Engineers, and Customer Success - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.

About The Role

We are looking for amazing people to join our rapidly growing Asia Pacific sales team. Based in Tokyo and you will drive sales in Japan. You will be expected to travel to your territories as required. The ideal candidate will have an existing network of contacts within Japan: enterprise companies within your territory as well as relevant channel partners such as Systems Integrators, Value Added Resellers, MSP's.

The ideal candidate will possess both a sales and technical background that enables them to drive engagement with junior through senior levels within Cloudflare's target customers.

Responsibilities:

• Develop and execute upon Sales strategy/plan for Japan

• Drive sales in Japan to achieve revenue targets

• Create & articulate compelling value propositions for Cloudflare services

• Manage contract negotiations

• Maintain a robust sales pipeline

• Recruit, develop and work with partners to extend reach & drive adoption

• Ensure customer satisfaction

Examples of desirable skills, knowledge and experience

• Bachelors degree required.

• Fluent in Japanese

• Minimum 8 years direct experience selling network security or SaaS

• Direct experience selling to enterprise accounts acting as lead seller and relationship owner

• Direct experience from established global technology vendors

• Technical background in engineering, computer science, or MIS a plus

• Basic understanding of computer networking and "how the internet works"

• Strong presentation and interpersonal communication skills (verbal and written) as well as organizational skills

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

XML job scraping automation by YubHub

As a Senior Named Account Executive, you'll be responsible for developing and executing against a comprehensive account/territory plan as well as driving sales in a defined territory and/or account list to achieve revenue targets. You will also assist in creating and articulating compelling value propositions for Cloudflare services.

Additional responsibilities will include:

• Manage contract negotiations
• Maintain a robust sales pipeline
• Develop long-term strategic relationships with key accounts
• Ensure customer satisfaction

Examples of desirable skills, knowledge, and experience include:

• A minimum 6 years of direct B2B experience selling security or networking products/solutions (cyber security, IaaS, PaaS, etc)
• A minimum 3 years selling to Public Sector / Government accounts in Ontario
• Experience managing longer, complex sales cycles
• Deep understanding of computer networking and 'how the internet works'
• Aptitude for learning technical concepts/terms (technical background in network engineering or computer science is a plus)
• Strong interpersonal communication (verbal and written) and organizational skills
• Self-motivated; entrepreneurial spirit
• Comfortable working in a fast-paced dynamic environment

XML job scraping automation by YubHub

At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Project Manager Intern specializing in Process & AI Innovation within the GTM Sales, Marketing and Revenue Operations team, you will be pivotal in boosting our operational efficiency. This is a dynamic opportunity to apply project management principles and emerging AI technologies to streamline internal processes across the Go-To-Market organization.

Responsibilities

• Project and Administrative Support: Provide administrative and project management support, including coordinating activities, tracking milestones, and assisting with team deliverables, documentation, and reporting (meeting notes, project reports, etc.).

• Operational Playbook and Wiki: Assist in mapping, analyzing, and documenting existing partner processes to create clear visual playbooks and internal wikis.

• AI Strategy and Automation: Support the research, classification, and prioritization of AI use cases for RevOps/Sales or Marketing, including defining the AI operating model and helping to automate manual, repetitive tasks using 'No-Code' platforms and AI tools.

• Tech Stack Analysis & Collaboration: Contribute to efforts to build a unified tech stack, assisting with 'build vs. buy' evaluations for new tools. You will also collaborate with IT and engineering to prototype and validate AI solutions.

• Recommendations: Help synthesize findings and data into clear, measurable recommendations that align with sales motions and business outcomes.

Skills & Qualifications

• Currently pursuing a Bachelor or Master's degree in Business, Project Management, computer science, Data Science, or a related field.

• Business Strategy or Tech-focused student with a strong interest in AI/Automation, process improvement, program management, and technology exploration.

• Strong organizational, communication, and analytical skills with the ability to manage multiple tasks and translate ideas into structured documentation.

• A natural problem-solver who enjoys mapping out a process and thinking about how to make it simpler and faster.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal,we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Responsibilities

As a Senior Named Account Executive, you will be responsible for developing and executing against a Sales strategy/plan for assigned vertical or accounts, as well as driving large account sales into India markets to achieve revenue targets. You will have an intuitive understanding and experience with the key business and technical needs of these and large accounts and will create and deliver compelling value propositions to them for Cloudflare solutions.

Additional responsibilities will include:

Manage contract negotiations Maintain a robust sales pipeline Develop long-term strategic relationships with key accounts

Requirements

Bachelor's degree required Fluent in English Relevant direct experience, track record, and relationships within largest corporate enterprise accounts in India market 8+ years of direct B2B selling experience, preferably managing internet accounts Direct experience selling network security and/or CDN solutions and services preferred Prior experience being part of an early sales team helping drive traction in India market for a US-based SaaS company highly preferred Experience managing longer, complex sales cycles Basic understanding of computer networking and 'how the internet works' Aptitude for learning technical concepts/terms (Technical background in engineering, computer science, or MIS a plus) Strong interpersonal communication (verbal and written) and organisational skills Self-motivated; entrepreneurial spirit Comfortable working in a fast-paced dynamic environment

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal,we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job.

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As the SLED Senior Manager, you will lead our US SLED Mid Market team reporting directly to the Head of US SLED Sales. We are seeking a highly experienced and talented SLED Go To Market Leader to help us manage and grow the organization with overall responsibility for driving Cloudflare's revenue, hiring and brand awareness while maintaining the Cloudflare Culture.

Change Agents, Builders, and Evangelists interested in continuing Cloudflare’s journey towards becoming a world class SLED GTM organization will thrive in this role and environment.

Responsibilities:

• Drive sales growth through successful leadership, organizational planning, customer service, and outstanding execution of all regional go-to-market programs (sales, channel, customer success, solutions engineering, business development, support and field marketing).

• Lead a diverse sales team supporting volume and velocity sales motions across State, Local and Education (HiEd and K-12) accounts

• Continue to grow and build the U.S. Sales team and drive the hiring needs through partnering with global functional leadership and recruiting resources.

• Adopt and influence the company's sales methodology/process and drive best practices on selling, forecasting, and account management.

• Represent Cloudflare as the single point of contact for all operational concerns, ensuring proper and timely escalation and resolution.

• Ensure that corporate policy and regulatory initiatives are consistently applied and followed by the sales organization.

• Drive business cadence for forecast calls, functional review meetings, deal review, customer account reviews, weekly team meetings and periodic company-wide kick offs.

• Represent Cloudflare as appropriate at external conferences, media and PR events. Maintain relationships with the NASCIO, NASTD, and other related associations.

• Travel within the U.S. will be expected.

Requirements:

• Minimum 5 years of senior level sales leadership experience, coupled with 10+ years of selling experience to a wide variety of SLED accounts.

• Experience managing longer, complex sales cycles but driving a quarterly cadence.

• Experience driving velocity sales activities within the SLED market.

• Established relationships with partner communities working with SLED organizations.

• Proven ability to sell solutions to strategic customers.

• Strong understanding of sales process/methodology, pipeline management, accurate forecasting and delivering results quarterly.

• Individuals that have been promoted to sales leadership within companies is a plus with a proven track record of significant over-quota achievement and demonstrated career stability.

• Experience in network performance and security, “how the Internet works”, corporate networking and SD-WAN as well as industry concepts such as Zero Trust and SASE.

• Aptitude for learning technical concepts/terms (technical background in engineering, computer science, or IT is a plus).

• Strong interpersonal communication and organizational skills.

• Excellent presentation skills to executives & individual contributors.

• Self-motivated, entrepreneurial spirit, and start-up experience are a plus.

• Comfortable working in a fast paced dynamic environment.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.

Based in India, you will drive sales into BFSI focussed enterprise accounts across the Western India region, for Cloudflare’s solutions. Your strategic selling activities will include "hunter" type activities to proactively penetrate target named accounts, detailed account planning, focused relationship building and leading effective sales campaigns to successful closure.

As an Account Executive, you'll be responsible for developing and executing against a Sales strategy/plan for assigned vertical or accounts, as well as driving large account sales into India markets to achieve revenue targets. Therefore, you must have a strong network of contacts with decision makers in enterprise accounts across the region, and have experience selling complex solutions to these accounts.

Additional responsibilities will include - Manage contract negotiations - Maintain a robust sales pipeline - Develop long-term strategic relationships with key accounts

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in.

The Team

Cloudflare's CDN group provides the core infrastructure for services at the edge, a massive distributed system where milliseconds matter. As part of this group, the Inter-Process Communication (IPC) team is responsible for building and maintaining the high-performance communication layer that connects all the different services. Our team's mission is to ensure this communication is as reliable, secure, and fast as humanly possible. We believe that Rust is the right tool for this challenge, and our entire codebase is built with it.

The Role

As a Senior Engineer/Architect on the Platform team, you will be instrumental in building the next generation of our communication strategy. This is more than just maintaining a system; it's about innovating and building a platform that empowers teams across the company.

You will coordinate efforts across multiple teams to design, build, and deploy new features that enhance the availability, safety, and reliability of our edge network. This is a unique opportunity to sit at the nexus of Cloudflare's operations, influencing how millions of people experience the internet.

Your primary focus will be on building a high-performance platform with a keen eye on operational excellence. This includes defining and implementing clear Service Level Objectives (SLOs), monitoring key metrics, and managing error rates to ensure a robust and reliable system.

As a Senior Software Engineer on the IPC team, you'll be at the forefront of Cloudflare's core infrastructure. This isn't just about writing code; it's about shaping the future of how our distributed systems communicate. You will serve as a key technical leader, responsible for designing and implementing the next generation of our communication protocols and their associated libraries.

Your work will directly enable other engineering teams to build innovative services on top of a robust, high-performance foundation. This role requires a unique blend of deep technical expertise and the ability to influence others. You'll work across teams to define new features, ensure operational excellence, and drive the adoption of your solutions.

Your primary focus will be on:

• Architecting and building new features for our high-performance communication protocol.

• Championing operational excellence by defining and measuring key metrics like Service Level Objectives (SLOs) and error rates.

• Driving cross-team collaboration to ensure our communication platform meets the needs of teams across the organization.

What You'll Bring

We are looking for seasoned professionals with a strong background in software architecture and distributed systems.

• Deep expertise in Rust, with a history of building complex, production-grade applications.

• Strong competencies in computer science, including a solid understanding of algorithms, data structures, and concurrency control.

• Experience with performance engineering and a proven track record of optimizing high-throughput, low-latency systems.

• Excellent communication and collaboration skills to drive consensus and coordinate with diverse engineering teams.

• A passion for continuous improvement in both operations and product development.

Bonus Points

• A deep understanding of web protocols and web servers.

• Experience with distributed systems architecture.

• Knowledge of web security issues and industry standards.

• Familiarity with Prometheus for monitoring and alerting.

Most importantly, we're seeking a builder,someone who is excited by the challenge of working on a system at a scale few companies ever reach. Join us in our mission to build a better internet for everyone!

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released. Here's the deal,we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

The Team

Cloudflare's Front Line (FL) group operates the world's largest web server, which processes over 120 million HTTP requests every second. We are the guardians of Cloudflare's core infrastructure. As part of the Platform team, you will play a pivotal role in evolving this system. We are a team of senior engineers and architects building and maintaining a web proxy platform that is not just performant but also offers exceptional developer ergonomics for over 20 other teams. Our entire codebase is written in Rust.

The Role

As a Senior Engineer/Architect on the Platform team, you will be instrumental in building the next generation of our core web server. This is more than just maintaining a system; it's about innovating and building a platform that empowers teams across the company. You will coordinate efforts across multiple teams to design, build, and deploy new features that enhance the availability, safety, and reliability of our edge network. This is a unique opportunity to sit at the nexus of Cloudflare's operations, influencing how millions of people experience the internet.

Your primary focus will be on building a high-performance platform with a keen eye on operational excellence. This includes defining and implementing clear Service Level Objectives (SLOs), monitoring key metrics, and managing error rates to ensure a robust and reliable system.

What You'll Bring

We are looking for seasoned professionals with a strong background in software architecture and distributed systems.

• Deep expertise in Rust, with a history of building complex, production-grade applications.
• Strong competencies in computer science, including a solid understanding of algorithms, data structures, and concurrency control.
• Experience with performance engineering and a proven track record of optimizing high-throughput, low-latency systems.
• Excellent communication and collaboration skills to drive consensus and coordinate with diverse engineering teams.
• A passion for continuous improvement in both operations and product development.

Bonus Points

• A deep understanding of web protocols and web servers.
• Experience with distributed systems architecture.
• Knowledge of web security issues and industry standards.
• Familiarity with Prometheus for monitoring and alerting.

Most importantly, we're seeking a builder,someone who is excited by the challenge of working on a system at a scale few companies ever reach.

Join us in our mission to build a better internet for everyone!

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

XML job scraping automation by YubHub

At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a highly ambitious, large-scale technology company, we're committed to protecting the free and open Internet. We equip more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers,at no cost.

About the role

As an intern on the Internal Audit (IA) team, you will be a part of a data-driven team that will work with the Internal Audit team as well as Business and Technology partners to perform analysis with the dual purpose of (1) executing an independent assessment of a target area following Internal Audit's methodology and (2) delivering insights to the business on potential improvements that leverage AI/ML and may include data analytics, automation, dashboarding, and process improvements.

Responsibilities

• Operating under the supervision of an Internal Audit Leader, the intern will execute through the full lifecycle of an audit project applying a data-driven approach that will include planning, risk assessment, fieldwork, code development, data analysis, visualization and reporting.

• While the project will be performed in accordance with department and professional standards, opportunities to challenge our process and propose new audit and analytics approach will be expected.

• Help design testing procedures relevant to risk and test objectives applying a data-driven approach.

• Gain an understanding of the target area of your project including operations, systems, data and risk.

• Prepare audit workpapers and reports with direct supervision.

• Build relationships with key stakeholders and business owners to understand pain points and opportunities to enhance existing program, processes and controls.

• Be assigned a mentor to guide you through the internship and help with career goals.

• Present your project to the entire company at the end of the internship.

• Get direct access to our executives and leadership team, including our co-founders.

Requirements

• Currently pursuing a degree or program in Accounting, Finance, Business, Engineering, Computer Science, Data Analytics, or related field.

• Expected graduation date between: 12/2026 - 12/2027.

• Coding skills desired (Python, R, SQL, Tableau, Power BI).

• Critical thinking decision making/problem solving skills.

• Curious mindset & initiative.

• Effective communicator, ability to build relations & manage expectations.

• Time management skills and ability to plan and prioritize effectively.

• Proficiency in Microsoft Excel/Google Sheets required.

• Ability to work effectively in a team environment.

• Ability to commit to a minimum 12 week summer internship.

• In office 3-5 days a week in Austin, TX.

Estimated Salary:

$24/hr

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Cloudflare helps build a better Internet by protecting and accelerating millions of websites, APIs, and applications worldwide. Our global network spans hundreds of cities and powers everything from small startups to large enterprises. The Self-Serve and Growth teams focus on Cloudflare’s product-led growth (PLG) business,helping users discover, activate, and expand usage across products like CDN, Security, Workers, R2, Images, and Registrar.

As a Data Analytics Intern, you’ll work with product managers, engineers, marketers, and data scientists to generate insights that influence product strategy and business growth.

Responsibilities

• Analyze product and business data to uncover trends in acquisition, activation, retention, and monetization across Cloudflare’s self-serve customers.

• Write SQL queries to explore large-scale datasets and build dashboards to track key metrics and experiments.

• Partner with product, marketing, and engineering teams to define success metrics and answer high-impact business questions.

• Support A/B tests and growth experiments by measuring impact and providing recommendations.

• Help maintain and improve data pipelines, data models, and documentation.

• Present findings and actionable insights to stakeholders in a clear, compelling way.

• Contribute to improving analytics processes, data quality, and self-serve reporting.

Example Projects

• Build dashboards tracking user activation and feature adoption across Cloudflare products.

• Analyze funnel conversion from sign-up → first value → paid usage.

• Identify segments of users most likely to upgrade or expand product usage.

• Evaluate impact of product launches, pricing changes, or marketing campaigns.

• Support forecasting and growth modeling for self-serve revenue.

Who You Are

Required:

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.

• Strong analytical and problem-solving skills.

• Experience with SQL and data analysis tools (e.g., Python, R, or spreadsheets).

• Ability to communicate insights clearly to both technical and non-technical audiences.

• Curiosity about product analytics, growth, and how data drives decisions.

Preferred:

• Experience with data visualization tools (e.g., Looker, Tableau, Mode, or similar).

• Familiarity with experimentation, A/B testing, or product analytics.

• Exposure to cloud data warehouses (BigQuery, Snowflake, etc.).

• Interest in Internet infrastructure, security, or developer platforms.

What You’ll Gain

• Hands-on experience analyzing real-world product and business data at Internet scale.

• Mentorship from experienced data analysts and data scientists.

• Exposure to product-led growth strategy and cross-functional decision-making.

• Opportunity to present your work to Cloudflare teams and leadership.

• A final project that demonstrates measurable impact on product or growth strategy.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

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This position is needed to develop the future platform of communications. Twilio SMS Engineering is looking for a Software Engineer to join our team to work on our SMS connectivity layer with the purpose to build and optimize for delivery.

You will be developing a complex distributed platform in Java and be concerned with availability, throughput, latency, and data integrity. At the core are cloud technologies that enable deployment and management of computing resources globally.

Responsibilities:

• Design, develop, test and deploy features alongside an experienced, distributed collaborative team
• Participating in code reviews to ensure code quality and adherence to coding standards.
• Work independently to troubleshoot/determine resolution for issues in your team's domain
• Managing your work through the use of Github, Jira, and our build/deploy systems
• Ensure quality by writing unit-, integration- and load-tests
• Collaborating with cross-functional teams to define, design, and ship new features.

Qualifications:

• Experience with Java frameworks such as Dropwizard, Spring, Hibernate, or similar.
• Experience with cloud services (AWS preferred, Google, Azure etc.)
• Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
• Knowledge of processes and engineering best practices in all phases of the software development life cycle
• Readiness to participate in the on-call rotation
• Strong communication skills and desire to make an impact and thrive in small, collaborative, energetic teams

Desired:

• Experience with microservice architecture
• Experience working with Agile/Scrum methodologies
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

XML job scraping automation by YubHub

You have a curious mind, high bar for engineering quality, and ability to work in a dynamic environment where the best idea wins. Apollo Software Engineers are involved throughout the product lifecycle. From idea generation, to design and prototyping, to execution, and shipping. As a Software Engineer, you'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that solve them.

Core Responsibilities:

• Build and maintain highly available systems responsible for orchestration of software deployment across hundreds of production environments
• Engage and solve problems that customers need today with a tight feedback loop for what is important and what works
• Working directly with other teams to solve problems that cross the team boundary
• Debug complex issues and performance problems throughout the stack

What We Value:

• Some familiarity with containers (Docker) and orchestration (Kubernetes)
• Experience developing and managing highly-available distributed systems
• Demonstrated success building systems that meet requirements around monitoring, stability, and scalability
• Experience building high-quality software in a fast-paced CI/CD development environment
• High empathy for developer and operators workflows and productivity

What We Require:

• Experience in Software Engineering, Computer Science, Math, Physics or similar field
• Strong software developer with demonstrated proficiency in programming languages, such as Java, Golang, C++, or equivalent
• Demonstrated ability to learn and work independently and make good decisions with minimal direction
• Strong written and verbal communication skills
• Great problem-solving skills with ability to evolve complex systems

XML job scraping automation by YubHub

Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

The Role

Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open-ended question like "How do we evaluate wildfire risk and optimize a power grid as a result" or "How do we quickly assess our food supply chain and modify it to deliver life-saving assistance on time?"

As an FDSE, you’ll apply your problem-solving ability, creativity, and technical skills to help organisations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions.

Core Responsibilities

As an FDSE Intern, your responsibilities look similar to those at a small startup, with the resources, stability, and mentorship of an established tech company:

• Work in small teams with minimal supervision and own end-to-end execution of high-stakes projects.

• Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.

FDSE Interns are treated just like full-time engineers, with significant freedom and ownership over their work. Interns take responsibility for real-world projects and outcomes that our customers rely on.

Our Principles

• Impact: We address meaningful and exciting projects that change the world for the better.

• Ownership: We see projects through from beginning to end, working through any obstacles we may encounter. We trust each other to effectively handle time and priorities and give people the space to think for themselves.

• Collaboration: We work internally with people from a variety of backgrounds , such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on-site, to understand and tackle their problems.

• Growth: We believe experiential learning is one of the best teachers and encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge.

What We Value

• Willingness and interest to travel as needed to client sites.

• Ability to continuously learn, work independently, and make decisions with minimal direction.

• Ability to collaborate in teams of technical and non-technical individuals, and comfortable working in a constantly evolving environment with dynamic objectives and iteration with users.

• An eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.

• Interest in working with and using large-scale data to solve valuable business problems.

What We Require

• Willingness to undergo a US government background investigation, depending on US government project requirements.

• Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.

• Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar.

• Must be planning on graduating in 2027. This should be your final internship before graduating.

To apply, please submit the following:

• An updated resume/CV – please do so in PDF format.

• Thoughtful responses to our application questions.

Additional Information

Salary

The estimated salary range for this position is estimated to be $10,000/month. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives.

Life at Palantir

We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your long-term growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office.

If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.

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The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager for Notifications, you will own the notifications platform and drive strategy to improve both existing and new notification experiences.

Your work will focus on building a scalable, reliable notifications infrastructure while optimizing notification content and delivery to strengthen the connection between streamers and viewers. You will identify opportunities to drive viewer engagement and retention through timely, relevant notifications that help viewers discover content and stay connected to their favorite creators.

Responsibilities

• Get down into the weeds and find tactical ways of improving one of Twitch’s top growth levers, using experimentation, intuition and any tool at our disposal.
• Think 2-3 years from now and build a strategic plan for key growth initiatives including how the notifications platform should evolve from the current product feature set.
• Be hands-on in execution collaborating closely with applied scientists, data science, engineering, and design.
• Navigate the ambiguity and complexity of executing on both your short and long term plans.
• Be the voice of both viewers and streamers in the evolution of our notifications products working with product teams across Twitch to optimize the end user experience.

Requirements

• 5 or more years of Product Management experience
• 2+ years working directly with notifications solutions
• Strong analytical skills, ability to understand data trends, insights, and experiments, but also when to drive through product intuition
• Strong written and verbal communication skills with a talent for precise articulations of customer problems
• History of shipping products through experimentation, analyzing insights and measuring impact

Bonus Points

• Bachelor’s or Master’s degree in computer science or a related field
• Familiarity with streaming and Twitch's ecosystem
• Experience working with GTM teams to bring a new product to market
• Knows how to write basic SQL and how to use experimentation/analytic tools

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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The role involves building a performant search and indexing ecosystem for complex granularly permissioned data, contributing to open-source data processing libraries, and designing architecture and opinionated APIs to keep application developers on the happy path.

As a member of the infrastructure team, you will work on building the foundational capabilities that power our products used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world.

We're hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you’re motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a significant impact on our products and the people who use them.

Frontline Foundry Software Engineers may be offered the opportunity to Frontline, an exclusive program unlike any other. This unique, short-term assignment involves being embedded with customers, allowing you to work directly with users and gain firsthand insight into how our products are used and the challenges our customers face.

Some of our most successful products were built on the factory floor, addressing real-world problems for the world's most important institutions. These products were developed by some of our most successful product engineers, who began their careers in roles aligned with Frontline responsibilities, gaining a deep understanding of both our technology and our customers.

Core Responsibilities:

• Building a performant search and indexing ecosystem for complex granularly permissioned data
• Contributing to open-source data processing libraries, integrating the latest innovations to achieve performance gains
• Building the distributed systems that power large scale compute workloads, orchestrating and efficiently scheduling hundreds of thousands of containers every hour
• Designing architecture and opinionated APIs to keep application developers on the happy path
• Tracing and performance observability in high scale distributed microservice architectures
• Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications without deep domain expertise in the underlying systems
• Automating the deployment, management, and operations of complex distributed systems like Cassandra, Elasticsearch, Kafka, and more across different environments

Technologies We Use:

• Different backend languages, including Java, Rust, and Go
• Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink
• Industry-standard build tooling, including Gradle and GitHub

What We Value:

• Demonstrated ability to collaborate and empathize with a variety of individuals. Able to iterate with users and non-technical stakeholders and understand how technical decisions impact them.
• Ability to learn new technology and concepts, even without in-depth experience. Experience developing and managing highly-available distributed systems is beneficial, but not required.
• Bias towards quality and thoughtful about edge cases (“anything that can go wrong will go wrong”); writes code that is defensive against all possibilities.
• Leading solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralize and abstract complexity away from our users in order to expose simple, powerful APIs for consumers.
• Active UK Security clearance, or eligibility and willingness to obtain a UK Security clearance is beneficial, but not necessary.

What We Require:

• 6+ years of experience designing, building, and operating scalable and reliable infrastructure systems in a production environment
• Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field.
• Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages.
• Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools.
• Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality.

Additional Information:

Life at Palantir

We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir.

Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike

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The role involves working on the defence product offering, where you will be involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping. You will own APIs and schemas that power your frontend code, and work with backend engineers in developing them together.

Some examples of product work you could work on are:

• Build for high-scale, collaborative, geospatial workflows (Gaia)
• Design sophisticated frameworks to enable complex workflows across applications in a single workspace
• Develop the next generation of real-time collaborative tooling and data-analysis solutions (Secure Collaboration)

Technologies used include Typescript and React, Blueprint as a re-usable frontend component library, and industry-standard build tooling.

The ideal candidate will have 2+ years of frontend software engineering experience, strong frontend coding skills, and a bachelor's degree in Computer Science or related field. They should also have strong written and verbal communication skills, and eligibility and willingness to obtain a US Security clearance.

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Projects often start with a nebulous question like 'Why are we losing customers?' or 'How can we more effectively identify instances of money laundering?' FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact.

You work with customers around the globe, where you gain rare insight into the world's most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers.

Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place , with the best colleagues , to learn how. You'll learn how to unpack a problem and understand the costs and consequences of its solution. You'll learn new technologies and languages, and even develop them yourself. You'll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.

Technologies We Use

• Core Palantir products provide the foundations for our deployments.
• Custom applications built on top of core Palantir platforms.
• Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing.
• Java and Groovy for our back-end applications and data integration tools.
• Typescript, React, Leaflet, and d3 for our web technologies.
• Python for data processing and analysis.
• Palantir cloud infrastructure based on AWS EC2 and S3.

Our Principles

• Impact: We take on meaningful and challenging projects that change the world for the better.
• Dedication: We see projects through from beginning to end in spite of obstacles we may encounter.
• Collaboration: We work internally with people from a variety of backgrounds , such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and solve their problems.
• Trust: We trust each other to effectively manage time and priorities,we don't micromanage. We want to give people the space to think for themselves.
• Growth: We push ourselves and our peers to improve themselves and the world around them.
• Learning: We often face entirely novel problems, where we need to pick up a lot of new information and learn how to use it to make progress.

What We Value

• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics.
• Experience with logistics, materiel, sustainment, aviation, or readiness analysis is a plus.
• Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
• Understanding of how technical decisions impact the user of what you're building.
• Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.
• Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users.
• Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.
• Willingness and interest to travel as needed.

What We Require

• Active US Security Clearance at or above the Top Secret level

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Core Responsibilities:

• Develop a deep understanding of Palantir's product and delivery ecosystem.
• Collaborate with customer-facing, product, and infrastructure teams on the development and deployment of scalable, reliable software for customers.
• Diagnose, resolve, and prevent issues encountered in the field.
• Reduce the operational overhead of responding to critical incidents at Palantir through investments in tooling, process, and automation.
• Take part in a 24/7 on-call rotation responsible for coordinating Palantir's response to mission-critical incidents, ensuring efficient resolution with minimal customer impact.

What We Value:

• Excellent problem-solving skills.
• Comfort working in a fast-paced environment.
• Ability to work both independently and make decisions under minimal direction, as well as collaborate as part of a team.
• Experience with scripting, automation, or data analysis a plus.

What We Require:

• Background in Computer Science, Engineering, Information Systems, Incident Management, or other technical field.
• Willingness and interest to travel to other Palantir locations on occasion.

Additional Information:

• Salary: The estimated salary range for this position is $96,000 - $140,000/year.
• Benefits: Palantir offers a comprehensive benefits package, including medical, dental, and vision insurance, as well as voluntary life insurance, commuter benefits, relocation assistance, and paid time off.

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Key responsibilities include:

• Impact: Taking on meaningful and challenging projects that change the world for the better.
• Ownership: Seeing projects through from beginning to end, working through any obstacles encountered.
• Collaboration: Working internally with various backgrounds and externally with customers to understand and solve problems.
• Trust: Trusting each other to effectively manage time and priorities and giving people space to think for themselves.
• Growth: Encouraging oneself and peers to seek new challenges and opportunities for growth.

The ideal candidate has a strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. They should have a highly analytical mindset, experience working with large-scale data, and proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.

Additional requirements include:

• Security clearance or the ability to obtain a clearance.
• Willingness and interest to travel as needed to client sites, with 25-50% travel preferred but may vary by team and location.

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Your responsibilities will be similar to those of a hands-on AI startup CTO, working in small teams to own delivery of high-stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.

We believe Palantir is the best place to learn how to be an entrepreneur or an Applied AI leader, with the best colleagues to support you.

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The Sr. GNC Engineer will lead algorithm design, truth and physics modeling, simulation and analysis for a wide variety of spacecraft and space missions. The Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

Key responsibilities include:

• Leading spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and working closely with bus providers for successful implementation.
• Developing modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.
• Developing appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations.
• Collaborating across multiple teams to plan, build, and test complex functionality.
• Coordinating with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Supporting challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Directly interacting with customers to ensure mission success.

Required qualifications include:

• A strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree.
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems.
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, spacecraft attitude determination and controls.
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.

Preferred qualifications include:

• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios.
• Experience with computer vision and perception algorithms to support GNC operations.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

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• Lead spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers for successful implementation.
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.
• Develop appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Directly interact with customers to ensure mission success.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft autonomy tools for dynamic space operations - Test process development and execution.
• Define automated fault detection and responses.
• Provide hardware-in-the-loop and monte-carlo simulation capabilities.

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The ideal candidate will have a Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering, and 6+ years of experience in designing and commissioning automation equipment in a production environment. You will be proficient in CAD modeling in NX, Solidworks, or AutoCAD, and have a solid understanding of safety devices, including Estops, door interlocks, light curtains, LIDAR scanners, and trap keys. You will also be able to manage an integrator all the way from RFQ through SAT for a $500k+ CapEx project.

As a member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of our advanced military systems. You will also have access to top-tier benefits, including comprehensive medical, dental, and vision plans, income protection, generous time off, and professional development opportunities.

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Your responsibilities will include:

• Technical Leadership & Vision: Define and articulate the technical vision and strategic roadmap for the system, ensuring alignment with Anduril's broader Dive-XL Core Platform and customer needs.
• Architectural Design Authority: Serve as the ultimate technical authority for the system architecture, design decisions, and critical trade-offs across all engineering disciplines (mechanical, electrical, software, autonomy, acoustics, materials).
• System Integration & Performance: Oversee the end-to-end development lifecycle, from requirements definition and conceptual design through detailed design, integration, test, and deployment.
• Test & Evaluation: Define and oversee the test and evaluation strategy, including acceptance criteria, test readiness reviews, and support to customer acceptance testing.
• Technical Problem Solving: Lead the resolution of complex technical challenges, acting as a hands-on expert and guiding teams through difficult design, integration, or operational issues.
• Team Mentorship & Development: Provide technical mentorship, guidance, and critical review for engineering teams, fostering a culture of innovation, excellence, and rigorous problem-solving.
• Risk and Opportunity Management: Identify, assess, and mitigate technical risks throughout the program lifecycle, developing contingency plans and advising program leadership.
• Customer & Stakeholder Engagement: Act as a primary technical point of contact for internal stakeholders, customers, and partners. Clearly communicate complex technical information, program status, and strategic direction.
• Cross-Site Coordination: Collaborate closely with the AU Chief Engineer counterpart to ensure technical alignment across program variants, share lessons learned, and maintain architectural consistency.
• Requirements Management: Ensure robust requirements decomposition, traceability, and verification plans are in place for all subsystems.
• Innovation & Research: Stay abreast of cutting-edge technologies, research, and industry trends relevant to autonomous underwater systems, incorporating best practices and innovative solutions.

To be successful in this role, you will need to have:

• 15+ years of experience in the design, development, integration, and deployment of complex autonomous systems.
• 5+ years of demonstrated experience as a Chief Engineer, Technical Director, Lead Architect, Engineering Fellow, or equivalent senior technical leadership role on a major hardware/software program.
• Proficiency in systems engineering principles, including requirements management, interface control, verification, and validation.
• Proven ability to lead and mentor highly technical, multi-disciplinary engineering teams.
• Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
• Must be able to obtain and maintain a US Secret Clearance.

Preferred qualifications include:

• Deep expertise across multiple AUV sub-domains, such as hydrodynamics & propulsion, power systems, underwater acoustics & communications, navigation & perception, autonomy & control, materials science & corrosion, mechanical design, software architectures, and active US Secret Clearance or higher.
• Experience with the full lifecycle of US Navy and DoD acquisition programs.
• Demonstrated understanding of the NAVSEA technology adoption processes and its application to defense acquisition, particularly as it relates to technical requirements, risk management, and program execution.
• Experience with system safety engineering practices (e.g., MIL-STD-882) and familiarity with submarine/AUV safety certification processes.
• Familiarity with cybersecurity best practices for autonomous systems.
• Expertise in AI/ML applications for AUV autonomy, perception, and decision-making.
• Experience with advanced manufacturing techniques for marine systems.

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To be successful in this role, you will need a strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics, experience working with a variety of programming languages such as C++, Rust, or Python, experience building software solutions involving significant amounts of data processing and analysis, ability to quickly understand and navigate complex systems and established code bases, a desire to work on critical software that has a real-world impact, and the ability to obtain and maintain a U.S. TS clearance.

Anduril Industries offers a highly competitive salary range of $166,000-$220,000 USD per year, as well as top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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Key Responsibilities:

• Perform preventive maintenance, repairs, and installations at end-user customer sites using approved Bayer documentation.
• Schedule and organize own work activities, ensuring efficient operations.
• Organize and re-order inventory valued at $20K to ensure quality work and low incident of defective or incomplete on-site customer visits.
• Responsible for proper return of all defective inventory for replenishment.
• Price service calls, offering discounts or converting to full contracts when needed.
• Generate service revenue of up to $500K in given work group (individual revenue responsibilities may vary).
• Prepare and develop sales quotes and follow through to close the sale.
• Interface heavily with Service Admin/MSRC billing processors to ensure proper and timely invoicing.
• Assist in collection activities within a given territory.
• Generate and communicate sales leads to respective sales reps for new product or disposable opportunities.
• Maintain company car, oil changes, tire rotation, etc., and tools in good working order valued at $35-$45K.
• Ensure all proprietary info is safeguarded from non-Bayer personnel, including Service & Training Manuals, Diagnostic and Calibration software, BIT keys, etc.

Requirements:

• Associate's Degree in Electronics, IT Networking, Computer Science, or relevant discipline required with 2 years of applicable experience or Bachelor's Degree in relevant discipline.
• Equivalent Military Experience/Training in areas such as Electronics, Aviation, IT, Computer Science, or relevant training with 2 years of applicable experience can be considered in lieu of degree.
• Technical trade skills in areas such as soldering, electrical installation & troubleshooting.
• Prior experience in a customer-facing role.
• Demonstrated ability to work in a fast-paced self-directed environment.
• Good verbal and written competencies, along with flexibility and good judgment.
• Ability to prioritize workload and tasks to maximize revenue.
• Proficient in Microsoft Office product suite & comfortability in using company-specific databases and CRM systems.
• Ability to travel within assigned territory and nationally, at times overnight and extended time periods.
• Must hold a valid driver's license.

Preferred Qualifications:

• Demonstrated knowledge of Medical Device & Radiology business.
• Prior experience in a Field Service Role and/or regulated industry.

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The ADAS Virtual Verification and Validation group develops and applies state-of-the-art tools and methods to validate ADAS features, including Driver-in-the-Loop (DiL) simulators that are interactive high-fidelity systems that integrate a human driver with vehicle simulation models and systems in real-time immersive virtual environment. These simulators aid improvements in driver interactions and experience; helping to deliver ADAS features with quality and robustness to improve customer satisfaction.

Our engineers support the latest ADAS features such as Blue Cruise (BC), System Initiated Lane Change (SILC) and Lane Keeping Aid (LKA).

Responsibilities

• Lead Driver-In-Loop (DiL) Simulator development and testing to support the development and sign-off of ADAS features
• Contribute to development of simulation platform to support cross-tool SiL, DiL, HiL virtual validation methods
• Develop new DiL solutions for feature development and validation, combining simulation with traditional vehicle testing methods on vehicle simulators
• Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance.
• Conduct customer-level algorithm and calibration clinic studies to satisfy vehicle-level performance requirements
• Create virtual roads and scenarios for robust testing of ADAS features (Regulatory, Functional, Performance, Real World).
• Develop and integrate camera, radar, and ultrasonic sensor stimulation and simulation tools to support testing of new and existing ADAS features.
• Collaborate cross-functionally with technical specialists, product owners, developers, simulation, HIL, and vehicle test teams to establish tools and test procedures that improve efficiency of and enable new test cases for vehicle level testing.
• Develop Python tools for data collection and analysis
• Grow and demonstrate technical leadership amongst a team of highly energized and collaborative peers in a fast-paced environment.

Qualifications

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field or a combination of education and equivalent experience
• 2-5 years of experience developing/testing features in related vehicle systems (vehicle dynamics, body, electrical, chassis, powertrain)
• 2-5 years of experience with at least one scripting or programming language (e.g., C, C++, Python, JavaScript, etc.)

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Your responsibilities will include:

• Developing requirements using industry-specific knowledge and collaborating with manufacturing engineers, industrial engineers, plant personnel, and leaders to identify opportunities.
• Ensuring proposed digital solutions align with the broader manufacturing strategy, existing IT architecture, and industry standards.
• Managing the feature backlog and working closely with developers to clarify questions, remove blockers, and prioritize sprint tasks based on business value and urgency.
• Conducting regular reviews of the software during the development phase to ensure the build matches the engineering specifications and quality standards.
• Leading demonstrations of new features and prototypes to key stakeholders to validate concepts, gather immediate feedback, and ensure the product is moving in the right direction.
• Designing and executing comprehensive User Acceptance Testing (UAT) plans and coordinating with end-users to test the software in simulated environments.
• Managing the pilot phase by deploying mature prototypes or Minimum Viable Products (MVPs) into a limited production environment and validating technical feasibility, operational fit, and business value.
• Orchestrating the full rollout of digital tools to engineering offices and manufacturing sites, including creating technical documentation, delivering training sessions to engineers and plant personnel, and monitoring usage metrics to drive active adoption of the new technology.

To succeed in this role, you will need:

• A Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Computer Science, or a related technical field.
• 3+ years of experience in a manufacturing/engineering environment, preferably in the automotive, aerospace, or heavy industry sectors.
• Excellent problem-solving and analytical skills, strong verbal and written communication skills, and the ability to work independently and in a team environment.
• Strong Project Management skills and a results-oriented mindset.
• Experience deploying physical plant floor systems, including controls, tooling, robotics, and/or material delivery.

This position is a range salary grade 5-8 and ranges from $63,480-162,120.

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Your primary responsibilities will include establishing structures and mechanisms that enable predictable delivery, challenging and de-prioritizing work that does not support the strategy or agreed priorities, and owning the domain backlog structure, PI planning, and the domain delivery plan.

You'll also be responsible for driving clarity for cross-team sequencing and integration planning, maintaining accurate internal risk and dependency registers, and keeping Atlassian artifacts and dashboards up to date.

To succeed in this role, you'll need to have a bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field, and at least 5 years of experience in software/services delivery environments.

You'll also need to be proficient with delivery tooling, such as Atlassian Suite, and have experience operating in scaled delivery models.

If you're a motivated and organized individual with excellent communication skills, we'd love to hear from you!

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The ideal candidate will have a Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, Aerospace Engineering, or Controls Engineering, and 5+ years' experience in SW program management, engineering management, engineering supervisory role, or a technical team leadership role in an embedded technical software discipline. You will also have experience in the usage of industry-standard project management tools for product development and delivery (MS Project or equivalent).

Responsibilities:

• Partner with key stakeholders to define, scope, prioritize, and deliver major ADAS software initiatives that span multiple teams and multiple organizations across Ford.
• Understand the needs of stakeholders across the product development organization and influence as appropriate to achieve alignment on the prioritized initiatives.
• Apply technical project planning, management, and leadership for the development and delivery of ADAS Software (hand-coded or MBD-based).
• Implement and execute roadmaps, schedules, project plans, and resourcing plans to enable ADAS to meet commitments across all customer constituencies.
• Lead team members on modern, world-class, software development practices, and precise execution of a technical plan (including management of milestone progress, dependency tracking, risk management, and risk mitigation).
• Interface with and lead cross-functional teams – Systems, Software, Feature, Suppliers, V&V, Quality to define and drive development plans, ensuring on-time SW delivery with highest quality.

Qualifications:

• Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, Aerospace Engineering, or Controls Engineering.
• 5+ years' experience in SW program management, engineering management, engineering supervisory role, or a technical team leadership role in an embedded technical software discipline.
• 5+ years' experience in the usage of industry-standard project management tools for product development and delivery (MS Project or equivalent).
• 2+ years' experience in the usage of the JIRA work management tool or equivalent for product development and delivery.
• Ability to understand complex technical issues and to present adjusted levels of detail based on target audience.
• 5+ years of experience in product development for either automotive or similar high-volume/high-reliability markets.
• Very strong business English communication skills (verbal and written).
• Strong presentation skills with ability to tailor material and presentation style to varied audiences (Executive to working level, strategy to technical).

Preferred qualifications include a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering, or Controls Engineering, and 7+ years' experience in SW Program Management in an embedded technical software discipline within the automotive domain.

Salary and Benefits:

This position is a salary grade 7-8 and ranges from $120,000 - $165,000. For more information on salary and benefits, please visit the Ford Careers website.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

This position is hybrid (onsite four days per week) for candidates.

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This role is a key member of the team developing, integrating, and testing automotive audio amplifiers for current and future vehicles.

Responsibilities:

• Play a key role in the technical specification, design, development, and validation of high-performance automotive audio amplifiers, ensuring best-in-class performance from concept through production.
• Work closely with internal and external stakeholders, including hardware engineers, software developers, and suppliers, to integrate audio amplifiers solutions seamlessly into vehicle systems.
• Play a key role in the integration of audio amplifiers with other vehicle systems, ensuring compatibility and optimal performance.
• Develop and conduct rigorous testing and validation procedures to ensure the audio amplifier meets all performance and operational standards.
• Manage documentation related to audio amplifier development, including system specifications, standards, testing protocols, and validation results, within Ford systems.
• Act as an in-house technical expert for automotive audio amplifier technologies, providing support for troubleshooting, program delivery, and continuous improvement initiatives.
• Stay abreast of the latest advancements in audio and amplifier technologies, automotive audio trends, and software development techniques to drive innovation and maintain a competitive edge.

Qualifications:

• Bachelor's degree in Electrical/Electronic Engineering, Computer Science, Software Engineering, or a related field.
• 3+ years experience in the development, implementation, and maintenance of automotive audio amplifiers.
• 3+ years experience with product development methodologies, including Agile, and development tools like Jira and Confluence.
• 3+ years experience in integrating amplifiers into vehicle systems including knowledge of automotive communication protocols such as CAN and A2B and associated tools (e.g. CANoe).
• 3+ years experience using simulation and analysis tools for amplifier development and evaluation including Python, with a solid understanding of audio signal processing and acoustic measurement techniques.

Experience Level: mid Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Automotive Salary Range: $84,480-$150,000 Salary Min: 84980 Salary Max: 150000 Salary Currency: USD Salary Period: year Required Skills: ["Electrical/Electronic Engineering", "Computer Science", "Software Engineering", "Audio Signal Processing", "Acoustic Measurement Techniques", "Python", "Jira", "Confluence", "Agile", "CAN", "A2B", "CANoe"] Preferred Skills: []

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Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact.

Because when our customers win, we all win.

The Role

We are looking for a seasoned Product Manager to own the end-to-end CockroachDB Data Onboarding user journey , the critical on-ramp for every CockroachDB customer. You will define the strategy, product direction, and measurable outcomes that transform complex migrations from databases like PostgreSQL, Oracle, MySQL, and SQL Server into a predictable, low-friction, and self-service experience, powered by AI-native tooling.

Your north star: any user can go from schema introspection to a successful data load in under an hour. This is a deeply customer-centric role that sits at a critical inflection point in CockroachDB’s growth. Migrations are among the most painful and high-stakes steps in adopting any database platform , and a friction point in our sales motion today.

The migration experience spans schema conversion, bulk data ingestion, compatibility validation, and live cutover, and it must work seamlessly across a diverse set of source databases and deployment environments. Strong data onboarding shortens time-to-production, reduces dependency on professional services, and builds early trust in the platform. This is CockroachDB’s front door, and you will define what it means to walk through it confidently.

Large language models are poised to fundamentally transform what is possible with database migrations, turning what has historically been one of the most manual, expert-intensive workflows in enterprise software into something that could be self-service. As the PM for Data Onboarding, you will be at the frontier of a new class of AI-native developer tooling, and you will wrestle with some of the most interesting product questions of our time:

What are the right economics of embedding LLMs in a migration workflow , and who bears the token costs?

Should customers bring their own model or API key, or does CockroachDB provide a fully managed AI experience hosting the models ourselves?

How do you design for trust when an LLM is making schema decisions on behalf of a DBA?

How do you measure and improve AI accuracy in a domain where a wrong data type mapping can break production?

These are open questions without obvious answers, and this role puts you squarely at the center of defining them.

You Will

Own the end-to-end journey. Lead the full lifecycle of the Data Onboarding experience , from initial schema introspection through data load, cutover, and post-migration validation , across all supported source databases.

Define metrics that capture migration completion rates, time-to-value, and customer support signal to surface gaps and drive continuous improvement across all customer personas: Architects, DBAs, and Developers.

Build a problem-first, data-driven strategy. Deeply understand the pain customers face during migrations: fragmented tooling, incomplete compatibility coverage, manual workarounds, and the lack of prescriptive guidance that leaves teams without a clear path forward.

Define a roadmap that balances AI-augmented schema conversion, unified migration tooling, expanded database source coverage, and self-service capabilities , prioritizing using a combination of qualitative customer signals and quantitative migration funnel data.

Deliver measurable outcomes. Set and track success metrics spanning self-service migration completion rates, reduction in migration-related professional services engagements, and time-to-first-successful-import.

Ensure product changes deliver real, validated value and iterate rapidly when they don’t.

Lead with clarity and customer centricity. Act as the voice of the customer , particularly Architects evaluating migration risk and DBAs managing the cutover process , in all strategic decisions.

Communicate complex migration trade-offs clearly across Engineering, Marketing, Sales, and Executives, aligning teams around a coherent narrative: migrating to CockroachDB is fast, low-risk, and genuinely self-service.

Drive cross-functional alignment on how data onboarding improvements shorten sales cycles and reduce professional services dependency.

Apply an AI-first mindset. Lead the development and evolution of AI-native migration tooling as the centerpiece of a unified, end-to-end migration experience.

Identify opportunities to apply large language models to schema conversion, data type mapping, error remediation, and migration guidance , eliminating hard-fail outcomes and reducing the manual effort that defines migrations today.

The Expectations

In the first 30–60 days, you will go through PM onboarding with your onboarding mentor (Roachmate). You will familiarize yourself with CockroachDB’s current migration tooling. You will run a complete end-to-end migration from a PostgreSQL or Oracle source, experiencing the workflow firsthand: schema conversion, compatibility gaps, bulk loading, and verification.

You’ll review the existing backlog, speak with customers and prospects who have recently migrated (or stalled), and align with Engineering leads across the migration tooling teams.

After 90 days, you will be fully integrated into the team. You will have conducted deep customer calls to understand migration blockers, support escalations, and the specific friction points that slow or derail time-to-production.

You will own the strategy and a prioritized roadmap with clear problem statements backed by migration funnel data and customer evidence.

As the owner of CockroachDB’s front door, you will advise senior leadership on how data onboarding investments drive new lands, reduce professional services costs, and shorten sales cycles.

You will partner closely with Sales to ensure migration narratives are field-ready and directly tied to product capabilities you are shipping.

You Have

A computer science degree and/or first-hand experience building products focused on databases, data engineering, ETL/ELT pipelines, or developer tooling

4+ years of total work experience with enterprise or SaaS products

Proven track record of improving user journeys while leveraging both qualitative and quantitative data

Delivered successful customer-facing products or features by partnering with senior Engineering teams in a fast-moving environment

Background working directly with medium-to-large enterprises , understanding their operational and economic constraints, setting proper timelines, and managing expectations with internal stakeholders and external teams

Experience driving business results through influential communication and cross-functional stakeholder management across Engineering, PMM, Sales, and Finance

A collaborative approach and eagerness to partner with other product teams and all functions in the company, including Legal, Finance, Marketing, and Sales

Nice to Have

An MBA and/or experience working with business stakeholders (e.g., Sales, Revenue)

Familiarity with database migration tools, schema conversion, or ETL/ELT systems

Experience building AI-assisted or LLM-powered developer tools

The Team

Reporting to Lakshmi Kannan, Sr. Director of Product Management. Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly.

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Responsibilities:

• Own component data and governance in PLM (part creation, attributes, AML/AVL, lifecycle states)
• Review and approve new component requests
• Define baseline quality requirements for COTS components and enforce them through design BOM reviews
• Monitor and assess PCNs and lifecycle changes (NRND/EOL), and drive mitigation actions through Engineering Change Orders (ECOs)
• Partner with Electrical Engineering to select components that meet performance, cost, and availability targets
• Build and maintain preferred parts lists and approved vendor lists (AVL)
• Support supply chain with alternate part evaluations and second-sourcing strategies
• Engage directly with suppliers to resolve technical questions

Required qualifications:

• B.S. in an engineering field.
• 5+ years of relevant experience
• Understanding of Product Lifecycle Management (Arena, Teamcenter), ECAD tools (Altium) and structured component libraries
• Strong judgment in balancing performance, cost and supply chain risk
• Demonstrated track record of ownership, high standards, and effective collaboration

Preferred qualifications:

• Degree in electrical engineering or computer science
• Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc)
• Knowledge of electrical component manufacturing processes and common failure modes.
• Proficiency in Python/SQL
• Experience writing specifications/standards for internal company distribution

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Conduct rigorous testing and evaluation of Group 3 UAS to ensure performance and reliability. Deploy to remote test sites within the US, with opportunity to support trials in overseas locations. Participate in weekly stand-ups and provide progress reports to program and T&E leadership. Develop and execute focused test plans for internal and customer trials. Develop and implement baseline safety plans to mitigate risks during testing. Communicate effectively within the team and across the organization.

Bachelor’s degree in engineering or a related technical field required. 2-5+ years of experience in UAS integration, testing, and project management. Ability and willingness to travel >75% time to remote locations in the US and overseas. Understanding of the National Airspace System and UAS regulations. Practical experience with large UAS testing and development. Strong grasp of engineering principles and technical concepts. Ability to organize, coordinate work effectively, and document thoroughly. Familiarity with rotary-wing and fixed-wing aerodynamics and flight control systems. Excellent communication and interpersonal skills. Self-motivated and able to work independently and in teams. Flexibility to work extended hours as needed. FAA Part 107 certificate holder. Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Advanced degree in engineering, robotics, computer science, or a related field preferred. Hands-on experience with complex and autonomous UAS. US Salary Range $100,000-$141,000 USD.

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Applications Engineering, Staff Engineer

Seongnam-si, Gyeonggi-do, South Korea

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Hire Type EmployeeJob ID 17125Date posted 04/23/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a highly motivated Staff Engagement Applications Engineer with over 6~ 8 years of hands-on experience in synthesis or formal verification for Tape out project. Your technical expertise helps customer to succeedfor most of Tape out projects to our worldwide key customers to accelerate business growth. You thrive in dynamic environments and possess excellent communication skills, including a strong command of English. Your background in EE/CS, coupled with your experience with EDA tools like DC, Formality, RTLA, and Fusion Compiler, makes you an ideal fit for this role.

What You’ll Be Doing:

• Providing front-end (Synthesis, Equivalence Check) technical support to field engineers, technicians, and product support personnel.

• Diagnosing, troubleshooting, and debugging complex electro/mechanical equipment, computer systems, and software.

• Collaborating with customers to understand their technical requirements and deliver tailored solutions.

• Conductingtraining sessions and workshops for both customers and internal teams.

• Developing andmaintainingtechnical documentation and support materials.

• Working closely with the development team toidentifyand resolve product issues.

The Impact You Will Have:

• Enhancing customer satisfaction by deliveringtimelyand effective technical support.

• Contributing to the development and enhancement of Synopsys products.

• Helping customers maximize the value of Synopsys technologies.

• Reducing downtime and increasing the efficiency of customer operations.

• Strengthening customer relationships and building trust in Synopsys.

• Driving continuous improvement in support processes and best practices.

What You’ll Need:

• Bachelor’s degree orMaster's degree in Electrical Engineering, Computer Science, or a related field.

• Solid understanding of semiconductor and software technologies.

• Minimum6~8 years of hands-on experience with tape-out project execution.

• Experience in troubleshooting and debugging complex systems.

• Experience with scripting languages likeC/C++,PerlandTcl.

• Strong understanding of ASIC design flow, VLSI, and CAD development.

• Excellent analytical and problem-solving skills.

Who You Are:

• Excellent communicator with strong interpersonal skills.

• Detail-oriented and highly organized.

• Proactive and self-motivated.

• Adaptable and able to thrive in a fast-paced environment.

• Collaborative team player with a positive attitude.

The Team You’ll Be A Part Of:

You will join a dynamic and innovative team focused on supporting and driving customer success. Our team collaborates closely with customer to drive technological advancements and provide top-tier support to our customers. We are passionate about pushing the boundaries of what's possible in chip design and software security, and we are looking for like-minded individuals to join us on this exciting journey.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Within the team, you'll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance.

In this position, you'll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as:

• Apply DPO (direct preference optimisation) to pre-trained models.
• Adapt models to extend their capabilities, for instance, by changing conditioning inputs.
• Build solutions for dubbing and evaluate the quality of lip-sync.
• Implement post-training optimisation techniques, such as quantisation, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
• Analyse and address challenges related to model performance, ensuring high-quality output in avatar rendering.
• Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimisation methods.

You have a background in Computer Vision / Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD.

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Deliver impressive player experiences of large-scale game moments involving design leadership, design team, production, artists, engineers, and animators.

Assess the current quality of scripted moments and execute an efficient plan for bringing them to shippable quality through collaboration with all departments.

Be an expert at all implementation aspects of the game and engine, able to tackle any issue large or small.

Solve complicated technical problems and design smart solutions in an efficient manner that does not compromise on player experience.

Ship bug-free, highly polished experiences that push the industry standard for AAA quality.

Become an extremely helpful wealth of knowledge for other team members to query on the inner-workings of the game and engine.

Ideally, you will have 7+ years' experience in the games industry working as a designer, shipping at least two titles.

Expert-level understanding of Unreal Engine 5 including its tools and systems such as Sequencer, World Partition, AI, and more.

Experience with text-based scripting, visual scripting, and/or programming languages.

Computer Science or related degree.

A team-player mindset, understanding the importance of collaboration, and able to communicate effectively with all disciplines and departments.

A positive, solution-oriented attitude and passion about the play experience, with a wealth of knowledge across a wide range of games.

An understanding of the Jedi franchise and how to deliver an elevated player experience within its framework.

C++ proficiency is a bonus.

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As a Data Analyst, you will be part of a growing group working with the franchise's production and technical teams. We're looking for someone with experience analyzing business and player impacts in a live service environment, building dashboards, and driving insights from complex, multi-source datasets for early detection and reporting.

Key responsibilities include:

• Analyzing and monitoring game health metrics to improve player connection quality and overall gameplay experience.
• Writing and maintaining complex SQL and scripting workflows to extract, transform, and validate large-scale telemetry data.
• Building and maintaining technical dashboards and reports that enable our team and our partners to identify trends in our data on system health and operational performance.
• Exploring user behavior patterns to identify opportunities to improve the player experience.
• Developing insights to help our partners make informed decisions about FC's live operations.

Requirements include:

• A bachelor's degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, Data Engineering, Computer Science, or a related field.
• 2+ years of experience in a technical analytics role performing quantitative analysis with big data to help guide decisions.
• Experience in SQL and ability to extract data from large data sources with differing structures.
• Experience with data visualization software (e.g. Tableau, PowerBI).
• Proficiency in programmatic analytic tools (e.g. Python, R), with experience writing scripts for data extraction, transformation, and analysis of large datasets.

Pay is $77,700 - $107,900 CAD per year, depending on location. Benefits include vacation, sick time, paid top-up to EI/QPIP benefits, extended health/dental/vision coverage, life insurance, disability insurance, retirement plan, and bonus and equity.

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As an Associate Systems Owner, you will manage a dynamic systems portfolio within our Customer Experience organization, leveraging your background in technology and collaboration to build empathetic, player-first support experiences.

Key responsibilities include:

• Partnering with Technology & Services partner teams to deliver full-spectrum solutions
• Building strong, collaborative relationships with stakeholders to ensure stakeholder needs are actively considered
• Exploring data from your systems and stakeholders to formulate and share actionable insights
• Understanding the needs of EA players and fans, applying these insights to formulate system strategies and roadmaps that align with EA's business goals
• Introducing new systems and enhancements, partnering with Management and fellow Systems Owners to ensure predictable, effective delivery
• Prioritizing and managing systems backlogs, keeping development partners and stakeholders updated on priority shifts
• Identifying and mitigating system risks while developing effective contingency plans

The ideal candidate will have 3+ years of experience in Computer Science, Information Systems, Technology Consulting, and/or related disciplines, with a proven ability to partner with IT to transform complex business needs into high-quality Business Requirement Documents (BRDs) and technical specifications.

Additional requirements include:

• 2+ years of experience working with Customer Service tools (CRMs, Admin tools) in Technical or Program Management roles
• 2+ years of experience using Agile methodologies to manage business and technical stakeholder interests with a people-first approach and a bias for action
• Proficiency in managing ambiguity through analytical thinking and decisive communication in rapidly evolving technical environments and contexts
• A forward-thinking advocate for AI and emerging tech, leveraging strong communication skills to advocate for and implement innovative solutions

In return, we offer a competitive salary and benefits package, including healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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We are the Audi Revolut F1 Team. Audi will compete in the FIA Formula 1 World Championship starting in 2026. The team has three locations. Audi's Motorsport Competence Center in Neuburg, Germany, is considered one of the most modern of its kind in Europe. The Formula 1 Factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Audi Motorsport Technology Centre, UK, is in its launch phase and growing continuously. Our power unit comes from Neuburg, while Hinwil is responsible for chassis development and race operations.

What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

Celebrate International Women in Engineering Day with us – and get an unforgettable behind-the-scenes look at the development of the Audi F1 factory!

On June 23, 2026, we will open the doors of the Audi Motorsport AG in Hinwil for a day dedicated entirely to you and your passion for technology, innovation and motorsport.

Dive into the exciting world of Formula 1 development, experience the atmosphere of our modern facility and meet the women who push boundaries, embrace new challenges and help shape the future of motorsport every single day.

Why Join Us?

What you can look forward to

A day full of inspiration, energy and unique experiences awaits you:

• Captivating expert talks on technology, motorsport and innovation

• Direct exchange with engineers and specialists from Audi Motorsport AG

• Networking opportunities with other talented participants

Requirements

To participate in this exclusive event, you should bring the following:

• Enrolled at a university or college

• Studies in a technical field, such as Mechanical Engineering, Electrical Engineering, Automotive Engineering, Computer Science, Mechatronics, or similar disciplines

• Strong interest in motorsport / Formula 1

• Passion for technology, innovation, and modern propulsion systems

• Motivation to actively participate – enjoying exchange, asking questions, and networking

And of course, we’ll take care of your well-being – food and drinks will be provided throughout the day.

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As a student assistant, you will have the opportunity to work on various projects and contribute to the development of new products and processes. You will be part of a dynamic team that values innovation, teamwork, and continuous learning.

To be successful in this role, you should have a strong academic background in engineering, economics, or computer science, and be able to work independently and as part of a team. You should also have excellent communication and problem-solving skills, and be able to adapt quickly to new situations.

In addition to your academic qualifications, you should have a passion for quality and a desire to learn and grow with the company. You should be able to work in a fast-paced environment and be willing to take on new challenges and responsibilities.

As a student assistant at Porsche, you will have the opportunity to gain valuable work experience and build a strong network of contacts in the industry. You will also have access to training and development opportunities to help you achieve your career goals.

If you are a motivated and enthusiastic individual who is looking for a challenging and rewarding role, we encourage you to apply for this position.

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This position plays a crucial role in our go-to-market strategy, identifying and qualifying potential customers across all segments from SMB to Enterprise. You'll be the first point of contact for many prospects, setting the tone for their Replit experience.

We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for technology and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.

Responsibilities:

Generate and qualify new sales opportunities through both inbound lead follow-up and outbound prospecting activities

Research target accounts and create personalized outreach strategies to engage potential customers

Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC era

Articulate Replit's value proposition and align it with customers' business challenges

Schedule and coordinate meetings between qualified prospects and Account Executives

Maintain accurate prospect data and activity logging in Replit's CRM (Hubspot)

Collaborate with marketing to provide feedback on lead quality and campaign effectiveness

Continuously refine outreach approaches based on performance data

Meet or exceed monthly and quarterly qualification quotas

Required skills and experience:

0-2 years of experience in sales development, lead generation, or similar customer-facing role

Excellent written and verbal communication skills

Self-starter with strong organizational skills and attention to detail

Resilience and persistence in the face of rejection

Ability to quickly learn and articulate the value of new technologies

Experience with or willingness to learn CRM systems and sales tools (e.g., Hubspot, LinkedIn, ZoomInfo, Clay, SmartLead)

Strong listening skills and ability to identify customer pain points

Passion for technology and staying current with industry trends

Experience with or strong interest in AI and machine learning is a plus

Nice to have:

You're an active Replit user

You've worked at an early-stage startup or in developer tools

Basic understanding of software development or coding concepts

Experience with multi-channel prospecting (email, phone, social)

Degree in Computer Science or related field (or equivalent practical experience)

Tools + Tech Stack for this role:

Replit

Hubspot CRM

ZoomInfo

Clay

SmartLead

LinkedIn Sales Navigator

Hashboard, Hex

This role may not be a fit if:

You're not based in the London area

You have no interest in understanding the software development lifecycle or learning basic coding concepts

You're not passionate about AI

You prefer independent work with minimal client interaction

You're uncomfortable with a fast-paced startup environment where priorities may shift quickly

Note: This role will begin as remote, with plans to transition to a hybrid model once we establish a local office presence.

Full-Time Employee Benefits Include:

Competitive Salary & Equity

401(k) Program with a 4% match

Health, Dental, Vision and Life Insurance

Short Term and Long Term Disability

Paid Parental, Medical, Caregiver Leave

Commuter Benefits

Monthly Wellness Stipend

Autonomous Work Environment

In Office Set-Up Reimbursement

Flexible Time Off (FTO) + Holidays

Quarterly Team Gatherings

In Office Amenities

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You will have the opportunity to dive into the exciting world of Formula 1 development, experience the atmosphere of our modern facility, and meet the women who push boundaries, embrace new challenges, and help shape the future of motorsport every single day.

The day will feature captivating expert talks on technology, motorsport, and innovation, direct exchange with engineers and specialists from Audi Formula Racing GmbH, networking opportunities with other talented participants, and an exclusive guided tour through the Motorsport Competence Center.

To participate, you should be enrolled at a university or college, studying in a technical field such as Mechanical Engineering, Electrical Engineering, Automotive Engineering, Computer Science, Mechatronics, or similar disciplines. You should also have a strong interest in motorsport, powertrain development, or vehicle development, and a passion for technology, innovation, and modern propulsion systems.

Food and drinks will be provided throughout the day. Travel to and from the event is at your own expense, but a free shuttle service from Neuburg an der Donau train station will be available.

Secure your place by sending us your application by May 08, 2026. We look forward to receiving your application!

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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.

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

The Safety Systems team is in need of a Technical Program Manager to streamline our full safety stack and integration of various safety research and mitigations into ChatGPT and our API. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders , ranging across research, product, engineering, legal, and policy , and ensuring all the risks are effectively and properly monitored, mitigated, or resolved.

About the Role

As a Safety Engineering TPM, you will be responsible for critical tasks ranging from tracking safety engineering progress and risk tables to overseeing critical data infrastructure programs, acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety infrastructure investments. Your primary focus will be to build a foundational layer to support the safety of all of our models and products.

Responsibilities

• Manage key risk areas and corresponding stakeholders.

• Work directly with safety engineers, engineering managers, and product managers to build common safety infrastructure.

• Manage data and compute infrastructure, including data residency and capacity planning.

• Design and run key internal programs, including incident management and processes for regularly updating our safety mitigations.

• Prioritize and manage a portfolio of infrastructure requests from other internal teams.

Requirements

• Have an undergraduate or graduate degree in computer science or computer engineering, or a demonstrated track record of engineering expertise.

• Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines.

• Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber.

• Have expertise in designing and implementing simple, scalable processes that solve complex problems.

• Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.

• Have strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines.

• Have exceptional written and verbal communication skills.

• Care about AGI safety.

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.

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Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

Software Engineering Managers are engineers themselves. You will work on a large and complex application with hundreds of other engineers and experts in Mobile. As a manager, you will be leading from the front for a team that supports building a digital environment for our vehicles. If you want to lead other engineers on this vital application and be part of the automotive evolution making a local and global impact, please consider applying for this opportunity!

Responsibilities

• Lead software engineering teams that deliver end-to-end software products from conception to production for millions of drivers around the world.
• Manage and grow software engineers by providing regular performance feedback, career coaching, and development opportunities.
• Lead with customer focus alongside partners in the software development triad, including Digital Product + Digital Design, to deliver high-quality features to our customers
• Actively participate in reviewing, evaluating, and providing feedback on product designs and architectures with a software engineering focus.
• Actively seek to improve the engineering delivery pipeline reducing cycle time and increasing quality and security posture.
• Apply advanced concepts, theories, and principles to create multi-disciplinary innovations and solutions for the most complex or risky business situations.
• Develop and socialize new engineering principles and practices to improve the organization.
• Provide thought leadership and perspective across multiple organizations to eliminate knowledge silos.
• Drive continuous improvement and build a learning organization.
• Evaluate and recommend new and emerging products and technologies.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field or a combination of education OR equivalent work experience
• 6+ years of professional work experience, with 4+ years of hands-on software engineering experience in mobile applications.
• 2+ years of experience in a leadership role managing people, leading teams, and delivering software products to market
• Strong verbal and written communications skills with the ability to influence the enterprise

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To join our talent pool, you should possess a bachelor's degree in engineering, preferably with knowledge in industrial technologies, telecommunications, aeronautics, computer science, data science, or mechatronics. Additionally, you should have a high level of English proficiency, equivalent to C1 or higher.

While a bachelor's degree in engineering is required, we will also consider candidates with knowledge in digital technologies, such as artificial intelligence, data analysis, digitalization, and connectivity. Furthermore, knowledge in automation technologies, including collaborative robotics, mobile robotics, vision artificial, and additive manufacturing, is highly valued. Familiarity with electrification and vehicle connectivity is also an asset.

As a member of our talent pool, you will have access to various career opportunities within Ford España, including full-time positions in engineering, research and development, and other related fields.

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At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take-charge, take-initiative, get-stuff-done individual we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

As the Head of People Analytics & Innovation, you will build and lead ZoomInfo's people analytics function from the ground up. Reporting to the SVP of Organizational Effectiveness, you will own the end-to-end analytics strategy for HR , designing and shipping AI-powered tools, predictive and prescriptive models, dashboards, and research that drive executive decision-making on talent, workforce planning, and employee experience. This is a hands-on, player-coach role: you will set the vision for what we build, write the code to build it, and hire and develop a small, high-impact team (2 ICs) to scale the function. The ideal candidate combines deep technical fluency (Python, statistics, SQL, AI/ML) with the strategic judgment to translate people data into business outcomes and the builder mentality to stand up new capabilities from scratch.

Responsibilities

• Build and lead ZoomInfo's People Analytics & Innovation function, including hiring, developing, and managing two individual contributors
• Define and execute the people analytics strategy and roadmap, translating HR and business priorities into a pipeline of high-impact analytics projects and AI-powered tools
• Design and build custom AI tools, automation, and applications (using Python, MCPs, LLMs, and related technologies) that fundamentally improve how HR operates and makes decisions
• Develop predictive and prescriptive models across workforce planning, attrition/retention, engagement, talent mobility, and employee experience
• Create and maintain executive-ready dashboards, reports, and data visualizations that surface actionable insights for senior leadership
• Own the design, deployment, and analysis of enterprise-wide qualitative instruments (e.g., employee surveys, pulse checks) and synthesize findings into strategic recommendations
• Partner with HR leadership and cross-functional stakeholders to identify high-value analytical questions, scope projects, and deliver data-driven recommendations
• Transform complex analytical findings into clear, compelling narratives and presentations for executive audiences, including the ELT
• Establish scalable data infrastructure, governance frameworks, and measurement processes that enable a self-service analytics culture over time
• Stay current on emerging trends in people analytics, AI/ML, and HR technology , and proactively identify opportunities to apply them at ZoomInfo
• Collaborate with global Compliance, Privacy, Legal, and Risk teams to ensure people analytics initiatives adhere to regulatory requirements, data privacy standards, and internal governance policies
• Partner with enterprise Data Engineering and Infrastructure teams to architect, test, and deploy analytics solutions and AI tools into production environments
• Foster a team culture of experimentation, intellectual curiosity, and bias toward action

Requirements

• 8+ years of progressive experience in people analytics, workforce analytics, HR data science, or a related quantitative field
• 3+ years of experience managing or leading an analytics team, including hiring, coaching, and developing talent
• Demonstrated experience building AI/ML tools, applications, or automation from scratch in a professional setting (not just model training , full product delivery)
• Strong hands-on proficiency in Python and SQL; experience with data manipulation, statistical modeling, and building production-grade scripts and applications
• Experience working with modern AI/ML tools and frameworks (e.g., LLMs, GenAI APIs, MCP architecture, NLP)
• Proven ability to design and execute enterprise survey programs and translate qualitative data into quantitative insights
• Exceptional data storytelling skills , ability to synthesize complex analysis into clear, executive-ready communications
• Experience working with HRIS platforms (e.g., Workday) and analytics/BI tools (e.g., Snowflake, Tableau, Looker, or similar)
• Demonstrated track record of operating as a player-coach: setting strategy while personally delivering technical work
• Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, I/O Psychology, Economics, Computer Science, or related)

Preferred

• Master's or Doctoral degree in a quantitative, business, or social science field (e.g., I/O Psychology, Data Science, Statistics, Organizational Behavior, Economics, Computer Science)
• Experience building a people analytics function or team from scratch
• Familiarity with MCP (Model Context Protocol) architecture and building AI agent workflows
• Experience with Workday RAAS reporting and Snowflake data environments
• Background in building self-service analytics platforms or democratizing data access within an organization
• Experience at a high-growth technology company or a company that has undergone significant organizational transformation

Compensation

The US base salary range for this position is $134,400 - $249,600 + bonus + equity + benefits.

Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

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You will operate across architecture, circuits, memory, RTL, physical implementation, and integration technologies to turn ambitious product goals into manufacturable silicon. This role is not limited to analysis or pathfinding,you will be expected to develop solutions, prototype ideas, drive execution, and close critical gaps.

The ideal candidate is a hands-on generalist with strong engineering judgment, deep circuit intuition, broad semiconductor knowledge, and a habit of using AI tools to move faster and make better decisions.

Key responsibilities include: Partner with architecture and system teams to translate product goals into executable silicon construction strategies. Drive hands-on optimization of power, performance, area, cost, and reliability across the silicon stack. Develop and implement solutions spanning circuits, memory, RTL, physical design, and integration. Use and build AI-driven tools, flows, and methodologies to accelerate silicon implementation. Evaluate new technologies and convert them into reliable product constructions optimized for performance, performance/TCO, and performance/W.

Requirements include: BS with 12+ years, MS with 10+ years, or PhD with 6+ years of relevant industry experience in chip design or implementation. Strong hands-on expertise in circuits and implementation-driven PPA optimization. Deep knowledge of semiconductor technologies including memory, advanced nodes, packaging, and 3D integration. Hands-on experience with RTL design and physical implementation through tapeout. Proven ability to work across disciplines and solve complex technical problems end-to-end. Strong use of AI tools for engineering productivity, analysis, coding, or design optimization. Excellent technical communication and collaboration skills.

Preferred qualifications include: Strong first-principles understanding of AI chip architectures and training/inference workloads. Experience improving silicon products through innovations in performance, power, cost, yield, or reliability. Experience with HBM, SRAM, memory hierarchy design, or memory-centric optimization. Experience building internal tools, models, or automation used by engineering teams. Research lab experience and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.

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Responsibilities:

Trend Forecasting: Monitor global consumer electronics trends and translate them into a compelling automotive accessory roadmap.

Business Case Development: Own the P&L for the CE accessories portfolio. Develop robust business cases, pricing strategies, and take-rate forecasts for both Factory-Installed Options (FIO) and Dealer-Installed Options (DIO).

Lifecycle Synchronization: Develop strategies to decouple fast-moving consumer electronics lifecycles from traditional vehicle development cycles, ensuring Ford vehicles always offer fresh, relevant tech.

Requirements Definition: Write comprehensive Product Requirements Documents (PRDs) that bridge consumer tech features with automotive-grade requirements.

Ecosystem Integration: Champion the software integration of accessories with the vehicle’s infotainment system and the FordPass mobile app, ensuring a seamless, single-ecosystem user experience.

Cross-Functional Leadership: Lead matrixed teams across Electrical Engineering, Software Development, Vehicle Integration, UI/UX, and Automotive Safety to deliver products on time and on budget.

Strategic Partnerships: Identify, negotiate, and collaborate with leading consumer electronics brands, Tier 1/Tier 2 suppliers, and Contract Manufacturers to co-develop or white-label innovative hardware and software.

Licensing & IP: Work with legal and business development teams to manage software licensing, data privacy compliance, and intellectual property integration for third-party tech.

Launch Strategy: Develop GTM plans in partnership with Vehicle Program Management, Marketing, and Sales to bundle CE accessories into high-value vehicle packages or standalone retail offerings.

Over-the-Air (OTA) Updates: Define the OTA roadmap for connected accessories, ensuring hardware can receive feature enhancements, bug fixes, and security patches post-purchase.

Performance Analytics: Monitor customer telemetry, app store reviews, and warranty data to drive continuous product improvement and inform next-generation accessory designs.

Qualifications:

Bachelor’s degree in electrical engineering, computer science, product design, or business. Master’s degree or MBA preferred or equivalent combination of relevant education and experience.

Experience managing products that require companion mobile apps, cloud connectivity, and physical hardware integration.

Familiarity with automotive electrical architectures and automotive-grade testing standards.

Deep understanding of hardware development lifecycles and modern Agile software development methodologies.

Strong intuition for user experience, specifically regarding driver distraction guidelines and seamless human-machine interfaces.

Proven ability to manage complex relationships with external tech companies and contract manufacturers.

Relentless drive to challenge the automotive status quo and bring 'Silicon Valley' speed and innovation to vehicle accessories.

Comfort operating in a highly matrixed environment, successfully bridging the cultural and operational gaps between software developers, hardware engineers, and commercial teams.

Dedication to creating 'surprise and delight' moments for the customer through flawless tech integration.

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.

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Your goal is to move the studio from traditional CAD process to an AI-augmented environment where the "emotive character" of a design is protected by intelligent, real-time engineering feedback.

Responsibilities:

• Architect AI Agents: Develop and deploy custom AI agents to automate the monitoring of Design Development Checklists, data pedigree, and property setup integrity.
• Vibe Coding & Visual Scripting: Use natural language-based programming (vibe coding) to create bespoke Python scripts or macros within Catia/3DX that automate repetitive "Studio property" setups and manikin drops.
• Generative 3D Scaffolding: Lead the development of Surface Scaffold files by integrating AI-assisted 3D modeling tools (e.g., Vizcom, Luma AI, or Generative CAD) to rapidly explore "what-might-be" scenarios before committing to formal A-surface.
• Intelligent Feasibility: Lead the completion of studies within Design Feasibility Checkpoint Process by using legacy and predictive AI models to identify potential hardpoint or legislative conflicts earlier than traditional methods allow.
• Augmented Integration: Lead the integration of A-surface with thematic and functional inputs, using AI to ensure the emotive character of the art is preserved while meeting strict engineering and attribute requirements.
• Provocation & Optimization: Provide concept alternatives through generative design prompts, using AI to provoke new ways of reconciling thematic intent with program assumptions.
• Data Orchestration: Manage the flow of data into and out of the studio using automated pipelines, ensuring the "data pedigree" is maintained via intelligent version control.

Qualifications:

• Bachelor of Science Degree in Mechanical Engineering, Automotive Engineering, or Computer Science with a focus on Design.
• 3+ years of experience in complete vehicle layout/package, including Body and Trim.
• 1+ years of experience in Catia V5 or 3DX.
• Demonstrated experience in "Vibe Coding" (e.g., using Replit, Cursor, or LLMs to build functional tools/scripts without deep manual coding).
• Familiarity with AI-3D Workflows: Experience with generative design tools or text-to-3D/image-to-3D pipelines.

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.

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We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges.

Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, query and document understanding, retrieval and reranking model for search results optimization, as well as AI search grounding, etc.

We are seeking a highly motivated and experienced Senior Applied Scientist with solid machine learning expertise and can adopt state-of-art AI technologies to improve the relevance for the next generation of search.

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive.

We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely.

We collaborate regularly across the company to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

You will master one or more subareas and build expertise across a broad research landscape, including advanced research methodologies and applied techniques.

You’ll develop deep knowledge of a service, platform, or domain, and identify product opportunities by sharing emerging industry trends and applied technologies.

You will review business requirements and incorporate research insights to meet strategic goals.

You’ll provide direction on the types of data needed to solve complex problems and apply deep subject-matter expertise to drive measurable business impact.

You will support the onboarding of junior team members and help develop academic collaborators into effective contributors within multidisciplinary teams.

You’ll identify promising research talent, engage with the academic community, and strengthen Microsoft’s long-term recruiting pipeline.

You will document ongoing work, experimental results, and research findings to promote transparency and innovation.

You’ll also apply your understanding of fairness and bias to help shape ethics and privacy policies related to research processes and data collection.

You will advance LLM post-training and alignment techniques by designing, implementing, and evaluating novel methods that improve reasoning quality, safety, controllability, and factual grounding across large-scale models.

You will develop next-generation search capabilities by building and optimizing retrieval, ranking, and relevance systems that integrate deeply with LLM-powered experiences.

You will architect and refine RAG pipelines that enhance retrieval fidelity, reduce hallucinations, and deliver more context-aware, user-aligned responses in production environments.

You will translate research into production by running experiments, analyzing results, and collaborating with engineering partners to deploy scalable, reliable model improvements.

You will drive scientific rigor through hypothesis-driven experimentation, reproducible methodologies, and clear documentation of findings, insights, and model behaviors.

You will collaborate across disciplines,including research, engineering, product, and design,to shape long-term strategy for search, alignment, and retrieval-augmented systems.

You will monitor and evaluate model performance using quantitative metrics, qualitative assessments, and user-centric evaluation frameworks to ensure continuous improvement.

You will contribute to a culture of innovation by sharing learnings, mentoring peers, and participating in internal research discussions, reviews, and technical deep dives.

Qualifications:

Required 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.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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.

5+ years of experience coding in Python, C++, C#, C or Java.

3+ year of industry experience applying Machine Learning techniques.

#MicrosoftAI #Core #Search #RankFun Applied Sciences IC4 – The typical base pay range for this role across the U.S.

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Build forecasting solutions and time-series models to project engagement, traffic, and revenue, and support scenario planning. Analyze large-scale data to identify trends, user behavior patterns, and content performance insights that improve product quality and recommendations.

Develop dashboards, reporting tools, and automated monitoring to track business health and compare actual performance against forecast. Build metric frameworks to detect anomalies, diagnose root causes, and provide timely insights when key business metrics shift.

Conduct business modeling to identify growth opportunities, evaluate trade-offs, and prioritize initiatives with solid long-term ROI. Design and analyze A/B tests to measure incremental impact, evaluate algorithm changes, and guide iterative improvements.

Apply predictive modeling, time-series analysis, and experimentation methods to improve forecasting accuracy and business performance. Communicate insights, forecasts, and recommendations clearly to technical and non-technical stakeholders to support informed decision-making.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

7+ years of experience in data science, statistical modeling, business analytics, forecasting, or data-driven strategy. Experience in product, web, and/or content analytics, with the ability to connect user behavior to business outcomes. Solid communication and storytelling skills, with the ability to translate complex analyses into clear business recommendations. Proven ability to manage stakeholders, prioritize effectively, and deliver actionable, data-driven insights. Experience working with large-scale event-level data and transforming raw data into metrics, dashboards, and analytical solutions using PySpark, Scala, or similar tools. Familiarity with content ecosystems, advertising, online shopping metrics, and the key drivers of engagement and monetization.

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Responsibilities:

• Define and own the end-to-end technical roadmap for Copilot image generation , from prompt understanding and model integration to evaluation, quality, and reliability.
• Establish architectural best practices for image generation pipelines, including prompt conditioning, safety filtering, multimodal grounding, and user personalization.
• Partner with research, product, and infrastructure teams to translate long-horizon vision into executable milestones.
• Serve as the primary technical decision-maker for model selection, integration approaches, and evaluation strategy.
• Lead the integration, evaluation, and launch of new image generation models and capabilities into Copilot surfaces.
• Drive improvements to first-run success rate, image quality, prompt adherence, and overall user satisfaction with generated images.
• Build and own the feedback loop from user signals to model and prompt iteration.
• Close the loop from production data to systematic improvements.
• Identify and resolve failure modes in image generation including safety gaps, quality regressions, prompt misinterpretation, and accessibility issues.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Preferred Master's degree or PHD or equivalent experience in Computer Science, Applied Math, Statistics, or a related field.
• 5+ years of industry experience in applied ML, AI product engineering, or related disciplines.
• 1+ years managing a team of engineers or data scientists.
• Demonstrated experience shipping production AI or ML systems at scale.
• Prior experience leading or mentoring engineers, including at formal tech lead and senior IC responsibilities.
• Hands-on experience building evaluation frameworks or quality systems for AI/ML products.
• Track record of driving measurable quality or performance improvements through systematic iteration.
• Direct experience with image generation models (diffusion models, GANs, multimodal models, etc.).
• Experience building and owning hillclimbing infrastructure for generative AI.
• Formal people management experience, including hiring and performance management.
• Experience working on consumer AI products with high user visibility and quality bar.
• Prior work in responsible AI for generative media, including safety filtering and content policy enforcement.

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In this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy.

Join us to shape the future of AI and deliver meaningful value to millions of users. 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.

Qualifications:

• Bachelor’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 Master’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 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.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 8+ years of experience in product development in machine learning and related areas.
• Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch.
• Active research in at least one of the following areas: LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing.
• Demonstrated excellence in communication and cross-team collaboration.
• Ability to think big while delivering measurable real-world impact through design and development.
• Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges.
• Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems
• Experience with Search or recommendations.

#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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We are a dynamic team of engineers and applied scientists, pushing the boundaries of Generative AI to deliver cutting-edge tools that drive impact at scale. We are looking for a Principal Applied Scientist to lead the development of the Copilot Chat Assistant to help advertisers navigate every step of their journey.

You will design and productionize systems that orchestrate multiple Large Language Models (LLMs) using Agentic Frameworks (e.g., Semantic Kernel) and leverages Vector Databases, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP) based tools to solve complex, multi-step tasks. Your work will directly impact the topline revenue metrics for Microsoft Advertising.

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:

Own the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.

Design multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.

Build robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.

Advance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.

Ship real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.

Mentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.

Measure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.

Qualifications:

Required Qualifications:

Bachelor’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 Master’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 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.

Preferred Qualifications:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

5+ years experience developing and deploying live production systems, as part of a product team.

7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Experience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.

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You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

ML / Modeling Leadership

Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.

Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).

Define long-term modeling strategy and roadmap with clear business impact.

Technical & Engineering Execution

Modernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.

Partner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.

Introduce best practices for experiment design, ablations, feature validation, and productionization.

Business & Product Impact

Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals.

Own model performance holistically: quality, stability, latency, and revenue impact.

Develop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.

Leadership & Mentorship

Mentor and up-level applied scientists and ML engineers across the organization.

Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.

Improve collaboration norms, documentation quality, and cross-team alignment.

Innovation & Tooling

Leverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.

Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.

Qualifications

Required/minimum qualifications

Bachelor’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 Master’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 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.

Additional or preferred qualifications

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

5+ years experience conducting research as part of a research program (in academic or industry settings).

3+ years experience developing and deploying live production systems, as part of a product team.

3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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You'll join this team to explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement. You'll design and analyze experiments to understand the impact of new features and product changes. You'll build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.

Key responsibilities include:

• Exploring how listeners experience Spotify Premium and identifying opportunities to improve conversion, retention, and engagement.
• Designing and analyzing experiments to understand the impact of new features and product changes.
• Building and orchestrating AI-powered analytical workflows to automate complex analyses and scale output.
• Defining and tracking meaningful metrics that reflect the health and value of the Premium experience.
• Developing dashboards and tools that help teams monitor performance and make informed decisions.
• Investigating user behavior trends and bringing forward insights that shape product direction.
• Partnering closely with cross-functional teams to align on goals and translate data into action.

Requirements include:

• 4+ years of experience in data science or analytics, working with product or business teams.
• Strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.
• Confidence working with large datasets and strong skills in SQL and Python.
• Experience designing and analyzing experiments and understanding how to measure impact with rigor.
• Comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.
• Experience applying AI or automation in analytics workflows by integrating LLM's to streamline multi-step analyses.
• Ability to communicate complex ideas in a clear, structured, and engaging way.
• Curiosity, proactivity, and comfort working in a fast-moving environment with some ambiguity.
• Enjoyment of collaborating across teams and building strong working relationships.

Benefits include:

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays

Salary range: $116,995 - $167,135, plus equity.

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As part of Microsoft AI, our team is taking a giant step in advancing and incorporating AI into our search experience, delivering new and exciting AI creation features with state-of-the-art models. There is no limit to creativity in our work, at a scale and reach that is unmatched.

As a Senior Applied Scientist in Bing Multimedia AIGC team, you will help us to build and improve AIGC experiences on Bing, that are extensible and usable on other Windows products, including Copilot. You will research and develop an understanding of metrics, tools, data workflows, hill-climbing methods used to measure AIGC’s success metric, and deep analysis of our product quality to inform strategic business directions.

Together with our business owners, you will be challenged with defining the best business measurement methodology to prove a working business model for how Search and Creations integrate as one product. You will also have the opportunity to fine-tune optimizations for our creation models.

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:

Leverages data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required by the analysis techniques selected.

Develops useable datasets for modeling purposes.

Scales the feature ideation and data preparation.

Takes cleaned or raw data and adapts data that for machine learning purposes.

Uses understanding of which features are important that come out of the model and identifies the optimal features.

Identifies gaps in current datasets and drives onboarding of new datasets.

Works with team to optimize signal system design.

Identifies gaps in current datasets and drives onboarding of new datasets (e.g., bringing on third-party datasets).

Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared and guides team to do so.

Influences the direction of the team.

Establishes the pipeline so that the team can conduct all of their experiments and data processing.

Uses data pipelines for training, as well as for shipping models which should execute correctly.

Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact.

Takes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups.

May publish research to promote receiving new intellectual property for business impact.

Independently works to create product impact.

Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product.

Designs an approach to solve significant business problems shared by a senior team member.

May publish research to promote receiving new intellectual property for product impact.

Performs documentation of work in progress, experimentation results, plans, etc.

Documents scientific work to ensure process is captured.

Creates informal documentation and may share findings to promote innovation within group or with other groups.

Uses deep understanding of fairness and bias.

May contribute to ethics and privacy policies related to research processes and/or data/information collection by providing updates and suggestions around internal best practices.

Seeks to identify potential bias in the development of products.

Helps address scalability problems by adjusting to stakeholder needs.

Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models.

Applies the model to real products, and then verifies effects through iterations.

Experiments by putting multiple models in production and evaluating their performance.

Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails.

Monitors over time for input and output data that there are changes over time.

Uses system to run analyses on an ongoing basis such as by comparing predicted value with actual value.

Collaborates with others and helps lead others to leverage data to identify pockets of opportunity to create state-of-the-art algorithms to improve a solution to a business problem.

Consistently leverages knowledge of techniques to optimal analysis using algorithms.

Identifies opportunity areas regarding new statistical analyses and drives solutions.

Uses statistical analysis tools or modifies existing tools for evaluating Machine Learning models and validates assumptions about the data while also reviewing consistency against other sources.

Runs basic descriptive, diagnostic, predictive, and prescriptive statistics.

Represents the team’s insights.

Characterizes the customer’s problem through metrics to measure the quality of machine learning systems.

Calibrates metrics to support decision making for data (e.g., gaining awareness of ideal metrics and use of metrics).

Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

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We are a dynamic team of engineers and applied scientists, pushing the boundaries of Generative AI to deliver cutting-edge tools that drive impact at scale. We are looking for a Principal Applied Scientist to lead the development of the Copilot Chat Assistant to help advertisers navigate every step of their journey.

You will design and productionize systems that orchestrate multiple Large Language Models (LLMs) using Agentic Frameworks (e.g., Semantic Kernel) and leverages Vector Databases, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP) based tools to solve complex, multi-step tasks. Your work will directly impact the topline revenue metrics for Microsoft Advertising.

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:

Own the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.

Design multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.

Build robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.

Advance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.

Ship real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.

Mentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.

Measure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.

Qualifications:

Required Qualifications:

Bachelor’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 Master’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 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.

Preferred Qualifications:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

5+ years experience developing and deploying live production systems, as part of a product team.

7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Experience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.

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As a Principal Applied Scientist, you will have a solid background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related field. You will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.

Qualifications:

• Bachelor’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)
• Master’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)
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• Equivalent experience

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• Equivalent experience

Research experience (publications) in the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference. 2+ years of experience in any of the following areas: ads retrieval and ranking system, statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference. Proficient problem solving and data analysis skills. Proficient software design and development skills/experience.

#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across Canada is CAD $142,400 – CAD $257,500 per year. Find additional pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html

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You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.

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:

ML / Modeling Leadership

• Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.

• Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).

• Define long-term modeling strategy and roadmap with clear business impact.

Technical & Engineering Execution

• Modernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.

• Partner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.

• Introduce best practices for experiment design, ablations, feature validation, and productionization.

Business & Product Impact

• Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals.

• Own model performance holistically: quality, stability, latency, and revenue impact.

• Develop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.

Leadership & Mentorship

• Mentor and up-level applied scientists and ML engineers across the organization.

• Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.

• Improve collaboration norms, documentation quality, and cross-team alignment.

Innovation & Tooling

• Leverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.

• Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.

Qualifications

• Bachelor’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)

• Master’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)

• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• Equivalent experience.

Additional or preferred qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

• Equivalent experience.

• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

• 5+ years experience conducting research as part of a research program (in academic or industry settings).

• 3+ years experience developing and deploying live production systems, as part of a product team.

• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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As a Principal Applied Scientist, you will have a solid background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related field. You will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.

Qualifications:

• Bachelor’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)
• Master’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)
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• Equivalent experience

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• Equivalent experience

Research experience (publications) in the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference. 2+ years of experience in any of the following areas: ads retrieval and ranking system, statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference. Proficient problem solving and data analysis skills. Proficient software design and development skills/experience.

#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across Canada is CAD $142,400 – CAD $257,500 per year.

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As a data scientist at Microsoft AI, you will be tasked with helping us to maximize our GPU utilization while solving real issues in the AI frontier. We highly value people who will bring an abundance of positive energy, empathy, and kindness to the team every day.

The abuse prevention team is responsible for identifying instances of abuse within copilot and blocking or mitigating those instances. You will be a critical component to keeping copilot safe and productive for all.

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: Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot. Drive new ways of instrumenting and measuring impact to evaluate new feature performance through experimentation. Define metrics and build basic data pipelines to enable A/B experimentation for new features and mitigating abusive users. Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes identifying market opportunities, optimizing app flows and improving product features and proposing innovation solutions based on data. Embody our Culture and Values.

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A typical day will involve learning from granular user action and sequence datasets, partnering with product and engineering to drive technical frameworks and science leadership, building prototypes to detect and quantify taxonomy of guest preferences, evaluating assumptions and efficacy of derived guest preferences, and influencing strategy and cross-functional deliverables.

Your expertise should include causal inference expertise with marketplace experience, preferred domain experience in search, UX discovery, personalized evidence systems, advanced degree in Computer Science, Statistics, Econometrics or related field, and 9+ years of industry experience with a PhD (or 12+ years with a Masters).

You should be strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience, expert in at least one programming language for data analysis (Python or R) with familiarity in SQL, and comfortable with developing proof-of-concept prototypes.

Proven ability to succeed in both collaborative and independent work environments and demonstrated willingness and track record of engagement with the technical community are also required.

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Product Manager, EMEA Payments Lead

About the Role

The EMEA Payments Product Lead role at Stripe is an opportunity to shape payments strategy across one of the world's most complex and fastest-growing regions.

Responsibilities

• Define a multi-year vision for EMEA Payments that anticipates future merchant & ecosystem scale and complexity.
• Lead Engineering and Design through every phase of the product lifecycle, from 0-to-1 development to General Availability.
• Enforce rigorous standards for product quality, API design, and system reliability, building trust with our largest enterprise users.
• Partner with Sales and GTM teams to pitch the product, win key deals, and translate user feedback into roadmap priorities.
• Serve as the internal subject matter expert on the EMEA payment landscape, managing relationships with partners and ecosystem vendors.
• Drive cross-functional alignment with teams like Billing, Connect and Checkout to deliver a cohesive platform experience.
• Mentor or manage emerging PM talent within the domain.

Requirements

• 10+ years of experience in product management or a related product role.
• A track record of shipping technical B2B2C products at a high velocity.
• An obsession with product quality in all its forms,from API design to dashboard UX and documentation.
• Existing knowledge of the payments landscape or a demonstrated ability to learn complex domains quickly.
• Strong written and verbal communication skills, with a talent for articulating user problems precisely.
• An ownership mindset; you are willing to do whatever it takes to solve problems and delight users.
• Ability to dig deep into data, think from first principles, and deliver the right results.

Preferred Qualifications

• A background in Computer Science, Engineering, or a related technical field.
• The ability to understand complex systems at a deep technical level.
• Specific experience in payment orchestration or payment processing.

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We're looking for a Data Science Manager to join our Growth Data Science team at Stripe. As a Data Science Manager, you will be responsible for the success of your team, driving the roadmap and priorities, and working with stakeholders across the organization.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.
• Contribute to broad data science initiatives as a member of Stripe's data science management team.

Requirements

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• At least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• Demonstrated expertise in designing metrics and guiding business decisions with data.
• Technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• Managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• Work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• Clear and persuasive communication skills in writing and verbally.
• Thrive on a high level of autonomy and responsibility.
• Foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Requirements

• Comfortable working with geographically distributed teams.
• Expertise in time series forecasting, predictive modeling, or optimization.
• Expertise in data design and building scalable data architectures.

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The program is designed to foster AI research and engineering talent. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on their projects. In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

To be eligible, you must be fluent in Python programming, available to work full-time on the Fellows program, and have a strong technical background in computer science, mathematics, or physics.

The program is open to individuals from underrepresented groups and encourages applicants to apply even if they don't meet every qualification.

Strong candidates may also have a strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity) and experience in areas of research or engineering related to their workstream.

ML Systems & Performance Fellows will work on projects such as building a CPU simulator for accelerator workloads, adding backends for different accelerators on an open source project, building on demand infrastructure for other infrastructure heavy fellows projects, and building complex synthetic data or environment pipelines.

The program is a great opportunity for individuals who are motivated by making sure AI is safe and beneficial for society as a whole, excited to transition into empirical AI research, and thrive in fast-paced, collaborative environments.

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We are committed to delivering excellence in the development, simulation, testing and integration of propulsion systems, with all the experience of the AVL group in a local, personalized way and with a close technical service.

Our team is formed by an international team that develops cutting-edge mobility technology. We offer a wide range of benefits, including:

• Innovative Environment: join a forward-thinking company that promotes a pro-active work atmosphere.
• Career Progression: opportunities for professional growth within our organization.
• Competitive Salary: we offer a competitive salary package improving industry standards.
• Language Learning: access to language learning resources for employees interested in improving their English/German/French skills.

If you are a motivated and enthusiastic individual with a passion for mobility development and technical innovation, we encourage you to apply for this exciting opportunity.

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Our team is responsible for designing, developing, testing, and releasing the characteristics of our future sports cars. We work on energy prediction, displaying the current remaining range, optimizing charging stops, and developing functions to increase the perceived range of our vehicles.

As a Werkstudent, you will have the opportunity to gain hands-on experience in a dynamic and innovative environment, working closely with experienced professionals and contributing to the development of cutting-edge technology.

We are looking for a highly motivated and talented individual with a strong background in data science, computer science, or a related field. You should have excellent programming skills, particularly in Python, and experience with data analysis and visualization tools such as MatLab/Simulink. Additionally, you should have a solid understanding of machine learning concepts and be able to apply them to real-world problems.

If you are passionate about data science, innovation, and the automotive industry, we encourage you to apply for this exciting opportunity.

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Your expertise will be used to design a solution portfolio, pick up new trends independently, and develop our range of services in the area of SAP data migration, especially with regard to S/4HANA.

You will facilitate project planning in detail, aligning customer expectations, project scope, cost budgets, and managing risk. You will also monitor multiple projects, identify risks and issues in advance, and initiate appropriate corrective and preventive actions, ensuring the performance & the quality as per the project’s goals.

Responsibilities:

• Implement complex sets of rules for the conversion of data to be migrated
• Develop or evaluate solutions proposed to various customers
• Design and hold internal and customer workshops
• Manage multiple projects in the subject area
• Design a solution portfolio
• Pick up new trends independently
• Develop our range of services in the area of SAP data migration, especially with regard to S/4HANA

Requirements:

• Computer Science, Electronics & Telecommunications or comparable studies graduated
• Programming skills (ideally ABAP) and/or SQL knowledge
• Profound knowledge (at least 6 years experience) in Data Migration projects with SAP technologies like LSMW, Migration Cockpit and/or Data Services
• Profound knowledge (at least 6 years experience) in one of the SAP SCM modules: MM, FI, CO, PP, SD etc
• Experience in both migrating data into SAP ERP and extracting data from SAP ERP
• Quick comprehension and a high level of logical thinking
• Initiative and flexibility, independent and systematic in the approach
• Strong communication skills and excellent time management

Preferred qualifications:

• Profound knowledge (at least 5 years experience) in SAP R/3 and/or SAP S/4 systems
• At least 4 years of experience in one of the SAP modules: MM, FI, CO, PP, SD etc

Benefits:

• Start date: by arrangement -  always on the 1st and 15th of the month
• Working hours: full-time (40h); 27 vacation days
• Employment contract: Unlimited
• Line of work: Consulting
• Language skills: Fluency in written and spoken English; German is a plus
• Flexibility & willingness to travel
• Other: a valid work permit

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

Job Purpose: The Service Technical IT Applications unit is seeking a highly motivated, team-oriented, and customer-focused Technical Program Manager. This leadership role encompasses responsibility for overseeing programs and portfolio comprising of numerous critical applications. This position involves providing delivery and technical leadership and guiding the delivery team to ensure alignment with unit, department, divisional, and AHM business unit objectives. The Team Manager will oversee multiple projects, including business transformation initiatives utilizing modern technology and SaaS platforms for the Service division and working with global teams.

Key Accountabilities:

• Vision & Strategy:

Lead the IT team to support the Service and Planning business unit with their business application needs.

• Build and maintain high performing IT teams:

Foster associate development and long-term capability by teaching, coaching and mentoring, integrated with consistent and effective individual performance Management

• Achieve the project goals for the Team:

As approved annually, including schedule, budget and quality commitments

• Provide Technical and Solution Leadership:

Design business and technical solutions and provide solution architecture oversight.

• Promote IT and its capabilities:

Build NA relationships and network to achieve trust and credibility, by discovering and meeting the needs of internal and external customers

Qualifications, Experience, and Skills:

• IT / Computer Science related Bachelor Degree and/or equivalent work experience
• 8 or more years in Information Technology/Information Services
• 5 or more years supervisory, resource management, vendor management experience
• 5 or more years experience supporting IT Delivery, preferably in automotive industry
• 5 or more years experience managing and delivering large/ multiple projects, platforms, and products
• Must have strong project management skills to manage deadlines while delivering quality results, on time, on budget
• Experience managing teams with differing priorities and levels of expertise;
• Strong written and presentation skills and ability to effectively communicate at all levels of the organization
• Strong problem-solving and root cause analysis skills
• Working experience with estimation, planning, developing and managing a budget,
• People management, team building, coaching, mentoring, development, negotiations, conflict resolution, and strong interpersonal skills.
• Strong experience in vendor management, contracts management, SOW, RFP & RFQ process
• In-depth demonstrable knowledge of applicable SOX, PII, data privacy practices, security, and governance
• Experience leading multiple software development and implementation teams (Microsoft, Salesforce, Enterprise software etc)
• Experience in designing solutions and providing technical architecture oversight
• Experience as a leader for solution and business architecture, provide direction and oversight of design, methodologies, tooling, partnerships, and support models.
• Experience in performing modeling, gap analysis, and crafting architecture artifacts, such as context diagrams, data flow diagrams, business capability roadmaps.
• Experience in working with Architecture Review Board.
• Experience in leading the technical workstream for critical projects

Workstyle:

• Onsite at least 4 days per workweek. 1 remote workday a week may be possible with prior departmental approval.

Visa sponsorship issues:

• This position is not eligible for any work visa sponsorship.

Relocation assistance:

• Not eligible

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401(K) Plan with company match + additional contribution

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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Responsibilities: Assist with the initial vetting and ongoing review of portfolio management teams against our Algorithmic Trading Policy Monitor regulatory changes, updates and industry-wide compliance initiatives Conduct ongoing analyses to enhance our global Quantitative Trading Compliance program Assist with regulatory examinations, inquiries, investigations and projects Assist with drafting and amending compliance related policies and procedures Prepare and conduct compliance trainings

Qualifications: 3+ years of experience Experience at a regulatory authority, bank/broker or buy-side firm Experience with addressing algorithmic/systematic trading matters is preferred Bachelor’s degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred An understanding of global financial markets, including market structure, is preferred General understanding of Artificial Intelligence, including current regulatory focus areas Strong analytical / conceptual problem-solving skills with attention to detail Strong sense of ownership and personal responsibility Ability to prioritize, multi-task, and manage deadlines while successfully completing assignments Strong written and verbal communication skills Ability to create presentation materials for senior management Proficient in Microsoft PowerPoint and Excel Good team player with a strong willingness to participate and help others

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future.

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Key Responsibilities: Perform preventive maintenance, repairs, and installations at end-user customer sites using approved Bayer documentation. Schedule and organize own work activities, ensuring efficient operations. Organize and re-order inventory valued at $20K to ensure quality work and low incident of defective or incomplete on-site customer visits. Responsible for proper return of all defective inventory for replenishment. Price service calls, offering discounts or converting to full contracts when needed. Generate service revenue of up to $500K in given work group (Individual revenue responsibilities may vary). Prepare and develop sales quotes and follow through to close the sale. Call end-user customers, purchasing agents, and Bayer dealers to finalize and ask for the order. Interface heavily with Service Admin/MSRC billing processors to ensure proper and timely invoicing. Responsible to assist in collection activities within a given territory. In some cases, generate customer interest and communicate to Service Marketing Rep. Generate and communicate sales leads to respective sales rep for new product or disposable opportunities. Maintain company car, oil changes, tire rotation, etc., and tools in good working order valued at $35-$45K. Ensure all proprietary info is safe-guarded from non-Bayer personnel, including Service & Training Manuals, Diagnostic and Calibration software, BIT keys, etc.

Requirements: Associate's Degree in Electronics, IT Networking, Computer Science, or relevant discipline required with 2 years of applicable experience or Bachelor's Degree in relevant discipline. Equivalent Military Experience/Training in areas such as Electronics, Aviation, IT, Computer Science, or relevant training with 2 years of applicable experience can be considered in lieu of degree. Technical trade skills in areas such as soldering, electrical installation & troubleshooting. Prior experience in a customer-facing role. Demonstrated ability to work in a fast-paced self-directed environment. Good verbal and written competencies, along with flexibility and good judgment. Ability to prioritize workload and tasks to maximize revenue. Proficient in Microsoft Office product suite & comfortability in using company-specific databases and CRM systems. Ability to travel within assigned territory and nationally, at times overnight and extended time periods. Must hold a valid driver's license.

Preferred Qualifications: Demonstrated knowledge of Medical Device & Radiology business. Prior experience in a Field Service Role and/or regulated industry.

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The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.

In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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The Spacecraft Comms team will work closely with related teams, such as the spacecraft design, ground, and flight software, to help improve both the ground and satellite-based capabilities. Your primary responsibility will be the successful design, test, and operations of the various communications links onboard Anduril's fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril's Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. You will work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

Key responsibilities include:

• Contributing to the spacecraft communications subsystems for various spacecraft programs in all orbital regimes
• Integrating with legacy systems to unlock 21st-century capabilities
• Developing modern, software-defined approaches to autonomous spacecraft communications leveraging proliferated constellations of ground and space-based assets
• Owning space-to-ground and space-to-space ICDs and designs for communication subsystems
• Collaborating across multiple teams to plan, build, and test complex functionality
• Coordinating with end-users, other operators, and customers to turn needs into features while balancing user experience with engineering constraints
• Supporting challenging schedules during ground testing, launch windows, and on-orbit operations of the spacecraft systems

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Electrical Engineering, RF Engineering, Computer Science, or other engineering degree
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Flexible and agile problem-solving skills
• Working knowledge of and experience with MATLAB
• Ability to quickly understand and navigate complex systems and detailed requirements
• Experience with RF subsystem design for space-space and space-ground in multiple orbital regimes
• Experience with optical inter-satellite and optical space-ground systems
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills, including creating documentation and training materials
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred qualifications include:

• Experience with Python, Go, C++, and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Experience testing comms subsystems in laboratory environments that mimic the space environmental constraints
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds, and digital spacecraft simulators through nominal and fault scenarios
• Exposure to ground station operations and providers
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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Staff Product Manager, Stripe Apps and Extensibility Platform

About the Role

We're looking for a seasoned product manager to lead the development of our core platform for Stripe's extensibility product experience. As a staff product manager, you'll be responsible for delivering platform features that enable app developers to better serve the needs of Stripe users.

Responsibilities

• Interact with users, app developers, and internal product teams daily to validate product ideas/requirements and prototypes
• Partner with engineering and design to ship functionality that delights users and app developers, has the right balance of impact vs engineering cost, and makes a measurable impact
• Develop the vision, strategy, and roadmap for Stripe Apps and the core extensibility platform
• Define key success metrics
• Work closely with user researchers to test hypotheses and understand user pain points

Requirements

• 12+ years of Product Management experience
• Computer Science background or equivalent technical experience
• Both a passion for and experience with building and shipping application platforms for developers
• Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles
• Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts
• Demonstrated experience of leading initiatives across large engineering organizations, spanning multiple cross-functional teams to influence tech roadmap planning and execution

Preferred Qualifications

• Enjoy using social media to interact directly with customers for feedback
• Have founded a business / startup, taking a product from 0-1
• Have hands-on experience with testing and editing documentation

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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