Your main responsibilities will include preparing and cooking breakfast dishes to a consistently high standard, following recipes, portioning and presentation guidelines, supporting senior chefs with daily mise en place and service, maintaining a clean and well-organised kitchen, following all food safety standards, assisting with stock rotation, storage, and basic monitoring, using kitchen equipment safely and correctly, working efficiently during busy morning service while keeping a keen eye for detail, and contributing to a positive, supportive and professional kitchen culture.

In return, you'll have the chance to work within a 2 AA Rosette standard kitchen, receive ongoing training and development from an experienced and supportive team, opportunities to progress your culinary career, staff meals and uniform, a competitive salary and benefits package, free event tickets and access to our Group Performance Share scheme.

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To be successful in this role, you will have a background in battery development and a passion for creating sustainable energy solutions. You will have at least 3-5 years of experience in developing energy storage systems, with experience from SOP projects being a plus. You will have a relevant engineering degree in Mechanical, Electrical, or Mechatronics, or equivalent experience in battery system development. You will have a good understanding of high-voltage battery design and relevant safety standards and regulations. You will also have experience in battery design at the module and pack level, as well as practical experience with CAD tools such as CATIA, Creo, or similar. You will have a valid B driving license and communicate fluently in Swedish and English.

As a person, you will be self-driven, structured, and responsible. You will communicate clearly and have a good ability to present technical solutions (also in English), both internally and on-site at the customer. You will build trust through your integrity and create good cooperation in teams and networks. You will be driven by solving complex problems, working analytically and quality-consciously, and have a strong desire to develop within battery design and energy storage.

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Whether you're crafting the perfect cocktail, greeting a familiar face by name, or quietly going the extra mile without being asked, you'll play a key part in delivering the warm, personalised experience that defines The Kennels.

The Kennels is the social heart of the Estate, welcoming sporting members from across horseracing, golf, motorsport, aviation and the Health Club. No two days are ever the same.

You might find yourself:

• Setting the tone for a relaxed golfers' breakfast
• Welcoming members for an afternoon coffee or light bite
• Supporting a lively evening service or buzzing live music event

All delivered with style, confidence and The Kennels' unmistakable charm.

This is not just another casual role. It's an opportunity to be part of a truly unique members' club - somewhere no two shifts are the same, and where your personality, attention to detail and passion for service genuinely make a difference.

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Our team is responsible for the continuous operation of a technical large-scale facility. We are looking for a work student to support us in our daily tasks. As a work student, you will have the opportunity to gain hands-on experience in data analysis, machine learning, and data storage.

Responsibilities:

• Support the continuous operation of a technical large-scale facility
• Data analysis and machine learning
• Data storage and management
• Development and implementation of new methods and techniques

Requirements:

• Study of engineering or computer science with a focus on automation, data processing, or related fields
• Experience with machine learning and data analysis
• Good knowledge of Python
• Excellent communication and teamwork skills

Benefits:

• Opportunity to gain hands-on experience in data analysis, machine learning, and data storage
• Collaborative and dynamic work environment
• Competitive salary and benefits package

If you are interested in this opportunity, please send your application, including your resume and cover letter, to [insert contact information].

We look forward to hearing from you!

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Specific responsibilities include understanding current business processes and evaluating opportunities to introduce new technologies and digital tools, emphasizing providing excellent service to internal departments of PFS. Responsibilities will also include designing slides and presentations, authoring operating instructions for processes and systems, supporting internal stakeholders, interfacing with external vendors, and driving high-quality projects.

The Intern will work closely with business unit leaders to identify and maximize opportunities to use information and technology to improve product, service, and business processes. They will contribute towards implementation and execution plans for digital transformation concepts including artificial intelligence (AI), data strategy, user experience (UX), and processes automation.

Research emerging trends and evaluate opportunities to enhance current products and processes. Other projects and duties as assigned.

The hourly range for this role is $18-$20.

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Therefore, we're looking for you to join our team as an apprentice mechatronics technician in the field of system and high-voltage technology.

Your tasks:

• You will learn about the maintenance, diagnosis, and repair of vehicles, particularly in the area of vehicle electrics and electronics.
• You will work with the maintenance and repair of modern conventional and electric drive technologies.
• You will work with the installation and commissioning of chassis and driver assistance systems in the vehicle.
• You will learn about updating software versions on control units and working with high-voltage storage batteries in electric vehicles.
• You will learn about vehicle IT, smart mobility, and data transmission systems in the vehicle.

Start date: August 2026 Duration: 3.5 years

What sets you apart:

• Abitur, middle school diploma, or very good high school diploma
• Certificate of aptitude test for mechatronics technicians from the Hamburg Automotive Industry Association
• Interest in electronics, electrical, and hybrid technology
• Technical understanding and manual skills
• Responsible and reliable work ethic
• High team and communication skills
• Strong passion for automobiles

What we offer:

Benefits that make a difference - in everyday life, in the team, and beyond.

Employee catering Employees receive a meal allowance that supports flexible and affordable supply during working hours.

Mobility We promote sustainable mobility by subsidizing public transportation, such as discounted Germany tickets in our company account.

Discounts Employees benefit from attractive corporate benefits and subsidies for EGYM and Wellpass.

Salary We appreciate our employees' engagement and reward it with fair and performance-based salaries according to the collective agreement. In addition to the monthly salary, we offer voluntary special payments, Christmas and holiday pay.

Employee catering: Employees receive a meal allowance that supports flexible and affordable supply during working hours.

Mobility: We promote sustainable mobility by subsidizing public transportation, such as discounted Germany tickets in our company account.

Discounts: Employees benefit from attractive corporate benefits and subsidies for EGYM and Wellpass.

Salary: We appreciate our employees' engagement and reward it with fair and performance-based salaries according to the collective agreement. In addition to the monthly salary, we offer voluntary special payments, Christmas and holiday pay.

About us Porsche Niederlassung Hamburg GmbH is a 100% subsidiary of Porsche Deutschland GmbH. They have three locations in Hamburg and employ over 200 people in sales, after-sales, marketing, and administration.

We make the experience and fascination of Porsche more tangible. Do you also have petrol in your blood? Then join us on our continued path to success.

More information about Porsche in Hamburg can be found here: https://www.porsche-in-hamburg.de/

Apply now: ?ac=application&jobad_id=17281

Similar jobs Hamburg Auszubildender Kfz-Mechatroniker System- und Hochvolttechnik (m/w/d) Porsche Niederlassung Hamburg GmbH

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We're looking for you to join our team as an apprentice KFZ-Mechatroniker in the area of System- and Hochvolttechnik (m/w/d).

Your tasks:

• You'll learn about the maintenance, diagnosis, and repair of vehicles, particularly in the area of vehicle electronics and electrics.
• You'll work with the maintenance and repair of modern conventional and electric drive technologies.
• You'll work with the setup and commissioning of vehicle systems and driver assistance systems in the vehicle.
• You'll learn about updating software versions on control units and working with high-voltage storage batteries from electric vehicles.
• You'll learn about vehicle IT, smart mobility, and data transmission systems in the vehicle.

Start date: August 2026 Duration: 3.5 years

What sets you apart:

• Abitur, middle school diploma, or very good high school diploma
• Certificate of aptitude test for KFZ-Mechatroniker from the Kfz-Innung Hamburg
• Interest in electronics, electro- and hybrid technology
• Technical understanding and manual skills
• Responsible and reliable work ethic
• High team and communication skills
• Strong passion for automobiles

What we offer: This is what makes the difference – in everyday life, in the team, and for everything else that's important outside of work.

Further benefits can be found on our careers page.

Employee Publications Employees receive a subsistence allowance, which supports flexible and affordable provision during working hours.

Mobility We promote sustainable mobility by subsidizing public transportation, such as discounted Germany tickets in our company account.

Discounts Employees benefit from attractive corporate benefits and subsidies for EGYM and Wellpass.

Remuneration We appreciate our employees' engagement and reward it with fair and performance-oriented remuneration according to tariff. In addition to the monthly salary, we offer voluntary special payments, Christmas and holiday pay.

Employee Publications: Employees receive a subsistence allowance, which supports flexible and affordable provision during working hours.

Mobility: We promote sustainable mobility by subsidizing public transportation, such as discounted Germany tickets in our company account.

Discounts: Employees benefit from attractive corporate benefits and subsidies for EGYM and Wellpass.

Remuneration: We appreciate our employees' engagement and reward it with fair and performance-oriented remuneration according to tariff. In addition to the monthly salary, we offer voluntary special payments, Christmas and holiday pay.

About us Porsche Niederlassung Hamburg GmbH is a 100% subsidiary of Porsche Deutschland GmbH. Our three locations in Hamburg sell Porsche, one of the world's most successful sports car brands. More than 200 employees in sales, after-sales, marketing, and administration are experts in Porsche products and the brand.

We make the experience and fascination of Porsche more tangible. Do you have gasoline in your blood? Then join us on our continued path to success.

More information about Porsche in Hamburg can be found here: https://www.porsche-in-hamburg.de/

Apply now: ?ac=application&jobad_id=20086

Similar jobs Hamburg Auszubildender Kfz-Mechatroniker System- und Hochvolttechnik (m/w/d) Porsche Niederlassung Hamburg GmbH

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Your tasks will include:

• Designing scalable KI architectures: developing high-performance architectures and integrating ML and GenAI models into customer environments (e.g., SAP, CRM, Microservices)
• Implementing pipelines and workflows: building scalable data and AI architectures, integrating them into existing pipelines, and developing XOps solutions
• Backend services and system integration: developing high-performance services to integrate models into productive workflows and ensuring smooth transitions between training, deployment, and application
• Deployment, monitoring, and optimization: implementing prototypes and MVPs in cloud environments, optimizing performance, and ensuring scalability and security
• Identifying use cases: analyzing business processes, recognizing potential for GenAI, and deriving technical solutions
• Project and stakeholder management: moderating workshops, closely coordinating with interdisciplinary teams, international project partners, and customers

To be well-prepared for your path, you should have the following qualifications:

• Completed studies in computer science, software engineering, data science, or a comparable field with at least 4 years of professional experience, ideally in consulting and (Gen)AI
• Passion for AI and Generative AI, scalable systems, cloud technologies, and building high-performance AI infrastructure
• Expertise in Python, ML, LLMs, RAG, cloud environments (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
• Knowledge in software architecture, cloud-native design, MLOps, and AI security
• Your work style is characterized by self-responsibility, goal orientation, teamwork, and hands-on mentality

Before departure:

• Start date: after agreement - always at the beginning of a month
• Working hours: full-time (40 hours) and/or part-time possible; 30 vacation days
• Employment relationship: unlimited
• Field: consulting
• Language: secure German and English
• Flexibility and travel readiness
• Other: valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date

At MHP, you grow continuously in an innovative and supportive environment. This makes us the perfect sparring partner for your career. For both professional input and networking. We offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together
• We are always happy about creativity and new impulses
• Flexibility. Time-wise and location-wise - according to the project at home, in the office, or at the customer
• You have the opportunity to grow with us in tasks, knowledge, and responsibility

To apply, please submit your application as soon as possible. Simply online through our Job Locator. There, you can send your application documents, such as resume, certificates, and possibly project lists, in just a few clicks to us. A cover letter is not required.

By the way: If your application reaches us, our recruiting team checks across departments whether there is a suitable position for you. Irrespective of current job postings, we try to find the right job for you at MHP.

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Your tasks will include:

• Data acquisition, cleaning, and feature engineering: extracting, transforming, and cleaning data from various sources, developing new features for ML and GenAI models, and agent systems
• Explorative data analysis and modeling: conducting analyses, developing and evaluating ML/GenAI prototypes, concepts for self-learning systems, and human-in-the-loop approaches
• Prototyping and integration: creating prototypes in Python, integrating models into systems or cloud environments, and implementing AI solutions based on LLM
• Identification of use cases: analyzing business processes, recognizing opportunities for GenAI, and deriving technical solutions, integrating them into existing system and process landscapes
• Project and stakeholder management: moderating workshops, close coordination with interdisciplinary teams, international project partners, and customers

To be well-prepared for your path, you should have the following qualifications:

• Completed studies in computer science, data science, mathematics, statistics, or a comparable field with at least 4 years of professional experience - ideally in consulting or projects in the data science, ML, or AI field
• Passion for data, AI, and Generative AI, as well as enthusiasm for their strategic added value for the business
• Expertise in Python, SQL, ETL processes, RAG, ML/DL, LLMs, Pandas, and NumPy
• Your work style is characterized by self-responsibility, goal orientation, team ability, and hands-on mentality

Worth knowing before departure:

• Start: after agreement - always at the beginning of a month
• Working hours: full-time (40 hours) and/or part-time possible; 30 vacation days
• Employment relationship: unlimited
• Field: consulting
• Language: secure German and English
• Flexibility and travel readiness
• Other: valid work permit; if necessary, we can apply for the work permit within our recruiting process. The procedure takes time and affects the start date

At MHP, you grow continuously in an innovative and supportive environment. This makes us the perfect sparring partner for your career. Both for professional input and networking. We offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together
• We are always happy about creativity and new impulses
• Flexibility. Time-wise and location-wise - according to the project at home, in the office, or at the customer
• You have the opportunity to grow with us in tasks, knowledge, and responsibility

Please apply quickly. Simply online via our Job Locator. There, you can send your application documents, such as resume, certificates, and possibly project lists, in a few clicks to us. A cover letter is not required.

By the way: If your application reaches us, our recruiting team checks across departments whether there is a suitable position for you. Regardless of current job postings, we try to find the right job for you at MHP.

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As a Loan Operations Specialist, you will cover end-to-end servicing of Bank Loan Assets, including trade instruction capture, settlement, fail management, cash instruction capture, reconciliations, asset servicing, instruction capture, and lifecycle management of bank loans.

Key responsibilities include:

• Basic understanding of loan or deal administration functions
• Oversight of bank loans life cycle events, including paydown/drawdown, interest rate resets, PIK interest calculations, delayed comp accruals/calculation & trade settlements
• Ability to interpret credit agreements and related documentation
• Work across teams to resolve queries and issues
• Ability to create new procedures, workflows, and build controls
• Assist in testing and implementation of systems and system improvements as required

To be successful in this role, you will need:

• A bachelor's degree in finance, accounting, or economics
• Detailed knowledge of the bank debt asset class, including primary and secondary market trading, with some exposure to loan closing preferred
• Strategic problem-solving skills with a consistent track record
• 7+ years of direct experience in loan operations, with exposure to distressed loans required
• Knowledge of LSTA/LMA standard documents and exposure to EUR loans
• Knowledge of SS&C Geneva and Murex, with exposure to Wall Street Office and ClearPar preferred
• Bloomberg is required
• Knowledge of TRS products is a plus
• Strong understanding of accounting principles, specifically how bank debt transactions impact financial documents
• Strong organisational skills with the ability to set priorities and handle multiple projects
• Strong analytical skills
• Superior communication skills

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package, which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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As a Senior HFT Developer on SPEED, you will design and build core low-latency components for order entry, market data, exchange simulation, feature extraction, and strategy containers, initially focused on delivering the full set of capabilities required for trading and research infrastructure. You will collaborate closely with system architects and quantitative researchers, operate and optimise these systems in production, and have clear opportunities to grow into technical and team leadership as the effort scales.

Principal Responsibilities:

• Build low-latency infrastructure for order entry, market data, exchange simulators, feature extraction, strategy container, and other systems.
• Build convenience layer tools and services to facilitate trading teams onboarding at MLP.
• Provide level 2 support for the systems in production.
• Work closely with the SPEED architect, quantitative researchers, and the business to provide high ROI solutions that are aligned with both the business and the platform strategy.
• Opportunities for growth in terms of leadership as effort expands.
• Will liaise with many other MLP teams depending on project focus.

Qualifications/Skills Required:

• 5+ years with a well-regarded HFT group, delivering production-grade, low-latency systems.
• Demonstrated expertise in C++ and Python for production, low-latency systems.
• Deep familiarity with low-level Systems: OS tuning, networking stack, user-space drivers, and kernel-bypass patterns.
• Strong understanding of the HFT quantitative research pipeline.
• Experience with HPC grids (scheduling, storage, job management) for research and production workloads.
• Cloud experience (AWS, GCP) is a plus.
• Proven ability to navigate large organisations, create cross-team synergies, and influence outcomes.
• High accountability and ownership; able to self-manage time, set priorities, and meet deadlines.
• Potential to provide technical leadership and manage a small team.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. We pay a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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This individual will lead product development and execution across various systems, workflows, analytics that support margin analytics, cash consumption, liquidity risk, etc. The Cross Asset Quant & Technology Modeling team designs, builds, and maintains the applications and models that support portfolio managers, risk managers, and treasury professionals across the company.

The ideal candidate will bring a strong product mindset, solid technical fluency, and experience working across quantitative workflows, data platforms, and front-to-back capital markets infrastructure.

Responsibilities:

• Partner closely with Treasury, Risk, Quants, Operations, and Engineering to define and deliver products that support cash and collateral management, liquidity forecasting, funding optimization, and margin analytics.
• Own the product roadmap for Treasury-related applications, data products, and workflows, ensuring priorities are aligned with business goals and delivered effectively.
• Translate business needs into clear product requirements, functional designs, and technical specifications
• Work with engineering and quantitative teams to build and enhance tools that improve visibility into liquidity, collateral usage, margin requirements, funding exposures, and treasury risk.
• Serve as a key point of contact for senior stakeholders with Treasury providing clear updates and helping drive alignment and decision-making.
• Coordinate cross-functional teams across product, engineering, quantitative modeling, and business functions to keep delivery on track, remove blockers, and resolve issues quickly.
• Gather and document business requirements, perform gap analysis, and ensure solutions meet business objectives and fit into the broader Treasury and risk platform ecosystem.
• Identify project and product risks early, develop mitigation plans, and escalate issues as needed to support successful delivery.
• Track progress against timelines, objectives, and quality standards, and use feedback, metrics, and outcomes to improve product delivery over time.

Qualifications:

• 12+ years of experience in technical product management, quant management, or a similar role, with a strong track record of delivering complex technology solutions in financial services.
• Strong understanding of capital markets and Treasury-related functions, including cash and collateral management, prime brokerage (PB), margining, repo, securities lending, liquidity, and funding.
• Demonstrated ability to manage complex, cross-functional initiatives with multiple stakeholders and tight timelines.
• Strong business analysis skills, including requirements gathering, gap analysis, process mapping, and translating business needs into practical technical solutions.
• Strong leadership, communication, and interpersonal skills, with the ability to work effectively across both business and technical teams
• Strong analytical and problem-solving abilities, with comfort working with data, metrics, and financial concepts to support prioritization and decision-making.
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities and keep workstreams moving in a fast-paced environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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This position is essential for ensuring that the laboratory meets the high standards required for CGMP Quality Control Operations. The candidate will be primarily responsible for the receipt, storage, inventory, and distribution and preparation of samples, controls, reagents and standards used in analytical testing, utilizing paper and computer-based inventory systems.

The candidate will also be responsible for the operation, organization and maintenance of Temperature-Controlled Storage Units and ensure that samples, reagents, standards and controls are stored in appropriate temperature conditions utilizing paper and computer-based asset systems.

The candidate will support the calibration and maintenance activities required for QC equipment using computerised asset management software.

The candidate will complete and document activities in accordance with CGMPs, SOPs, and protocols.

Perform compendial assays and processing of samples as needed.

Report deviation events to QC management.

This position is essential for ensuring that the laboratory meets the high standards required for CGMP lot release and stability testing.

The role also involves contributing to the writing and revision of Standard Operating Procedures (SOPs) and other CGMP documentation.

The position requires a strong background in laboratory practices, general testing methodology, assay troubleshooting, and familiarity with Quality Systems.

Perform other duties as assigned.

Ability to follow safety procedures outlined in the Safety, Health and Environmental requirements.

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Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

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Tony's Chocolonely is committed to ending exploitation in cocoa. We are an impact company that makes chocolate, not a chocolate company that makes impact. With incredibly tasty chocolate, we lead by example, demonstrating that ethical practices and success can go hand in hand.

What you will do

As our Global Category Buyer, you'll own our global packaging categories, securing supply, supporting supplier partnerships, and driving both innovation and efficiency. This role mixes daily operational hustle with long-term category strategy, giving you huge influence on product quality, sustainability, and cost control. You'll bring structure where needed and move forward improvements in how we work. And above all, you'll help ensure our iconic packaging continues to tell our story - loudly, clearly, and responsibly.

All wrapped up -

• Develop and execute 3-year sourcing strategies for all key packaging categories, aligned with Tony’s sustainability commitments and commercial goals.
• Build, manage and develop a reliable global supplier base, fostering long-term partnerships, monitoring performance, and encouraging continuous improvement.
• Guide negotiations and secure rolling contracts with price discussions balancing cost, quality, and ethical standards.
• Run day-to-day operations while simultaneously progressing major improvement projects: dual supply, legal compliance updates, assortment suitability.
• Work collaboratively with Product, QA, Operations, Finance and Project Management to deliver NPD, manage risks, and keep big initiatives moving.
• Explore spend data, benchmark the market, and build savings pipelines that support both category strategy and yearly budget targets.
• Act as the internal go-to for all packaging-related topics - bringing visibility, clarity and a strong point of view to the table.
• Drive supply continuity and risk mitigation through BCP planning, dual sourcing and supplier diversification.

Requirements

Our new flavor:

• You bring relevant procurement experience in food or beverage industry – you understand materials, markets, and how FMCG speed feels.
• A proactive problem-solver who loves building structures.
• Strong in budgeting, cost reflection, PPV management and able to translate strategy into practical actions and timelines.
• Detail-oriented, thoughtful, and comfortable juggling tight deadlines.
• A self-assured, articulate negotiator - expressive when needed, and ready to make Tony’s more visible with suppliers and internally.
• Thrives in cross-functional environments and communicates well with stakeholders at all seniority levels.
• Hands-on, unafraid of ambiguity, and energized by a fast-paced environment where improvements never stop.
• Skilled in Excel, PowerPoint and basic project management tools.
• You raise the bar: challenge yourself and team Tony’s to increase our ambition and to accomplish our mission. Making mistakes along the way and learning from them.
• We are all about being more in person than apart; this means we offer flexibility but see each other in the office on average 3 days a week. More is fine too!
• Believe wholeheartedly in Tony’s purpose. You live our core values: outspoken, willful, entrepreneurial and makes you smile.

Our benefits (the icing on the cake)

At Tony's you will get the opportunity to be part of something extraordinary; first and foremost, by making real impact in the world but also enjoying the nice benefits we provide as you help us succeed. We’re dedicated to enabling all Tonys to grow and develop their careers and therefore we offer training programs, regular feedback cycles, coaching and a generous L&D budget. We also offer a wide range of additional benefits, including a luxurious vegetarian lunch, company bonus, minimum of 28 holidays, inspirational team updates, unforgettable events and unlimited chocolate. But we also know chocolate won’t cover the bills, so we’ve made sure your salary is just as rewarding, for this role that means a salary between EUR 56k-70k on a yearly basis, including holiday pay.

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You will have regular contact with clients regarding their accounts, under the direction of a registered securities representative. You will enter orders for clients and open new client accounts at the direction of the registered representative.

The role requires a strong understanding of the brokerage and banking industry, trading operations, banking products, and HSI's (HSBC Securities Inc. USA) brokerage products. You will also need to have knowledge of relevant U.S. regulatory governance related to Anti Money Laundering, as well as local and Group compliance regulations.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. You will also have access to a competitive pay and benefits package, including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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Key responsibilities include providing sales support to licensed sales staff, preparing and completing sales documents, managing data input and report generation, and liaising with support functions to follow through client purchase process requirements. You will also have regular contact with clients regarding their accounts, under the direction of a registered securities representative, and enter orders for clients and open new client accounts at the direction of the registered representative.

To be successful in this role, you will have a strong understanding of the brokerage and banking industry, trading operations, banking products, and HSI's (HSBC Securities Inc. USA) brokerage products. You will also be registered or obtain approval for registration with the necessary States where registered representatives conduct business, and have good experience in the financial services industry. Additional requirements include knowledge of brokerage products and services, operations to support them, and pertinent regulations affecting their delivery, as well as Anti-Money Laundering and relevant regulatory governance in the US.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package, including a robust Wellness Hub, in a welcoming and inclusive work environment.

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You'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.

Our Tech Stack

• Data Storage & Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.
• ML & Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.
• Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.
• Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.

Your role in this journey

As a Data Ops Engineer – Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Responsibilities

• Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensure operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrate and productionize POC: turn experimental code into robust, maintainable Python applications.
• Ensure data quality, consistency, and documentation across revenue management metrics and datasets.

Benefits

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.

Experience

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.
• Strong hands-on skills in Python , you write clean, production-quality code.
• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).
• Familiarity with cloud platforms (AWS preferred) and deploying services in production.
• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.
• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.
• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

How to apply

If you're excited about this opportunity, please submit your application on our careers page!

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Your responsibilities will include driving down costs through automation, less TOIL and efficient use of Infrastructure, evaluating the SWIFT product and services from functional and non-functional perspective, and delivering change program as per the annual Book of Work. You will also be responsible for collecting resource and cost estimates, establishing baseline budgets, and securing approvals from the Program Steering Committee, tracking expenses against approved budgets and providing monthly progress reports to stakeholders, conducting revenue projections to support business cases, identifying cost savings, and optimizing resource allocation.

Additionally, you will be responsible for the budget management and reporting for SWIFT Alliance Gateway USA, identifying and managing risks, dependencies, and compliance requirements throughout the service lifecycle, ensuring all functional and regulatory standards are met. You will perform periodic risk assessments, enforce HSBC's Enterprise and Operational Risk Management Frameworks, and maintain robust control documentation.

You will participate in audits and implement all security and data privacy controls as per compliance standards, leading program governance forums, project kickoff meetings, and project status updates, and facilitating cross-team collaboration. You will define and execute a detailed communication plan, including escalation protocols and risk communication, maintaining strong working relationships with cross-functional teams, vendors, and resource managers, ensuring alignment with project goals.

This is a full-time position, Monday-Friday, 40 hours per week, with telecommuting permitted up to 100% from anywhere in the US.

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The Client Solution Architect role within the Client Solutions capability in Global Client Connectivity plays a critical role in bridging the gap between sales and delivery, ensuring clients receive tailored, technically robust global payment solutions, with seamless implementation of complex or newly commercialised product capabilities.

As a Client Solution Architect, you will be responsible for delivering technical and product solutions to top-tier clients across Global Payments Solutions (GPS) connectivity products. You will lead multiple global, complex projects to onboard clients to Client Connectivity channels, including HSBC net, APIs, SWIFT connectivity, and Host-to-Host (H2H) / file-based connectivity.

You will also lead technical client workshops to understand current-state processes and support automation goals across Accounts Payable, Receivables, Treasury, Payroll, and bank statements/reconciliation integration. You will provide pre-mandate technical support for Request for Information / Request for Proposals (RFI/RFPs) and solution proposals.

You will deliver integrated solutions that streamline workflows and optimise client Enterprise Resource Planning / Talent Management System (ERP/TMS) usage, proactively identify technical blockers, and drive resolution to protect timelines and client outcomes.

You will finalise product and technical solutions post-mandate, documenting the approach in a statement of work; partner with project management to build plans, identify risks, and manage dependencies.

You will communicate effectively with stakeholders at country, regional and global levels; act as liaison across Client Service, Sales/Coverage, Product and Information Technology (IT).

You will manage a varied portfolio of complex, global integration initiatives, including piloting new GPS products/services.

You will simplify and challenge existing processes, contribute to continuous improvement and client experience outcomes, and provide feedback to product teams on client requirements and competitive landscape to drive enhancements.

You will maintain an in-depth understanding of the financial and technical environment of clients' businesses and stay current on industry trends and payment regulation changes.

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We're the original oatmilk company that started in Sweden back 25 or so years ago and has since expanded to the U.S. where we've continued growing at a rate such that we need more brilliant minds to come work with us to keep the momentum going and the oatmilk flowing.

Sustainability, health, and transparency are the core values that guide everything we do. Basically, we exist to help people live a healthier life without recklessly taxing the planet's resources in the process, and to change the food system for the better. We drive that change through the power of oats and through a significant reduction in cow's milk consumption.

The Beverage Market Developer will be key in Oatly's mission to lead taste innovation within the specialty and out-of-home (OOH) beverage world. This role goes beyond coffee, encompassing a wide range of beverage applications, including mixology, tea-based drinks, and emerging beverage trends.

Key responsibilities include:

• Creating, leading, and executing Oatly’s beverage development strategy to advance the adoption of Oatly products to new customers

• Identifying and nurturing genuine and strong relationships that lead to mutually beneficial outcomes for Oatly and the top-tier businesses that are driving beverage culture

• Representing the brand with integrity in all interactions, commitment to our company values, positive energy, and deep product knowledge

• Initiating and executing local events; either Oatly-led or in partnership with external stakeholders

• Developing and testing innovative beverage application recipes using Oatly products for operators focused on coffee, tea, cocktails, smoothies, and beyond

• Proactively researching and anticipating beverage industry trends, consumer preferences, and flavor profiles

• Working closely with the commercial, retail, and beverage teams to gather insights and align with customer needs

• Presenting and pitching innovative drink concepts to customers and internal stakeholders

We're looking for someone who is highly creative, obsessed with emerging trends, and keen to push the boundaries of taste and experience in the drink sector. If you're passionate about building relationships and making connections in the specialty beverage world, this could be the perfect role for you.

Required qualifications include:

• Demonstrated passion for and experience in beverage development, whether through formal education, work experience, or personal projects

• Excellent presentation and communication skills to effectively pitch new concepts and share your vision

• Comfortable working in a small team with a high degree of autonomy and initiative

• Familiarity with food and beverage operations and their ways of working

• Must reside in a major metropolitan area in the Southeast due to business needs: Atlanta, Orlando, Miami

• Must be willing to travel up to 30% domestically, with the potential for 1-2 international trips annually

We offer a competitive salary and benefits package, including flexible vacation time, paid volunteer days off, and a generous 401(k) matching program. We're a nimble and agile company that values innovation and creativity, and we're excited to welcome a talented and motivated individual to our team.

If you're interested in this opportunity, please submit your resume and a cover letter explaining why you'd be a great fit for this role. We look forward to hearing from you!

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Sustainability, health, and transparency are the core values that guide everything we do. Basically, we exist to help people live a healthier life without recklessly taxing the planet's resources in the process, and to change the food system for the better. We drive that change through the power of oats and through a significant reduction in cow's milk consumption.

The Beverage Market Developer will be key in Oatly's mission to lead taste innovation within the specialty and out-of-home (OOH) beverage world. This role goes beyond coffee, encompassing a wide range of beverage applications, including mixology, tea-based drinks, and emerging beverage trends.

Key responsibilities include:

• Creating, leading, and executing Oatly’s beverage development strategy to advance the adoption of Oatly products to new customers
• Identifying and nurturing genuine and strong relationships that lead to mutually beneficial outcomes for Oatly and the top-tier businesses that are driving beverage culture
• Representing the brand with integrity in all interactions
• Commitment to our company values, positive energy, and deep product knowledge
• Initiating and executing local events; either Oatly-led or in partnership with external stakeholders
• Developing and testing innovative beverage application recipes using Oatly products for operators focused on coffee, tea, cocktails, smoothies, and beyond
• Proactively researching and anticipating beverage industry trends, consumer preferences, and flavor profiles
• Working closely with the commercial, retail, and beverage teams to gather insights and align with customer needs
• Presenting and pitching innovative drink concepts to customers and internal stakeholders

We're looking for someone who is:

• Energized by building relationships and making connections in the specialty beverage world
• Understanding of the beverage industry in the US, with a finger on the pulse of emerging global beverage trends
• Knows their local market incredibly well and has a great network of specialty beverage relationships they can tap into
• Strong alignment with Oatly's mission of promoting health, sustainability, and innovation in the food industry
• Curiosity-driven approach to exploring new flavors, ingredients, and beverage concepts
• Creative problem-solving skills with a willingness to experiment and fail

Required experience includes:

• Demonstrated passion for and experience in beverage development, whether through formal education, work experience, or personal projects
• Excellent presentation and communication skills to effectively pitch new concepts and share your vision
• Comfortable working in a small team with a high degree of autonomy and initiative
• Familiarity with food and beverage operations and their ways of working

And here’s another list of qualities we think make a good Oatly team member:

• You feel connected to our mission of encouraging health, sustainability, and transparency
• You are a self-starter who doesn’t need direct supervision to motivate you for success – we believe strongly in building a culture of individual accountability and ownership, and need partners that can embrace that mentality
• You are ready to make your mark in a smaller, growing brand, leveraging your experience to deliver amazing results and build an outstanding company
• You have an entrepreneurial spirit in that you’re comfortable with ambiguity and are energized by the process of building something lasting from the ground up
• You enjoy sharing your quirkiness and talents with your coworkers

We sweeten the deal when you work with us, like flexible vacation (take it when you need it), really great benefits (yes, pet insurance is in there), paid volunteer days off throughout the year (doing good is fun), free six packs of... oatmilk, and you’ll also get genuinely great coworkers who are rooting for each other and the company to thrive.

Oh, one more short but very important sentence: We are nimble and agile (not chaotic) in how we work, and we’re grounded in a long company history dating way back to the last century.

The salary for this role will be based on a variety of factors, including but not limited to geographic location, internal equity, experience, education, specialty, and training. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. Compensation may also include a bonus, commission, or equity as applicable. Our good faith estimate for base salary is $80,000.

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This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Technical Leadership & Collaboration

• Serve as the primary technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Provide technical training and knowledge transfer to customer teams
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Agent Development Wiz
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

• Infrastructure Guru
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role

• Customer Product Whisperer
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

• Deep Research for Due Diligence
• Churn Prediction
• Data Extraction Voice Agent

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Pay Transparency

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD

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As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers, and industry norms. The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet.

Responsibilities

• Operate Anthropic's HIPAA compliance review program, executing on HIPAA obligations across the product portfolio.
• Run a dedicated HIPAA review track in parallel with the Product Security Review (PSR) process, applying compliance checklist to every in-scope change and recording a complete, auditable disposition before release.
• Build and maintain change monitoring mechanisms to catch HIPAA-relevant changes , including default setting changes and incremental updates.
• Partner with product and engineering teams upstream to ensure HIPAA considerations are built into first releases rather than addressed as post-launch remediations.
• Assess and document PHI data flows, infrastructure boundaries, and control coverage across Anthropic's cloud-native product environments.
• Write, update, and enact HIPAA policies, checklists, deployment guides, and audit evidence packages.
• Manage Business Associate Agreement (BAA) obligations and coordinate with legal and external counsel on PHI determination questions and emerging regulatory requirements.
• Contribute to Anthropic's broader compliance program, including adjacent frameworks (SOC 2, ISO 27001, NIST 800-53) where they intersect with HIPAA obligations.

Requirements

• 3+ years of progressive experience in compliance roles, including direct ownership of a HIPAA compliance program at a technology company
• Evaluated PHI data flows and infrastructure boundaries in cloud-native environments (AWS, GCP, or Azure) and can assess HIPAA exposure without always needing to escalate to legal
• Designed and operated a compliance review mechanism integrated into a product development or release process
• Translate HIPAA technical compliance requirements into actionable workstreams for engineering and product teams
• Deliver clear, precise compliance documentation , policies, checklists, audit evidence, deployment guides , for both technical and non-technical audiences
• Thrive in fast-paced, ambiguous environments where you're expected to build processes from scratch and keep them working under rapid product change
• Energized by being the organizational expert who educates and influences rather than only advises

Preferred Qualifications

• Worked in AI/ML or developer-platform companies and understand the unique challenges of PHI exposure in model inference and API environments
• HITRUST CSF experience or experience mapping HIPAA requirements to HITRUST controls
• Implemented or significantly contributed to compliance automation or GRC tooling integrations
• Relevant certifications (CHPC, HCISPP, CISA, CISM, CISSP, or equivalent)

What We Offer

• Annual compensation range: $255,000-$255,000 USD
• Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to Apply

If you're interested in this role, please submit your application through our website. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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You will also provide support for the Board of Directors and executive leadership team on governance- and shareholder-related matters, including preparation and review of agenda and materials for meetings of the Board and its committees. Additionally, you will support corporate transactions, including drafting and negotiation of NDAs, letters of intent, definitive agreements, and other ancillary documents in mergers and acquisitions and financial transactions.

To be successful in this role, you will need to have a Juris Doctor (J.D.) from an ABA accredited institution, a current, active license to practice law in the United States, and prior relevant experience in corporate governance and securities law. You should also have excellent judgment, attention to detail, communication (verbal and written), organizational and interpersonal skills, and the ability to work collaboratively across multiple groups and functions.

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At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Internal Audit IT Manager, you will own end-to-end delivery of complex IT and security audits across our cloud infrastructure, security operations, and crypto-native systems.

Key responsibilities include:

• Owning end-to-end delivery of IT and security audits, from risk assessment and scoping through planning, fieldwork, testing, reporting, and issue validation,covering cloud infrastructure (AWS, GCP), security operations, identity and access management, data protection, IT asset management, vendor/third-party risk, and key in-scope products and services including blockchain infrastructure, centralized and self-hosted wallets, and cold storage.

• Driving AI-enabled audit execution, designing and implementing data analytics, automation, and Generative AI solutions to modernize how we audit (e.g., continuous monitoring, anomaly detection, automated evidence retrieval, AI-assisted workpaper drafting),while maintaining rigorous human-in-the-loop validation to ensure accuracy and audit-quality conclusions.

• Executing audits aligned with the multi-year IT and security audit roadmap, coordinating coverage with co-sourced partners and cross-functional risk initiatives while ensuring alignment with Coinbase's enterprise risk profile, technology strategy, and regulatory expectations across regions (US, EMEA, APAC).

• Driving high-quality, risk-based findings and executive-level reporting, distilling key themes, emerging risks, and root causes into clear, concise materials for senior management and the Chief Audit Executive,ensuring findings are appropriately documented and supported by evidence.

• Partnering with technology and security leadership across Engineering, Security, Infrastructure, Product, and Operations to build trusted relationships, challenge control design, and advise on pragmatic, risk-based, scalable remediation while maintaining third-line independence.

• Driving disciplined issue management, ensuring timely, risk-based remediation by management, high-quality root cause analysis, and validation of remediation activities,escalating delays or thematic concerns to senior leadership as needed.

• Evaluating and developing talent, assessing candidates and helping build a high-performing, technically credible audit team.

Requirements include:

• 7+ years of experience in IT/security internal audit, technology risk, or first-line security/engineering roles with significant controls exposure.

• Experience working in a fast-paced, cloud-native, or engineering-driven environment where technology and security practices evolve rapidly.

• Hands-on audit experience with cloud platforms (AWS, GCP), including IAM policies, security configurations, logging/monitoring, and CI/CD pipelines.

• AI-forward mindset with demonstrated experience applying Python, SQL, or AI tools to audit or security work, building workflows rather than just prompting.

• Relevant professional certifications (e.g., CISA, CISSP, CIA, CISM) required; CPA or CFE a plus.

• Working knowledge of key frameworks such as NIST CSF, COBIT, SOC 2, and ITIL.

• High EQ and collaborative style.

• Proven ability to translate complex technical findings into clear, executive-ready narratives for both technical and non-technical audiences.

• Ability to manage multiple audits and initiatives across time zones (EMEA, APAC) with minimal oversight.

• Demonstrated leadership and team-development experience, including mentoring, coaching, and managing direct reports.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

• Experience auditing or building blockchain infrastructure, crypto custody, or wallet systems (hot/cold storage).

• Background in a high-growth or rapidly scaling environment with complex, evolving technology stacks.

• Experience with GRC platforms (Workiva, Archer, AuditBoard) or building custom audit automation tooling.

• Familiarity with DORA, MiCA, or crypto-specific regulatory frameworks.

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As a Power & Resource Efficiency Engineer, you'll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.

You'll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.

Responsibilities

• Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.

• Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.

• Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.

• Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.

What We're Looking For

• Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis.

• Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.

• Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.

• Exposure to accelerator deployments and their power management interfaces strongly preferred.

• Demand response, grid interaction, or behind-the-meter generation experience is a plus.

• Ability to translate between infrastructure engineering, software teams, and external partners.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.

• 5+ years of experience in data center infrastructure or facility engineering.

• Demonstrated experience with data center power distribution and cooling system architectures.

• Experience building or operating software-based power management, load scheduling, or control systems.

• Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations.

• Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP).

• Track record of cross-functional collaboration across hardware, software, and facilities teams.

Preferred Qualifications

• Master's or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering.

• Experience with accelerator-class deployments and their power management interfaces.

• Background in control theory, dynamical systems, or cyber-physical systems design.

• Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation.

• Familiarity with reliability engineering methods.

• Experience with SLA development, availability modeling, or service credit frameworks.

• Exposure to ML/optimization techniques applied to infrastructure or energy systems.

Salary

The annual compensation range for this role is $320,000-$405,000 USD.

Benefits

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with our team.

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This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

Key responsibilities include:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

The ideal candidate will have:

• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6–10 years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

• Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

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The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

Key responsibilities include:

• Contributing to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.
• Designing and developing ML and Generative AI systems in cloud-based production environments at scale.
• Building and managing enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
• Implementing and operationalizing agentic AI workflows with tool use using frameworks such as LangChain and LangGraph.
• Driving adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management.
• Establishing best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.

The ideal candidate will have:

• 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Experience operating orchestration systems such as Kubernetes at scale.
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more.
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders.
• Strong focus on scalability, reliability, performance, and ease of use.

Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health & coaching benefits, flexible vacation & paid volunteer time off, and generous paid parental leave.

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Key responsibilities include:

• Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit's products in Go, C++, and sometimes Python.
• Dive deep into the codebase of supported storage systems to understand system internals.
• Make system-level improvements, enhancements, and implement complex code modifications.
• Engage actively with the open-source community to implement and upstream changes to the OSS codebase.
• Contribute to the design and implementation of high-performance, large-scale distributed storage systems to power various use cases at Reddit.
• Collaborate closely with engineering teams and stakeholders to integrate storage capabilities into broader storage infrastructure and use cases across Reddit.

Requirements include:

• 7+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure.
• Software development experience in one or more general-purpose programming languages; Golang, Python, C++, Java.
• Hands-on experience implementing features, optimizations, and bug fixes to distributed storage systems.
• Experience contributing code improvements, features, and bug fixes to open-source (OSS) projects.
• Prior experience with operating a large-scale critical infrastructure system with a focus on automation and workflow development is a plus, especially in a role where they were required to be on call.
• Excellent communication skills to collaborate with a service-oriented team and company.

Benefits include:

• Comprehensive healthcare benefits and income replacement programs.
• 401k match.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and Reddit global days off.
• Generous paid parental leave.
• Paid volunteer time off.

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

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Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on,from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.

As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure

• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth

• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services

• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise

• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling

• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure

• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others

• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale

• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems

• Have strong proficiency in at least one of Python, Rust, or Go

• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities

• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)

• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads

• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies

• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale

• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling

• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

Logistics

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

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

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

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

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

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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As an Engineer on the Kubernetes Core Interfaces Team, you’ll design and implement scalable solutions that simplify administration and enhance the user experience of CoreWeave’s Kubernetes platforms. You will develop Helm charts, custom controllers, API endpoints, and other control plane components, while building automation, dashboards, alerts, and testing frameworks. You’ll participate in the on-call rotation and collaborate closely with your teammates in a supportive, high-performance environment that encourages curiosity, ownership, and personal growth.

Some of what you’ll work on:

• Design and implement solutions for scale, fault tolerance, and operational simplicity in CoreWeave’s Kubernetes platforms.

• Develop Helm charts, custom controllers, CRDs, gateways, API endpoints, and other Kubernetes control plane components.

• Build deployment automation, monitoring dashboards, and operational insights for Kubernetes services.

• Participate in the team’s on-call rotation, contributing to incident response and operational excellence.

• Collaborate with teammates to share ideas, provide feedback, and grow together in a high-trust environment.

Who You Are:

• 3+ years of experience in software or infrastructure engineering.

• Experienced in developing fault-tolerant, testable software services, primarily using Go.

• Familiar with Kubernetes concepts and/or experienced administrating Kubernetes clusters.

• Comfortable working with Linux systems, shell scripting, and Linux storage/networking stacks.

• Collaborative, curious, and excited to contribute to a diverse, high-performance team.

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

• You enjoy solving complex challenges at scale and improving operational workflows.

• You’re curious about cloud infrastructure, Kubernetes, and high-performance systems.

• You thrive in a collaborative environment, sharing knowledge, and learning from teammates.

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.

Responsibilities:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.

• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.

• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.

• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.

• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.

• Debug and resolve complex production issues that span services and layers of the stack.

• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

Requirements:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.

• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.

• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.

• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.

• Strong system design skills and a track record of architecting resilient production systems.

• Excellent communication skills, with experience collaborating across teams and mentoring others.

Preferred Qualifications:

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.

• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).

• A history of developing complex, real-time distributed systems at scale.

• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.

• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.

• Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.

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This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

Responsibilities

• You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.
• You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You'll get to work with the teams that build the UI to ensure a good user experience, and you'll get to work with the teams building solutions on top of these APIs
• You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.
• You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts, and sometimes handling them yourself.
• You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements

• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
• You have experience with software systems engineering
• You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code, approaches, and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You’ve worked in the search and information retrieval space. You’re familiar with the data structures and algorithms associated with information retrieval.
• You’ve worked on data storage technology or have experience building data analytics capabilities.
• You have experience designing, leading and owning cross-functional initiatives.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is:$133,100-$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900-$252,900 USD

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About Us

Google DeepMind is a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence.

The Role

As a People & Culture (P&C) Partner to our Central Operations, Responsibility and Engagement (CORE) teams, you'll be a pivotal force in shaping and accelerating the delivery and performance of your Organisation's highest priorities. Working alongside the wider P&C team, you will collaborate directly with CORE senior leaders to cultivate healthy, high-performing teams.

You'll deeply understand the business, provide strategic direction and coaching and lead change management initiatives across a dynamic, global organization. You will proactively design and implement creative people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational goals, delivering measurable, impactful results.

Key Responsibilities

• Driving business strategy and outcomes - deeply understand the organization’s product, business and goals, and drive people strategies and tactics to support it

• Delivering high impact solutions to challenges including organization design and leadership capability, ensuring alignment with strategic goals

• Partnering with and coaching senior leaders to develop their skills and improve team and organizational performance

• Acting with confidence and strong judgement in an inspiring and fast paced environment, instilling trust in everyone you interact with, and delivering thoughtful, bespoke and creative solutions

• Being proactive and adaptable, anticipating and addressing challenges before they arise

• Utilizing a data driven approach to partnering

About You

In order to set you up for success as a People & Culture Partner at Google DeepMind, we look for the following skills and experience:

• You have substantial experience operating as an HR professional, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies.

• You thrive in a dynamic environment and possess the ability to lead and manage multiple complex projects simultaneously, while effectively prioritizing and delegating tasks. You seamlessly transition between strategic planning and hands-on execution, demonstrating a strong understanding of both the operational and strategic aspects of HR.

• You possess an outstanding understanding of human behavior including a strong understanding of self.

• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations.

• Ability to leverage and promote AI for team and organisational productivity

• You are a seasoned thought partner who has cultivated deep, trusting 1:1 relationships with senior leaders, enabling you to effectively influence decisions.

• You are extremely organized, you are used to working at a very quick pace and balancing many different tasks. You are proactive and see what needs to be done.

• You can effectively navigate ambiguity and enjoy changeable environments where you can implement creative and innovative ideas. You are a strategic thinker with a passion for driving organizational success and fostering a culture of excellence.

• You are looking for a career defining role in a mission-driven and pioneering organization.

In addition, the following would be an advantage:

• Experience within a fast-paced, technology-driven environment

• Experience working within AI or a product organization, and/or working within Alphabet

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As a Senior Data Scientist, you'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

Increasingly, you'll use AI-assisted tools to accelerate analysis, coding, and insight generation. You'll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You'll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.

Key responsibilities include:

• Partnering with product teams to help them identify important questions and answer those questions with data
• Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities
• Designing, building, and updating end-to-end data pipelines
• Partnering closely with product researchers to build a holistic understanding of our customers, products, and business
• Using AI-assisted tools to accelerate analysis, coding, and insight generation
• Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks
• Building scalable data products that enable stakeholders to self-serve insights

Requirements include:

• 5+ years of experience working with data to solve problems and drive evidence-based decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
• Strong product intuition, business acumen, and ability to connect analysis to strategy
• Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• Strong ownership, curiosity, and growth mindset
• Experience with a scientific computing language (e.g., Python)

Preferred skills include:

• Experience with data modeling and ETL pipelines (esp. dbt)
• Experience building internal tools, data products, or self-serve analytics capabilities
• Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication

Benefits include:

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow

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Our team is fast-paced and agile, comprising engineers, a product manager, and designer. We work closely together to deliver innovative solutions that meet the needs of our customers.

Responsibilities:

• Design and develop high-quality iOS applications using Swift and Objective-C
• Collaborate with the product manager and designer to define and prioritize features
• Work with the engineering team to ensure seamless integration with other components
• Participate in code reviews and contribute to the improvement of our codebase
• Mentor junior engineers and help them grow in their careers

Requirements:

• 8+ years of professional iOS development experience
• Excellent communication and collaboration skills
• Experience building public or internal mobile APIs/SDKs and working with Swift and Objective-C
• Experience with UIKit, SwiftUI, programmatic Auto Layout, and iOS design patterns (MVVM, reactive programming)
• Experience with Unit/UI/integration/performance testing on iOS (Quick, Nimble, XCTest, XCUITest, etc.)
• Experience with Realm database or similar mobile NoSQL solutions
• End-to-end ownership of mobile applications or SDKs
• Experience with mobile CI/CD pipelines (GitHub Actions)

Preferred Qualifications:

• 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions
• Experience with iOS security best practices, including cryptography (RSA, CommonCrypto), biometric authentication (Face ID/Touch ID), iOS Keychain, Authentication Service framework, and secure data storage
• Experience with reactive programming frameworks (ReactiveSwift, Combine) and migrating legacy architectures to MVVM patterns
• Experience with infrastructure-as-code tools (e.g., Fastlane, Swift Package Manager, Snyk, or Terraform)

If you are a motivated and experienced iOS engineer looking to join a dynamic team, we encourage you to apply.

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Your responsibilities will include leading the development of agent pipelines, architecting composable agent SDKs with built-in safety and robust fallback strategies, designing tracing tools and alert dashboards to ensure agent performance and quality, owning the agent lifecycle, collaborating closely with security and operations teams to ensure agent governance and auditability, mentoring and upleveling teammates on best practices in observability and resilience, and solving challenging technical problems across the stack to develop critical customer-facing features.

We're looking for engineers who want to shape the next generation of intelligent agents – people who care deeply about building reliable, modular systems and elevating those around them. If you're energized by architecting robust agent SDKs, creating tools that ensure safety and observability, and mentoring others, you'll thrive at Lumos.

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As the person who executes service delivery for our clients, you have the unique opportunity to help your regional account team spot opportunities to improve and grow our customers' business. You will be charged with helping Flexport account management teams and clients solve exceptional challenges in order to move their shipments in less time with lower costs and via improved productivity by your team, unblocking issues and establishing procedures to prevent them in the future.

Scope of Duties:

• Execute booking and documentation processes with clients/carriers
• Timely shipment troubleshooting and exception escalation/handling
• Work intimately with Flexport AM, Planning team to ensure an effective end to end export process.
• Plan and execute special freight operations (i.e. DG, reefer, etc).
• Assist Associate on new business/process implementation, new projects and new tasks.
• Support internal and external clients to make the best decision with your expertise;
• Live and act with integrity guided by the company values including sustaining a high bar for operational quality and service.
• Inform the business process and software capability needs to help scale our growing team while improving quality, service, efficiency and regulatory compliance.
• Contribute to the development and implementation of the procedure and system to differentiate Flexport operations from the industry.

What you will need:

• Experience: BA/BS degree
• (Preferred) 1-2 years of prior experience in Logistics, Warehousing, Freight Forwarding, Supply Chain or Consulting;
• Mindset: Desire to 'build a better machine' and get irritated when things aren't optimal
• Hands-on, process-oriented, structured thinking with strong problem-solving capabilities
• Strategic vision and ground floor execution
• Excitement to manage vendor relations and create best-in-class, innovative structures to do so
• Excellent communication, interpersonal and organizational skills
• A client service mindset; you are obsessed with client and squad happiness
• Next-level attention to detail
• Courage to challenge the status quo when logic and reason require it. See something broken? Fix it!
• Flexibility to get the job done when needed. Willing to work outside office hours and occasional weekend or night shifts in certain locations.

What you will learn:

• You will learn what it takes to lead small teams in the execution of day-to-day tactical tasks.
• You will learn how to thrive in an ambiguous environment, research and test operational hypotheses and inform the strategy of a newly built team.
• You will gain specialist expertise to become an ocean or network operations and intermodal subject matter expert within the company. You are the leading advisor in this area, someone our clients, partners, and internal teams go to for advice and strategy.
• You will gain the ability to continuously improve the client experience through a deep industry understanding. You are singularly positioned to realize how we can both work within and push the logistics industry forward to meet the standards of Flexport's client-centric service.

Future tracks this role could lead to:

• Procurement or other expert roles requiring deep expertise in a specific area of supply chain management. You are the leading advisor in this area, someone our clients, partners, and internal teams go to for advice and strategy. You will have built processes and tools or led webinars, amplifying your knowledge.
• Client advisor/account management. Your deep passion for growing our customers' business sets you on a path to become their advocate and representative at Flexport.
• Team leadership. You learn how to be a player-coach who apprentices team members on skill development.

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This role owns large, ambiguous problem spaces directly tied to company metrics and translates them into a clear six-month technical roadmap, leading delivery for 15–20 engineers across team boundaries. You will collaborate on ideas that shape area-level decisions, communicate effectively at all levels, and continuously integrate evolving business context into product and platform direction.

You will set and model high standards for engineering and operational excellence,driving reliability, scalability, execution rigor, and long-term maintainability across foundational systems,while remaining deeply hands-on through daily coding, design authorship, critical reviews, and architectural leadership.

The role influences Core Engineering roadmaps, establishes technical direction, and brings strong instincts for high-quality consumer-facing experiences. You will mentor senior talent, raising the technical bar through coaching and example, and extend your impact through org-level technical leadership.

Over time, this leader grows from a cross-team technical driver into an org-level technical strategist, optimizing for the company as a whole rather than a single scope.

This team will own project Optimize Activation and Engagement Flows for Team Users. Lead a multi-year plan to modernize onboarding and activation, clean up core Dropbox surfaces, and build intelligent, adaptive systems that boost team activation, invites, and long-term engagement across platforms.

Opportunity for large impact on the business helping Teams users activate on the right features to drive down churn.

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You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Customer Integration & Deployment

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.

Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).

Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.

Deploy and configure AI models and agents within customer security and compliance boundaries.

AI Agent Development

Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.

Architect multi-agent systems that orchestrate between different models, tools, and data sources.

Implement evaluation frameworks to measure agent performance and iterate toward business objectives.

Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.

Prompt Engineering & Optimization

Create sophisticated prompt engineering strategies optimized for customer-specific domains and data.

Build and maintain prompt libraries, templates, and best practices for customer use cases.

Conduct systematic prompt experimentation and A/B testing to improve model outputs.

Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate.

Leadership & Collaboration

Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts.

Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration.

Work closely with Scale's product and engineering teams to translate customer needs into product improvements.

Document technical architectures, integration patterns, and best practices.

Problem Solving & Innovation

Debug complex technical issues across the entire stack, from data pipelines to model outputs.

Rapidly prototype solutions to unblock customers and prove out new use cases.

Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems.

Identify opportunities for productization based on common customer patterns.

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At Coinbase, our mission is to increase economic freedom in the world.

Join Coinbase’s India Country team to own the region’s overall strategy and business performance.

Drive cross-functional execution across Product, Policy, and Marketing to launch locally relevant initiatives that accelerate user growth and revenue while identifying and building relationships with potential future commercial partners and existing stakeholders.

Blending executive leadership with regulatory advocacy to build a high-performing team and secure Coinbase’s long-term market position in India within an evolving regulatory environment requiring constant recalibration of risk versus reward managing the brand reputation of an overseas-controlled entity.

What you’ll be doing:

Own and drive Coinbase’s overall business performance in India, with accountability for user growth, revenue, and long-term market position

Define and execute the country strategy, identifying high-impact growth opportunities grounded in market, regulatory, and competitive analysis

Partner with Product, Engineering, and Design to shape and launch locally-relevant products, ensuring strong product-market fit within regulatory constraints

Lead cross-functional execution in partnership with Marketing, Business Development, Legal, Compliance, and Policy to deliver India-specific initiatives at speed while hedging for success given an evolving regulatory roadmap.

Note, there are significant potential penalties facing players in the DCE space in India and you will need to be acutely aware of where these risks come from and how to deal with them

Play a senior leadership role in regulatory and policy engagement, helping unlock new products and ensure ongoing compliance with Indian requirements

Build, hire, and develop a high-performing local team, while reinforcing Coinbase’s mission, values, and operating standards

Serve as a senior representative of Coinbase in India, engaging with regulators, key partners, clients, media, and industry forums as appropriate

Act as a connective tissue between India and global teams, ensuring alignment with global priorities while advocating for local needs

Communicate clearly and credibly with executives and cross-functional leaders, synthesizing complex issues into actionable insights and decisions

What we look for in you:

Senior leadership experience (CEO, COO, GM, Founder, or equivalent) leading and scaling either a platform, ecommerce, fintech, trading business in India, with measurable impact on revenue and/or active users

Completion of a minimum of 5 years’ experience in a senior leadership function on one of the above industries

Understanding of the Indian regulated financial services ecosystem, including experience operating under regulatory oversight

Proven track record partnering with Product, Marketing, and Business Development to build, launch, and scale products in regulated environments

Direct experience engaging with regulators and policy stakeholders, with the ability to balance constructive relationships and commercial outcomes

Strong understanding of how regulated financial institutions operate across functions such as Compliance, Risk, Finance, Treasury, Audit, and third-party oversight

Comfortable operating in a remote-first, globally matrixed organization, aligning local execution with global standards

Highly pragmatic and solutions-oriented, with a bias toward action and continuous improvement

Exceptional written and verbal communication skills in English, with the ability to influence senior stakeholders and external audiences

Structured, analytical problem-solver who can navigate ambiguity and make sound decisions with imperfect information

Strong interest in crypto and blockchain (prior expertise helpful but not required), with curiosity and conviction about the space’s future

Nice to haves:

Previous experience working in a multinational / US-headquartered business entering the Indian market

Experience with retail-oriented payments, trading, or brokerage platforms

Previous work experience or personal interest in crypto/blockchain space

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At Cresta, shipping AI is only half the story. Ensuring that AI interacts with humans reliably, accurately, and empathetically at scale is where the real challenge lies. As the QA Lead, AI Agent, you will be the ultimate guardian of the customer experience for our AI Agent product line. This role is perfect for a strategic quality expert who loves the intersection of human psychology and machine logic.

You will own the end-to-end quality strategy, from designing complex test plans for non-deterministic LLMs to building automated and scalable testing environments using Cresta's proprietary no-code test and evaluation tools. You aren't just looking for bugs; you are building the framework that allows Cresta to deploy world-class AI agents for the world's largest enterprises with total confidence.

Responsibilities

• Architect & Scale AI Evaluation Systems: Design and oversee the end-to-end framework for testing AI agent systems at scale. You will leverage LLM-driven methodologies,including automated simulations, "LLM-on-LLM" rubrics, and adversarial red-teaming,to ensure reliability, policy adherence, and logic across complex, multi-turn conversational flows.

• Drive Deployment Excellence: Partner with Forward Deployed Engineers and PMs to triage issues, identify bottlenecks, and create new test cases on the fly to address real-world deployment challenges.

• Be the Customer’s Voice: Conduct manual UAT and voice-call testing to represent the end-customer experience. You take it personally when an agent lacks empathy or clarity, and you excel at articulating these nuances to the engineering team and clients.

• Lead and Scale the Team: lead a pod of QA analysts and partners. You will define the best practices, communication loops, and shared knowledge base that allow the QA function to scale alongside our rapidly growing product line.

Requirements

• 5+ years of experience in Quality Engineering, Deployments, or Technical QA, ideally within an AI or high-growth SaaS environment.

• Systems Thinking: A strong technical intuition and curiosity about how LLMs work. While you don't need to code, you must be comfortable navigating technical concepts like LLM, RAG, prompt logic, and multi-turn conversational flows.

• Operational Leadership: Proven ability to large E2E technical projects through partners, and a passion for building processes that improve efficiency between QA, Engineering, and Product.

• The "QA Nose": An uncanny ability to find the edge case and a bias toward action. You anticipate bottlenecks before they happen and deliver solutions with urgency.

• High Empathy: A consultative mindset with the ability to represent the "human element" of a customer support interaction.

• Startup Agility: You thrive in fast-paced environments, excel at turning ambiguity into execution, and are comfortable "rolling up your sleeves" to build.

Bonus Points

• Experience with CCaaS (Contact Center as a Service), telephony, or STT/TTS (Speech-to-Text) technologies.

• Background in Conversation Design or SDET roles.

• Experience leading team with direct reports.

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Your responsibilities will include:

• Building out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contributing to and leading each step of the product development process, from ideation to implementation to release
• Partnering with design, product, and backend teams to build end-to-end functionality
• Employing automated testing to build features with a high degree of technical quality
• Growing as an engineer by working with world-class peers on varied and high impact projects

We're looking for candidates with 1+ years of industry backend development experience, proficiency in common backend tech stacks, and experience building & operating large scale distributed systems and/or networks.

As a Pinterest engineer, you'll have the opportunity to:

• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation

If you're passionate about building Tomas and working with a talented team, we'd love to hear from you!

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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As a Software Engineer on the Research Data Platform team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet), high-volume time series data , ingestion, storage, and efficient querying, data cataloging, lineage, or metadata management systems, or ML experiment tracking or metrics platforms.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Country Director for Canada to own the region’s overall strategy and business performance.

As a senior leader, you will drive cross-functional execution across Product, Policy, and Marketing to launch locally relevant initiatives that accelerate user growth and revenue.

Blending executive leadership with regulatory advocacy to build a high-performing team and secure Coinbase’s long-term market position in Canada.

Responsibilities:

• Own and drive Coinbase’s overall business performance in Canada, with accountability for user growth, revenue, and long-term market position

• Define and execute the country strategy, identifying high-impact growth opportunities grounded in market, regulatory, and competitive analysis

• Partner with Product, Engineering, and Design to shape and launch locally-relevant products, ensuring strong product-market fit within regulatory constraints

• Lead cross-functional execution in partnership with Marketing, Business Development, Legal, Compliance, and Policy to deliver Canada-specific initiatives at speed

• Play a senior leadership role in regulatory and policy engagement, helping unlock new products and ensure ongoing compliance with Canadian requirements

• Build, hire, and develop a high-performing local team, while reinforcing Coinbase’s mission, values, and operating standards

• Serve as a senior representative of Coinbase in Canada, engaging with regulators, key partners, clients, media, and industry forums as appropriate

• Act as a connective tissue between Canada and global teams, ensuring alignment with global priorities while advocating for local needs

• Communicate clearly and credibly with executives and cross-functional leaders, synthesizing complex issues into actionable insights and decisions

What we look for in you:

• Senior leadership experience (CEO, COO, GM, Founder, or equivalent) leading and scaling a fintech business in Canada, with measurable impact on revenue and/or active users

• Completion of the Canadian Securities Institute (CSI) – Partners, Directors and Senior Officers Course (PDO) and a minimum of 5 years’ experience in the financial services industry

• Deep understanding of the Canadian regulated financial services ecosystem, including experience operating under regulatory oversight

• Proven track record partnering with Product, Marketing, and Business Development to build, launch, and scale products in regulated environments

• Direct experience engaging with regulators and policy stakeholders, with the ability to balance constructive relationships and commercial outcomes

• Strong understanding of how regulated financial institutions operate across functions such as Compliance, Risk, Finance, Treasury, Audit, and third-party oversight

• Comfortable operating in a remote-first, globally matrixed organization, aligning local execution with global standards

• Highly pragmatic and solutions-oriented, with a bias toward action and continuous improvement

• Exceptional written and verbal communication skills in English, with the ability to influence senior stakeholders and external audiences

• Structured, analytical problem-solver who can navigate ambiguity and make sound decisions with imperfect information

• Strong interest in crypto and blockchain (prior expertise helpful but not required), with curiosity and conviction about the space’s future

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Nice to haves:

• Previous experience working in a multinational / US-headquartered business

• Experience with retail-oriented payments, trading, or brokerage platforms

• Previous work experience or personal interest in crypto/blockchain space

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus): $281,200-$281,200 CAD

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As an Engineering Manager, you will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. You will define and drive the strategy for IAM systems, including authentication and access control. You will build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.

Key responsibilities include:

• Providing technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.
• Partnering with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.
• Ensuring regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.
• Attracting and growing top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

Requirements include:

• 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast-paced, dynamic environment.
• Experience building large-scale distributed systems with high availability and security requirements.
• Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
• Proven success driving cross-functional security initiatives and influencing leaders without direct authority.
• Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.
• Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $190,000-$261,250 USD.

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In this role, you'll build the foundational systems that power our execution and infrastructure layers, including Zero.

This is a low-level, performance-critical role focused on runtime architecture, concurrency, and scalable execution.

You will make architectural decisions that directly impact how our systems execute, scale, and remain stable under load.

Responsibilities:

• Architect high-performance systems and leverage AI to implement them in Rust.

• Build and optimise core runtime, networking, or state management components.

• Profile and improve performance both at low-level (CPU, memory) and cluster-scale (network, scheduling).

• Debug race conditions, deadlocks, and production performance issues.

• Contribute to architectural decisions around scheduling, synchronisation, and system scalability.

• Own systems end-to-end from design through production.

About You:

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

• 2+ years of experience building systems-level or performance-critical software.

• Strong proficiency in systems programming and leveraging AI to build software.

• Deep understanding of concurrency, CPU architecture, cache hierarchy, and operating systems.

• Experience designing or contributing to low-level storage, compute, or network infrastructure.

• Strong intuition for striking a pragmatic balance between complexity for performance and simplicity for robustness.

• Experience using low-level profiling and debugging tools in production environments.

• Interest in working on distributed and execution-layer systems.

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You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team's Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• 'Smart' CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

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Key responsibilities include:

• Managing the Ocean P&L for your region through scaling volume and increasing yield
• Providing market-specific intelligence and directly interfacing with customers
• Designing Ocean FCL products and generating customized go-to-market strategies for customers
• Analyzing the P&L and creating reports for your regions
• Helping with tenders and RFQs for your district to secure regional and global customers
• Interfacing with procurement and pricing teams to drive profitable business, identify growth opportunities, and capture market-specific knowledge
• Identifying and driving improvement in go-to-market, operational, and financial processes
• Driving volume forecasting and allocation strategies for your region
• Participating in P&L reviews and book of business growth rhythms
• Partnering with commercial teams to understand and translate customers' growth potential and levers
• Driving financial health levers for your district including quoting, invoicing, and dispute escalation
• Building and maintaining local relationships with our core ocean carriers

Prerequisites include 5+ years of prior Ocean Freight experience at a top freight forwarder or carrier or 5+ years of supply chain experience and a BA/BS Degree. Mandatory experience in logistics pricing and procurement role, proficient English, French + Spanish or Italian mandatory, ability to dig out and interpret data, past P&L management experience preferred, bias to Action, Process, Structure, excellent communication, interpersonal, and organizational skills, an obsession with client happiness, courage to challenge the status quo when logic and reason require it, be positive, have fun, take your mission seriously but yourself not too seriously, and a driving license.

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Key Responsibilities:

• Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines
• Collaborate with program teams to define actionable ESS requirements from user story/CONOPs
• Execute and/or deliver the following ESS development artifacts/steps:
• ESS requirements, battery cell selection and validation
• Familiarity with ESS architecture and design concepts
• Battery management system (BMS) requirements, BMS HW and FW/SW design, BMS SW feature plan/roadmap, BMS validation plan at bench and HIL level
• Cell, module, and pack level validation plan. Support bring-up, test, debug, and vehicle integration
• Ramp plan from development units to production
• Sustain fielded ESSs with root cause analysis and data processing, drive countermeasures/design updates as needed

Requirements:

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with applied application focus on energy storage technologies, with 5+ years of experience designing, testing, and troubleshooting energy storage systems.
• Competence with battery test equipment such as cell and pack cyclers, thermal chambers, battery health testers (EIS, ACIR, hi-pot, megger, etc)
• One of the following: 1) Experience BMS programming cell modeling tools 2) Electrical circuit design/integrations experience.
• Familiarity with common electrochemical energy storage materials, technologies and boundaries of operation
• Knowledge of modern battery management system capabilities and requirements in HW and SW/FW
• Experience in battery characterization methods: mission profile validation, equivalent-circuit model characterization, cycle/calendar life assessment, safety features, etc.
• Understanding of UN38.3, NAVSEA S9310 and/or equivalent (UL, IEC) battery safety standards
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Preferred Qualifications:

• Graduate Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with a focus on energy storage technologies
• Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464
• Demonstrated experience in delivering robust, high-performance, energy storage systems with substantial technical ownership/contributions
• Demonstrated experience in battery testing, modeling, controls, and BMS integration/operation

Salary Range: $132,000 - $213,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

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Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimization, with 5+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

As a member of our team, you will be motivated by delivering customer value and impact, and will have the opportunity to work on a multi-year vision with incremental deliverables.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact.

Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities:

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organisational objectives.

• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.

• Lead the design, development, and deployment of high-performance AI systems, data pipelines, and intelligent services from conception through production.

• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short-term delivery with long-term resilience and scalability.

• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.

• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de-risk decisions, or accelerate progress.

• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalisation, search, and intelligent decision-making.

• Drive innovation in intelligence models, distributed training, optimisation techniques, and data engineering to maximise performance, quality, and business impact.

• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.

• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward-looking technical posture.

• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.

• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.

• Resolve conflicting requirements and priorities with sound technical judgment that favours long-term organisational outcomes over local optimisation.

• Advocate for intelligence-driven solutions across the organisation and influence company-wide technical priorities.

• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org-wide and EPD-level strategy.

• Provide mentorship and technical guidance to engineers and data scientists from mid-level through senior, fostering continuous learning and technical excellence.

• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.

• Facilitate knowledge sharing across teams through documentation, design write-ups, technical discussions, and mentorship programs.

• Act as a voice for engineers by synthesising feedback, surfacing gaps and risks, and communicating them clearly to leadership.

• Contribute to multi-year technical vision and roadmap planning, anticipating future scale, complexity, and organisational needs.

• Identify architectural, operational, and security risks early and mobilise proactive mitigation plans across org boundaries.

• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well-aligned.

• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company-wide strategy.

• Lead and support critical, high-impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.

• Drive execution on complex projects with significant ambiguity or high cost of failure.

• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.

• Promote a bias toward action, thoughtful experimentation, and continuous learning.

• Model excellence in engineering craft, collaboration, accountability, and inclusive behaviour.

• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.

• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements:

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise-scale AI adoption, automation, or data engineering.

• Proven track record of leading large-scale, multi-team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.

• Strong architectural judgment and systems thinking, with the ability to balance short-term delivery with long-term sustainability, scalability, and operational excellence.

• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision-making rather than formal authority.

• Experience mentoring engineers and raising the technical bar of an organisation through design reviews, code reviews, and technical guidance.

• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Preferred Qualifications:

• Strong coding ability in at least one language commonly used in AI and data systems such as Python, Java, Go, or Scala, with hands-on experience building models, data pipelines, or scalable production services.

• Experience operating in platform, infrastructure, or internal tooling organisations, including leading or significantly influencing org-wide technical initiatives.

• Proven ability to navigate ambiguity and competing priorities, drive clarity, and make sound technical and product trade-offs in partnership with product managers.

• Experience collaborating cross-functionally with product, design, infrastructure, and legal or privacy stakeholders to deliver AI-powered or data-intensive products responsibly.

• Familiarity with AI-assisted development practices in large codebases, along with experience representing engineering externally through talks, blogs, or industry events when applicable.

Compensation:

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At Pomelo Care, we are redefining the healthcare journey for women and children. As the leading virtual medical practice in our field, we provide a continuous circle of support,from the first steps of family building and the complexities of pregnancy to the nuances of postpartum, pediatric, and midlife care.

Your North Star: Support the acceleration of Pomelo’s health plan partnership pipeline through rigorous research, operational excellence, and deal support.

Responsibilities

• Support Pipeline Operations: Source and track health plan opportunities, maintaining data hygiene in our CRM to ensure accurate reporting and forecasting.
• Drive Meeting Preparation: Own the preparation for customer meetings, including researching stakeholder context, adapting pitch decks to highlight focus areas, and creating briefing materials for leadership.
• Synthesize & Execute: Synthesize key takeaways from partner meetings and own internal and external follow-up actions to keep deals moving forward.
• Conduct Market Research: Leverage existing data and resources to research prospective partners and health plan priorities, providing the team with actionable intelligence.
• Collaborate on Materials: Work closely with Partnerships and Marketing teams to develop pitches, conference materials, and case studies that showcase Pomelo’s value to payers.

Requirements

• 2-4+ years of experience in a client-facing or analytical role; management consulting background is strongly preferred.
• Healthcare Interest/Experience: 2+ years of healthcare experience or a demonstrated ability to ramp up quickly on complex domains (e.g., payer dynamics, value-based care).
• Structured Thinker: You have strong organizational skills and problem-solving aptitude, with a knack for structuring ambiguity into clear next steps.
• Action-Oriented: You are eager to thrive in a fast-paced, metric-driven environment and are willing to roll up your sleeves to get the job done.
• Strong Communicator: You have exceptional written and verbal skills, able to produce high-quality slides and written synthesis for internal and external audiences.

Benefits

• Competitive healthcare benefits
• Generous equity compensation
• Unlimited vacation
• Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Institutional Account Manager, you’ll join a dynamic, collaborative team of professionals whose performance is critical to Coinbase achieving its mission.

You will serve as a subject matter expert for Coinbase’s institutional suite of products, providing world-class service and support to our most valued institutional clients.

Diligent, customer-focused, and with a bias towards action, you will play a crucial role in the success of the Sales, Trading and Prime organization as we help build the crypto economy.

Responsibilities:

• As an Account Manager, you will be responsible for supporting some of Coinbase Institutional’s highest priority clients and working on initiatives to deliver an excellent client experience.

• You will partner with Senior Account Managers and Management to help support large and complex relationships across client segments including asset managers, banks, corporates and more.

• Understand complex, multi-product client workflows and strategies to ensure that our institutional clients are integrated appropriately and use our product suite efficiently with a focus on Coinbase Prime.

• This role will involve you working closely with cross-functional partners including Sales, Trading, Legal, Compliance and Operations to onboard clients and ensure they are supported across our full institutional product suite.

• You’ll provide a best-in-class experience for our clients through effective stakeholder management, conclusive prioritization, and efficient execution across initiatives.

• Effectively triage, manage, and prioritize incoming client requests. Handle requests through to resolution with limited support, including delegating across teams of subject matter specialists.

• Facilitate product demo calls, serving as subject matter specialist on product features in partnership with Sales.

• Distill client feedback to internal teams including Operations, Engineering, and Product when surfacing feature requests and manage client expectations.

• Manage client-related and team projects diligently and efficiently driving towards results that deliver on the client experience and efficiency.

What we look for in you:

• 4+ years of experience in the institutional client relationship space.

• Exceptional verbal and written communication skills with a focus on influencing outcomes.

• Ability to foster trusted and lasting relationships with clients and internal stakeholders to deliver results.

• Understanding of risks across key functions and workflow to identify issues and concerns.

• Organized and independent working style to enable you to manage your book of clients effectively.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

• Digital Assets experience & knowledge.

• Prior Prime Brokerage experience.

• Professional fluency in Mandarin is desired.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$178,700-$178,700 SGD

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You will set and model high standards for engineering and operational excellence, driving reliability, scalability, execution rigor, and long-term maintainability across foundational systems. You will remain deeply hands-on through daily coding, design authorship, critical reviews, and architectural leadership. You will influence Core Engineering roadmaps, establish technical direction, and bring strong instincts for high-quality consumer-facing experiences.

You will mentor senior talent, raising the technical bar through coaching and example, and extend your impact through org-level technical leadership. Over time, you will grow from a cross-team technical driver into an org-level technical strategist, optimizing for the company as a whole rather than a single scope.

This team will own project Optimize Activation and Engagement Flows for Team Users. You will lead a multi-year plan to modernize onboarding and activation, clean up core Dropbox surfaces, and build intelligent, adaptive systems that boost team activation, invites, and long-term engagement across platforms. Opportunity for large impact on the business helping Teams users activate on the right features to drive down churn.

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As a software engineer on our data infrastructure team, you'll design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities. You'll develop high-throughput systems for data ingestion, processing, and transformation , including training data catalogs, deduplication, quality checks, and search. You'll also build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.

You'll collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles. You'll implement and maintain monitoring and alerting to support platform reliability and performance.

If you're excited by distributed systems, large-scale data mining, open-source tools like Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building from the ground up, we'd love to hear from you.

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As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.

Quality Engineering & Test

Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases. Design and implement comprehensive test strategies covering:

• Native mobile applications (iOS & Android)
• Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
• Microservices and distributed systems
• Critical web workflows that intersect with mobile journeys
• Device, OS, browser, and network variability
• App lifecycle events, offline behavior, retries, and edge cases

Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows. Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.

Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management. Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.

Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.

AI-Driven Quality and Automation

Leverage AI to enhance mobile, backend, and web testing effectiveness, including:

• AI-assisted test case and test data generation
• Intelligent regression suite prioritization based on code changes
• Predictive defect detection and risk-based testing
• Flaky test detection and automated stabilization insights

Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.

Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.

Automation Excellence

Design, build, and scale robust automation frameworks using:

• XCUITest, Espresso, Appium (mobile automation)
• Playwright (web and mobile web validation)
• REST Assured or similar tools for API and service validation

Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams. Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:

• Pre-merge quality gates
• Parallelized execution
• Environment-aware test runs
• Post-deployment smoke and regression coverage

Build developer-friendly tooling that enables:

• Self-service test execution
• Real-time reporting and dashboards
• Faster debugging and failure triage
• Scalable test data and environment management

Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.

Performance, Scalability & Reliability

Design and execute performance validation across:

• Mobile app startup time and responsiveness
• API latency, throughput, and reliability
• Backend load and stress conditions
• Web performance for critical flows

Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics. Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.

Ensure reliability validation is embedded directly into release workflows.

Cross-Functional Collaboration and Leadership

Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria. Actively participate in sprint grooming, planning, stand-ups, and retrospectives.

Influence best practices around mobile-first design, API contracts, and release readiness. Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.

Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation. Work effectively with globally distributed teams to coordinate testing across time zones.

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Responsibilities:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

Requirements:

• Passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Comfortable working towards a multi-year vision with incremental deliverables
• Customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

At Databricks, we strive to provide a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Some example projects include:

• Developing the de facto open source standard framework for big data, Apache Spark.
• Providing reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store.
• Building the next generation query optimizer and execution engine that's fast, tuning-free, scalable, and robust.

We look for candidates with a strong foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems, and a BS (or higher) in Computer Science or a related technical field.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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This person will own the product marketing vision and execution for the foundational surfaces of Dropbox: content organisation, sharing, previews, and device access. You'll work closely with senior leaders in Product, Design, Growth, and Marketing to shape strategy and drive measurable business impact.

Responsibilities:

• Lead Strategic Positioning and Messaging: Own and evolve the narrative for Dropbox's Core experiences. Create clear, differentiated positioning grounded in user insights and product value.

• Build and Manage a High-Performing Team: Recruit, lead, and coach a team of PMMs. Set priorities, provide clarity, and build a high-trust, high-impact team culture.

• Own Product Marketing Strategy for Core Experiences: Define and drive go-to-market strategy for Dropbox Core. Align efforts across product, growth, brand, and lifecycle marketing teams.

• Champion the Voice of the Customer: Lead the team in developing deep customer and market understanding. Ensure insights are actionable and influence product, messaging, and activation strategies.

• Drive Product-Led Growth Initiatives: Partner with Product and Growth to identify friction in key workflows, define activation strategies, and test and optimise PLG motions.

• Operate as a Cross-Functional Leader: Build strong partnerships across executive stakeholders in Product, Design, Marketing, and GTM. Bring strategic clarity and strong execution across initiatives.

Requirements:

• 10+ years in product marketing or a related field, including 3+ years in a formal people management role

• Experience leading GTM strategy for large-scale, cross-platform products

• Proven success in owning and scaling product-led growth strategies

• Strong leadership presence with the ability to influence senior stakeholders across product and business functions

• Ability to coach high-performing PMMs and grow talent

• Excellent communication and storytelling skills for both internal and external audiences

• Comfort working across data, research, and customer feedback to drive decisions

Preferred Qualifications:

• Experience leading PMM functions in fast-paced, matrixed environments

• Familiarity with productivity, collaboration, or content storage software

• Demonstrated ability to operate across both PLG and SLG motions

• Experience influencing product strategy at the executive level

Compensation:

US Zone 1: $301,800-$408,200 USD

US Zone 2: $271,600-$367,400 USD

US Zone 3: $241,400-$326,600 USD

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About the Role

At Pave, we're building the industry's leading compensation platform. As an AI Engineer on the Paige team, you'll shape the technical vision and execution of our autonomous AI compensation analyst. You'll work with a team of engineers and data scientists to build the product end-to-end and take it to market.

Key Responsibilities

• Develop and maintain production systems using LLMs, agentic architectures, and retrieval systems
• Collaborate with cross-functional teams to design and implement features end-to-end
• Apply pragmatic engineering judgment to balance speed and quality
• Communicate clearly and effectively with both technical and non-technical stakeholders

What We Offer

• Competitive salary and equity package
• Best-in-class medical, dental, and vision coverage
• Unlimited PTO and flexible work arrangements
• Quarterly education stipend and opportunities for professional growth

Culture

At Pave, we value intellectual honesty, a willingness to play to win, and a commitment to upholding the highest standards. We're a hybrid culture that brings teams together in person on Monday, Tuesday, Thursday, and Friday, with a weekly Team Sync on Fridays.

How to Apply

If you're ready to help shape the future of compensation alongside a talented team, we'd love to meet you. Please submit your application, including your resume and a cover letter, to [insert contact information].

Note

This job description is subject to change based on business needs and requirements. Pave is an equal opportunity employer and welcomes applications from diverse candidates.

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As a Machine Learning / AI Engineer, you will design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. You will also build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.

You will collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you will shape both foundational systems and user-facing capabilities.

Key responsibilities include:

• Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
• Work with product engineers to define and deliver impactful AI features across Figma's platform.
• Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment.
• Explore new ideas at the edge of what's technically possible and help shape the long-term AI vision at Figma.

Requirements include:

• 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI.
• Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring.
• Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
• Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
• Experience mentoring or leading others and contributing to a culture of technical excellence and innovation.

Preferred qualifications include:

• Familiarity with search relevance, ranking, NLP, or RAG systems.
• Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
• Experience working on creative or design-focused ML applications.
• Knowledge of additional languages such as C++ or Go is a plus, but not required.
• A product mindset with the ability to tie technical work to user outcomes and business impact.
• Strong collaboration and communication skills, especially when working across functions (engineering, product, research).

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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This includes managing M&A processes, analysing industry trends, assessing competitive landscapes, identifying investment opportunities, and supporting marquee fundraising initiatives. This person will work cross-functionally with a variety of stakeholders at all levels of CoreWeave and have frequent opportunities to interact with and support key executive-level decision makers.

Optimally, this person will have previous experience with generative AI, technology, digital infrastructure, cloud infrastructure, data centres or similar verticals.

Key Responsibilities:

• Identify and evaluate M&A and direct investment opportunities based on industry knowledge, market situation, and financial analysis

• Develop, maintain, and analyse complex financial models to support M&A transactions, strategic investments, and other strategic initiatives

• Assist in all phases of transaction execution, including due diligence, valuation, documentation, and integration planning

• Collaborate with internal stakeholders, including finance, legal, operations, and senior executives to ensure alignment and successful execution of deals

• Support Strategic Finance, Investor Relations, Treasury, and FP&A on cross-functional Ad Hoc finance projects

• Assist in the preparation of company management presentations that deliver CoreWeave's investment thesis and growth strategy to external stakeholders

• Conduct comprehensive due diligence on M&A and investment targets, including financial, and operational analysis

• Monitor industry trends, competitive landscape, and market dynamics to identify opportunities and threats

• Collaborate with CDO, CSO and CFO to assist with highly impactful, complex, and visible projects, including scaled, complex equity and debt fundraising initiatives

• Complete special strategic projects and ad hoc modelling for senior executives as needed, such as projects regarding international expansion and JV partnerships

Who You Are:

• A bachelor's degree in finance, accounting, applied mathematics, economics, engineering, or an equivalent combination of education and experience

• Minimum of 2+ year(s) of experience in investment banking, private equity, private credit or similar roles

• Advanced analytical skills with an ability to perform quantitative and qualitative analysis on new ideas and concepts

Preferred:

• Excellent financial modelling and valuation skills, with a demonstrated track record of executing complicated financial analyses

• Effective verbal and written communication skills, with a preference for candidates that have demonstrably interacted with management or other executive-level stakeholders

• High level of self-sufficiency with proven success at self-teaching and a high intellectual motor

• Strong analytical, quantitative, and problem-solving skills

• Exceptional attention to detail, organisational skills, and ability to manage multiple competing priorities simultaneously

• Advanced proficiency with Microsoft Office Suite, particularly Excel and PowerPoint

• Understanding of M&A processes for both public and private transactions, including deal sourcing/structuring, due diligence, and execution, with a proven track record of contributing to closed deals

• Experience with modelling debt transactions (e.g., leveraged buyout models and private/public credit) preferred

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

• You love digging into complex financial problems and solving them with precision.

• You're curious about how AI, cloud, and digital infrastructure are reshaping the global economy.

• You're an expert in financial modelling, valuation, and supporting high-impact transactions.

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $125,000 to $155,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits programme (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Programme (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data centre locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, colour, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic

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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.

The Cloudflare Associate Solution Engineering Program is a 12-month rotational experience designed to launch your career in pre-sales engineering. You'll combine technical depth, customer problem-solving, and business acumen to make Cloudflare's technology accessible and valuable for customers across Asia-Pacific.

Responsibilities

• Shadow customer calls and technical deep-dives with Enterprise and Strategic accounts
• Build and deliver product demonstrations tailored to customer use cases (web security, performance, serverless computing)
• Participate in workshops on Cloudflare technologies: Workers, Zero Trust, DNS, DDoS mitigation, WAF
• Collaborate with Sales, Product, and Engineering teams to solve customer technical questions
• Document customer requirements and translate them into solution architectures
• Rotate between GCR, ANZ, and ASEAN customer teams every 4 months
• Contribute to internal tooling, demo environments, or solution accelerators

Requirements

• Have graduated within the past 2 years (or have equivalent demonstrated technical experience through boot camps, self-study, or professional work)
• Can explain core networking concepts (e.g., how DNS resolution works, what happens when you visit a URL, difference between TCP/UDP)
• Are available to start in July 2026 and commit to 12 months including regional rotations
• Communicate fluently in English (written and verbal)
• Can manage multiple concurrent projects with competing deadlines
• Are authorized to work without sponsorship

Nice to Have

• Internship or project experience in a customer-facing, consulting, or technical sales environment
• Proficiency in Mandarin, Cantonese, or Bahasa Indonesia (for serving regional customers)
• Scripting skills in Python, JavaScript, Bash, or similar
• Hands-on experience with web technologies: HTML/CSS/JS, HTTP APIs, or cloud platforms (AWS/GCP/Azure)
• Demonstrated ownership of technical projects (GitHub portfolio, conference talks, open-source contributions)

Technologies you'll work with:

• Cloudflare's edge network
• Workers (serverless)
• Zero Trust security
• DNS/CDN
• DDoS mitigation
• WAF
• API Gateway
• R2 storage
• Stream
• Images

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You will own and influence systems spanning Salesforce CRM, CPQ, Billing, Partner Portal, and their integrations into the broader Commerce ecosystem, driving improvements in platform architecture, system simplification, and data consistency across complex, distributed workflows.

You will be responsible for driving technical strategy across a highly customized, revenue-critical platform, including planning and executing modernization efforts, measuring system reliability and data integrity, and evaluating tradeoffs between short-term business needs and long-term platform health.

You will operate at the intersection of engineering, Sales, and Finance, with high visibility and ownership over decisions that directly impact revenue, customer experience, and the scalability of Dropbox’s monetization systems.

Responsibilities:

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.

• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.

• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.

• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.

• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.

• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.

• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

Requirements:

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.

• 12+ years of professional software development experience.

• Proven expertise in building and maintaining large-scale, distributed backend systems.

• Strong system design skills, particularly in complex, stateful, or workflow-driven systems

• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability

• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems

• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications:

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)

• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures

• Experience working on revenue-critical or monetization platforms at scale

• Experience improving data consistency and integrity across distributed systems

• Demonstrated ability to influence technical direction across teams without direct authority

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As of February 2025, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.
• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

About the Security Team

The mission of the Security Engineering team at dbt Labs is to provide clear, opinionated security guidance and scalable, secure-by-default offerings to engineers for the purpose of securing software development and enabling pragmatic risk decisions at dbt.

Responsibilities

As a Senior Security Operations Engineer on the Detection & Response team, you will strengthen and maintain the company's security posture throughout the threat detection lifecycle from telemetry collection and continuous monitoring through threat detection, incident response, and security event management. You will serve as a subject matter expert for security operations across the dbt Labs' teams and technology infrastructure, including multi-cloud production environments, identity, endpoints, and SaaS technologies.

Key Responsibilities

• Participate in a 24/7 on-call rotation providing coverage for active security incidents, investigations, and security events across our global infrastructure.
• Lead investigation and remediation of security incidents, coordinating cross-functional response efforts to minimize impact and recovery time.
• Play a major role in bootstrapping an end to end D&R alert and investigation pipeline.
• Triage and investigate security alerts from detection tools including Wiz Defend, Crowdstrike, and cloud security platforms to identify genuine threats and reduce false positives.
• Develop and maintain detection rules, runbooks, and response procedures mapped to the company's threat model.
• Automate alert triage workflows and improve mean time to detection and response through tooling and process enhancements, including leveraging AI enrichment and processing.
• Collaborate with Infrastructure and Application Security teams to implement secure-by-design principles and remediate identified security issues.
• Conduct security event analysis to identify policy violations, misconfigurations, and potential attack vectors before they become incidents.
• Partner with our Enterprise Security & Technology team to enhance endpoint security controls and monitoring across endpoints (MacOS laptops & some Windows and Linux-based development environments).
• Design and facilitate tabletop exercises and game days to test detection, response, recovery, and remediation capabilities.
• Contribute to the maturation of the security incident response program through documentation, training, and process improvements.
• Mentor junior security engineers and cross-functional team members on incident handling best practices.

Requirements

• Demonstrated ability to excel in high-pressure situations; we need someone who can make sound decisions during active security incidents and can calmly serve as incident commander with confidence.

Qualifications

• Have 8+ years of professional experience in security-related domains, including at least 4 years in security operations, incident response, threat hunting, or threat detection roles.
• Have demonstrable experience leading security incident investigations and coordinating cross-team response efforts.

What We Offer

• Competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.
• Opportunity to work with a leading analytics engineering platform and contribute to the growth and success of the company.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Opportunities for professional growth and development.

How to Apply

If you are a motivated and experienced security professional looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

Represent CoreWeave at conferences and industry events, with occasional travel as required.

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python.

You'll work end-to-end , from discovery and scoping through prototyping, launch, and iteration , using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities.
• Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI , and who can work as a peer with non-technical business partners, not just as an order-taker.

Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems , backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment.
• Agentic AI literacy. You understand how modern agentic systems are constructed , the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure , including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations , understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon.

Preferred Qualifications:

• Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
• Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling.
• Familiarity with MCP server design , including building, deploying, and securing MCP-compliant tool servers.
• Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
• Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
• Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
• Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-KBF

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This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.

Responsibilities

• Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
• Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
• Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.
• Partner with marketing leadership and the central Marketing Ops & Strategy team on annual and quarterly planning, resource allocation, and performance reviews.
• Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops & Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.
• Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
• Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
• Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.
• Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.

Requirements

• 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.
• Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.
• Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.
• Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).
• Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.
• Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.
• Strong written and verbal communication, capable of translating complex datasets into clear business narratives.
• Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

We're looking for an experienced Engineering Manager II to lead our Cache Infra team in building and operating large-scale distributed systems.

This role provides a unique opportunity to gain hands-on experience in building and operating large-scale distributed systems.

The team works on challenging, exciting, and impactful projects, including new cache stack, compute modernization initiatives, and innovations related to AI.

Responsibilities:

• Lead a high-performing team to build reliable, performant and efficient caching systems that operate at a huge scale and empower numerous business critical applications across the entire company.

• Lead a cross-functional strategic initiative to modernize the cache infra tech stack by adopting cutting-edge technologies.

• Maintain a high engineering standard for cache infrastructure, focusing on continuous improvement in reliability, scalability, performance, cost efficiency, and developer velocity.

• Drive the strategic migration of memcached from the current legacy deployment system to Kubernetes.

• Drive the team vision and strategy for the next 3 years and beyond.

• Help create a diverse and inclusive team culture that makes all feel welcome while encouraging critical thinking and candid feedback.

Requirements:

• 1+ years of Experience leading or managing engineering teams, including setting direction, driving execution, and supporting team members' growth.

• 5+ years of relevant industry experience

• Strong technical background in distributed systems and storage/caching systems.

• Hands on experience building and operating highly available, reliable, production grade systems at scale.

• Experience coding in one of the following languages: Java, Python and/or C/C++.

• Experience recruiting and managing technical teams, including performance management.

• Demonstrated experience leveraging AI to accelerate development, enhance operations, and improve customer support.

• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.

• Bachelor's degree in Computer Science, a related technical field, or equivalent experience.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments.

What this looks like day-to-day can vary based on the needs of each organization or role.

This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID #LI-CL5

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You'll develop CoreWeave's storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and most innovative AI workloads in the world.

This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems, especially focusing on low level storage details that improve performance and durability.

Who You Are:

• Bachelor’s, Master’s, or PHD degree in Computer Science, Engineering, or a related field.
• 8–10+ years of experience working in storage systems engineering.
• Strong hands-on experience with object storage, block storage or distributed filesystems in production environments.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.
• Familiarity with the trade offs between HDD and SSD based storage systems.

The base salary range for this role is $206,000 to $303,000.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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The Ads Foundations organization is responsible for the technical backbone powering Ads Monetization at scale. Within this ecosystem, efficient resource utilization is critical.

We are seeking a Senior Staff Engineer to serve as the Cloud Resources Technical Owner for the Ads Domain. You will be the primary engineering point of contact for the Senior Director in Ads and Cloud Operations/Resources (COR & Opex) stakeholders.

Responsibilities

Technical Vision & Strategy

• Define and drive the technical strategy for Cloud Resource management within Ad first, ensuring that cost accountability is built into the architecture of our systems.
• High-Fidelity Investment Modeling: Elevate cloud estimation from guesswork to a rigorous engineering discipline. You will lead the high-quality forecasting of new cloud investments and efficiency projects, designing data-driven models to validate technical ROI before builds happen
• Design and implement a roadmap for Cost Observability 2.0, moving beyond simple reporting to real-time, service/team-level spend attribution and automated anomaly detection.

Engineering & Tooling Leadership

• Design and build internal platforms that programmatically enforce PnL accountability. You will engineer (or collaborate with Core Infrastructure partners) to deliver the dashboards, alerts, and governance tools that every Ads team relies on to manage their cloud footprint.
• Architect automated frameworks for validating cost estimates and forecasting, replacing manual spreadsheets with data-driven software solutions.

Scale & Optimization

• Fight for observability by instrumenting deep telemetry into our cloud infrastructure. You will be hands-on in identifying inefficiencies (e.g., underutilized clusters, uncompressed data flows) and re-architecting critical paths for cost reduction.
• Lead the technical validation of vendor and 3rd-party tool integration, ensuring we extract maximum engineering value from every dollar spent.

Cultural & Technical Stewardship

• Act as a role model for the Ads domain and the wider company. You will set the standard for how engineering teams think about Cost as a Non Functional Requirement, eventually scaling these patterns to other domains.
• Partner with Finance and Engineering leadership to translate Cloud Spend into actionable engineering tasks (e.g., refactor Service X to use Spot instances).

Requirements

• 10+ years of software engineering experience, with a strong focus on public cloud infrastructure (AWS/GCP/Azure) and large-scale distributed systems.
• Engineer-First Mindset: You are comfortable writing code (Go, Python, Java) to solve infrastructure problems. You don't just ask for a report; you build the API that generates it.
• Deep Cloud Expertise: You have mastery over Kubernetes, container orchestration, and cloud-native storage, understanding exactly how architectural choices impact the bottom line.
• Operational Excellence: Proven track record of building observability pipelines (Prometheus, Grafana, Datadog) that drive operational and financial alerts.
• Influential Leader: Skilled at driving clarity in ambiguous spaces. You can convince a Principal Engineer to refactor their service for cost efficiency because you can prove the technical and business value.

Bonus Points

• Experience building custom FinOps tooling or internal developer platforms.
• Background in performance engineering or capacity planning for high-traffic ad tech environments.
• Contributions to open-source projects related to cloud efficiency or observability.

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The impact you'll have is significant, spanning many domains across our essential service platforms. You might work on challenges such as:

• Distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

• Delivering reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

• Building reliable, scalable services, e.g., Scala, Kubernetes, and data pipelines, e.g., Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for in a candidate includes:

• A Bachelor's degree (or higher) in Computer Science, or a related field.

• 7+ years of production-level experience in one of: Java, Scala, C++, or similar languages.

• Experience developing large-scale distributed systems.

• Experience working on a SaaS platform or with Service-Oriented Architectures.

• Good knowledge of SQL.

Benefits at Databricks include comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please click here.

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As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We're building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Responsibilities:

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth
• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services
• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise
• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling
• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You:

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure
• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale
• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems
• Have strong proficiency in at least one of Python, Rust, or Go
• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have:

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)
• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale
• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling
• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

The annual compensation range for this role is $405,000-$485,000 USD.

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As a software engineer on this team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you have significant software engineering experience, particularly building data-intensive applications or internal tooling. You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application development.

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We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads.

The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.

Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.

The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.

As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.

If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.

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You will also be an integral part of achieving industry-leading end-to-end performance benchmarking publications: If MLPerf (Training & Inference), Working closely with NVIDIA (Megatron-LM, TensorRT-LLM & DGX cloud) and the open-source community (llm-d, vLLM and all popular ML frameworks) speak to you, come help us demonstrate CoreWeave's performance reliability leadership in the field.

Responsibilities

• Strategy & Leadership - Define the multi-year benchmarking strategy and roadmap; prioritize models/workloads (LLMs, diffusion, vision, speech) and hardware tiers. Build, lead, and mentor a high-performing team of performance engineers and data analysts. Establish governance for claims: documented methodologies, versioning, reproducibility, and audit trails.

• Perf Ownership - Lead end-to-end MLPerf Inference and Training submissions: workload selection, cluster planning, runbooks, audits, and result publication. Coordinate optimization tracks with NVIDIA (CUDA, cuDNN, TensorRT/TensorRT-LLM, Triton, NCCL) to hit competitive results; drive upstream fixes where needed.

• Internal Latency & Throughput Benchmarks - Design a Kubernetes-native, repeatable benchmarking service that exercises CoreWeave stacks across SUNK (Slurm on Kubernetes), Kueue, and Kubeflow pipelines. Measure and report p50/p95/p99 latency, jitter, tokens/s, time-to-first-token, cold-start/warm-start, and cost-per-token/request across models, precisions (BF16/FP8/FP4), batch sizes, and GPU types. Maintain a corpus of representative scenarios (streaming, batch, multi-tenant) and data sets; automate comparisons across software releases and hardware generations.

• Tooling & Automation - Build CI/CD pipelines and K8s controllers/operators to schedule benchmarks at scale; integrate with observability stacks (Prometheus, Grafana, OpenTelemetry) and results warehouses. Implement supply-chain integrity for benchmark artifacts (SBOMs, Cosign signatures).

• Cross-functional & Community - Partner with NVIDIA, key ISVs, and OSS projects (vLLM, Triton, KServe, PyTorch/DeepSpeed, ONNX Runtime) to co-develop optimizations and upstream improvements. Support Sales/SEs with authoritative numbers for RFPs and competitive evaluations; brief analysts and press with rigorous, defensible data.

Requirements

• 10+ years building distributed systems or HPC/cloud services, with deep expertise on large-scale ML training or similar high-performance workloads.

• Proven track record of architecting or building planet-scale data systems (e.g., telemetry platforms, observability stacks, cloud data warehouses, large-scale OLAP engines).

• Deep understanding of GPU performance (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth), model-server stacks (Triton, vLLM, TensorRT-LLM, TorchServe), and distributed training frameworks (PyTorch FSDP/DeepSpeed/Megatron-LM).

• Proficient with Kubernetes and ML control planes; familiarity with SUNK, Kueue, and Kubeflow in production environments.

• Excellent communicator able to interface with executives, customers, auditors, and OSS communities.

Nice to have

• Experience with time-series databases, log-structured merge trees (LSM), or custom storage engine development.

• Experience running MLPerf submissions (Inference and/or Training) or equivalent audited benchmarks at scale.

• Contributions to MLPerf, Triton, vLLM, PyTorch, KServe, or similar OSS projects.

• Experience benchmarking multi-region fleets and large clusters (thousands of GPUs).

• Publications/talks on ML performance, latency engineering, or large-scale benchmarking methodology.

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Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimisation. They should be comfortable working towards a multi-year vision with incremental deliverables and be customer-oriented with a focus on having an impact. A minimum of 5 years of experience working in a related system is required, with a PhD in databases or distributed systems being optional.

In return, we offer a comprehensive benefits package and a commitment to diversity and inclusion. If you're excited about the opportunity to join our team and contribute to the development of next-generation database systems, please apply.

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This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.

• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.

• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.

• Participate in efforts to improve the reliability, durability, and observability of our storage stack.

• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.

• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.

• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 10+ years of experience working in storage systems engineering or infrastructure.

• Strong hands-on experience with object storage or distributed filesystems in production environments.

• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.

• Proficiency in a systems programming language such as Go, C++, or Rust.

• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).

• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.

• Strong debugging and problem-solving skills in distributed, high-performance environments.

• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

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

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.

A typical day involves envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Your expertise should include a PhD/Master’s degree, preferably in CS, or equivalent experience, and 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.

Experience with LLM driven chatbot and Agentic AI products would be a big plus.

Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations are also required.

Fluency in both English and Mandarin is essential.

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We're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Job Summary

We’re seeking a talented Manager II, Engineering to take on a leadership role within the Programmatic Offsite Ads team. You will lead critical efforts to define, build, and evolve the ad features which power Pinterest’s ads business through off-platform supply partnerships.

Responsibilities

In this pivotal role, you will take on the challenge of defining and executing the offsite ads strategy for programmatic ads at Pinterest.

Own the end-to-end strategy and roadmap for driving programmatic off-platform ads delivery, driving high-quality outcomes which meet advertiser expectations.

Partner closely with Product, Design, Research, Sales, Policy, and the broader Monetization org to define new product features, and advertising experiences that balance user delight, advertiser outcomes, and platform integrity.

Lead experimentation and optimization of advertising campaigns, using A/B testing and rigorous measurement (e.g., viewability, engagement, conversion, advertiser performance, user sentiment) to drive continuous improvement.

Work with external supply partners to ensure our off-platform ads are well-supported in the programmatic ecosystem, and that Pinterest’s creatives adhere to performance standards.

Collaborate with serving, infra, and ML teams to ensure that programmatic ads are backed by robust infrastructure, measurement, and policies.

Lead mission-critical initiatives involving 8-10 engineers across backend and frontend stacks, and directly influence their day-to-day work through mentorship, coaching, and clear technical direction.

Build and maintain a culture of inclusivity, craft, and operational excellence within the Programmatic Offsite Ads team.

Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.

Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality.

Requirements

BS (or higher) degree in Computer Science, or a related field.

2-3+ years of relevant engineering management experience.

3-4+ years of relevant industry experience within the ads domain.

Experience designing or delivering high scale, real time distributed systems.

Working knowledge of programmatic advertising and OpenRTB (DSPs/SSPs, auctions, targeting, measurement), and experience partnering with external platforms.

Proven track record partnering with Product and Design to define new product features, run experiments, and use data to iterate on performance outcomes.

Rich experience working cross-functionally to drive alignment, oversee execution, and secure deliverables across Product, Design, ML, Infra, Sales, and external partners.

Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.

Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.

High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Experience mentoring, guiding, and upleveling engineers, including senior ICs.

Strong communication skills and the ability to articulate product strategy and tradeoffs to both technical and non-technical stakeholders.

Strong commitment to building inclusive teams and fostering a sense of belonging.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration [1 time per week] and therefore needs to be in a commutable distance from one of the following offices: San Francisco.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID #LI-KBF

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The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

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

Local Pay Range $166,000-$225,000 USD

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Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, intuitive, and high-quality software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

As a Senior Software Developer, you will:

• Work with a globally distributed team of experienced engineers focused on data storage mechanisms and query capabilities of Elasticsearch.
• Be an expert in the storage engine area, and everyone will turn to you when they have a question about it. You'll improve those areas based on your questions and your instincts.
• Be a full-time Elasticsearch contributor, building data-intensive new features, fixing intriguing bugs, and increasing the testing coverage, all while making the code easier to understand.
• Design and implement advanced algorithms and data structures, often working at the system and hardware level. You’ll also engage with our global community for triaging and resolving issues and pull requests.

We're looking for someone with strong core Java skills and an excellent understanding of concurrent and parallel programming principles. You should have an excellent background in applied data processing (data structures, algorithms) and be familiar with storage systems and low-level abstractions in OS. You should also be able to work with a high level of autonomy and be able to take on projects and guide them from beginning to end.

This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD. This role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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Key responsibilities include:

• Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads
• Contributing to the development of exabyte-scale, S3-compatible object storage
• Integrating dedicated storage clusters into diverse customer environments
• Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency
• Leading efforts to improve the reliability, durability, security, and observability of the storage stack
• Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments
• Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health
• Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience
• Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack
• Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems

Requirements include:

• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field
• 8-10+ years of experience working in storage systems engineering or infrastructure
• Strong hands-on experience with object storage or distributed filesystems in production environments
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar
• Proficiency in a systems programming language such as Go, C, or Rust
• Proficiency leveraging AI tools to augment software development
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures

The base salary range for this role is $188,000 to $275,000.

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We are seeking senior software engineers with specialization in database and stream processing who can help us fulfill the goal of our global datastore strategy and establish communication models for our data flow. This individual will work with a team of mixed skilled engineers and have the opportunity to work on the full range of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment.

As a member of the Data Platform Team you will have the opportunity to:

• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs
• Participate in operations and scaling of relational data platforms
• Develop a stream processing architecture and solve for scalability and reliability
• Improve the performance, security, reliability, and scalability of our data platforms and related services, and participate in the team’s on-call rotation
• Establish guidelines and guard rails for data access and storage for stakeholder teams
• Ensure compliance with standards for data protection regulation
• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself

The ideal candidate will have 5+ years of experience in a software or infrastructure engineering industry, with experience operating services in production and at scale and familiarity with reliability engineering concepts such as different types of testing, progressive deployments, error budgets, observability, and fault-tolerant design.

The base salary range for this role is $175,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

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Responsibilities:

• Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review.
• Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required.
• Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You may be a good fit if you have:

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• 4-10+ years of experience in a software engineering position
• Proficiency in Python
• Ability to work across the stack
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also:

• Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems
• Have experience building metrics and measurement systems or data and privacy management systems
• Have worked closely with operational teams to build custom internal tooling
• Be proficient in TypeScript or Rust
• Have experience with Claude Code or similar agentic coding tools

The annual compensation range for this role is £255,000-£325,000 GBP.

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Responsibilities:

• Respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• Triage and respond to security events and alerts, ensuring quick and effective containment.
• Contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• Build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work, and scale the impact of the team.
• Communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews, and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP, or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents, and agent skills.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR, Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

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You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a kind.

In this role, you will:

• Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave.
• Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA).
• Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues.
• Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes.
• Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices.
• Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions.
• Contribute to refining processes, workflows, and playbooks for handling complex customer challenges.
• Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches.
• Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides.
• Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives.

Who You Are:

• Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position
• At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles
• Proven hands-on work experience with Kubernetes
• Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration
• Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback
• Experience with observability tools such as Grafana
• Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes
• Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes
• Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences
• Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions

Preferred:

• CKA Certified
• Demonstrated experience with training, coaching, and creating onboarding materials.
• Operates in a fast-paced, global, 24/7 support team environment
• Ability to collaborate across different time zones
• On-site office environment, hybrid, or remote options depending on location
• Flexible to travel up to 10% (~25 days/year)

Why CoreWeave?

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

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

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

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Key responsibilities include:

• Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.
• Manage the development and rollout of storage services that host millions of customer databases across dozens of regions
• Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.
• Lead operational excellence in 24/7 operation of our system

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with building and shipping storage systems where correctness and performance are essential
• BS (or higher) in Computer Science, or a related field
• 2+ years of experience building and leading a team of engineers working in a related system
• Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards
• Comfort working on cross-functional projects with the ability to deeply understand product and customer personas

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This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

Key Responsibilities:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure

Requirements:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights

Ideal Background:

• 8+ years of experience in software engineering roles
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organisations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field

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The ideal candidate will have 8+ years of hands-on experience in Security Technical Program Management, Security Strategy, Security Risk Management and/or Security Compliance roles, ideally within the cloud services industry. They will have a Bachelor's degree in Information Security, Computer Science, or a related field or equivalent job experience.

Responsibilities:

• Lead end-to-end program management for critical security engineering and security compliance initiatives, including cross-functional planning, execution, delivery, and retrospectives
• Define program scope, milestones, and success metrics while managing security risks and dependencies
• Partner closely within the security team, and across engineering, product management and operations teams to ensure alignment on priorities and deliverables
• Act as the primary point of contact for security and cross-functional stakeholders, providing regular status updates, addressing risks, and ensuring accountability
• Facilitate and influence technical security, privacy and compliance discussions and decisions to align with long-term infrastructure goals and business objectives
• Develop and implement scalable processes to improve efficiency and predictability in program delivery
• Strategically automate and improve day-to-day operations, processes and reporting
• Tailor communications to a diverse audience and remain adaptable to a wide range of personalities and technical depth

What We Offer:

• Competitive salary range of $122,000 to $237,000
• Discretionary bonus, equity awards, and a comprehensive benefits program
• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace:

• While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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Responsibilities:

• Design and develop reliable and high-performance services and client libraries for storing and accessing large amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store.
• Build scalable services using Scala, Kubernetes, and data pipelines, such as Apache Spark and Databricks.
• Work on a SaaS platform or with Service-Oriented Architectures.
• Collaborate with our DDS team to develop and deploy data-centric solutions using Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines.
• Develop and maintain high-quality code, following best practices and coding standards.
• Participate in code reviews and provide feedback to improve the quality of the codebase.
• Troubleshoot and resolve issues that arise during deployment and operation.

Requirements:

• Bachelor's degree in Computer Science or a related field.
• 7+ years of production-level experience in one of the following languages: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Strong understanding of software design patterns and principles.
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a team environment.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines.
• Knowledge of cloud-based storage systems, such as AWS S3 and Azure Blob Store.
• Familiarity with containerization using Docker and Kubernetes.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines.
• Strong understanding of security principles and practices.
• Familiarity with agile development methodologies and version control systems, such as Git.

Benefits:

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

Our Commitment to Diversity and Inclusion:

Databricks is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment where everyone feels valued and empowered to contribute their best work.

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You'll elevate your impact through leadership in complex deal cycles and by mentoring others on the team. You'll focus on managing and growing a defined book of business. You'll also source new opportunities and guide customers through their DevSecOps and AI adoption journeys.

You'll build pipeline that turns into measurable new annual recurring revenue (ARR) and long-term expansion. In this role, you'll act as a strategic connector between customer stakeholders and GitLab's field organisation.

You'll help ensure GitLab is seen as a trusted, long-term partner across the full sales cycle. You'll also share best practices, deal strategy, and customer insights to help raise overall team performance.

In your first year, you'll deepen executive-level relationships within key accounts. You'll build and execute a territory plan that supports a healthy book of business. You'll consistently deliver top-tier performance while contributing to the success and growth of your peers.

Responsibilities:

• Own and grow a book of mid-market commercial accounts in your territory, focusing on organisations that can benefit from GitLab's AI-powered DevSecOps platform and GitLab Duo.

• Drive the full sales cycle with commercial customers by generating and qualifying pipeline through outbound prospecting, leading discovery and value-based demos, aligning stakeholders, negotiating, and closing to create new ARR and multi-year commitments.

• Meet or exceed quota by building strong, long-term customer relationships, expanding executive sponsorship, and acting as the primary point of contact for all commercial opportunities and strategic initiatives in your territory.

• Articulate the value of GitLab and our AI-powered capabilities to mid-market prospects and customers, clearly connecting our platform to their business outcomes, productivity goals, security and compliance needs, and toolchain consolidation strategies.

• Manage your territory by documenting buying criteria and processes, defining next steps and owners, and keeping opportunity information accurate and up to date. Create clear quarterly forecasts through regular pipeline and deal reviews. Use data to prioritise and reduce risk in your business.

• Collaborate closely with partners, Sales Development, Customer Success, Renewals, and Solutions Architects to drive new business, ensure adoption of GitLab and GitLab Duo, and support expansion while minimising churn and contraction across your account base.

• Represent GitLab in customer meetings, executive briefings, and regional events by driving attendance and delivering compelling presentations, proposals, and reports that communicate value and outcomes. Contribute customer ideas to our public issue tracker and apply MEDPICC and Command of the Message on all opportunities.

• Mentor and coach fellow Commercial Account Executives by sharing advanced sales strategies, customer insights, competitive positioning, and lessons learned to help elevate team performance, refine our commercial sales motion, and contribute to team goal achievement.

• Regularly meet on-site with key customers to develop and strengthen executive-level relationships, shape long-term platform and AI strategy with decision makers, and ensure GitLab is viewed as a strategic, long-term partner at the highest levels of the organisation.

Requirements:

• Ability to drive complex B2B software sales cycles and build trusted relationships with commercial and mid-market customers, ideally in a Commercial Account Executive or similar sales role serving mid-market customers.

• Ability to quickly learn and sell a complex AI-powered SaaS or DevSecOps platform to commercial and mid-market accounts, including identifying, engaging, and breaking into new logos while expanding within existing customers.

• Excellence in operational rigor for deal management in Salesforce and Clari (or similar CRM and forecasting tools), with the ability to create reliable forecasts, manage a large, active pipeline, and run your territory using both insight and data.

• Proven success managing and closing larger, more complex commercial deals using multi-threading, MEDPICC, Command of the Message, and strong negotiation and executive coverage strategies.

• Self-starter who acts as a manager of one for territory account planning, quarterly and annual KPI execution, and driving new business acquisition and expansion through consultative, multi-stakeholder sales motions that align to customer outcomes.

• Demonstrated ability to mentor and coach peers, share knowledge and learnings across the team, and take on additional team-level responsibilities that elevate overall performance, support ramping team members, and contribute to collective goal achievement.

• Effective communication and interpersonal skills, with the ability to articulate GitLab’s value at all levels of the customer organisation, lead clear and compelling customer and executive conversations, and remain calm, solutions-focused, and resilient under pressure.

About the team: The Commercial Sales team is responsible for driving growth and long-term value for GitLab customers in the Commercial segment. As a Commercial Account Executive, you’ll be part of a distributed, all-remote team that works asynchronously across regions. You’ll partner closely with GitLab’s sales engineering, marketing, Sales Development, Customer Success, Renewals, and partner teams.

We value transparency, strong teamwork, and continuous learning. We support one another with open communication, regular feedback, and by sharing what’s working and what isn’t. As a team, we focus on continuously improving how we work together and on helping each other grow.

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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In this role, you will lead the design, development, and integration of Omen's advanced electric propulsion system. You will own the electric powertrain architecture from concept through production, optimizing for the unique demands of a tail-sitter platform including VTOL operations, efficient cruise flight, and charging.

As the electric propulsion Lead, you will work closely with program leadership and cross-functional teammates to deliver a high-performance, reliable solution which seamlessly integrates with the rotor systems, powerplant, and cooling systems. You will own the propeller drive system as well as electric components of the on-board power generation, including battery, power management, and power conversion.

You will drive component selection, manage supplier relationships, lead testing and validation efforts, and ensure the electric propulsion systems meet performance and integration requirements. This is a hands-on high ownership role where you will tackle hard technical problems, be the expert, and play a critical role in bringing a groundbreaking aircraft platform to operational reality.

Join our dynamic team and help us build the next generation of autonomous flight systems.

Key Responsibilities:

• Own the design of electric propulsion systems including motors, battery, inverters, and high voltage power management
• Lead electric performance analysis, voltage and thermal modeling, and energy optimization studies to meet mission requirements for electrical loads.
• Lead the development and execution of test plans for electric propulsion subsystems and combined power generation, including ground test stands, HILs, and flight test, building up to system verification to ensure compliance with project goals and industry standards
• Define and validate technical performance measures including power, efficiency, thermal limits, and fault tolerance across all operating modes
• Engage suppliers and create detailed technical specifications and interface control documents for electric propulsion components and assemblies as required
• Collaborate with other teams for solutions on system packaging, structural/thermal interfaces, and thrust/power control architectures
• Manage development schedules and technical risks in coordination with program management

Requirements:

• High-ownership and a bias toward action – if you see a problem, you want to fix it
• Bachelor's degree in Aerospace Engineering, Mechanical Engineer, Robotics, Physics, or related technical discipline
• 12+ professional years or be recognized as a seasoned expert with significant influence in their field
• Experience in engineering leadership and project execution for aerospace, automotive, or defense sectors with focus on electric or hybrid propulsion
• In-depth knowledge of electric motors, generators, power electronics, battery systems, thermal management, and energy storage architectures
• Hands-on experience with propulsion system development, testing, and integration for aerospace platforms
• Strong project management skills, with experience using tools like JIRA and Confluence, and knowledge of Agile and Waterfall methodologies
• Exceptional communication and stakeholder management abilities, capable of engaging effectively with both technical teams and non-technical partners
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Travel to test sites and vendors as needed

Preferred Qualifications:

• Direct experience developing hybrid-electric or electric propulsion systems for aircraft, rotorcraft, eVTOL, or UAS platforms
• Proven track record leading propulsion systems through full qualification campaigns from early development through flight test and production
• Experience with propulsion system modeling and simulation tools
• Familiarity with aviation environmental and EMI standards (MIL-STD-810, MIL-STD-461, DO-160, or equivalent) and qualification campaigns for flight hardware
• Experience with Formula SAE, Baja SAE, Design Build Fly, or similar competitive engineering programs demonstrating hands-on vehicle integration experience

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The primary responsibilities of this role include designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments. Additionally, the successful candidate will work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.

Key responsibilities also include leading efforts to improve the reliability, durability, security, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, setting the bar for developing metrics and dashboards to provide visibility into storage performance and health, analyzing telemetry and system data to drive improvements in throughput, latency, and resilience, and working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.

A key aspect of this role is sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems.

To be successful in this role, the ideal candidate will have a strong background in storage systems engineering or infrastructure, with a minimum of 8-10 years of experience. They will also have hands-on experience with object storage or distributed filesystems in production environments, as well as proficiency in a systems programming language such as Go, C, or Rust. Additionally, they will have experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures, and familiarity with storage observability tools and telemetry pipelines.

If you're a motivated and experienced engineer looking to join a dynamic team and contribute to the development of cutting-edge storage solutions, we encourage you to apply for this exciting opportunity.

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