During your training, you can expect:

• To analyze and prepare data in the field of autonomous mobility

• To support the development and optimization of business processes

• To use modern tools for data processing, visualization, and evaluation

• To participate in the automation of processes using scripts and software solutions

• To collaborate with specialist departments to identify potential for improvement

• To document processes, data flows, and analysis results

As a trainee, you should bring:

• A good school leaving certificate

• Secure handling of German and English languages in writing and speech

• Developed analytical thinking and interest in data

• Technical understanding and affinity for IT systems

• Interest in autonomous driving

• Basic knowledge of mathematics, logic, and ideally first contact with programming (Python)

• Team and communication skills

• Careful, structured, and solution-oriented working style

This position is also suitable for people with disabilities.

We offer:

• With our customers, we shape the mobility of the future - be part of it!

• International, innovative collaboration is your thing? Good, ours too.

• Our onboarding will integrate you seamlessly, both professionally and personally.

• Lifelong learning is at the forefront - set your own impulses.

• Mobile work, flexible working hours, modern workplace - we make it possible.

• In our daily interactions, we live our values: respectful, communication, care, openness, passion, and trust

Interested?

Then let's get to know each other!

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The role involves preparing submissions, invites, handling rejections, coordinating with internal teams, such as Tech/Product/Projects/Legal, external collaborators/clients, and ensuring results are aligned with deadlines.

Key responsibilities include:

Preparing & submitting mobile apps to relevant application stores (IOS/Android). Writing relevant checklists & protocols around App submissions and configurations. Supervising submissions and following up on approvals or rejections. Maintaining a submission/release calendar to align timelines with projects. Regularly reporting on progress. Store accounts creation with clients. Driving the discovery phase of initiatives to ensure that mobile app requirements are fully considered, detailed and estimated. Taking initiative in coordinating activities related to our mobile app to guarantee they stay on track with agreed timelines. Connecting with collaborators to ensure all required assets and results are ready on time with the third party. Keeping up to date with app store guidelines and ensuring compliance in every submission. Supporting app configurations on third party tools.

Requirements include:

Previous experience with mobile apps and/or product operations background. Familiarity with Apple App Store Connect and Google Play Console. Strong organizational and interpersonal skills. Ability to coordinate across multiple teams and work with tight deadlines. Customer approach, know to express and share information accurately with external collaborators. Attention to detail and problem-solving mindset. Understanding of mobile app release processes. Strong written and verbal communication, include writing protocols and guides.

Nice to have:

Experience with configurations and tracking tools Experience in the iGaming industry App store optimization App-tech background

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Primary responsibilities include tracking audit tasks and deliverables, supporting directive rollouts and compliance, coordinating project deliverables and follow-up with internal and external resources, assisting with BCM and disaster recovery documentation, assisting with process improvement initiatives within the department and managing IT vendors from a budget and procurement perspective.

The IT Projects and Governance Intern will need to develop strong working relationships with IT and business colleagues.

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

Assignment duration: September, 2026- March, 2027

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As a specialist in data and process analysis for ADAS/AD, you will work with real sensor data from cameras, radar, and lidar to develop perception-based functions. You will learn to program and teach cars to see.

During your training, you can expect:

• To analyze and prepare data in the area of ADAS Perception

• To support the development and optimization of business processes

• To use modern tools for data processing, visualization, and evaluation

• To participate in the automation of processes using scripts and software solutions, as well as the implementation of AI (e.g., agents)

• To collaborate with specialist departments to identify potential for improvement

• To document processes, data flows, and analysis results

We offer:

• A dynamic and innovative work environment

• Opportunities for professional growth and development

• A competitive salary and benefits package

• A mobile and flexible working arrangement

• A chance to work on exciting projects and contribute to the development of new technologies

If you are interested in this opportunity, please submit your application with your resume and a cover letter. We look forward to hearing from you!

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Your tasks will include:

• Supporting the production and logistics planning team in their daily operations
• Participating in the planning and implementation of complex production projects
• Analyzing existing processes and developing optimization proposals
• Presenting your results to the team and contributing to the development of new ideas

You will work closely with our experienced team members to gain hands-on experience and develop your skills in production and logistics planning.

As a production and logistics planning intern at Porsche, you will have the opportunity to contribute to the success of our company and develop your skills in a dynamic and innovative environment.

Requirements:

• Currently enrolled in a degree program in Industrial Engineering, Mechanical Engineering, Automotive Engineering, Production Technology, Logistics, or a related field
• First-hand experience in a production environment, such as through an internship, apprenticeship, or part-time job
• Strong analytical and problem-solving skills
• Excellent communication and teamwork skills
• Proficiency in Microsoft Office, particularly Excel and PowerPoint
• Ability to work independently and as part of a team
• Strong organizational and time management skills
• Familiarity with production planning software and systems

Preferred qualifications:

• Experience in project management or process optimization
• Knowledge of lean manufacturing principles and techniques
• Familiarity with SAP or other production planning software
• Certification in production planning or logistics

What we offer:

• A dynamic and innovative work environment
• Opportunities for professional growth and development
• A competitive salary and benefits package
• A chance to work with a leading manufacturer of high-performance vehicles
• A supportive and collaborative team environment

If you are a motivated and skilled individual who is passionate about production and logistics planning, we encourage you to apply for this exciting opportunity.

Please note that we can only consider applications for this internship position. Additional applications will not be considered if an active application is already being processed.

To apply, please submit your application through our online portal, including your resume, cover letter, and any relevant certificates or references.

We look forward to receiving your application!

Application Details

• Application Period: March and September
• Duration: 6 months
• Location: Asperg, Germany
• Salary: Competitive salary and benefits package
• Benefits: We offer a comprehensive benefits package, including health insurance, pension plan, and paid time off.

Working at Porsche

At Porsche, we believe in creating a diverse and inclusive work environment where everyone has the opportunity to succeed. We are committed to equality and diversity, and we welcome applications from individuals of all backgrounds.

Our company culture is built on three core values: Heart, Sportiness, and Pioneering Spirit. We believe in living these values every day, and we strive to create a work environment that is inspiring, challenging, and rewarding.

If you are passionate about production and logistics planning and want to join a dynamic and innovative team, we encourage you to apply for this exciting opportunity.

Contact Us

If you have any questions or would like more information about this opportunity, please contact us at [insert contact email or phone number].

Equal Opportunities Employer

Porsche is an equal opportunities employer and welcomes applications from individuals of all backgrounds. We are committed to creating a diverse and inclusive work environment where everyone has the opportunity to succeed.

Data Protection

We take data protection seriously and ensure that all personal data is handled in accordance with applicable laws and regulations. For more information, please see our data protection policy.

Social Media

Follow us on social media to stay up-to-date with the latest news and updates from Porsche:

• Facebook: @porsche
• Twitter: @porsche
• Instagram: @porsche
• LinkedIn: @porsche

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Your key responsibilities will include:

• Strategic and operational responsibility for the entire value chain of the product
• Ensuring automotive-quality standards in production
• Continuous development of work processes according to automotive standards, focusing on lean production principles
• Initiating and accompanying processes on both structural and shop floor levels
• Applying principles of modern employee leadership to promote motivation and results

To succeed in this role, you will need:

• A degree in engineering or a comparable qualification
• Several years of experience in a leading position in production at an automotive Tier 1 supplier
• Experience in a medium-sized or conglomerate-owned, producing company in the automotive production environment, preferably in battery cell production
• Broad technological competence
• Proven experience in leading cross-functional teams and implementing lean manufacturing and Six Sigma methods
• Sound knowledge in quality management, production planning and control, and process optimization

If you have any questions, please contact Dominik Robinson, HR Business Partner, at dominik.robinson@v4smart.com.

V4Smart GmbH & Co. KG is an innovative provider of high-performance Li-Ion round cells for various applications, with around 400 employees and majority ownership by Porsche AG.

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We create spaces that are more than just beautiful – they are strategic components of the brand experience. Through our unique Porsche architectural language, curated visual merchandising, sound, scent, and digital touchpoints, we develop multisensory experiences that turn every visit into a genuine Porsche moment.

As part of our global Multisensory Programme, we accompany dealer projects from planning to emotional staging and work closely with markets and international partners.

Responsibilities:

• Participate in the control and accompaniment of multisensory implementations in international retail projects from concept development to final activation in trade
• Active involvement in the further development of digital equipment for Porsche retail formats and the conception and implementation of innovative digital touchpoints
• Analysis, structuring, and optimization of project-related processes as well as KPI monitoring to ensure efficient global rollout

• Support in the further development, maintenance, and operational management of the Porsche Retail Online Shop and retail equipment
• Participation in supply chain management for advertising materials and retail equipment from demand planning to logistics processes to delivery

• Management of worldwide retail organization

Benefits:

• Team events on a voluntary basis
• Flexible working hours and mobile learning after consultation in the team
• An active Prakti-Community
• International project work
• Insights into the automotive future

Requirements:

• Study place for Economics, Marketing, Design, Communication, Logistics, or a comparable course of study (at least in the 3rd semester or in the gap year between Bachelor and Master)
• Interest in brand experiences, customer experience, digital marketing, or online systems
• Analytical and structured thinking and acting as well as pleasure in questioning and optimizing processes
• Very good German and English skills in writing and speaking (at least B2)
• Secure handling of MS Office (especially PowerPoint, Excel)
• High team orientation, reliability, self-organization, and sense of responsibility
• Enthusiasm for brands, emotions, and customer experiences

Note: Please note that you can only apply for a trainee position. Further applications cannot be considered if an active application already exists. However, please mention in the cover letter if you are interested in other positions.

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Your tasks will include:

• Advisory on comprehensive quality management – starting with digitalization strategies, through innovative concepts for planning, securing, and guiding quality to the use of new technologies
• Responsibility for integrating quality management with adjacent areas – especially purchasing, production, maintenance, controlling, finance, sales, and logistics
• Analysis of customer requirements and development of concepts based on SAP S/4HANA and SAP Cloud components
• Development of customized quality management processes for our customers as a solution architect, both process- and IT-side
• Internal further development of MHP SAP AddOns in the QM portfolio extension of our services

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

• Completed studies and at least 2.5 years of professional experience in consulting or in-house consulting with a focus on SAP QM
• Passion for quality management processes and their modeling and optimization
• Expertise in applying and implementing, including customizing, the SAP solution component SAP QM, as well as in the S/4HANA environment. Experience in integrating with one or more of the following areas is desirable: EWM, DM, SD, MM, PM, PP, or FI/CO
• Your way of working is characterized by appearing as a trusted advisor both towards the customer and internally at MHP and is marked by strong analytical, conceptual, and problem-solving skills

Before departure:

• Start date: after agreement – always at the beginning of a month
• Working hours: full-time (40 hours); 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 recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with a global presence and a team of over 4,000 experts.

At MHP, you will find a dynamic and supportive work environment that encourages growth and development. We offer a range of benefits, including flexible working hours, a comprehensive training program, and opportunities for professional development. Join us and take the first step towards a successful career in consulting.

If you are interested in this opportunity, please submit your application through our job locator. We look forward to hearing from you!

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Key responsibilities include monitoring and steering KPIs (cycle time, backlog, on-time PO, data quality) and deriving actions, driving cost optimization initiatives (e.g. TCO, savings, efficiency improvements), managing operational issues (PO discrepancies, GR/IR mismatches, invoice blocks), and acting as a key interface for German-speaking stakeholders and driving supplier communication, confirmations, and escalations.

You will also oversee supplier performance, audits, and continuous development, lead and develop operational teams and Team Leads, and drive process improvements, automation, standardization, and ensure compliance with procurement policies and automotive standards.

In this role, you will have the opportunity to continuously grow with your projects and objectives in an innovative and supportive environment, making MHP the perfect sparring partner for your career, fueling your growth as an expert in your field while expanding your business network.

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You'll work at the intersection of business, technology, and partnerships, translating strategic goals into actionable integration roadmaps.

Your tasks will include:

• Designing and leading business transformation initiatives enabled by integration capabilities
• Developing business cases, defining transformation roadmaps, and facilitating client workshops to identify digital opportunities
• Contributing to conceptualize AI-driven business use cases, creating industry-specific value propositions, and identifying new revenue opportunities through API monetization and process optimization

You will also manage strategic relationships with one of our key partners, MuleSoft, develop joint go-to-market offerings, and identify co-innovation opportunities.

As a Technical Enablement expert, you will translate technical integration capabilities into clear business value for decision-makers. You will shape business narratives, develop customer-facing presentations, and prepare management-ready materials that connect technical solutions with measurable impact (efficiency, cost reduction, scalability).

In this role, you will have the opportunity to grow with your tasks in an innovative and supportive environment. This makes us the perfect sparring partner for your career. Both for professional input and professional networking.

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You will lead interdisciplinary project teams and work closely with our clients on-site to enable operational excellence. You will contribute to business development through high-quality project delivery and strong client relationships.

We are looking for a candidate with a college degree, ideally with a specialty in economics, pharmacy, natural sciences, medicine, or a comparable degree program. You should have professional experience either in consulting or in an operations-related role within the pharmaceutical, biotech, or medtech industry.

You should have a strong T-shaped profile with broad industry understanding and deep expertise in areas such as manufacturing operations, operations excellence, supply chain optimization, or quality. You should also have a strong interest in emerging trends and technologies in manufacturing and supply chain, and the ability to combine people-centric thinking with strong analytical skills and communicate complex topics in a clear and structured way.

You should be willing to travel domestically and internationally, and have excellent command of English. Additional language skills are a plus.

In return, we offer a competitive salary and benefits package, including flexible working models, retirement provision, working time models, work & family support, health promotion, purchase & leasing programs, employee meals, mobility, and employee discounts.

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Key responsibilities include:

• Design, develop, and enhance PAW dashboards, books, reports, and interactive planning applications
• Build and optimize PAX reports, input templates, and management reporting books
• Develop and maintain TI processes for data loading, data transformation, master data maintenance, and automation workflows
• Create, enhance, and troubleshoot TM1 Rules and Feeders
• Collaborate with business stakeholders to translate planning and reporting requirements into user-friendly PAW/PAX solutions
• Support backend model improvements, including dimension design, cube structures, security concepts, and performance optimization
• Participate in issue resolution, knowledge sharing, and continuous improvements of the Planning Analytics landscape

Requirements include:

• Strong hands-on experience with IBM Planning Analytics Workspace (PAW) development
• Very good experience in IBM Planning Analytics for Excel (PAX) reporting and input templates
• Solid backend expertise in IBM TM1 / IBM Planning Analytics
• Strong knowledge of TurboIntegrator (TI) scripting
• Practical experience with Rules, Feeders, and cube performance tuning
• Good understanding of dimension hierarchies, subsets, MDX, and cube design
• Experience with data integration, file-based loads, and process automation
• Experience with PowerShell / batch scripting for file automation (nice-to-have)
• Ability to work on both frontend user experience and backend technical logic
• Strong attention to detail
• Strong communication skills with both technical and business stakeholders
• Ability to translate business requirements into intuitive planning solutions
• High level of ownership and autonomy
• Analytical and problem-solving mindset

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Key responsibilities include:

• Data-driven problem solving: Conduct weekly analyses of users that don't meet our 5-minute onboarding promise, identify root causes, and reduce inefficiencies to keep that figure below 4%.
• Clear communication: Ensure users in onboarding always know what is expected of them, what they need to do next, and receive a clear timeline for their account verification.
• Policy optimisation: Conduct quarterly reviews of SBI codes, risk labels, and acceptance policies to remove unnecessary blockers while maintaining compliance
• Leverage APIs: Use service providers where possible to directly collect and verify user data, boosting 5-minute onboarding

Requirements include:

• Deep expertise in KYB processes, with familiarity in EDD and CDD across EU markets.
• Proven ability to deliver seamless UX for onboarding journeys, ideally with product-facing experience.
• Strong analytical and research skills that allow you to turn raw data into actionable business insights.
• The ability to plan, organize, and execute complex improvements to onboarding mechanisms while driving real results.
• Prior experience optimizing policies and working in regulated environments.
• Excellent knowledge of various risk profiles and acceptance standards, including risk-labeling frameworks and decision paths.
• Strong communication skills and a user-centric approach to problem-solving,always keeping Eva (our user) at the heart of every decision.

In return, we offer a competitive salary, excellent benefits, and the opportunity to work with a talented team of professionals.

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We're not looking for a traditional SEO manager who just follows a playbook. We're looking for a strategic leader who lives and breathes AI-driven growth. Your mission is to build a sophisticated, self-improving organic growth engine, centered on our websites, that will become the primary driver of new users for bunq. This isn't about fragmented channels or theoretical strategy. It's about taking ownership of the entire organic ecosystem,from technical foundations to AI-powered content and conversion,and building a compounding flywheel that positions us to win the future of search.

Take Ownership

As our Head of Organic Growth, you are the architect of our website growth. You will:

Bridge Strategy and Execution: You won't just create plans, you'll build the system. You are technically proficient enough to guide on-site optimization but strategic enough to design a cohesive, multi-year growth plan.

Build a Closed Loop Website Growth Engine: Own the integration of our organic channels, focused exclusively on bunq.com and tricount.com. You will connect technical SEO, AI driven content, paid signals, and conversion optimization into a single, unified engine that learns from every interaction.

Innovate Beyond the SEO Playbook: Move beyond outdated tactics. You will architect and implement a modern growth strategy that leverages AI for programmatic content, workflow automation, and preparing our web properties for the next generation of AI driven search.

Lead a High-Performance, AI First Team: Lead, and scale a lean, high output team. Your focus is to 10x impact by replacing manual work with intelligent systems and clear frameworks, ensuring you deliver measurable results, not just reports.

Requirements

This challenge is for you if...

You are a strategic doer, not just a manager or a technician. You have a history of building growth systems from the ground up.

You think in systems, not just channels. You have proven expertise in designing AI driven growth loops that integrate SEO, content, and conversion into a compounding engine.

You are a master of modern, website centric SEO strategy and are obsessed with technical excellence, structured data, and what it takes to win in an AI search world.

You reject old playbooks and constantly seek innovative ways to drive growth, with a deep understanding of how AI is transforming organic discovery.

You have a get shit done mentality and thrive on taking ownership, moving fast, and driving projects to completion in a high-performance environment.

Curious to see how we make life easy? - try the bunq app, it only takes 5 minutes to sign up.

Your space to perform

We give you the space and the tools you need to succeed

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Your role will involve analyzing performance data, identifying growth opportunities, and developing strategies to increase revenue. You will also be responsible for optimizing listings, advising on pricing and availability, and ensuring your partners maximize bookings and revenue.

You will work independently to launch targeted email campaigns to activate and develop your accounts. You will also organize host events to build a strong regional network and strengthen relationships with our partners.

You will work closely with our sales managers to onboard new hosts, ensuring their listings are optimized, successfully listed, and aligned with growth goals.

You will exchange best practices and knowledge with DACH and international account managers to ensure a seamless transfer of knowledge within the Holidu community.

Key responsibilities include:

• Managing a portfolio of high-performing hosts in Bavaria
• Analyzing performance data to identify growth opportunities
• Developing strategies to increase revenue
• Optimizing listings and advising on pricing and availability
• Launching targeted email campaigns to activate and develop accounts
• Organizing host events to build a strong regional network
• Working closely with sales managers to onboard new hosts

Requirements include:

• Experience as an Account Manager, Key Account Manager, or in a similar customer-facing role
• Strong communication skills and ability to remain calm and friendly in all situations
• Customer-centric, problem-solving, entrepreneurial, data-driven, and results-oriented mindset
• Enthusiasm for new technologies and the travel industry
• Proficiency in German and English

Working at Holidu means being part of a dynamic team that is passionate about making a difference in the travel industry. We offer a range of benefits, including travel discounts, fitness rebates, and other perks that will keep you energized and motivated. Join us and be part of a team that is shaping the future of travel!

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In this role, you will contribute to the continuous improvement of our DevOps processes, collaborate with cross-functional teams, and apply best practices for scalable, reliable, and secure systems.

Our ideal candidate has a solid technical foundation, a strong hands-on approach, and the ability to deliver results with minimal supervision.

Our Tech Stack

• Cloud: AWS (EC2, S3, RDS, EKS, Elasticache, Lambda)
• Container Orchestration: Kubernetes with Helm
• Infrastructure as Code: Terraform + Terragrunt, Pulumi/ CDK
• Monitoring & Observability: Prometheus, Grafana, Elastic Stack, OpenTelemetry
• CI/CD: Jenkins, GitHub Actions, ArgoCD, ArgoRollouts
• Scripting: Python, Go, Bash
• Version Control: GitHub
• Collaboration: Jira (Agile)
• Automation: N8N, AI-assisted tooling (Agentic ADK)

Your role in this journey

As a DevOps Engineer, you will be responsible for:

• Implementing and maintaining infrastructure definitions using Terraform, Pulumi, or similar tools
• Ensuring IaC standards are followed and contributing improvements to existing modules and patterns
• Managing and monitoring AWS services, ensuring system performance, availability, and adherence to best practices
• Troubleshooting production issues and participating in capacity planning
• Maintaining and troubleshooting Kubernetes clusters , deploying workloads, managing configurations, scaling services, and resolving incidents to support high-availability applications
• Maintaining and improving CI/CD pipelines to ensure smooth, automated software delivery
• Identifying bottlenecks and implementing enhancements across Jenkins, GitHub Actions, ArgoRollouts and ArgoCD
• Maintaining and extending our monitoring stack (Prometheus, Grafana)
• Building dashboards, configuring alerts, and improving observability to ensure comprehensive visibility into system health and performance

Your backpack is filled with

• 4+ years of experience in a DevOps, SRE, or cloud engineering role with hands-on production experience
• Solid working experience with AWS services (EC2, EKS, S3, RDS, Lambda) and cloud infrastructure management
• Hands-on experience with Docker and Kubernetes in production environments , deploying, scaling, and troubleshooting containerized workloads
• Practical experience with at least one Infrastructure as Code tool (Terraform, Pulumi, or AWS CDK)
• Experience maintaining and improving CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
• Proficiency in scripting with Python, Bash, or Go for operational automation
• Working knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms
• Familiarity with logging and log aggregation systems (Elastic Stack, Open Telemetry, or similar)
• Solid understanding of Linux administration, networking fundamentals, and system security basics
• Strong communication skills with the ability to collaborate across teams and explain technical decisions clearly

Nice to Have

• Experience with Helm charts and Kubernetes package management
• Familiarity with GitOps workflows (e.g., Github Actions, ArgoCD, Flux)
• Experience with designing AWS services-based architectures is a plus
• Experience with AI automation or low-code/no-code platforms such as N8N is a plus
• Familiarity with prompt engineering and using AI tools to augment DevOps workflows
• Exposure to cost optimization strategies for cloud infrastructure
• Experience with incident response, on-call rotations, or SRE practices (SLOs, error budgets)
• Experience with DevSecOps practices , integrating security scanning and compliance into CI/CD pipelines

Our adventure includes

• 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

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Key responsibilities include:

• Leading and engaging with US Sales, HCP Operations, Sales Operations & Insights, and Marketing stakeholders to ensure key business strategies can be broken down to effective, measurable, and scalable processes.
• Partnering with the Director and other AD to oversee day-to-day team operations, including workload visibility, prioritization, clear direction setting, and handling escalations as needed.
• Scoping, delivering, and scaling meaningful CRM and other sales optimization platforms, minimizing duplication, reducing work in the system, and enabling field teams to reach their customers more effectively and efficiently.
• Driving system and process adoption through strategic and operational change management activities, including presenting to and obtaining buy-in with senior leadership.
• Managing the rollout of system enhancements, from impact assessment and readiness planning to training, communications, and post-launch adoption tracking and reinforcement.
• Being the CRM Lead/SME for product launches and collaborating across departments to ensure go-live readiness upon product approval.
• Boosting virtual or digital activities across all of US Commercial, including Marketing Material Digitization and Optimization.
• Establishing and managing vendor relationships and investigating new system enhancements to continuously improve and optimize the use of existing platforms.
• Supervising and facilitating the resolution of critical Veeva system issues in coordination with IT.
• Representing the department in cross-functional projects to ensure that operations and digital interests and requirements are accounted for.
• Understanding the technicalities of CRM to cultivate successful partnerships with IT.

Requirements include:

• A Bachelor's degree.
• 5+ years of experience in implementing, managing, or enhancing Salesforce CRM, Veeva Suite (CRM, PromoMats, Align), and/or related platforms.
• Pharmaceutical industry experience, including product launches.
• Excellent business process optimization and business requirements gathering skills, with a focus on building scalable systems and processes.
• Proven ability in effectively working with and managing cross-functional teams, successfully navigating between Business and IT stakeholders.
• Excellent presentation and communication skills, with the ability to interact with senior management.
• Advanced PowerPoint or equivalent software skills for making strong presentations to key stakeholders.
• Advanced Excel or equivalent software skills for data analysis.
• Strong analytical thinking and problem-solving ability.
• Highly proactive and resourceful to excel in a fast-paced environment.
• Strong project management, delivery, and risk management skills.
• Vendor management experience, including offshore.

Preferred qualifications include:

• Veeva CRM or Salesforce.com certification.
• Experience in rare disease Pharma.

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Key Responsibilities

scorerate scalable and efficient solutions using iOS SDK and Xcode. Develop applications using Swift or Objective-C. Implement intuitive and engaging UI/UX designs. Debug and troubleshoot to resolve any application issues. Optimize code for performance and scalability. Collaborate with cross-functional teams to achieve project goals.

Required Skills and Experience

Proficiency with iOS SDK and Xcode. Experience in Swift or Objective-C programming. Solid understanding of UI/UX design principles. Strong troubleshooting and debugging skills. Experience with code optimization techniques.

Benefits

Competitive salary and substantial benefits package. Opportunities to work on cutting-edge technologies and projects. Flexible work hours, with options for remote work. Continuous professional development and career growth opportunities.

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You will coordinate and prioritize workload within a large team, provide on-the-job support to contingent staff, and communicate run performance, KPIs, and operational updates to stakeholders. You will work closely with hub specialists and scientists as well as supporting functional spaces within the Precision Genomics program.

To be successful in this role, you will possess a Bachelor's degree and knowledge of next-generation sequencing (NGS) technologies, platforms, and associated workflows. You will also have strong molecular biology foundation with the ability to troubleshoot workflows, interpret data, and apply sound scientific judgment. Additionally, you will have demonstrated good laboratory technique, including accurate pipetting, contamination control, and consistent execution of SOPs.

Preferred qualifications include a Master's degree in Biology, Chemistry, or a related field with 1+ year of relevant experience, or a Bachelor's degree with 4+ years of related experience in academia or industry. Experience operating NGS instruments (Illumina preferred) in research or production settings, high-throughput automation experience, and proficiency with digital lab systems such as LIMS, sample-tracking tools, and data analysis or visualization software are also desirable.

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Within the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.

As a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:

Partner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.

Lead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.

Work end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.

Run experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.

Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.

Help define the team's roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.

Act as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.

We're looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.

Experience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.

Additionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you'll need to work with diverse stakeholders and explain complex topics in a simple way.

AI proficiency is also a plus, as you'll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.

If you're excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!

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You'll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.

As a Senior Data Scientist, you'll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:

• Translate business questions into scientific, testable models and clear recommendations.
• Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.
• Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.
• Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.
• Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.
• Monitor model performance, iterate on results, and continuously improve accuracy and relevance.
• Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.

You'll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You'll have a strong background in statistics, forecasting, and machine learning. You'll be hands-on with Python and SQL, and confident working with large datasets. You'll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).

You'll be a self-starter: proactive, hungry to learn, and eager to make an impact. You'll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.

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The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is £225,000-£325,000 GBP.

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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models.

If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

Key Responsibilities:

• Build, profile and optimize our training and inference framework.
• Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements.
• Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts.

Ideal Candidate:

• At least 1-3 years of LLM training in a production environment.
• Passionate about system optimization.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster.
• Experience with multi-node LLM training and inference.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment.
• PhD or Masters in Computer Science or a related field.

Compensation:

We offer competitive compensation packages, including 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.

Benefits:

• Comprehensive health, dental and vision coverage.
• Retirement benefits.
• A learning and development stipend.
• Generous PTO.
• Commuter stipend.

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This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

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.

Salary Range: $167,200-$209,000 USD

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This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use.

The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit.

Responsibilities:

• Build and ship user-facing features for claude.ai's web experience, working closely with designers to bring detailed, polished interactions to life

• Translate design intent into high-quality implementations , paying close attention to accessibility and the small details that add up to a great product feel

• Build responsive applications that work well across devices and screen sizes, and actively care about the performance characteristics that shape how the product feels to use , latency, responsiveness, and reliability are first-class concerns, not afterthoughts

• Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build

• Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis

• Work with the UI Platform team to consume shared components and tooling effectively, and flag gaps or pain points that would help the broader team move faster

• Help maintain a high bar for code quality and consistency within the consumer product codebase

You may be a good fit if you:

• Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience

• Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack

• Genuinely care about the user experience , not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design

• Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser

• Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters

• Pick up slack, even if it goes outside your job description

Strong candidates may also have experience with:

• Accessibility best practices and building inclusive user interfaces

• Performance optimization for consumer web apps , profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end

• Designing and implementing responsive layouts that work well across screen sizes and devices

• Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.)

• User research or usability testing, or a track record of incorporating user feedback into product decisions

• Working on AI/ML products or in fast-moving consumer product environments

Candidates need not have:

• 100% of the skills needed to perform the job

• Formal certifications or education credentials

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

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In this role, you will:

• Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
• Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
• Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
• Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
• Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
• Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, you'd have:

• Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
• Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
• Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
• Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
• Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
• IaC: Familiarity with infrastructure as code (e.g., Terraform).
• Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves:

• Exposure to Vision-Language-Action (VLA) models.
• Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
• Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

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.

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You will:

• Provide strategic and tactical direction to a shift organization of 100 people, including Operations Supervisors, Robotics Technicians, and Data Collection Associates.
• Serve as the guardian of the workplace experience, proactively identifying the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.
• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.
• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.
• Partner with the Robotics Technical team to ensure maximum equipment uptime, serving as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.
• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Ideally, you'd have:

• Experience: 6+ years in high-volume manufacturing, automated logistics, or technical operations.
• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.
• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.
• Education: Bachelor's degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.
• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Annual compensation range for this role is €235,000-€295,000 EUR.

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.

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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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Responsibilities:

• Develop and execute a product strategy focused on driving Claude Platform growth metrics such as acquisition, activation, monetization
• Lead the ideation, development, and launch of growth features across our API product - onboarding, console, docs, billing, and self-serve upgrade paths
• Analyze product metrics and user feedback to identify opportunities and optimize performance
• Collaborate with engineering, design, developer relations, and marketing teams to deliver high-impact growth initiatives
• Conduct user research to understand customer needs and pain points
• Define and track key performance indicators (KPIs) for API growth
• Balance rapid iteration with our commitment to AI safety and ethics

Qualifications:

• 6+ years of product management experience, majority in growth focused roles
• Experience driving growth for API, developer platform, or technical / usage-based products
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

Logistics:

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

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The Strategic Sourcing team partners closely with internal stakeholders to design and deliver sourcing strategies that align with Airbnb's business priorities while driving innovation, value, and stakeholder success. We are a collaborative, forward-thinking team that embraces an AI-first mindset and leverages technology, automation, and data to simplify processes and unlock new efficiencies.

As the Strategic Sourcing Manager at Airbnb, you will lead end-to-end sourcing and supplier relationship management across key spend areas such as Community Support (Contact Center) services, including global outsourced support operations, vendor strategy, and performance governance. You will develop and execute category plans that align with business priorities, identifying opportunities for cost optimization, supplier innovation, and risk mitigation across the BPO category.

Success in this role means delivering measurable cost and value improvements, advancing supplier diversity and innovation, and shaping Airbnb's sourcing strategy to support company growth and operational excellence.

Responsibilities:

• Partner with business leaders across the organization to understand needs and translate them into sourcing strategies and negotiation plans.
• Conduct and lead end-to-end sourcing activities, including opportunity assessments, RFPs, supplier selection, and complex contract negotiations.
• Analyze spend data and market trends to identify savings, innovation, and risk mitigation opportunities across BPO services and related categories.
• Apply AI tools and automation to streamline data analysis, supplier management, and contract workflows.
• Identify and implement continuous improvement initiatives, simplifying sourcing processes and driving measurable efficiency gains.
• Build and manage supplier relationships to ensure ongoing value delivery, service quality, and alignment with Airbnb's diversity and sustainability objectives.
• Collaborate cross-functionally with Legal, Finance, and Vendor Management to develop clear commercial terms, ensure compliance, and support sound financial outcomes.
• Serve as a thought partner to stakeholders, offering insights on supplier capabilities, market dynamics, and cost optimization strategies.
• Influence vendors and internal partners to drive innovation, continuous improvement, and long-term value creation, while leading complex negotiations and contracts that mitigate risk, enhance accountability, and maximize total cost of ownership.

Requirements:

• 10+ years of procurement or industry experience, ideally managing indirect spend across BPO (Contact Center) services.
• Bachelor's or advanced degree in Finance, Supply Chain, Business, or a related field.
• Proven ability to lead complex sourcing and negotiation efforts delivering measurable savings and value.
• Experience applying AI or data-driven solutions to simplify procurement processes or optimize workflows.
• Strong analytical, communication, and stakeholder management skills with the ability to influence senior leaders.
• Deep understanding of supplier management, risk mitigation, and contract governance.
• Limited travel may be required.

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Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

At Scale, we're uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

Responsibilities:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideal Candidate:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to Have:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation Packages:

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.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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They will develop, implement, and continuously improve production processes to enhance productivity and quality. They will also ensure compliance with industry standards, safety regulations, and internal policies.

As a leader, they will lead, mentor, and develop a diverse team of engineers, technicians, and support staff. They will foster a collaborative and inclusive team environment that encourages innovation and continuous improvement.

In addition, they will serve as the primary point of contact for customers regarding production-related inquiries and concerns. They will address customer needs promptly and professionally, ensuring high levels of customer satisfaction.

Key Responsibilities:

• Develop, implement, and continuously improve production processes to enhance productivity and quality.
• Ensure compliance with industry standards, safety regulations, and internal policies.
• Lead, mentor, and develop a diverse team of engineers, technicians, and support staff.
• Foster a collaborative and inclusive team environment that encourages innovation and continuous improvement.
• Serve as the primary point of contact for customers regarding production-related inquiries and concerns.
• Address customer needs promptly and professionally, ensuring high levels of customer satisfaction.

Requirements:

• Bachelor’s degree in Chemical Engineering, Mechanical Engineering, or a related field. Advanced degree preferred.
• Minimum of 7-10 years of experience in a manufacturing engineering role, ideally with a focus on chemical, explosives, or energetics industries.
• Proven experience in leading and managing diverse and dynamic teams.
• Technical skills in production documentation, process optimization, and lean manufacturing principles.
• Strong customer service skills with the ability to address and resolve customer concerns effectively.
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving abilities.
• In-depth knowledge of safety regulations and best practices in manufacturing environments.

Preferred Qualifications:

• Relevant certifications in project management, lean manufacturing, or Six Sigma.
• Experience with manufacturing software and tools, such as ERP systems and CAD software.
• Deep understanding of the regulatory landscape and industry standards for chemical, explosives, and energetics manufacturing.

Salary Range:

$170,000-$256,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• Income protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• 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.
• 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.

Protecting Yourself from Recruitment Scams:

• No financial requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.
• Verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Exercise caution with unsolicited outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• Report suspicious activity: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

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This is a high-visibility, high-impact role where you'll architect and build AI-forward solutions to personalize the customer journey, optimize conversion funnels, and reduce churn. You'll partner closely with Product, Data Science, and Design to define the future of Dropbox monetization while mentoring a team of 15 engineers across experience levels.

Your work will have immediate, measurable business impact. You'll get substantial exposure to Growth leadership, shape the technical direction of a critical revenue-driving platform, and help build a best-in-class monetization engineering practice.

Responsibilities

• Lead the design and implementation of scalable, reliable systems powering Dropbox's monetization flows (checkout, trials, subscriptions, pricing)

• Define and drive the technical roadmap for Growth Monetization, aligning engineering investments with business priorities

• Architect AI/ML-powered solutions for conversion optimization, personalized offers, and predictive churn modeling

• Own end-to-end delivery of complex, cross-functional projects with direct revenue impact

• Establish engineering best practices, improve system reliability, and drive down technical debt

• Mentor engineers across the team, fostering growth and elevating technical capabilities

• Partner with Product, Data Science, and Design to translate business goals into technical solutions

Requirements

• 12+ years of software engineering experience, with 3+ years operating at a senior or staff level

• Strong full-stack engineering skills with proficiency in modern frontend frameworks (React, TypeScript) and backend technologies (Python, Go, or similar)

• Demonstrated ability to lead complex technical projects from conception through delivery

• Experience designing and scaling systems that handle high traffic and require high reliability

• Track record of influencing technical strategy and driving architectural decisions beyond immediate team scope

• Proven ability to mentor engineers and raise the technical bar across a team

• Strong product intuition and ability to balance technical excellence with business impact

Preferred Qualifications

• Experience with monetization, payments, checkout, or e-commerce platforms

• Background in growth engineering, conversion optimization, or experimentation platforms

• Familiarity with ML/AI applications in personalization or funnel optimization

• Experience with subscription-based or SaaS business models

• Prior experience at a company operating at significant scale (millions of users)

XML job scraping automation by YubHub

Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.

Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your 'Whatever It Takes' mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.

This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

Key Responsibilities:

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms

• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius

• Lead and mentor a group software engineers to help drive team success and to successfully hit tight project deadlines

• Optimize performance of existing products, primarily focused on our Altius Drone product line

• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs

• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field

• Contribute to the design and implementation of multi-agent coordination systems for UAVs

• Participate in the full software development lifecycle, from concept and design through testing and deployment

• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

Required Qualifications:

• Bachelor's degree in Robotics, Computer Science, or related field

• 7+ years of professional software development experience

• Experience as a lead of a small software engineering team

• Strong proficiency in C++ or Rust, with experience in Linux development environments

• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization

• Proven experience troubleshooting and analyzing remotely deployed software systems

• Hands-on experience working with and testing electrical and mechanical systems

• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing

• Strong problem-solving skills and a 'Whatever It Takes' mindset

• Excellent communication skills, both written and verbal

• Eligible to obtain and maintain an active U.S. Secret security clearance

• Willingness to relocate to Atlanta, GA

Preferred Qualifications:

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)

• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls

• Experience with performance optimization and metrics for complex robotic systems

• Proficiency in Python, Rust, and/or Go, in addition to C++

• Hands-on experience programming for embedded systems and physical devices

• Background in multi-agent coordination, particularly with UAVs

• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)

• Experience with real-time operating systems and distributed computing

• Familiarity with machine learning and AI applications in robotics

• Knowledge of sensor fusion techniques and implementation

• Understanding of aerodynamics and flight dynamics as applied to UAV systems

• Experience with simulation environments for robotics testing and development

• Track record of contributions to open-source robotics projects or relevant publications

XML job scraping automation by YubHub

Our Early Bets initiatives are critical to EarnIn's success, providing new experiences and products for our users to ensure they are empowered with a more comprehensive ecosystem of solutions.

The ideal candidate has experience building 0-to-1 products, demonstrating a strong ability to design and implement scalable architectures that support rapid product evolution.

Responsibilities:

• Partner with Product and Design to define, build, and evolve user experiences using modern frontend technologies.

• Own and evolve the frontend architecture to ensure scalability, performance, accessibility, and long-term maintainability.

• Lead the design and implementation of complex frontend systems using React, TypeScript, and Next.js, including SSR, routing, data fetching, and performance optimization.

• Establish and uphold frontend engineering standards, including patterns, tooling, testing strategies, and CI/CD best practices.

• Drive cross-team technical initiatives, aligning frontend architecture with backend APIs, platform capabilities, and product strategy.

• Proactively identify technical risks and opportunities, providing clear technical direction and tradeoff analysis.

• Mentor and guide frontend engineers, raising the bar on code quality, architectural thinking, and delivery practices.

• Design and implement robust unit, integration, and UI automation tests to ensure reliability and confidence at scale.

• Define and monitor frontend metrics (performance, reliability, user behavior) to inform product and technical decisions.

Benefits:

• Base salary range: $210,000 - $257,000

• Equity and benefits

XML job scraping automation by YubHub

The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment.

Responsibilities

• Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use.
• Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs.
• Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting.
• Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures.
• Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.

Requirements

• Bachelor's in CS, Engineering, or related field, or equivalent experience preferred.
• CKA or similar certifications is highly desired.
• 5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS).
• Strong Gitops/Devops with Argocd or similar helm chart management.
• Proven Docker and containerization experience.
• Strong Linux OS experience.
• Proficient in Go.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and collaboration.

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).

Benefits

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

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.

XML job scraping automation by YubHub

Responsibilities: Work on supply chain, procurement, and logistics problems from real-world business scenarios that align with your expertise, providing accurate solutions, detailed annotations, and model critiques where you can confidently evaluate responses (e.g., strategic sourcing decisions, inventory optimization, logistics network design, supplier risk assessments, and trade compliance scenarios). Utilize proprietary software to provide accurate input and labels to deliver high-quality data. Collaborate with technical staff to improve the design of efficient annotation tools. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Qualifications: 5+ years of practical supply chain, procurement, or logistics experience (hands-on role in sourcing, inventory, or distribution management). Proficiency in procurement and supply chain systems (e.g., SAP Ariba, Coupa, Oracle, Kinaxis, or Blue Yonder) and advanced Excel for cost modeling. Strong judgment in evaluating supplier negotiations, risk scenarios, and logistics trade-offs. Ability to navigate supply chain resources. Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in business.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for both the customer-facing Model Serving product and its foundational infrastructure.
• Defining and owning the product and technical roadmap for Model Serving, balancing customer experience, functionality, and foundational investments across deployment, inference, monitoring, and scaling.
• Collaborating closely with product, research, platform, and infrastructure teams to drive end-to-end delivery from ideation and prioritization to launch and operation.
• Ensuring Model Serving meets stringent SLAs, SLOs, and performance and reliability goals, continuously improving operational efficiency and customer experience.
• Driving architectural decisions and product design around latency, throughput, autoscaling, GPU/CPU placement, and cost optimization.
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
• Promoting best practices in code quality, testing, observability, and operational readiness.
• Fostering a culture of excellence, inclusion, and continuous improvement across the team.
• Partnering with recruiting to attract, hire, and develop top-tier engineering talent.

XML job scraping automation by YubHub

Key responsibilities include designing, implementing, and optimizing distributed training systems, developing high-performance optimizations, and establishing standards for reliability, maintainability, and security. You'll collaborate with researchers and engineers to build scalable infrastructure and publish learnings through internal documentation, open-source libraries, or technical reports.

We're looking for someone who blends deep systems and performance expertise with a curiosity for machine learning at scale. A strong understanding of deep learning frameworks, such as PyTorch, and experience working on distributed training for large models are preferred. If you have a track record of improving research productivity through infrastructure design or process improvements, that's a plus.

This role is based in San Francisco, California, and offers a competitive salary range of $350,000 - $475,000 USD per year, depending on background, skills, and experience. We sponsor visas and offer generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

In practice, this role will support important decisions with analytical insight and strategic and tactical recommendations to drive the long-term success of the business. You will communicate your findings to senior leadership and partner with others to operationalize the hypotheses and takeaways.

Key responsibilities include:

• Corporate Long Range Financial Planning & Analysis
• Own the long-range budgeting, forecasting, and analysis process, workstreams, and reporting for the consolidated company plan
• Drive cash flow forecasting and management efforts, ensuring liquidity and financial stability
• Develop complex financial models to assess various financial scenarios and support strategic initiatives
• Conduct thorough balance sheet analyses and report on key financial indicators
• Identify and implement process improvements to streamline FP&A activities and enhance reporting accuracy
• Collaborate with cross-functional teams to prepare annual budgets, quarterly forecasts, and long-term financial plans
• Lead the development of executive-level reporting and present financial insights to senior management
• Drive continuous improvement in financial reporting tools, systems, and procedures
• Lead the SG&A forecasting and planning review cycle and engage in detailed workstreams partnering with corporate functional leaders
• Collaborate with department leaders to provide financial insights, support decision-making, and drive accountability for spend
• Prepare monthly and quarterly financial reports and dashboards to communicate SG&A performance to senior leadership
• Analyze trends and risks, offering recommendations to optimize cost structures and improve financial efficiency
• Headcount Planning & Workforce Analytics
• Create comprehensive headcount and new hiring budgeting plans
• Lead the headcount forecasting and reporting process, ensuring alignment with financial and operational goals
• Partner with People function, Talent Acquisition and department leaders to analyze staffing needs, hiring plans, and workforce costs
• Talent acquisition pipeline and capacity management
• Support functional leaders to develop workforce plans as part of the annual planning process
• Develop and maintain models to project salaries, benefits, and personnel-related expenses, ensuring accuracy in financial planning
• Define productivity metrics by segment and role within each function
• Office and site utilization monitoring, tracking and planning
• Support workforce scenario planning, analyzing the financial impact of different hiring strategies and organizational changes
• Track actuals vs. forecast for headcount, compensation, and benefits, providing insights on variances and trends

Requirements include:

• Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA or relevant professional certification (CPA, CFA) is a plus
• 5+ years of experience in financial analysis, modeling, and forecasting within a corporate FP&A, investment banking or consulting environment
• Strong expertise in cash flow management and working capital optimization
• Advanced proficiency in Excel, financial modeling, and data analysis tools
• Demonstrated ability to lead process improvement initiatives in a finance function
• Excellent communication and presentation skills, with the ability to convey complex financial information in an understandable manner
• Proven track record of managing multiple projects in a deadline-driven environment
• Experience with financial reporting tools and ERP systems (i.e. Anaplan, Netsuite, Oracle, Foundry)
• Must be authorized to work in the United States

XML job scraping automation by YubHub

Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 USD

XML job scraping automation by YubHub

Your primary responsibility will be to build high-level plans and then jump into the platforms to execute them. You will be the primary expert in the "cockpit" for channels like LinkedIn and Google Ads, optimizing campaigns daily to drive high-quality results and a measurable return on investment (ROI).

You will use intent signals (like 6sense) and our proprietary data to target the Life Science accounts and decision-makers that need our solutions. You will run target acquisition programs to acquire new leads within the Life Sciences industry.

In this role, you will lead the strategy for A/B testing ad copy, creative assets, and landing pages to ensure we are constantly improving our conversion rates. You will create landing pages and perform Conversion Rate Optimization (CRO).

You will partner closely with the Website team and vendors to ensure a seamless "click-to-customer" journey.

You will manage our outside media agency, holding them accountable for high-quality work and budget alignment. You will partner with our Analytics lead to turn complex spreadsheets into clear stories about performance, ROI, and growth opportunities.

You will take full ownership of channel budgets and resource allocation across brands and channels to achieve the organization’s objectives.

You will measure and report paid campaign performance against key performance indicators (KPIs), providing strategic recommendations that drive continuous improvement.

You will review and recommend new paid advertising technologies and platforms; build business cases and pro forma projections for new and creative paid digital marketing channels.

To be successful in this role, you will need to have 5+ years of professional B2B tech experience focused specifically on managing and executing digital ads. You will need to have expert-level skills in LinkedIn Ads Manager and Google Ads. Experience with 6sense or similar ABM platforms is a huge plus.

You will be comfortable working inside ad tools every single day to optimize performance. You will have a mindset that embraces AI to change how paid media management gets done.

You will be able to turn raw data into smart, actionable recommendations for the future.

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You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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We're looking for founding members of the newly formed Asia Growth team to improve the Android user experience by leveraging your extensive experience to enhance the performance and efficiency of our Android app.

As a Senior Software Engineer, you will quickly develop native Android application performance optimizations in Kotlin, collaborate closely with cross-functional teams to identify performance bottlenecks and implement solutions, and perform experiment analysis on features and find opportunities for optimization.

We offer an exciting opportunity to drive performance improvement initiatives that directly impact user experience and retention, and make a significant impact on Duolingo's key business metric DAU, worldwide!

You will have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes , while doing work that's both fun and meaningful.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

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Your responsibilities will include serving as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.

You will collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

You will lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

You will act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.

You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.

You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

You will represent CoreWeave at conferences and industry events, with occasional travel as required.

To be successful in this role, you will need to have a B.S. in Computer Science or a related technical discipline, or equivalent experience.

You will also need to have 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.

You will need to be fluent in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions.

You will need to have a proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences.

You will need to be familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL).

You will need to have experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes.

Preferred qualifications include code contributions to open-source inference frameworks, experience with scripting and automation related to Kubernetes clusters and workloads, experience with building solutions across multi-cloud environments, and client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures.

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This is a highly collaborative role. You'll work closely across pre-training, post-training, and product with world-class researchers, infrastructure engineers, and designers.

As a researcher in this role, you'll be expected to:

• Own research projects on audio training, low-latency inference, and conversational responsiveness.
• Design and train large-scale models that natively support audio input and output.
• Investigate scaling behaviour such as how data, model size, and compute affect capability and efficiency.
• Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.
• Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.
• Publish and present research that moves the entire community forward.

Share code, datasets, and insights that accelerate progress across industry and academia.

This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports.

It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.

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You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. Your goal will be to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

Your responsibilities will include:

• Driving performance improvements through advanced optimization techniques including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization for training-specific patterns

• Designing, implementing, and optimizing high-performance GPU kernels for training workloads (e.g., attention mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA architectures

• Designing and implementing distributed training frameworks for large language models, including parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations

• Profiling, debugging, and optimizing end-to-end training workflows to identify and resolve performance bottlenecks, applying memory optimization techniques like activation checkpointing, gradient sharding, and mixed precision training

We look for candidates with a strong background in computer science or a related field, hands-on experience writing and tuning CUDA kernels for ML training applications, and a deep understanding of parallelism techniques and memory optimization strategies for large-scale model training.

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As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.

Your job is to help Headway answer the questions that matter:

• What is truly incremental?

• Where should we invest next?

• What is driving performance shifts?

• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.

Responsibilities:

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.

• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.

• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”

• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.

• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.

• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.

• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.

• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful:

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).

• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.

• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.

• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.

• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.

• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.

• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.

• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have:

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.

• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.

• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).

• Experience partnering with Finance on budget allocation, payback, and scenario planning.

• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

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We're looking for a Senior Platform Software Engineer to join our Transport team, which is at the core of our evolution towards a resilient and scalable cloud future. As a member of this team, you'll design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion.

As a Senior Platform Software Engineer, you'll have an outsized impact on every dbt Labs customer, tackling complex distributed systems problems while collaborating across product engineering, security, and infrastructure teams. This is a hands-on role where whatever you work on touches all of dbt Cloud and all of our customers at the same time.

In this role, you can expect to:

• Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels.

• Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles.

• Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.

• Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.

• Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments.

• Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform.

• Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.

• Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.

You are a good fit if you have:

• Worked asynchronously as part of a fully-remote, distributed team

• Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.

• Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).

• Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability.

• Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies , or have a strong desire to learn and grow in this domain.

• Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects.

• Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries.

You'll have an edge if you have:

• Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.

• A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers.

• Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations.

• Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization.

• Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust.

• Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects.

Qualifications

• 5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications.

• A Bachelor's degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered.

Compensation & Benefits

Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process.

In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $147,000 - $178,000 USD

• The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US

Equity Stake Benefits

• dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!

• Equity or comparable benefits may be offered depending on the legal limitations

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)

• Technical Interview with Hiring Manager (60 Mins)

• Team Interviews with Cross Collaborators (4 rounds, 45 Mins each)

• Final Values Interview (30 Mins)

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

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Drive Operational Excellence - Own and monitor daily operations, ensuring adherence to SLAs, KPIs, and performance metrics (response time, resolution time, customer satisfaction, backlog health, etc.).

Lead and Develop a High-Performing Team - Manage, coach, and mentor Support Engineers to achieve their potential and elevate technical excellence.

Handle and Prevent Escalations - Act as the escalation point for critical incidents (P1/P2), ensuring prompt response, coordination, and resolution.

Elevate Technical Excellence - Be a hands-on technical leader capable of reviewing and advising on complex cases across networking, DNS, WAF, Zero Trust, and performance.

Collaborate Cross-Functionally - Partner with Engineering, Product Management, and Customer Success to surface recurring issues and influence product improvements.

Requirements:

• 10+ years of experience in technical support or operations within a SaaS, PaaS, or cloud-based enterprise environment.

• 3+ years of people management experience leading technical teams of 5+ engineers across multiple locations.

• Proven record of meeting or exceeding operational KPIs and driving continuous improvement.

• Strong technical foundation with deep understanding of: Internet technologies, troubleshooting tools, and experience managing 24x7 global support operations and incident escalation frameworks.

• Exceptional communication and stakeholder management skills; able to translate technical issues into business impact.

• A data-driven mindset: confident using metrics to guide performance, planning, and process improvements.

• Passion for developing people, scaling teams, and creating a culture of excellence.

Bonus Points:

• Experience supporting security, CDN, Zero Trust, or performance optimization products.

• Fluency in one of the following languages: Mandarin, Korean, Japanese

• Prior experience in start-up or hyper-growth environments where agility and innovation are key.

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Responsibilities:

• Design, develop and maintain core components in Open Source Trino, the Starburst Enterprise Platform, or the Starburst Galaxy
• Research and Improve performance of Trino query engine on complex queries without sacrificing correctness of the results
• Collaborate with your team members and other teams globally and operate in a fast-paced environment
• We prioritize focused work, ensuring minimal time is spent in formal meetings, allowing you to concentrate on coding and PR reviews
• Being able to clearly articulate your ideas in writing across various communication channels like Slack, GitHub PRs, and Design Documents is essential in our globally distributed team
• Provide exceptional customer support for both internal and external customers

Some of the things we look for:

• At least 2 years of experience developing distributed systems
• Software development experience with Java
• Demonstrated experience with software engineering and design best practices
• Appreciation for creating maintainable, performant, and high-quality software as part of a fun, high-performing global team
• Interest in distributed systems or database internals such as query optimization
• Intrinsic motivation for improving your software engineering craftsmanship
• Demonstration of ownership, grit, and bias for action - core values at Starburst.

Bonus points:

• Prior experience with database internals such as query optimization
• Familiarity with Trino
• Experience in contributing to larger scale Open-Source Software

Where could this role be based?

• This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 1-2 days per week.

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Collaborate within the team and with cross-functional partners such as Experience Designers, Product Managers and Engineers to design and deliver high-quality products on iOS. Build efficient and reusable mobile components and implement reliable, performant, and scalable mobile solutions. Contribute to an inclusive and engaging team environment that fosters learning and growth. Identify areas of improvement and drive mobile best practices.

A typical day involves collaborating with other product engineers and partners to develop Host pricing and availability functionality and surface insights / analytics. You will work hands-on to develop solutions to problems that come about when developing at scale. You will contribute to the delivery of significant components and platform requirements in collaboration with engineers and architects. You will work with product and design partners to explore problem spaces and devise solutions to customer problems; recognize technical challenges in the early stages and collaborate closely with the team. You will identify areas of improvement and drive mobile best practices.

Your expertise should include:

• Bachelor's and/or Master's degree, preferably in CS, or equivalent professional experience
• 2 to 4 years' experience developing iOS applications at scale with a high volume of users with an eye for visual details
• Expertise in Swift or Objective-C, UIKit, and SwiftUI, as well as knowledge of UI architecture and UI performance
• Strong product sense and a passion for UI and UX product development and can effectively communicate with non-technical partners
• Demonstrated ability to collaborate with Product Management, Design, Data and other iOS, Android, and Web Engineers in a fast-paced environment
• Passion for continuous learning and innovation in the mobile industry
• Sound engineering and coding skills. Understanding of basic data structures and asynchronous programming. Experience with iOS app performance optimization & metrics
• Experience with leveraging AI tools and platforms is a plus

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our commitment to inclusion and belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $157,000-$180,600 USD

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Key to this role is possessing an exceptional vocal quality, exceptional audio perception, hands-on background in sound manipulation through editing software, hosting shows, or composing tracks, and demonstrating advanced proficiency in audio principles, techniques, and quality standards.

Responsibilities:

• Use proprietary software to provide labels, annotations, and inputs on projects involving sound clips, voice recordings, and auditory elements.
• Support the delivery of high-quality curated data that ensures clear, professional audio output and accurate representation of sonic details.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle voice modulation, noise reduction, and immersive sound design.
• Work with technical staff to improve annotation tools for efficient workflows.

Basic Qualifications:

• Demonstrated high proficiency in Audio Engineering, Music Production, Communications, or a related field.
• Outstanding vocal presence suitable for recording and demonstration purposes.
• Proven skills in audio post-production, episode creation, or musical arrangement, with a deep grasp of acoustics, mixing, and signal processing.
• Proficiency in evaluating and enhancing sound quality, with strong expertise in waveform analysis, equalization, and audio format compatibility.
• Candidates must be highly proficient in at least one of the following software tools:

Pro Tools Ableton Logic Audacity Studio One FL Studio Reaper

Strong ability to reference professional standards, equipment, and best practices for annotating and refining auditory content.

• Strong communication, interpersonal, technical, and detail-oriented skills.
• Commitment to developing AI that masters sophisticated audio capabilities.

Preferred Skills and Experience:

• Portfolio of audio work, such as edited tracks, hosted episodes, or produced compositions, shared on platforms or professionally.
• Experience in sound design, broadcasting, studio recording, or roles involving auditory critique and optimization.
• Knowledge and mastery of AI-based audio restoration plugins, including Adobe Podcast Enhance, Izotope RX Series, and DX Revive Pro.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $30/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

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In this role, you will:

Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments 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 Networking 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.

Who You Are:

B.S. in Computer Science or a related technical discipline, or equivalent experience 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking. Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking environments. Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL)

Preferred:

Code contributions to open-source inference frameworks Experience with scripting and automation related to network technologies Experience with building solutions across multi-cloud environments Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

We're seeking a talented and experienced Software Full-Stack Engineer passionate about building high-quality, scalable web applications using modern frontend & backend technologies to build the next generation of our omnichannel Contact Center products.

Responsibilities

• Develop and maintain Dialpad's web applications using modern front-end and back-end technologies.
• Provide estimates on technical resources and requirements necessary to plan and begin projects.
• Take responsibility for executing projects in the omnichannel contact center communications space. Assist and drive, as needed, to ensure the team meets its delivery milestones.
• Develop well-tested features with appropriate test hooks, resulting in low defect reports and faster engineering throughput.
• Review technical designs to ensure features/products are well-integrated and fully meet business needs.
• Participate in code reviews, design discussions, and other team activities to ensure high-quality software delivery.
• Troubleshoot and debug issues with existing features, as needed.
• Stay up to date with the latest backend platform technologies and best practices, and contribute to the continuous improvement of our engineering processes and tools.
• Ensure features are shipped on time and to the highest quality standards.

Requirements

• 5+ years of strong experience in full-stack software engineering.
• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.
• Leverage AI Tools (Claude / Windsurf / Gemini) for development.
• Strong experience working with HTML/CSS, Vue.js, Typescript, Python, Java.
• Strong experience working with Cloud Technologies [Google Cloud Platform is a plus] and distributed technologies.
• Working knowledge of unit test and integration test frameworks.
• Good understanding of web technologies, RESTful APIs, and web application frameworks.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.
• Experience with highly agile and iterative development processes.

Why Join Dialpad

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee’s impact
• Competitive salary, comprehensive benefits, and real opportunities for growth

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This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.

Responsibilities:

• Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.
• Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.
• Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.
• Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.
• Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.
• Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications:

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.

Preferred qualifications , we encourage you to apply if you meet some but not all of these:

• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.
• Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.
• Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.
• Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.
• Experience training and supporting large-scale AI models.
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics:

• Location: This role is based in San Francisco, California.
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Responsibilities:

• Work end to end on identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research
• Collaborate with the team to design and implement solutions to complex problems
• Develop and maintain large-scale distributed systems
• Implement and deploy machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

Requirements:

• Significant software engineering experience, particularly with distributed systems
• Results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Application Instructions:

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

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As an Enterprise Account Executive, you will:

• Own your customer & build pipeline and close any ongoing engagements.
• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.
• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.
• Mutual deal strategy & forecast accuracy: Collaborate with your customer to build formal close plans and keep your CRM up-to-date.
• Executive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.
• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.
• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

We're looking for someone with:

• Proven experience of working with or for NATO with existing relationships.
• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.
• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.
• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.
• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.
• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model.

Bonus Points:

• Prior experience of projects with geospatial content.
• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

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Responsibilities include go-to-market design, resource planning, quota setting and management, sales process optimization and business analytics. You will also partner with key cross-functional stakeholders, including Finance & Strategy, Functional Sales Operations, Global Systems & Processes, and the Strategy Planning and Insights team to streamline and optimize our internal processes and deliverables (monthly business reviews, weekly forecasting calls, target setting and planning).

We are looking for a self-starter who is passionate about their work, detail oriented, analytical and has demonstrated success dealing with ambiguity in a high-growth environment, and solving problems with limited oversight.

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Key responsibilities include conducting supplier selection, partnering with strategic suppliers, managing CAPEX throughout NPI, conducting value-stream mapping, completing BOM risk assessments, ensuring completion of all component qualifications, reducing complexity through commonality optimization and component/supplier rationalization, and leading all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle.

Required qualifications include a Bachelor's degree in engineering or other technical field, 3+ years of experience in sourcing engineering, supplier engagement and development, or design of electronics and/or mechanical devices, domain expertise of value/procurement engineering or TCO-related work at the component & product level, ability to travel up to 25% of the time, and ability to relocate, if not already local to be onsite in Costa Mesa, CA.

Preferred qualifications include a Master's degree or advanced technical degree, deeper experience within design & development of electronics and/or mechanical devices, advanced sourcing activities, including stints as commodity/sourcing managers, supplier development (technology, process, supply chain, etc.), early supplier engagement, ahead of product/engineering requirement realization, familiarity with developing high-tech products in a high-mix, low-volume environment, exposure to working in a fast-pace, start-up environment, and ability to obtain and maintain a U.S. TS clearance.

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A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams, and advocate for and execute new products that deliver impact for our business and users.

As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will be responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.

This role is based either in London or Paris (or within easy commuting distance of these cities). The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range shown below is annualized, is subject to change, and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.

Responsibilities:

Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments

Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure

Investigate and resolve performance bottlenecks in virtualized environments

Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware

Develop tooling for monitoring and improving virtualization performance

Work with our ML engineers to understand their computational needs and optimize our systems accordingly

Contribute to the design and implementation of our next-generation compute infrastructure

Share knowledge with team members on low-level systems programming and Linux kernel internals

Partner with cloud providers to influence hardware and platform features for AI workloads

You may be a good fit if you:

Have experience with Linux kernel development, system programming, or related low-level software engineering

Understand virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics

Have experience optimizing system performance for compute-intensive workloads

Are familiar with modern CPU architectures and memory systems

Have strong C/C++ programming skills and ideally experience with systems languages like Rust

Understand Linux resource management, scheduling, and memory management

Have experience profiling and debugging system-level performance issues

Are comfortable diving into unfamiliar codebases and technical domains

Are results-oriented, with a bias towards practical solutions and measurable impact

Care about the societal impacts of AI and are passionate about building safe, reliable systems

Strong candidates may also have experience with:

GPU virtualization and acceleration technologies

Cloud infrastructure at scale (AWS, GCP)

Container technologies and their underlying implementation (Docker, containerd, runc, OCI)

eBPF programming and kernel tracing tools

OS-level security hardening and isolation techniques

Developing custom scheduling algorithms for specialized workloads

Performance optimization for ML/AI specific workloads

Network stack optimization and high-performance networking

Experience with TPUs, custom ASICs, or other ML accelerators

Representative projects:

Optimizing kernel parameters and VM configurations to reduce inference latency for large language models

Implementing custom memory management schemes for large-scale distributed training

Developing specialized I/O schedulers to prioritize ML workloads

Creating lightweight virtualization solutions tailored for AI inference

Building monitoring and instrumentation tools to identify system-level bottlenecks

Enhancing communication between VMs for distributed training workloads

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You'll be the connective tissue between Marketing, Product, Engineering, and Sales, ensuring that every touchpoint from first page view to sales handoff is optimized for conversion and user quality. This is a high-leverage, metrics-driven role.

You'll set the strategy for how prospects discover Flexport, experience our products and technology for the first time, and convert into high-value leads that Sales can close. You'll own the growth marketing roadmap, run rigorous experimentation, and partner deeply with Marketing on acquisition and with Product and Engineering on the self-serve experience.

Responsibilities

Website as a Growth Product

• Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.
• Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.
• Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).

Self-Serve Flow & Product-Led Growth

• Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.
• Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.
• Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.

Marketing and Product Bridge

• Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.
• Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.
• Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.

AI & Growth Innovation

• Leverage AI tools and workflows to accelerate experimentation, personalization, audience targeting, and performance analysis.
• Use AI to rapidly prototype and launch landing pages, microsites, interactive tools, and campaign automations without waiting on engineering resources.

Analytics & Experimentation

• Build and maintain growth dashboards that track traffic, funnel conversion, channel attribution, campaign ROI, and lead quality.
• Own the marketing experimentation program and define hypothesis backlogs, prioritize tests by expected impact, run experiments with statistical rigor, and scale winners.

Requirements

• Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.
• Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.
• Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation.
• Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work.
• Experience in logistics, supply chain, or enterprise SaaS is a strong plus.
• A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation.
• Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.
• Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly). Comfortable writing SQL and building dashboards.
• Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.
• Strong product craft , you write clear PRDs, define sharp success metrics, and ship iteratively. You know how to scope ruthlessly and say no to the right things.
• Excellent cross-functional communication. You can present strategy and results to the CEO, align Engineering on technical trade-offs, and partner back with your marketing team.
• A bias toward action and experimentation - you ship fast, learn fast, and iterate. You’re energized by ambiguity and thrive when you can move from zero to one.

Salary

The US base salary range for this position is $200,000-$230,000 USD.

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Key responsibilities include:

• Lead the development and implementation of new manufacturing processes and equipment
• Design and optimize production processes for efficiency, scalability, and quality
• Create and review technical drawings, blueprints, and process maps
• Identify and implement continuous improvement initiatives to reduce waste, improve quality, and increase productivity
• Utilize Lean manufacturing, Six Sigma, or other methodologies to enhance manufacturing operations
• Oversee the execution of manufacturing projects, ensuring they are completed on time, within budget, and to the required quality standards
• Coordinate with cross-functional teams, including Design, Quality, and Supply Chain, to ensure smooth production ramp-up for new products
• Collaborate with suppliers to improve material quality and negotiate cost-effective solutions
• Mentor and support junior engineers and manufacturing staff
• Stay abreast of technological advancements and industry trends to drive innovation within the manufacturing processes

We are looking for a highly motivated and experienced Manufacturing Engineer who is passionate about manufacturing and has a strong passion for continuous improvement.

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A typical day will involve collaborating with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness. You will drive the technical vision and strategy for workflow and backend optimization, leading and contributing to the full development cycle: technical design, implementation, testing, experimentation, and deployment.

We are looking for a seasoned software engineer with 9+ years of experience in service-oriented architectures and backend development. You should have expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. You should also be proficient in crafting backend systems focusing on technical quality, efficiency, and resilience.

In addition to your technical expertise, you should have excellent collaboration and communication skills to work effectively across teams and domains. You should be passionate about agile development, system optimization, and team productivity enhancements.

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As a key member of our engineering team, you will own and operate Figma's core observability stack, including vendor platforms such as Datadog, ensuring high availability, strong data quality, and effective signal-to-noise across metrics, logs, and traces.

You will define and drive the technical strategy for instrumentation standards, observability libraries, agents, and operators used to monitor internal and external facing services. You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.

In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.

You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.

You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.

You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.

We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.

You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.

You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.

Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.

Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.

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Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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As an Analytics Engineer, you will design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform. You will partner with AI analysts, ML scientists, engineers, and business teams to understand data needs and ensure accurate, reliable, and ergonomic data solutions. You will lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. You will conduct data analysis and build custom models to support strategic business decisions and performance measurement. You will streamline data collection and reporting processes to reduce manual effort and improve efficiency. You will create scalable solutions like unified data pipelines and access control systems to meet evolving organisational needs. You will work with partner teams to align data collection with long-term analytics and feature development goals.

We're looking for someone who writes advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code. You should be familiar with the modern data stack, including dbt and Snowflake. You should have a growth mindset and eagerness to learn. You should exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs. You should practice excellent communication skills, and you should tailor explanations of technical concepts to a variety of audiences.

Nice to have: exposure to Apache Airflow or other DAG frameworks, worked in Tableau, Looker, or similar visualization/business intelligence platform, experience with operational tools and business systems like Google Analytics, Marketo, Salesforce, Segment, or Stripe, familiarity with Python.

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You'll be instrumental in shaping architectures optimized for resource-constrained environments, ensuring seamless communication and compute across our distributed network. You will be responsible for building the team's culture, driving execution, and ensuring software quality and mission success.

A Note on This Role: This is an Engineering Manager role focused on both technical (opinionated about architecture, reliability, performance and quality, especially for low-level systems programming and distributed edge deployments) and non-technical (people, process, and project leadership).

Responsibilities

• Lead & Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.
• Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.
• Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.
• Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.
• Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.
• Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design. Assist engineers in solving complex reliability, performance, and operational issues inherent in distributed, real-time systems.
• Quality & Process Ownership: Champion best practices in software design, code reviews, testing for embedded deployments, and CI/CD processes to ensure robust, scalable, and maintainable systems that are mission-ready.
• Cross-Functional Collaboration: Work closely with technical peers and other teams to support system integration, resolve technical challenges, and continuously improve operational workflows.
• People Development: Invest in the professional growth of your team through coaching, feedback, and structured career development plans. Cultivate a “whatever it takes” mindset and promote extreme ownership.
• Operational Insight: Occasionally travel (up to 10% of the time) to work alongside teammates and observe systems in real-world operational settings, ensuring that software solutions address actual field challenges.

Requirements

• 3+ years of experience as a software engineering manager, with a proven record of building and leading high-performing teams.
• 8+ years of hands-on software development experience, demonstrating a strong technical foundation in building resilient, high-performance software for distributed edge systems, networked applications, and Embedded Linux environments.
• Demonstrated expertise in C++ or Rust (or both), with a deep understanding of systems programming principles, memory management, concurrency, and performance optimization for resource-constrained environments.
• Successful track record of delivering complex software projects under tight deadlines while managing stakeholder relationships in a matrixed organization.
• Excellent communication and leadership skills, with the ability to inspire and develop talented engineers.
• Expertise in agile development methodologies and process improvement.
• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferences

• Experience managing teams in mission-critical domains such as command and control, robotics, or defense applications.
• Familiarity with modern DevOps and CI/CD practices tailored for embedded and distributed deployments.
• Background in developing software for distributed systems, connected ecosystems and hardware integrations.
• Direct experience in IoT device management, telemetry, and secure over-the-air (OTA) update mechanisms is highly valued.
• Experience working within or closely with multi-domain operation teams.
• A deep understanding of networking, security, and system integration challenges in high-stakes environments.
• Familiarity with low-level hardware interactions, device drivers, or firmware development is a strong plus.

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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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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.

Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.

Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.

Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.

Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions.

Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.

This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office.

The position will require a hybrid working arrangement based out of our Bengaluru office.

What you’ll do

• Contribute to the design, development, and maintenance of information retrieval and distributed systems.

• Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.

• Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.

• Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.

• Ensure high availability, reliability, and fault tolerance in search services.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Develop and optimize real-time distributed systems, microservices, and message-driven architectures.

• Implement and maintain monitoring, alerting, and performance metrics for platform reliability.

• Evaluate and integrate emerging technologies to improve search capabilities.

• Write clean, modular, and well-tested code while following best engineering practices.

• Participate in code reviews to ensure quality, maintainability, and scalability.

• Provide mentorship and technical guidance to junior engineers.

Skills you’ll bring

• 4-7 years of experience in information retrieval or distributed systems engineering.

• Strong understanding of search platforms and experience maintaining search engines at scale.

• Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.

• Experience with NLP/NLU within the context of information retrieval.

• Expertise in dense vector manipulation and optimization.

• Familiarity with hybrid search, rank fusion, and reranking techniques.

• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).

• Strong understanding of distributed systems, microservices, and message-driven architectures.

• Passion for real-time performance optimization and high availability.

• Experience with API design using Swagger, OpenAPI, or equivalent tools.

• Knowledge of gRPC or equivalent RPC protocols.

• Experience with Docker and Kubernetes for containerized deployments.

• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).

• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.

• Knowledge of CI/CD frameworks and continuous delivery practices.

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Your teams will be experts in modern web technologies (React, TypeScript, HTML, CSS, JavaScript) and will partner closely with Product, Analytics, Design, and Marketing to deliver measurable, data-driven business outcomes.

You will also be leading a small pod of mobile engineers.

This role is ideal for a strong senior technical people leader who excels in metrics-driven environments, drives clarity and urgency across teams, and amplifies impact through strong systems, processes, and talent development.

You will also play a key role in leveraging AI tools and workflows to meaningfully increase engineering velocity, experimentation speed, and innovation.

This position requires a hybrid role from our Bangkok office as part of our expanding site, with 2 days a week in person.

EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ.

Our salary ranges are determined by role, level, and location.

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This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You'll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You'll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.

Responsibilities

• Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.
• Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.
• Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
• Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.
• Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.
• Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
• Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Preferred qualifications:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Track record of improving research productivity through infrastructure design or process improvements.
• Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.
• Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.
• Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).
• Contributions to open-source GPU, ML systems, or compiler optimization projects.
• Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.

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Your work will be vital in delivering a high-value premium experience, without compromising the core experience for our free users. You'll be a key driver in generating the revenue that fuels Discord's mission.

In this product engineering role, you'll collaborate cross-functionally with Product, Data Science, Design, Marketing, and other functions to create best-in-class consumer experiences. Your work will cover the full breadth of the technical stack, from backend data modeling, through business logic in APIs, to polished, user-facing interfaces.

You'll be supported by infrastructure, platform, and product teams on your mission to build the best premium Discord.

Check out some of our recent launches on Nitro, shop, boosting, user identity, and more. To learn more about Discord Engineering, take a look at our engineering blog!

What You'll Be Doing

• Build and improve premium Discord experiences such as Nitro, shop, boosting, user identity, and more.
• Own projects end to end by partnering with Product to refine requirements, create technical specs, and work closely with Design to execute and deliver best-in-class user experiences.
• Work with a team of full-stack engineers to ship new features across Web, Android, and iOS.
• Lead complex initiatives from conception to completion, thriving in ambiguous environments.
• Rapidly prototype new features and synthesize insights through experimentation.

What you should have

• 5+ years of software engineering experience.
• Full-stack proficiency.
• Product sense.
• Ownership mentality.
• Pragmatic approach.
• Performance-focused mindset.
• Growth mindset.

Bonus Points

• Experience working on teams focused on growth, particularly in revenue generation, product monetization, or user engagement systems.
• Strong track record of driving measurable impact through experimentation and data-driven decision making.
• Demonstrated success in attracting new users, driving engagement, sustaining long-term retention, and optimizing consumer-facing features.
• Experience with performance optimization at scale, particularly for consumer-facing applications.
• Interest or passion for the Discord platform.

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Responsibilities:

• Advise customers on usage of Stripe's PINless debit offering
• Design and collaborate on PINless debit experiments alongside Stripe's Data Science, and own experiment result analysis and customer facing readouts of analysis
• Serve as an internal expert on Stripe's PINLess debit offering, relaying customer feedback to Product with the goal of shaping Stripe's roadmap and strategy for PINless debit
• Work with account teams, deal pricing teams and partnership teams to manage Visa and Mastercard incentive offers, churn risks and volume win back initiatives
• Lead discussions with existing and prospective merchants, and provide the Sales team with tools and training to lead discussions with merchants and prospects.
• Serve as both an internal and merchant-facing expert on payment optimisation strategies.
• Gather and build on Stripe's wide-ranging payments expertise to create optimisation narratives/tools supported by rigorous analysis.
• Use existing tools to deploy sophisticated optimization playbooks and analyses across Stripe's customer portfolio.
• Synthesise and relay customer feedback and our findings to inform Stripe's product roadmap.
• Provide feedback on our tools and playbooks to help continuously improve our self serve offerings
• Develop optimization playbooks and stay updated on industry best practices and Stripe innovations

Requirements:

• 10+ years of experience in payments at a leading technology company, or consultancy in the payments industry.
• Deep expertise in PINless debit
• Understanding of e-commerce payments, cards based payments processing and optimization strategies, with a strong focus on PINless debit.
• Understanding of PINless debit regulations
• The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.
• A proven ability to be a self-starter capable of driving business results without significant supervision.
• Experience presenting directly to merchants
• Strong data processing, organisational and analytical skills.

Preferred qualifications:

• Experience with designing and administering A/B tests, SQL, dashboard building, modelling, or reporting
• Experience presenting to senior business leaders

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You will collaborate cross-functionally with Product, Sales, Marketing, and Finance to drive alignment around our strategies and own the ongoing refinement and optimization of those strategies to support short- and long-term business objectives.

As an individual contributor, you will work with teams across the organization to troubleshoot pricing inconsistencies and identify opportunities for operational improvement.

This position reports to our VP of Product Management and has the opportunity to be based in our San Ramon Office with a hybrid schedule.

Key Responsibilities:

• Lead the development of pricing and packaging strategies, incorporating willingness to pay, product strategy, competitive differentiation, and financial analysis to ensure our pricing models maximize customer value and optimize revenue.

• Drive alignment and lead the operationalization of your strategies across Product, Sales, Marketing, and Finance.

• Analyze sales, customer, product, and financial data to identify opportunities, design and test those hypotheses, and foster a culture of fact-based decision-making.

• Partner with Product to understand product strategy and roadmap, supporting the product requirements process with market research and pricing and packaging considerations.

• Partner with Sales to understand the sales motion, customer feedback, and value-based buying decisions to reduce friction in the sales process.

• Monitor and measure pricing strategies to evaluate growth, uncover friction, and refine strategies over time, identifying opportunities to improve current processes and infrastructure.

• Create and manage systems and processes that enable analytics of list, discounting, and “street” pricing trends, including the expected mix of direct and channel (sell-with and sell-through) sales.

• Determine pricing in the company’s sell currencies, including policy for how these international prices are adjusted for local market dynamics and foreign exchange fluctuations.

• Study potential price elasticity, including cross-price elasticity within the company’s product portfolio and versus the company’s competitors.

• Perform periodic deep analysis of competitive pricing and determine how to best optimize the company’s pricing programs to maximize street price and gross margin for Dialpad.

• Develop strategies and agreement constructs that help us address customers’ unique requirements and win agreements at the right price and at scale.

• Work with various cross-functional teams to assess, define, optimize, and scale pricing opportunities for existing and new markets.

Requirements:

• 10+ years of experience as a pricing leader at a cloud software company or top-tier consulting firm with a focus on pricing engagements.

• Experience at a fast-growth, emerging cloud software company where you were responsible for creating and maintaining pricing optimization programs.

• Deep understanding of pricing governance, sales negotiation, and monetization strategies.

• Experience at a large, public cloud software company.

• An entrepreneurial mindset to guide best-in-class pricing practices across the company.

• A proactive influencer who can seek out new opportunities, drive projects, navigate ambiguity, and develop creative solutions with minimal guidance.

• Ability to collaborate and influence across different teams in the organization.

• Bachelor of Science, Bachelor of Administration, or equivalent. An advanced degree (e.g., MBA) is a plus, but not required.

Why Join Dialpad:

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

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You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.

This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.

If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

Key Responsibilities: Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

Requirements: Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

Preferred Qualifications: Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. Willingness to travel up to approximately 10%.

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We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

As a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

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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 Senior Full Stack Engineer, you'll design, build, and maintain end-to-end web solutions , from modern UIs to backend services, APIs, and infrastructure. You'll collaborate with design, brand, marketing, and content teams to deliver seamless, performant experiences across web and mobile. You'll develop backend logic and APIs, manage data flows, and implement systems that integrate with third-party platforms.

You'll optimize website performance by applying best practices in front-end development, including lazy loading, and efficient asset management. You'll set up and manage infrastructure using tools like Vercel, AWS, Cloudfront, Terraform, and CI/CD pipelines (e.g., CircleCI). You'll implement and maintain web analytics, and support A/B testing for data-driven decisions.

You'll stay current with emerging technologies and trends to continually improve our development processes and user experience. You'll be comfortable writing backend software. We look for engineers to be able to unblock themselves end to end.

You'll build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

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As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research

• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem

• Build and scale database systems through 100x+ growth while maintaining reliability and performance

• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments

• Develop database infrastructure that serves both product and research workloads with different performance characteristics

• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation

• Optimize database performance, reliability, and cost efficiency at massive scale

• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems

• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead

• Possess deep expertise in distributed database architectures and OLTP systems at scale

• Have successfully scaled databases through massive growth at high-growth companies

• Can balance the speed of a startup environment with the reliability needs of production systems

• Excel at technical leadership and cross-functional collaboration

• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems

• Experience with Redis, Temporal, vector databases, or async job processing frameworks

• Experience building multi-cloud or hybrid cloud database solutions

• Knowledge of database orchestration and automation at scale

• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

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You are a subject matter authority in search engine optimization and an excellent communicator who is excited to evangelize and drive adoption of SEO best practices. You understand the nuances of SEO content and are able to use SEO reporting tools to formulate data-driven insights and advise marketing and non-marketing teams on how to continuously improve organic content. You are always learning and are up to speed on AI Optimization trends and tools.

Responsibilities:

• Co-create an Elastic SEO center of excellence with consistent SEO principles, standard processes, and experimentation to guide continuous search visibility and web traffic growth
• Lead the development of SEO strategy for technical elastic.co properties (i.e., Elk stack/platform content, Docs, and Labs)
• Collaborate to build annual goals and metrics with Elastic marketing analytics, technical site owners, and external agencies
• Serve as the SEO authority for new web migrations, web refreshes, redesigns, or other website improvements

SEO Research and Execution:

• Leverage SEO tools to produce in-depth keyword and prompt research and competitive analysis, search intent/behavior research, and recommendations for new technical content (topics, formats, etc.)
• Establish and scale SEO standards and compliance, including, but not limited to, on-page narrative refreshes/rewrites, metadata improvements, copy optimizations, schema markup improvements, meta tags enhancements, cross-linking, etc.
• Provide SEO training to product and engineering teams to improve search visibility for technical organic content

Measurement and Reporting:

• Conduct comprehensive technical SEO audits using our SEO tool, Botify, to identify and resolve technical issues impacting elastic.co such as crawl errors, improper canonicalization, page indexation issues, slow page speed, etc.
• Monitor search performance metrics, using Elastic dashboards and/or reports, and host monthly syncs to review and assist stakeholders optimize webpage content, improve user engagement, and identify new organic content opportunities

What You Bring:

• 5+ years of hands-on SEO experience as an SEO strategist (or similar role) in high-tech, B2B software sales, agency, and/or PLG business model
• Experience with SEO and AIO tools like SEMrush, Profound, Botify, Screaming Frog, Google Search Console (GSC), and Google Analytics (GA4)
• Strong analytical skills and experience building and integrating SEO reporting/dashboards in Looker, Google Analytics (GA4), and Botify (or similar tool)
• Project management experience driving SEO improvements (bonus points for experience using project management tools like Github, and Adobe Workfront!)
• Comfortable working on a fully distributed team around the world
• Able to take ownership and lead through ambiguity
• Bonus: SEMRush-certified or technically writing portfolio

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 $128,200-$202,900 USD. 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.

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Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. They should have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators, and be results-oriented with a bias towards flexibility and impact.

Responsibilities:

• Identify and address performance issues across multiple ML systems
• Design and optimize kernels for the TPU
• Provide feedback to researchers on model changes and their impact on performance

Requirements:

• Bachelor's degree or equivalent combination of education, training, and/or experience
• Relevant field of study
• Years of experience required will correlate with the internal job level requirements for the position

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Note: This job description is a rewritten version of the original ad, focusing on the key responsibilities, requirements, and benefits.

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You'll architect and implement our next-generation authorization infrastructure, including policy-as-code approaches, fine-grained permissions, and performance optimizations at massive scale, enabling GitLab's move toward zero-trust architecture while keeping authorization fast, secure, and correct.

You'll work closely with Security, Database, Platform, and authentication-focused teams to design and ship authorization capabilities that span GitLab's various deployment models and multi-tenant environments.

Some examples of our projects:

• Implementing fine-grained permissions for Job Tokens, Personal Access Tokens, and the GitLab Duo agent platform

• Collaborating on Auth stack initiatives that evolve how authorization works across GitLab

• Implement fine-grained permission systems for Job Tokens, Personal Access Tokens, the GitLab Duo Agent Platform, and other authentication mechanisms across the GitLab platform.

• Collaborate with Security, Authentication, Database, and Platform teams on authorization stack initiatives, aligning designs and implementation plans.

• Solve complex performance challenges in authorization, including query optimization, caching strategies, and database decomposition, with a focus on PostgreSQL.

• Design and evolve authorization systems that work across multiple deployment models and multi-tenant architectures while maintaining security and reliability.

• Drive improvements to authorization security, maintainability, and developer experience through code review, documentation, and technical leadership.

• Contribute to architectural decisions for authorization features with a long-term strategic view, balancing immediate needs with future scalability.

• Mentor and support other engineers in authorization patterns, policy-based access control, and secure coding practices in a fully remote, asynchronous environment.

• Professional experience building and maintaining production applications with Ruby on Rails or similar backend frameworks.

• Strong understanding of authorization models, including role-based access control, attribute-based access control, and fine-grained permission patterns.

• Experience designing and optimizing high-scale backend systems, including PostgreSQL performance tuning, query optimization, and effective caching strategies.

• Familiarity with or interest in policy-based authorization systems and modern policy languages such as Cedar or Rego.

• Understanding of core security principles, including threat modeling, least-privilege access, and zero-trust architectures.

• Experience working with distributed systems and service-to-service communication in a cloud or multi-tenant environment.

• Demonstrated ability to own complex technical initiatives from design through production deployment in an asynchronous, remote setting.

• Strong collaboration and communication skills, with openness to learning and applying transferable skills from adjacent domains or technologies.

We on the Authorization team at GitLab design, build, and maintain the permission systems that control access across the GitLab platform, ensuring they are secure, scalable, and flexible for customers of all sizes.

We lead the ongoing evolution of our authorization architecture, with a focus on modern policy-as-code approaches, fine-grained access control, and support for initiatives like the evolving Auth stack.

We collaborate asynchronously across time zones and partner closely with Authentication, Product Security, Database, and Security teams to align on identity, data modeling, and threat modeling needs while iterating safely on core platform capabilities.

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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As a Robotics Software Engineer, you will write and maintain core libraries and services that perform critical functions for collaborative teams of robots. You will own major feature development and rollout of large, complex features for our products. You will work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

Key responsibilities include: Writing and maintaining core libraries and services that perform critical functions for collaborative teams of robots Owning major feature development and rollout of large, complex features for our products Working closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts to align on requirements during product development and iterate towards a final design

Required qualifications include: Eligible to obtain and maintain an active U.S. Top Secret security clearance BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field Proven understanding of data structures, algorithms, concurrency, and code optimization Experience troubleshooting and analyzing remotely deployed software systems Experience working with and testing electrical and mechanical systems 3+ Years experience with C++ or Rust experience in a Linux development environment

Preferred qualifications include: MS or PhD Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics Python, Rust, and/or Go experience Experience programming for embedded and physical devices Multi-agent coordination of UAVs Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

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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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We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!

Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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You will partner with product and engineering leadership to set strategy, priorities, and mission for teams and projects. You will roll up your sleeves as needed to get involved in the technical details of solving some of the most complex technical challenges at Figma. You will establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization.

You will grow your career in an engaged and creative engineering community. Figma is committed to building an inclusive and diverse team and culture. We expect all of our leaders to play a role in helping to build and drive these initiatives through hiring, community events, and other programs in partnership with teams across all of Figma.

To be successful in this role, you will need 2+ years of experience managing and leading a high output engineering team, 5+ years of engineering experience working on complex systems with an emphasis on performance, reliability, quality, and extensibility. You will also need demonstrated leadership skills in building a high-performing and highly engaged engineering team; including a proven track record of motivating, mentoring, and guiding senior engineers.

Experience building performant animation and interaction frameworks, tooling, and foundations is a plus. Deep knowledge of runtime environments and how they operate, including game, application, or browser engines is also a plus. Experience with creative coding frameworks used for building interaction, animation, and time-based media experiences is a plus.

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We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).

Join the tvScientific team as a Sales Director, leading client relationships, driving revenue growth, and ensuring client success on our innovative platform. As a Sales Director, you’ll leverage your experience in performance marketing and digital advertising to champion the value of our product, empowering brands, companies, and agencies to achieve their advertising objectives through the power of CTV.

Day to day, you'll strategically manage named account lists (NALs) within your industry vertical to drive targeted engagement and revenue growth. Currently, we are looking for someone who's based in the NYC area.

Responsibilities

• Lead the sales process from lead generation to deal closure, focusing on complex deals.
• Specialize in the retail industry, demonstrating a deep understanding of the market and customer needs.
• Drive revenue through client engagement, effectively communicating the value proposition of our products/services and managing client relationships to support revenue growth.
• Manage increasingly ambitious quotas, exceeding sales targets and delivering measurable business outcomes.
• Spend face time with clients and prospects; our relationships with our customers are incredibly important to us.
• Drive complex deal cycles involving multiple stakeholders and vendor review processes such as legal, security, or procurement.
• Mentor more junior professionals, providing guidance, support, and knowledge sharing to drive individual and team success.
• Collaborate with internal teams, including sales, product, and support, to ensure seamless execution of client initiatives and drive customer satisfaction.
• Stay informed about industry trends, market dynamics, and competitive landscape to anticipate client needs and proactively address challenges.
• Use AI to drive smarter enterprise selling: Leverage AI tools to prioritize named accounts, tailor retail-specific pitch angles, and prep for multi-stakeholder meetings (including legal/procurement) to move complex CTV deals forward.

Requirements

• 10+ years in sales or account management in the digital advertising or performance marketing industry.
• Experience selling to enterprise brands.
• Deep understanding of the digital media and advertising landscape, with experience talking to customers and agencies about digital media, including CTV advertising.
• Experience with digital media platforms, MMPs, or supporting tools, working with major agencies.
• Able to drive a complex deal cycle involving multiple stakeholders and vendor review processes such as legal, security, or procurement.
• Clear specialization in an industry vertical (retail, brand, or leisure), with a deep understanding of the market and customer needs.
• Strong leadership skills, with the ability to mentor and develop more junior professionals and demonstrate excellence in your field.
• Exceptional communication and interpersonal skills, with the ability to build rapport, influence stakeholders, and navigate complex client relationships.
• Comfortable engaging in conversations with customers and agencies about digital media.
• AI-first sales leadership: Comfortable using AI to speed up account research, pipeline strategy, and executive-ready narratives, while validating outputs against source-of-truth internal and partner data.
• Bachelor's degree in business, marketing, or related field preferred.

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.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-LP1

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You may be a good fit for this role if you have strong distributed systems, infrastructure, or reliability backgrounds, are curious and brave, think holistically about how systems compose and where the seams are, can build lasting relationships across teams, care about users and feel ownership over outcomes, have excellent communication and collaboration skills, and bring diverse experience.

Strong candidates may also have experience operating large-scale model serving or training infrastructure, experience with one or more ML hardware accelerators, understanding of ML-specific networking optimizations, expertise in AI-specific observability tools and frameworks, experience with chaos engineering and systematic resilience testing, and contributions to open-source infrastructure or ML tooling.

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. We value impact and believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts and value communication skills.

If you're interested in this role, please submit an application even if you don't believe you meet every single qualification. We encourage diversity and strive to include a range of diverse perspectives on our team.

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As a Senior Software Engineer, you will own significant features end-to-end, tackle technical hurdles, and enrich the team through your engineering experience, including mentorship of junior engineers.

You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross-functional team, including working closely with Product Managers to advocate for technical initiatives for the team.

This position reports to our Engineering Manager, who is based in London, and is looking for someone to join the team in our London office.

Please note, this is a hybrid position with an expectation to be in the office 2-3 times per week.

Responsibilities:

• Develop and maintain Dialpad's web & desktop applications using modern technologies.

• Write clear and complete architectural design documents that other team members can easily understand.

• Provide estimates on technical resources and requirements necessary to plan and begin projects.

• Develop and maintain the WFM web application and services using modern technologies.

• Write clean, modular, and maintainable code using best practices along with unit tests.

• Participate in code reviews to ensure code quality, maintainability, and scalability.

• Ensure that features are shipped on time and with the highest quality.

• Take on-call activities to support and resolve issues arising from QA and customers.

• Be responsible for deploying new releases on a weekly release cadence.

• Collaborate with cross-functional teams to build and use standard components and practices across Dialpad products.

• Mentor junior engineers and help them grow their skills and expertise.

Requirements:

• 8+ years of experience in software engineering.

• Strong experience with Python/TypeScript or other languages, Vue/React, Node.js, HTML, CSS, JavaScript, GraphQL, and cloud infrastructures [Google Cloud Platform is a plus].

• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.

• Experience with databases, SQL/NoSQL.

• Experience with building reusable and modular components, both frontend and backend.

• Experience with mentoring junior engineers and helping them grow their skills.

• Experience with highly agile and iterative development processes.

• Strong debugging and troubleshooting skills.

• Strong communication and collaboration skills.

Why Join Dialpad:

• Work at the center of the AI transformation in business communications.

• Build and ship agentic AI products that are redefining how companies operate.

• Join a team where AI amplifies every employee’s impact.

• Competitive salary, comprehensive benefits, and real opportunities for growth.

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Your primary responsibility will be to serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.

You will collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

You will lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

You will act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.

You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.

You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

You will represent CoreWeave at conferences and industry events, with occasional travel as required.

To be successful in this role, you will need to have a proven track record of working as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.

You will also need to have fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions.

In addition, you will need to have a proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences.

Preferred qualifications include code contributions to open-source inference frameworks, experience with scripting and automation related to Kubernetes clusters and workloads, experience with building solutions across multi-cloud environments, and client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures.

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Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.

About the role:

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

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 building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

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 restrictions, or (C) otherwise exempt from the export regulations.

If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.

Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce's Export Administration Regulations (EAR) and the U.S. Department of State's International Traffic in Arms Regulations (ITAR).

By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.

If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.

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