Forge Our Leadership Playbook: Design and build a world-class arsenal of training materials that are as innovative and disruptive as we are.

Launch the Leadership Academy: Roll out a dynamic, high-impact training program that shapes every level of leadership, from new team leads to our executive team.

Be the Coach in the Arena: Provide powerful, one-on-one coaching that unlocks the full potential of our leaders and helps them navigate the battlefield of a fast-growing scale-up.

Prove the Impact: Use data to measure what's working, what's not, and constantly iterate to ensure our 'Get Shit Done' culture only gets stronger.

You'll have the space and tools to succeed, including:

Great, international colleagues who share your mindset

Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly

We support growth with bunq Academy and €1500 annual learning budget

A MacBook so you can Get Shit Done with us

Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options

An optional pension plan with monthly contribution from bunq

Private health insurance, just in case

Monthly contribution to your phone and internet bills

Friday drinks and other celebrations - bunq style

If you're a Master of Your Craft with a deep knowledge of what truly effective training looks like, and a Natural-Born Coach and a feedback Jedi, skilled at delivering live training that captivates and inspires, then join us in this rebellion.

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Your focus will be on identifying real capability gaps, creating the right solutions, rolling them out effectively, and proving through data that they work.

As a Learning & Performance Specialist, you will:

• Create, manage, and continuously improve general bunq training programs.
• Lead interactive workshops and in-person trainings focused on real behaviour change.
• Measure training effectiveness and translate insights into actionable improvements.
• Improve existing internal processes or create new ones to optimise employee performance and development.

Requirements

• You have deep knowledge of creating effective and engaging training programs by deadline.
• You know how to measure training impact and use data to improve outcomes.
• You genuinely enjoy in-person training, coaching, and working closely with people.
• You're familiar with process optimisation and like making things work better.
• You naturally take ownership and proactively close performance gaps.

Your space to perform

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

Benefits

• Join forces with great colleagues across the globe to revolutionise banking.
• Make lasting impact by working on complex & exciting challenges.
• Accelerate your career growth with bunq Academy and a 1500 EUR annual learning budget.
• Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.
• A Macbook to keep with you while you're with us.
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while travelling, combining flexibility with strong team collaboration.
• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
• Lunch and snacks at the office, vegan options included.
• Private health insurance, just in case.
• Friday drinks, team events, and other celebrations - bunq style!

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The Patient Education Manager will provide patients and caregivers disease state and product education, an overview on Alexion’s OneSource Programs throughout the patient journey. They will interact with patients/caregivers, nurses, pharmacists, ancillary staff, physicians, and advocacy/support groups to prevent and address non-clinical barriers to patient education and onboarding.

Responsibilities:

Patient Engagement (40%)

• Create and manage regional patient engagement plans including patient educational events, community engagements, and face-to-face patient interactions
• Deliver in-depth disease state and product education to inform and empower patients/caregivers as they navigate their rare disease journey
• Develop and execute comprehensive patient programming strategies that prioritise patient needs. Tailor initiatives to provide relevant education, support, and resources, optimising patient engagement and outcomes across therapeutic areas
• Share materials on the disease, diagnosis, and treatment support with patients as needed
• Educate prescribed patients and their caregivers regarding how to prepare for and what to expect during the infusion process for Alexion products, in accordance with product label utilising Alexion-approved resources
• Capture and report local business insights to enhance strategic plans and improve patient experience
• Set up and participate in events and educational initiatives for patients and caregivers on behalf of Alexion per approved policy
• Build the rare disease network/relationships through local advocacy groups, rare disease-related events, and attending patient events
• Partner with Alexion Patient Advocacy Team to drive engagement and partnership
• Proactively seek opportunities to improve processes and outcomes, embracing change and innovation to enhance patient support and results

Health Care Org Site of Care Education (including infusion sites) & REMS Support (60%)

• Execute field visits at infusion centres and focused HCOs to provide in-depth education and training on dosing and administration of Alexion products, disease state, and REMS requirements/procedures, and provide ongoing support
• Support ongoing REMS certifications of infusion sites of care
• Collaborate with non-prescribing health care staff at infusion sites to ensure understanding and compliance with REMS components, including importance of vaccination data and following REMS processes
• Maintain accurate and detailed records of field activities, including interactions with non-prescribing healthcare providers and sites of care, to ensure compliance with regulatory standards
• Support execution of ongoing compliance tactics related to all active REMS
• Support successful implementation of any new REMS or REMS enhancements
• Partner with Commercial REMS team to devise strategies to support REMS
• Partner with Commercial colleagues to ensure account engagement strategy is pulled through successfully via aligned tactics

Requirements:

• Minimum of 5 years total business experience in the healthcare or biotech industry
• BA/BS Degree is required; a nursing, allied health, healthcare administration or rare disease support background is desired (advanced degree a plus)
• Previous experience with IV infused products
• Ability to travel up to 60-80% within a territory is required; ability to travel to meetings/trainings/programs as necessary which may include evenings and weekends
• Excellent presentation skills to diverse stakeholders in varied settings that may include up to 150+ people
• Ability to work independently and manage time effectively to prioritise field activities
• Excellent communication and interpersonal skills, with the ability to effectively engage with healthcare professionals and patients
• High initiative, solid work ethic, and consistent accountability
• Demonstrated success working within cross-functional teams, including the ability to collaborate across functions in a field-based role
• Valid driver's licence and clean driving record

Preferred Qualifications:

• At least 3 years field-based experience in account management, sales, or patient education preferred
• Must be familiar with the relevant legal and regulatory components of the pharmaceutical and biotech industry, rare disease experience a plus
• Certification or training in REMS
• Strong understanding of REMS requirements and pharmaceutical regulations
• Demonstrated success working within cross-functional teams, including the ability to collaborate across functions in a field-based role
• Bi-lingual proficiency in Spanish language, both written and spoken
• Understanding of rare disease advocacy landscape
• Experience educating and supporting patients/caregivers
• Strong organisational skills and ability to adapt to change and react constructively in a high-energy and fast-paced environment
• Demonstrates initiative, teamwork, and accountability
• Spanish speaking a plus

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Your responsibilities will include:

• Developing and maintaining individual customer relationships through product presentations both on-site and remotely
• Building your own network and identifying new business opportunities
• Collecting feedback from customers and supporting the development of processes and products in collaboration with other departments
• Monitoring your activities and ensuring the achievement of monthly targets
• Taking responsibility for small projects and representing Holidu at various events

Requirements:

• High motivation and persuasion skills, both on the phone and in personal conversations
• Positive and empathetic personality that creates strong interpersonal relationships
• Solution-oriented thinking and ability to work responsibly and organized
• Optimistic attitude that tackles new challenges with enthusiasm
• Preferably, but not necessarily required: experience in sales or customer management, travel industry, or online business
• Near-native German language skills and fluent English
• Valid driver's license (Class B)

At Holidu, you will shape the future of travel with products used by millions of guests and thousands of hosts. We turn ideas into real products, data drives our decisions, and continuous improvement helps us learn faster. Your work has meaning – and you will see the difference directly.

You will grow in a culture that lives by curiosity and open feedback. Learn from our outstanding colleagues, work across disciplines, and benefit from mentoring and training – with a special focus on AI.

You will become part of a team of smart, motivated, and international colleagues who challenge and support each other. We celebrate successes and keep our culture entertaining, ambitious, and human. Our customers are guests and hosts – people who can identify with anyone – exactly what makes our work meaningful and inspiring.

You will work in a modern tech environment. Experience the speed of a scale-up combined with the stability of a proven business model that allows you to continuously develop, test, and optimize new things.

You will stay connected through regular events and meetups across our nearly 30 offices.

Of course, we offer travel discounts, fitness rebates, and other perks that keep you full of energy. What sets us apart, however, is the opportunity to grow in a dynamic industry with great people and have a lot of fun.

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Introduction: Global Clinical Solutions (GCS) delivers services and technology that enable AstraZeneca's Clinical Development programs, partnering with internal teams and external stakeholders to drive operational excellence. The Manager, GCS is responsible for coordinating and leading the delivery of GCS services across projects and initiatives to meet time and quality targets.

Key Responsibilities:

• Coordinates and delivers GCS services and coordinates life cycle management and business continuity for projects services and technology.
• Provides expert support to user communities, including conducting training on processes, systems, and tools, facilitating information exchange, establishing proven methods, and maintaining communication with relevant parties across GCS and AZ.
• Conducts critical analyses of processes and tools to define business usage and finds opportunities to improve efficiency/effectiveness of systems/services/processes whilst reducing business continuity risks.
• Contributes to and/or develops business cases for continuous improvement projects.
• Leads or manages business improvement projects according to lean principles, including planning, prioritizing, implementing and tracking delivery.
• Serves as AZ co-Project Manager for eCOA (electronic Clinical Outcome Assessment) and DPS (Digital Patient Solutions) setup, maintenance, and closure, using project tracking tools to manage timelines, costs, risks, UAT, and stakeholder updates.
• Coordinates input to eCOA/DPS user requirements (from Business Analyst and study stakeholders) based on the Clinical Study Protocol (CSP) and prior end-user experience; agrees system functionality with suppliers.
• Leads operational maintenance to keep systems aligned to the latest CSP and in a validated state; authors and manages change requests with risk assessment and ensures issues are documented and addressed.
• Establishes UAT approach for setup and maintenance; requests UAT resources; consults on test scripts, plans, reports, and change closure documentation.
• Supports the implementation of changes to improve the way various functions and teams perform.
• Evaluates and monitors the performance and efficiency of programs to ensure that program implementation is on target.
• Responsible for training colleagues to use continuous improvement in the new ways of working and embed change culture.
• Grows capabilities, applies new approaches to improve work and has positive impact on team performance creating learning opportunity for others.
• Responsible for knowledge management of continuous improvement activities and ensuring that the knowledge is used in the selection and execution of future activities.

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The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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Responsibilities: Assist with the initial vetting and ongoing review of portfolio management teams against our Algorithmic Trading Policy Monitor regulatory changes, updates and industry-wide compliance initiatives Conduct ongoing analyses to enhance our global Quantitative Trading Compliance program Assist with regulatory examinations, inquiries, investigations and projects Assist with drafting and amending compliance related policies and procedures Prepare and conduct compliance trainings

Qualifications: 3+ years of experience Experience at a regulatory authority, bank/broker or buy-side firm Experience with addressing algorithmic/systematic trading matters is preferred Bachelor’s degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred An understanding of global financial markets, including market structure, is preferred General understanding of Artificial Intelligence, including current regulatory focus areas Strong analytical / conceptual problem-solving skills with attention to detail Strong sense of ownership and personal responsibility Ability to prioritize, multi-task, and manage deadlines while successfully completing assignments Strong written and verbal communication skills Ability to create presentation materials for senior management Proficient in Microsoft PowerPoint and Excel Good team player with a strong willingness to participate and help others

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future.

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This role partners with stakeholders to translate business needs into scalable Workday solutions and drive continuous process improvement.

Responsibilities

• Configure and maintain Workday Payroll (earnings, deductions, tax elections, pay groups, payroll inputs, and validations) to ensure efficient payroll processing.
• Configure and support Workday HCM, Benefits, Time Tracking, and Absence, including business processes, condition rules, eligibility rules, notifications, and security roles.
• Own end-to-end payroll-related workflows in Workday, partnering with Payroll to reconcile results, troubleshoot issues, and ensure compliance with applicable regulations.
• Support and coordinate Workday releases and new feature enablements: review release notes, assess impact, configure updates, and manage testing and sign-off.
• Build and maintain Workday reports and calculated fields across supported modules
• Serve as a Workday subject matter expert and escalation point for stakeholders; provide guidance on best practices and recommend process and configuration improvements.
• Develop and maintain documentation (process flows, SOPs, job aids) and deliver training to end users to enhance adoption and effective use of Workday.

Qualifications

• 5+ years of hands-on Workday experience, with significant configuration and support experience in Workday Payroll.
• Experience supporting multi-state or multi-jurisdiction payroll environments preferred.
• Experience in the financial services industry is a strong plus.

Technical Skills

• Strong Workday Payroll configuration skills (earnings/deductions, taxes, pay groups, payroll processing and auditing).
• Experience configuring and supporting Workday HCM and at least two of: Payroll, Benefits, Learning, Talent, Time Tracking & Absence.
• Proven experience with business processes, security groups, calculated fields, and advanced reporting
• Experience with EIBs and vendor integrations (especially payroll and benefits related) strongly preferred.

Soft Skills

• Strong analytical and problem-solving skills; high attention to detail and data quality.
• Excellent communication skills, with the ability to explain complex payroll and system concepts to non-technical stakeholders.
• Ability to manage multiple priorities, meet deadlines, and work collaboratively in a fast-paced environment.

Preferred Qualifications

• Workday Pro certification or relevant Workday Payroll training.
• Prior experience in a financial services organisation using Workday.
• Participation in at least one Workday implementation or major enhancement project involving Payroll.

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The Specialist, Global Clinical Solutions (IRT Lead) provides global centralized services across drug projects and related activities, helping clinical development programs meet time, cost, and quality expectations across all delivery models.

Key Responsibilities

• Deliver GCS services that support clinical development activities across multiple projects and stakeholders.
• Set up and maintain systems, tools, and data associated with projects, services, and technology in partnership with Study Teams and external partners, ensuring appropriate standards, completeness, quality, and consistency.
• Support life cycle management and business continuity for operational processes, procedures, systems, tools, standards, procedural documentation, and training materials.
• Provide support to user communities by conducting relevant process, system, and tool trainings, facilitating knowledge sharing, establishing best practice, and maintaining effective communication with stakeholders across GCS and AstraZeneca.
• Perform analyses of processes and tools to define business usage and identify opportunities to improve efficiency and effectiveness of systems, methods, and processes; support the development of User Requirement Specifications and User Acceptance Tests.
• Contribute to business cases for continuous improvement projects that enhance how we deliver clinical studies.
• Prioritize workload effectively to achieve personal and work unit targets in a dynamic environment.
• Participate in change initiatives that evolve our ways of working and enable better outcomes for patients.

Essential Skills and Experience

• Bachelor's degree with 0+ years of work experience in the pharmaceutical industry or in clinical study delivery/clinical development processes.
• Proven organizational and analytical skills, as well as proven ability to multitask.
• Strong time management skills and task-oriented performance.
• Previous administrative training/experience.
• Computer proficiency.
• Excellent knowledge of spoken and written English.
• Strong communication skills.

Desirable Skills and Experience

• A good understanding of the clinical study process.
• Programming experience or programming aptitude.
• Knowledge of pharmaceutical drug development and clinical study processes and associated government regulations, ICH GCP.
• Shown willingness and ability to train others on study support processes and procedures.
• Demonstrate the ability to proactively identify risks and issues as well as possible solutions.
• GxP trained.

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As a Medical Director, Early Clinical Development, Oncology, you will have a clinical background and be driven by science and the desire to develop novel therapies for cancer patients. You will possess a proficiency in the drug development process, particularly early phase clinical trials, protocol writing and study conduct, data review and reconciliation, and what it takes to lead teams successfully.

This position offers the opportunity for growth and development while working in a vibrant environment. AstraZeneca is in a period of tremendous growth and acceleration in the oncology portfolio. This is a fast-paced and dynamic work environment where, with growing levels of responsibility.

Typical responsibilities may include:

• Providing long-range clinical planning in early clinical trial development, planning and managing of clinical research projects and clinical development programs in oncology.
• Serving as the Project Medical Monitor while working in a cross functional environment with representatives from other involved line functions as well as Late-Stage Development.
• Contributing to and supporting Department/Clinical initiatives to improve the quality and content of all clinical programs as well as the cross functional/organization processes designed to effectively deliver our R&D portfolio.
• Establishing and approving scientific methods for design and implementation of applicable clinical protocols, data collection systems, and final reports;
• Playing a role in designing clinical development plans and overall strategy for compounds, therapeutic classes of compounds or indications in light of developments in the area of clinical and pharmaceutical oncology;
• Participating in identification, selection and conduct of negotiations with clinical research centers and investigators;
• Participating in the selection and management activities of CROs;
• Supervising project team members in planning, conducting and evaluating clinical trials;
• Leading all aspects of planning and management of investigator meetings, advisory boards and other scientific committees.

Essential Requirements:

• M.D degree or equivalent.
• Strong preference for individuals with clinical training in oncology or hemato-oncology.
• At least 3 years of experience in clinical research and/or oncology drug development in pharmaceutical, academic or CRO environment.

Preferred Requirements:

• PhD in a relevant research area is preferred.
• Significant experience in the pharmaceutical/life sciences industry in a function aligned to clinical development and early or late stage clinical trials.
• Medical specialty and sub-specialty training and Board Certification.
• Excellent oral and written skills, strong interpersonal and listening skills with a focus on results and sound outcomes.
• Proven leadership skills and demonstrated ability to interact collaboratively in a cross-functional environment.
• High level of emotional intelligence; able to deal with ambiguity.
• Able to relate to varied level audiences across the organization; able to set priorities for team and maintain accountability; skillful in negotiating organizational boundaries and hierarchy; able to build effective teams.
• Experience in molecular oncology and/or translational science.

The annual base pay for this position ranges from $249,827 to $374,740.

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In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

The ideal candidate excels at adapting their communication style to suit different audiences, and is passionate about teaching and empowering others.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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Location: Gaithersburg, MD (US) - This is a hybrid role, onsite requirement

Welcome to the Oncology Business Unit at AstraZeneca! This is the place to build a world-class career in a dedicated Oncology unit. Here, we are always looking to learn more, welcoming the varied opportunities to expand our horizons or develop niche expertise. Embrace the unparalleled access to industry-leading research, technology, and pipeline product launches with a footprint in every region. Coupled with our agility and sharp focus on talent development, there is an exciting opportunity to accelerate a rewarding and meaningful career.

Accountabilities:

As the Medical Lead, you will be responsible for leading Medical Affairs activities in Hematology Oncology Franchise and providing medical leadership to the Core Medical Team (CMT). You will be responsible for developing the medical strategy and deliver de medical plan (IMAP), connecting multi-channel insights with product development and launch timeline. You will ensure the medical accuracy and fair balance of medical information in promotional material and learning materials for both internal and external use. You will interact with leaders of groups identified as strategic partners, including advocacy, payer, and provider groups. You will also provide medical input into the safety profile of the product in collaboration with Patient Safety (PS) physicians and collaborate with the Medical Science Liaisons and work closely with National Clinical Account Managers to appropriately support key accounts.

Essential Skills/Experience:

• A Doctorate in Medicine (M.D, D.O), PhD or PharmD degree plus proven experience and active license.
• A minimum of 5+ years of related work experience in industry, clinical or research institution, preferably in onco-hematology, solid tumors, or related experiences
• 1-3 years in HQ Medical Affairs role
• Expert technical depth in disease area – Hematology/Oncology
• Thorough understanding of drug development and pharmaceutical market support and in-depth knowledge of Hematology/Oncology (clinical evidence and real-world patient management)
• Strong leadership with a proven track record of change and impact
• Strong business acumen skills and experience with financial management
• Experience in supporting brands or disease area levels in-country, regional, or global organisations is preferred
• Proven ability to interact productively with both commercial and scientific/medical colleagues, with ability to engage and influence senior stakeholders and work collaboratively in cross-functional teams
• Ability to travel nationally and internationally. Travel will be, as appropriate, up to ~30% of the time
• Excellent written and oral communication, interpersonal, negotiation and presentation skills

Desirable Skills/Experience:

• Additional training such as an M.P.H., M.B.A., or other advanced degree
• Product Launch Experience and FDA requirements
• Experience working in US market
• Experience with the clinical management of leukemia disease areas such as chronic lymphocytic leukemia (CLL)
• Experience in evidence generation planning and clinical trial design
• Experience in a strategy-setting role within Medical Affairs and navigating sophisticated business challenges
• Experience in developing and maintaining a network that includes third-party expert
• Background in practicing medicine, clinical research, and familiarity with biostatistics, epidemiology and health outcomes
• Knowledge of relevant Professional Societies and Scientific Medical Experts.
• Line management (People leadership) with demonstrated coaching and mentoring experience

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca?

In Medical Affairs at AstraZeneca, we change the practice of medicine and improve the patient experience by generating and communicating compelling medical evidence. We translate the wealth of medical and scientific expertise to ensure the data we produce helps physicians to better treat patients at every point in the journey. We are proud to work on the cutting-edge with one of the broadest and deepest Oncology pipelines in the business. Help to advance our pipeline by applying scientific expertise and accelerating our pathway to finding a cure.

Ready to make a difference? Apply today and join us in our mission to redefine cancer treatment and eliminate cancer as a cause of death

The annual base pay (or hourly rate of compensation) for this position ranges $193,281.60 - $289,922.40 USD. Our positions offer eligibility for various incentives,an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted 13-Apr-2026

Closing Date 14-May-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

• Refine and iterate training content based on feedback to ensure continuous improvement and relevance.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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As a Compliance Analyst on our team, you will have the opportunity to provide both high-level analysis and day-to-day support in connection with the Firm's compliance programme. The role demands an ability to multi-task, work within a team as well as independently, and communicate effectively with business groups. It requires an individual who understands the necessity for confidentiality and professionalism at all times.

Responsibilities:

Assist in the Firm's global compliance programme, records, and systems, which include regulatory filings, examinations, investigations, regulatory inquiries, audits, and inspections Manage the Firm's code of ethics/personal trading policies utilising compliance software Liaise with employees to ensure all necessary personal trading information is provided to the Firm to enable trade monitoring in accordance with regulatory requirements Work on the personal trading programme including personal trade disclosures, pre-approval requests and reconciliation Coordinate the Firm's compliance certification programme Help with preparation, delivery, and tracking of relevant compliance trainings Facilitate the development of controls and system enhancements to improve the Firm's compliance programme Aid with the internal compliance projects, such as preparing metrics of department projects and trend analysis Undertake ad-hoc compliance-related projects, as assigned

Qualifications:

1+ years' experience in financial services control functions, ideally Hedge Fund and Private Equity regulatory compliance experience or accounting, investor services, policy, audit or similar process-driven and detail-oriented experience in financial services Bachelor's degree from an accredited university or college with a strong academic record Strong attention to detail and organisation skills, possess the ability to spot issues, and respond timely Outstanding verbal and written communication skills, with poise and confidence to interact with internal clients at all levels Ability to prioritise in a fast-paced, high-pressure, constantly evolving environment with high urgency and ownership Ability to learn and develop ownership of systems

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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The successful candidate will be responsible for developing and delivering a comprehensive strategic training plan and learning journey for Customer Squads overall and individually, according to role and customer need. They will design, facilitate, and measure knowledge and will be accountable for the results of the training plan.

Key responsibilities include operating in a lead capacity, mentoring, and coaching other members of the organization, developing and delivering comprehensive strategic training plans, and driving the continued deployment and consistent application of the Competency Model to relevant stakeholders within the Customer Squads.

The ideal candidate will possess a Bachelor's Degree in business, marketing, or a relevant discipline, with applicable adult learning/sales training experience. They should have demonstrated knowledge of Bayer's Radiology business, strong coaching skills, and the ability to work under pressure to meet short timeframes.

Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The salary range for this position is between $125,000 to $187,500.

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Key responsibilities include driving demand, providing clinical education/training, and achieving territory sales objectives by developing, coordinating, and executing a strategic business plan for key customers in both the contracted account and community settings.

The successful candidate will have a strong background in sales, with experience in contract negotiations, strategy, and relationship management. They will also have excellent verbal and written communication, problem-solving, and interpersonal skills.

This is a full-time position that requires up to 50% travel. The salary range for this role is $112,000 - $168,000, with additional compensation including a bonus or commission (if relevant).

Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now.

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Job Introduction: Supporting Corporate Banking Relationship Managers on a portfolio of corporate accounts. Providing support to the Relationship Management team on client management and business development activities, client servicing, administration & operational support, coordination with internal & external stakeholders.

Principal Responsibilities: Liaise with and help coordinate activities of the client service team (across products) in order to ensure a coordinated approach to enhancing the overall client relationship. Act as a point of contact for clients and internal HSBC colleagues, and effectively manage day-to-day requirements of the portfolio, along with the Relationship Manager. Establish strong relationships with key individuals in clients’ management teams. Work closely with Business Credit Officers (BCOs) and ensure credit applications (including both renewals and new money applications) and prepared and submitted on time. Handle any credit related queries along with the BCOs. Prepare internal approvals required for maintaining ongoing client relationships and specific transactions (including Customer Due Diligence, Pricing approvals, Credit, senior management and other internal approvals). Assist the Relationship Manager in negotiation of transaction-specific documentation. Assist in the development and maintain individual client plans in conjunction with the Relationship Manager. Understand and ensure compliance with all relevant internal and external rules, regulations and procedures that apply to the conduct of the business in which the jobholder is involved. Responsible for AML, Customer Due Diligence and other regulatory related responsibilities associated with Relationship Management.

Requirements: Minimum Graduation or as required for the role, whichever is higher. Mandatory to successfully complete Anti-Money Laundering and Sanctions training and post-course assessment, as required.

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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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In this role, you'll facilitate core IBP forums, collaborate across teams, and use advanced planning tools to strengthen accuracy and decision-making.

Key responsibilities include:

• Supporting the department to continue the development, implementation, and continuous improvement of the IBP process
• Facilitating monthly and quarterly IBP meetings to review, challenge, and validate integrated plans
• Ensuring alignment between demand & financial plans across the business

You'll also act as a liaison between the different IBP forums, fostering collaboration to synchronize plans and actions, work closely with senior leadership to align strategic objectives with operational capabilities, and drive consensus among stakeholders to resolve conflicts and achieve integrated plans.

Additionally, you'll transcribe the monthly demand forecast and create rolling supply plans on a monthly basis, develop scenario planning and sensitivity analyses to support decision-making, monitor performance against plans and provide insights and recommendations for course corrections.

You'll utilize advanced analytics (Anaplan/BI) to enhance planning accuracy and decision-making, ensure the availability and accuracy of data for IBP processes, leveraging digital tools and technologies, and develop and maintain IBP metrics and KPIs to measure effectiveness and drive continuous improvement.

As a champion of the IBP governance, you'll embed the IBP culture and practices across the organization, enabling timely & effective decision making, develop training programs and materials to educate teams on IBP processes and tools, and lead by example, demonstrating best practices in integrated planning and execution.

You'll identify and mitigate risks associated with business planning and execution, develop contingency plans to address potential disruptions in supply, demand, or operational capabilities, and stay abreast of industry trends and best practices in IBP and related fields.

Finally, you'll implement innovative solutions to enhance the efficiency and effectiveness of the IBP process, foster a culture of continuous improvement and operational excellence, and contribute to the growth and success of Oatly NA.

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As a Quality Engineer at Oatly, you will drive and coordinate quality and food safety work at the Vlissingen site, ensuring compliance with food legislation, BRC and internal Oatly standards.

The role includes close collaboration with AMC and other co-packers, where you are Oatly's main quality interface. You follow up deviations, drive corrective actions and support quality improvements across the supply chain. You also work hands-on with daily quality activities, quality data and training, turning insights into tangible improvements in quality and food safety.

Key Responsibilities:

• Driving quality and food safety compliance at site and across the interface with AMC and other co-packers
• Acting as the quality link between Oatly and external production partners
• Identifying, analyzing, and resolving quality deviations and non-conformities
• Performing structured root cause analysis and ensuring effective corrective and preventive actions
• Analyzing quality losses, trends, and recurring issues using data from production, LIMS, and ERP systems
• Actively contributing to optimization and continuous improvement projects, with focus on quality robustness, food safety, waste reduction, and process stability
• Supporting OPEX and cross-functional initiatives with quality and process expertise
• Uses LIMS to review, interpret, and trend laboratory results
• Develops, maintains, and follows up quality documentation at site
• Trains and coaches operators and staff in HACCP, hygiene, quality standards, and process-related quality risks
• Supports basic understanding and assessment of CIP systems, hygienic design, and cleaning/processing validation

Who You Are:

To be successful in this role, you have a solid background in food manufacturing and hands-on quality work, and you feel at home in a production environment where you move naturally between day-to-day operations and more long-term quality topics.

You are curious and not afraid to ask questions to understand what is really happening. You help create a culture where people speak up, report issues and learn from failures – focusing on fixing problems rather than placing blame. At the same time, you are confident in your role as a guardian of compliance and food safety. You communicate clearly, can say no when needed, and do not allow unclear messaging when it comes to quality. You stay flexible, adapt to changing priorities and are always open to learning.

Must-haves for the role:

• Bachelor's degree in engineering (preferably food, chemical or similar)
• Experience working with food or pharmaceutical quality systems
• Strong, hands-on experience with HACCP and GFSI standards (e.g. BRC)
• Solid understanding of food manufacturing processes and quality risks
• Proven ability to analyze deviations and non-conformities using structured root cause analysis
• Data-driven mindset, with experience working with quality data, lab results and trend analysis
• Strong communication skills and the ability to train and educate colleagues in quality and food safety
• Dutch and English, very good verbal and written level

Benefits:

• 30 days holiday (plus bank holidays)
• An awesome office (with amazing cappuccinos)
• Cost-free pension plan
• Bike plan
• Vitality allowance
• Corporate benefits
• Tools to maintain mental and physical wellbeing

Last day of application: 28th of May, 2026.

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You will play a critical role in shaping Anthropic's approach to trade compliance as we scale, advising on the development of robust compliance programs that support our mission to develop AI systems that are safe, beneficial, and understandable.

Responsibilities:

• Provide legal counsel on U.S. and international sanctions and export control laws and regulations, including OFAC sanctions programs, the Export Administration Regulations (EAR), the International Traffic in Arms Regulations (ITAR), and other applicable trade control regimes

• Advise on the application of sanctions and export controls to Anthropic's products, services, business operations, and commercial transactions

• Support the development and maturation of Anthropic's sanctions and export controls compliance programs, including policies, procedures, and controls

• Partner with Integrity, Compliance, Security, Finance, People, and Operations teams to implement scalable trade compliance solutions as the company grows

• Advise on sanctions and export control considerations in customer and third-party transactions, including contract negotiations and due diligence

• Support customer-facing teams in addressing trade compliance queries from commercial partners and enterprise customers

• Monitor legal and regulatory developments in sanctions and export controls, and advise leadership on their implications for Anthropic's business

• Manage engagement and communications with relevant government agencies, including BIS, OFAC, and other authorities as needed

• Support internal investigations and voluntary disclosures relating to potential trade compliance matters

• Develop and deliver training to employees on sanctions and export control requirements

• Advise on the intersection of trade compliance and national security law in coordination with Anthropic’s national security legal counsel, including on matters where sanctions or export control considerations overlap with broader security concerns relating to frontier AI

You may be a good fit if you have:

• A JD and active membership in at least one U.S. state bar

• At least 10-12 years of experience advising on U.S. sanctions and export control laws, with a strong understanding of OFAC sanctions programs, the EAR, and related regulatory frameworks

• Experience advising technology companies on trade compliance matters, particularly in areas such as cloud computing, AI, semiconductors, or other emerging technologies subject to U.S. export controls

• Experience building or maturing trade compliance programs in a high-growth or scaling environment

• Ability to provide practical, business-oriented legal advice in a fast-paced environment, including in areas without established precedent

• Experience engaging with government authorities such as BIS, OFAC, and DDTC, including on licensing, interpretive guidance, or enforcement matters

• Ability to excel at cross-functional collaboration and effectively communicate complex legal concepts to technical, compliance, and business teams

• Comfort with ambiguity and sound judgment in novel or evolving regulatory areas

• Passion about responsible AI development and Anthropic's mission

Strong candidates may have:

• A mix of law firm and in-house experience

• Experience at a hyper-scaling tech company or in a fast-paced environment

• Familiarity with non-U.S. export control and sanctions regimes (e.g., EU, UK)

• Experience at or working with closely with OFAC, BIS, DDTC, or other government agencies responsible for administering trade controls

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As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, defining the research roadmap and driving execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Ideal candidates will have:

• 5+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams, mentoring, coaching, and developing talent
• Excellent written and verbal communication skills, articulating research ideas and outcomes to technical and non-technical stakeholders

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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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You will lead the content and social strategy for Scale Labs' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.

You will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.

You will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you'd have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.

You should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.

Nice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.

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Key Responsibilities:

• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.

Ideal Candidate:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer-facing role.

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 work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimising the platform to enable our next generation LLM training, inference and data curation.

Key responsibilities include:

• Building, profiling and optimising our training and inference framework.
• Collaborating with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Researching and integrating state-of-the-art technologies to optimise our ML system.

The ideal candidate will have:

• Passionate about system optimisation.
• Experience with multi-node LLM training and inference.
• Experience with developing large-scale distributed ML systems.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.

Nice to haves include demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

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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Your mission is threefold:

• Frontier Research & Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
• Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
• Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.

You will:

• Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.
• Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
• Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
• Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
• Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
• Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.

Ideally, you’d have:

• Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
• Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
• Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
• Safety Expertise: Experience in alignment, robustness, or interpretability research.

Nice to haves:

• Experience with large-scale distributed training on massive clusters.
• Experience in building agentic systems that are reliable.
• Experience in Sovereign AI or working with highly regulated data environments.
• A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.

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This is a highly specialized role sitting at the intersection of model behaviour and product quality. You'll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you're the person making sure Claude Code feels right within days , not weeks.

You'll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.

This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You'll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.

Responsibilities:

• Own Claude Code's system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned
• Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks
• Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams
• Scale prompting and evaluation best practices across claude code and product teams.
• Deliver product evaluations focused on model behaviours
• Define and streamline processes for rolling out prompt changes, including launch criteria and review practices
• Create model-specific prompt guides that document quirks and optimal prompting strategies for each release
• Collaborate with product teams to translate feature requirements into effective prompts

You may be a good fit if you:

• Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations
• Thrive in high-intensity environments with fast iteration cycles
• Take full ownership of problems and drive them to completion independently
• Are skilled at creating and maintaining behavioural evaluations
• Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes
• Are an experienced coder comfortable working in Python and Typescript
• Have independently driven changes through production systems with strong execution and responsiveness
• Have experience translating user feedback and product needs into coherent prompts and behavioural specifications
• Excel at working across organisational boundaries, collaborating effectively with teams that have differing goals and perspectives
• Have experience translating user feedback and behavioural observations into coherent prompt changes and specifications
• Care deeply about AI safety and making Claude a healthy alternative in the AI landscape

Annual compensation range for this role is $300,000-$405,000 USD.

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The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.

In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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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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Key responsibilities include creating and driving engineering agendas to advance multimodal capabilities, improving data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, designing evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence, implementing efficient algorithms for state-of-the-art model performance, and developing scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.

The ideal candidate will have a track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling, experience in data-driven experiment designs, systematic analysis, and iterative model debugging, experience developing or working with large-scale distributed machine learning systems, and ability to deliver optimal end-to-end user experiences.

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As a Staff+ Software Engineer, you will independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

Our team is responsible for Platform Acceleration, Service Infra, Multicloud, Auth & Identity, and Connectivity. We work on maximising developer productivity of product engineers at Anthropic, building and maintaining the core infrastructure that powers Anthropic's engineering organisation, operating across multiple cloud providers, and powering identity and authentication across Anthropic's product suite.

You will work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API.

Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

We are looking for someone with 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level. You should have led the design and delivery of complex, consumer or B2B user-facing products across the full stack, and take a product-focused approach to building solutions that are robust, scalable, and easy to use.

Strong candidates may also have served as a technical lead or architect for a foundational platform system, owning both the technical vision and execution end-to-end, or experience designing or scaling billing, payments, or financial infrastructure at high transaction volumes.

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This role is for an attorney in the commercial legal space with a client-first mindset and experience working closely with sales and procurement teams in a world-class commercial legal function in support of Dropbox's business goals. You'll be part of a team of attorneys and professionals responsible for drafting, reviewing, and negotiating a high volume of complex commercial contracts with Dropbox vendors, customers, and other business partners around the world.

Responsibilities:

• Engage personally in complex sales and procurement deals and work collaboratively with various company teams to implement company initiatives.
• Work with cross-functional business teams to implement innovative strategies to increase the efficiency and effectiveness of delivering commercial legal support to Dropbox's business.
• Be an active and trusted leader, problem solver, and innovator to key stakeholders across the company.
• Develop and refine team playbooks, fallback guides, cross-functional resource documents, and training materials.

Requirements:

• Minimum of 2+ years as a practicing commercial attorney, including substantive experience in drafting and negotiating complex commercial agreements, including SaaS, licensing, technology, equipment, and marketing agreements.
• Has experience managing and interacting directly with clients and opposing counsel, has robust experience drafting and negotiating contracts themselves.
• Ability to translate complex legal issues into clear and simple guidance, and to partner effectively across all levels of the company.
• Passion for client service and efficiency.
• High integrity, strong ethics, and an unflappable demeanor.
• Self-starter, eagerness to learn both substantive law, negotiation skills and team policies and procedures.
• J.D. with strong academic credentials and demonstrated record of success as a lawyer.
• Member in good standing of bar and (if applicable) in-house counsel registration.
• Desire or experience to work in a virtual first environment, demonstrated initiative qualities.

Preferred Qualifications:

• Experience as a commercial attorney in a law firm setting, with at least 1+ year of experience as an in-house attorney at a technology company.
• Demonstrated ability to handle multiple types of cross-functional commercial matters, including customer-facing agreements, M&A integration and support, and commercial disputes.
• Expertise in data privacy law (e.g., CIPP certification), AI rules and regulations, and intellectual property.
• Experience with developing and refining team playbooks, fallback guides, cross-functional resource documents, and training materials.
• Experience partnering with globally distributed in-house business teams, particularly at SaaS companies to handle a high volume of complex commercial transactions.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Partner Enablement team at Okta is responsible for equipping our Field Team and Partners with the knowledge, tools, and resources needed to succeed. We create, deliver, and manage training programs that drive understanding and adoption of Okta’s innovative identity and access management solutions. Our mission is to empower every learner to maximise the value of Okta’s platform and services.

The Service Delivery Trainer Opportunity

Reporting to the Manager, GSI Enablement, this role will develop and deliver training programs to ensure seamless deployment and adoption of Okta solutions. The Service Delivery Trainer will leverage their technical enablement and deployment experience to provide our customers and partners with best-in-class training, enabling them to deploy Okta successfully.

What You’ll Be Doing

• Delivering technical training sessions to GSI partners focused on deploying and managing Okta solutions.
• Designing, developing, and maintaining training materials, including presentations, hands-on labs, and virtual learning modules.
• Collaborating with cross-functional teams to ensure training aligns with product updates and best practices.
• Partnering with deployment teams to understand challenges and create targeted training programs to address skill gaps.
• Gathering feedback from learners to continuously improve training effectiveness and content quality.
• Managing logistics for training sessions, including scheduling, registration, and follow-up communications.

What You’ll Bring to the Role & What We’re Looking For

• 5+ years of experience in technical enablement or training, preferably with a focus on SaaS or identity solutions.
• Hands-on experience deploying Okta or similar identity management solutions.
• Proven ability to design and deliver engaging, technically complex training programs to diverse audiences.
• Excellent communication and presentation skills with a knack for making technical topics accessible.
• Strong collaboration skills and the ability to work across multiple teams and functions.
• Familiarity with instructional design principles and adult learning methodologies.

Additional Experience That We Value

• Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional).
• Experience with deployment tools and methodologies.
• Proficiency with virtual training platforms and e-learning development tools.
• Background in managing customer or partner onboarding programs.
• Experience working with global teams and scaling training programs internationally.

#LI-Hybrid

#P22580

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.

To succeed in this role, you'll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.

In addition to your technical expertise, you'll need strong written and verbal communication skills to operate in a cross-functional team.

This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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Sales Enablement Manager

Department

Sales

Job Description

Join Brex, the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. Our platform combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

By joining Brex, you'll be part of a team that's pushing the limits of what's possible in finance. We're committed to building a diverse team and inclusive culture, and we believe your potential should only be limited by how big you can dream.

Post-Sales at Brex

The Post-Sales team is the driving factor behind revenue retention and growth for Brex. Every member of our team is a customer champion, ensuring our base sees the full value of the Brex platform, while directly affecting our bottom line.

We focus on generating new upsell opportunities, mitigating churn, and expanding usage over long time horizons. We have a unified culture recognizing big wins daily and celebrating individual accomplishments weekly and monthly.

Position Overview

The Post Sales Enablement Manager drives customer revenue team effectiveness by developing and implementing strategic programs, training initiatives, and content resources. This role bridges Post-Sales, Marketing, Revenue Operations, and Product teams to optimize the sales process and accelerate revenue growth.

Key Responsibilities

• Design and execute comprehensive sales training programs for new and existing post sales representatives
• Create and maintain sales enablement content including playbooks, battle cards, competitive plays, and customer-facing assets
• Develop and track metrics to measure the effectiveness of enablement programs
• Partner cross-functionally with PMM, Marketing, and Product to align on priorities and consistent messaging to the field, and ensure Sales is well equipped to successfully sell new product releases
• Lead onboarding programs for new post sales hires
• Regularly conduct field reviews (i.e. QBRs with sales leadership, 1:1's with sales reps), and provide ongoing targeted coaching / reinforcement trainings to specific sales reps / teams /managers based on those reviews

Required Qualifications

• 4+ years of experience in sales enablement, sales operations, or related field
• Proven track record of developing successful sales training programs
• Experience with Salesforce, Gong, LMS, and other enablement tools
• Excellent project management and communication skills
• Strong problem-solver, and exhibit daily commitment to excellence

Preferred Qualifications

• Forward thinking about how AI will change the way Enablement (and sales) operates
• Have sold to and/or enabled sellers who primarily sold to finance/accounting teams
• Operated within a larger MEDDIC GTM organization
• An intermediate understanding of B2B payments & general risk management
• Strong understanding of sales methodologies and best practices

Compensation

The expected salary range for this role is $117,600 to $147,000. Starting base pay will depend on factors including location, skills, experience, market demand, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be included as part of the total compensation package.

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You'll roll up your sleeves from day one and jump right in, both crafting plans and strategies, while also owning the tactical responsibilities of the job yourself. You'll partner with a variety of individuals, including our Testing and Evaluation, Technical Operations, Manufacturing, and Facilities teams, working to craft cross-functional improvements to our operations. You will serve as the primary EHS resource to our Testing and Evaluation teams.

Responsibilities:

• Lead day-to-day EHS operations and process management at all Test Sites (Texas, California, Oregon, Washington and Nevada)
• Design and create policies for employees to follow that minimize job-related hazards in our field testing and deployment environments in concert with site leadership
• Develop and conduct safety training according to appropriate regulations
• Develop and maintain strong communication (both written and verbal) from the field back to the EHS team for further SOPs and curriculum development
• Site compliance with federal, state, local, and landowner regulations
• Conduct safety audits at sites and build improvements
• Maintain, develop or implement site-specific environmental policies which include but are not limited to:
• Hazardous and non-hazardous waste management
• Air permitting
• Spill prevention/response
• Storm water management
• Waste water
• Incident and injury response
• Coordinating with and serving as the main point of contact for local regulatory agencies

Requirements:

• Bachelor's degree and 5+ years or 8+ years of related experience in manufacturing/assembling, R&D operations is required.
• You have experience with Federal and State OSHSA regulations, and the ability to monitor and interpret new regulations.
• You understand the materials we use and implement handling policies based on regulations and best practices like range safety, laser safety, battery handling and disposal, etc.
• You have a strong attention to detail and an attitude of 100% compliance with all company and regulatory requirements.
• You are a strong independent worker who can drive outcomes with minimal oversight.
• You are skilled in developing and maintaining excellent working relationships with internal teams, customers, and business units.
• You are extremely organized, proactive, responsive, and upbeat with strong organizational skills.
• You're both high ownership and low ego, approaching everything with strong outcome orientation and high humility.
• Advanced use of MS Word, Excel, Slack, Outlook; other productivity tools.
• 50% travel will be required (domestic)
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities.

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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.

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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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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As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimize hallucinations and enhance truthfulness in language models.

Your work will focus on creating robust systems that are accurate and reflect their true levels of confidence across all domains, and that work to avoid being deceptive or misleading.

Your work will be critical for ensuring our models maintain high standards of accuracy and honesty across diverse domains.

Responsibilities

• Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model’s knowledge

• Develop specialized classifiers to detect potential hallucinations or miscalibrated claims made by the model

• Create and maintain comprehensive honesty benchmarks and evaluation frameworks

• Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems

• Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses

• Design and implement prompting pipelines to generate data that improves model accuracy and honesty

• Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims

• Create tools to help human evaluators efficiently assess model outputs for accuracy

Requirements

• Have an MS/PhD in Computer Science, ML, or related field

• Possess strong programming skills in Python

• Have industry experience with language model finetuning and classifier training

• Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy

• Care about AI safety and the accuracy and honesty of both current and future AI systems

• Have experience in data science or the creation and curation of datasets for finetuning LLMs

• An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs

Preferred qualifications

• Published work on hallucination prevention, factual grounding, or knowledge integration in language models

• Experience with fact-grounding techniques

• Background in developing confidence estimation or calibration methods for ML models

• A track record of creating and maintaining factual knowledge bases

• Familiarity with RLHF specifically applied to improving model truthfulness

• Worked with crowd-sourcing platforms and human feedback collection systems

• Experience developing evaluations of model accuracy or hallucinations

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

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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In this role, you'll oversee the product roadmap for your data vertical, owning 'data as a product', pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.

You'll work directly with Scale's most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps.

The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.

Responsibilities:

• Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.

• Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.

• Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.

• Scope out and scale the creation of RL environments that simulate real-world use cases.

• Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.

Ideally, You'd Have:

• Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.

• 6+ years of experience in product management or a customer-facing role.

• Technical fluency: Software engineering background (a degree in computer science or equivalent experience).

• Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation

• Strong customer intuition and the ability to translate technical requirements into impactful product decisions.

• Bias for action and comfort wearing multiple hats and operating in fast-moving environments.

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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As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.

Build and optimize inference services that deliver low-latency, high-reliability experiences for our customers, including autoscaling, routing, and fallbacks.

Work on GPU-level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.

Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.

Play an active role in hiring, mentoring, and developing other engineers on the team.

Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

You have 5+ years of experience in software engineering, with a strong track record of shipping high-quality products or platforms.

You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).

You have hands-on experience with one or more of the following:

Model training (especially transformers and LLMs).

Model inference at scale (again, especially transformers and LLMs).

Low-level GPU work, such as writing CUDA or Triton kernels.

Comfortable working in production environments at meaningful scale (traffic, data, or organizational).

You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non-engineers.

You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.

Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

Competitive salary, annual bonus and equity

Regular compensation reviews - we reward great work!

Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

Generous paid time off above statutory minimum

Hybrid working

MacBooks are our standard, but we also offer Windows for certain roles when needed.

Fun events for employees, friends, and family!

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For example, you might:

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;
• Practical experience conducting technical research collaboratively;
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;
• A track record of published research in machine learning, particularly in generative AI;
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

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.

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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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This is an impactful role where you will take ownership of defining critical maintenance plans, shaping technical data packages, optimizing sparing, and ensuring seamless lifecycle management. Your expertise will be vital in translating engineering innovation into reliable, supportable systems for our warfighters, directly enabling Anduril’s mission to transform defense technology.

Responsibilities:

• Develop and maintain comprehensive, ground-up sustainment plans for the specific product(s) you support
• Partner with customers, operations teams, and cross-functional engineering teams to define, implement, and continuously improve effective maintenance and repair strategies
• Ensure the availability of up-to-date maintenance procedures, specialized tools, and accurate technical manuals to support field sustainment operations
• Serve as the primary point of contact for all sustainment-related matters within your assigned product team, proactively identifying and resolving issues
• Collaborate with design and manufacturing engineering teams during new product development phases to integrate best sustainment practices and design-for-supportability concepts early in the process
• Create and maintain a Service Bill of Materials (SBOM) and other critical sustainment artifacts (e.g., provisioning lists, support equipment lists), ensuring they establish a central, up-to-date repository for all sustainment data

Required Qualifications:

• Demonstrated detailed and extensive technical expertise in applying mechanical or systems engineering principles to complex hardware systems
• Hands-on proficiency with professional CAD software and Product Lifecycle Management (PLM) tools for managing engineering data, changes, and configurations
• Foundational understanding and practical application of Integrated Product Support (IPS) elements, principles, and concepts (e.g., maintenance planning, supply support, technical data management, support equipment, training, facilities)
• 5+ years of experience in product support, sustainment engineering, or systems engineering roles within a high-rigor environment (e.g., defense, aerospace, advanced robotics, complex industrial systems)
• Familiarity with military standards, specifications, and regulatory compliance relevant to product support and sustainment activities
• Proven ability to work effectively in dynamic, unstructured environments, adapt to rapidly changing priorities, and quickly learn and master new technologies and complex systems
• Excellent written and verbal communication skills, with a demonstrated ability to synthesize complex technical and quantitative data into clear, concise decision statements and actionable recommendations for diverse audiences (engineers, operators, customers)

Preferred Qualifications:

• Bachelor's degree in Engineering (Mechanical, Manufacturing, Aerospace, or related field)
• Direct experience with sustainment methodologies such as Maintenance Task Analysis (MTA), Level of Repair Analysis (LORA), Reliability Centered Maintenance (RCM), or developing Contractor Logistics Support (CLS) plans
• Proven track record of developing and delivering key customer-facing sustainment artifacts and contractual deliverables
• Prior hands-on experience with specific enterprise tools such as Siemens NX, Teamcenter (PLM), JIRA, or Oracle (ERP) or equivalent systems
• Direct experience with complex military systems, robotics, unmanned systems, or advanced defense technology products
• Understanding of the use of the Technical Data Package (drawings, parts lists, interface control documents, and electrical schematics)
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness and ability to travel for on-site support, field deployments, and direct customer engagements as required

Additional Benefits:

• Highly competitive equity grants are included in the majority of full-time offers
• Top-tier benefits for full-time employees, including healthcare benefits, income protection, generous time off, caregiver & wellness leave, family planning & parenting support, mental health resources, professional development, commuter benefits, relocation assistance, retirement savings plan, and more

Salary Range: $129,000-$193,000 USD

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This role sits at the intersection of research and large-scale systems engineering: a builder who understands both the algorithms behind RL and the realities of distributed training and inference at scale. You'll wear many hats, from optimising rollout and reward pipelines to enhancing reliability, observability, and orchestration, collaborating closely with researchers and infra teams to make reinforcement learning stable, fast, and production-ready.

Responsibilities:

• Design, build, and optimise the infrastructure that powers large-scale reinforcement learning and post-training workloads.

• Improve the reliability and scalability of RL training pipeline, distributed RL workloads, and training throughput.

• Develop shared monitoring and observability tools to ensure high uptime, debuggability, and reproducibility for RL systems.

• Collaborate with researchers to translate algorithmic ideas into production-grade training pipelines.

• Build evaluation and benchmarking infrastructure that measures model progress on helpfulness, safety, and factuality.

• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

We're looking for someone with strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases. You should have a good understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.

Experience training or supporting large-scale language models with tens of billions of parameters or more is a plus. Familiarity with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry) is also a plus.

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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As a CPSO, you will be responsible for the management, direction, administration and development of security programs and procedures for assigned programs that have contractually imposed security requirements beyond 32 CFR Part 117, National Industrial Security Program Operating Manual (NISPOM) Rule requirements.

The CPSO will interface with government agencies regarding assigned program security matters and requirements and will be responsible for managing all security-related aspects of assigned programs in close collaboration with other Anduril CPSOs.

This will require detailed knowledge of the government policies applicable to Special Access Program (SAP) security, as well as practical experience implementing this knowledge to a fast-paced, quickly scaling, and complex environment.

If you are someone who enjoys fast-paced and collaborative work, finding solutions to interesting challenges, and possess a 'can do' attitude, then this role is for you!

Responsibilities:

• Submit program access requests, prepare for government inspections, conduct and report results of self-inspections, process visit requests, conduct security briefings, refreshers and debriefings, maintain access rosters, enable and manage classified mail, manage IDS/access control management systems for spaces associated with assigned program(s), and perform other duties as assigned.

• Perform program security administrative tasks and duties (e.g., maintain/create filing and tracking systems, updating logs/lists, ensure secure program areas are set up and appropriately supplied to meet program manager/staff needs, coordinate with internal and external customers to include Information Systems, Mission Assurance, Insider Threat, Physical Security, and Facilities, as required).

• Maintain personnel security records for special access programs (SAP) and/or Sensitive Compartmented Information (SCI)-related programs to include the use of SIMS, DISS, JADE, and other systems as applicable.

• Perform initial access eligibility determinations, process Pre-Screening Questionnaires, and create PARs and SCI nominations for assigned programs.

• Process incoming and outgoing classified visit certifications.

• Conduct internal self-inspections and manage government Staff Assistance Visits and Customer Security Assessments on behalf of Anduril.

• Maintain classified material accountability records to include inventory lists, receipt and transmittal records and final disposition documentation.

• Maintain working knowledge in the preparation and maintenance of prime and subcontract DD254s.

• Ensure all classified materials are marked and controlled in accordance with contractual requirements.

• Review operational requirements and system specification documents to ensure applicable security requirements are addressed and incorporated into security processes.

• Interpret and implement security classification guidance.

• Develop Program Protection Plans (PPPs)

• Investigate and document security violations/incidents, providing recommendations for corrective actions to program personnel/management and keep Anduril leadership and government cognizant security authorities/program office(s) informed as required.

• Develop and maintain the program's Standard Operating Procedure (SOP).

• Provide amazing support to both internal and external customers.

• Attend, support and participate in program meetings, staff meetings, and telecons.

• Respond to walk-in customers and perform ad hoc security services as needed.

• Actively and aggressively pursue maintaining a collaborative environment within the larger security team, with program teams, with teams outside Anduril’s security enterprise, and with government customers/program offices.

• In collaboration with the physical security team, maintain the program’s access control and alarm systems.

• Develop/maintain current program Fixed Facility Checklists to establish/update classified work areas, including maintaining and updating necessary accreditation documentation and records.

• Develop/update Security Education & Training modules in collaboration with other security team members and the government program offices, as applicable.

• Develop/conduct formal initial and recurring security education and training materials/events.

Required Qualifications:

• Bachelor's degree in related discipline or equivalent education and work experience.

• At least five years’ experience working with special programs in a ACPSO or CPSO role.

• Detailed knowledge of applicable Department of Defense policies, instructions, and manuals pertinent to special access program security.

• Strong oral and written communications skills.

• Top-notch collaboration and interpersonal skills.

• DoD Top Secret clearance with SCI eligibility with current investigation and ability to maintain a DoD Top Secret clearance with Special Program accesses.

Preferred Qualifications:

• Familiarity with ICD-705 and the associated Technical Specifications, and how it applies to building new secure facilities.

• Willing to work extended hours in a fast-paced, deadline-driven environment in a variety of program areas.

• Willingness to travel on company business (varies but probably less than 15%).

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You will:

• Build synthetic data pipelines to generate enterprise environments to use for RL post-training
• Create agents to convert traces from production into actionable insights to use to improve agents
• Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
• Train state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers

Ideally, you'd have:

• 3+ years of building with LLMs in a production environment
• Clear experiences with constructing high-quality data to use to improve an LLM/Agent
• Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
• PhD or Masters in Computer Science or a related field

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.

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.

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Your mission will be to grow one of our most strategic Defence customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.

As an Enterprise Account Executive at Databricks, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers.

The impact you will have:

• Co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals
• Lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
• Implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement
• Develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions

What we look for:

• Experience developing strong relationships with large Defence Enterprises global accounts, managing virtual teams, and leading complex sales campaigns in major Defence accounts is essential
• You will have experience working in Big Data, Cloud, or SaaS industries
• Proof of exceeding sales quotas in high-growth Enterprise software companies
• You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams
• You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
• You will have experience co-developing business cases and gaining support from C-level Executives
• You will have experience of value-based selling
• Eligibility for SC clearance (existing clearances held would be an advantage)

About Databricks:

Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits:

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

Our Commitment to Diversity and Inclusion:

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

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Sales Enablement Manager

Why Join Us

Brex is a rapidly growing fintech company CandIDates will have the opportunity to work with a talented team of professionals and contribute to the development of next-generation financial technology.

Post-Sales at Brex

The Post-Sales team is the driving factor behind revenue retention, and growth, for Brex. Every member of our team are customer champions to ensure our base sees the full value of the Brex platform, while directly affecting our bottom line.

Position Overview

The Post Sales Enablement Manager drives customer revenue team effectiveness by developing and implementing strategic programs, training initiatives, and content resources. This role bridges Post-Sales, Marketing, Revenue Operations, and Product teams to optimize the sales process and accelerate revenue growth.

Key Responsibilities

• Design and execute comprehensive sales training programs for new and existing post sales representatives
• Create and maintain sales enablement content including playbooks, battle cards, competitive plays, and customer-facing assets.
• Develop and track metrics to measure the effectiveness of enablement programs
• Partner cross-functionally with PMM, Marketing, and Product to to align on priorities and consistent messaging to the field, and ensure Sales is well equipped to successfully sell new product releases
• Lead onboarding programs for new post sales hires
• Regularly conduct field reviews (i.e. QBRs with sales leadership, 1:1's with sales reps), and provide ongoing targeted coaching / reinforcement trainings to specific sales reps / teams /managers based on those reviews

Required Qualifications

• 4+ years of experience in sales enablement, sales operations, or related field
• Proven track record of developing successful sales training programs
• Experience with Salesforce, Gong, LMS, and other enablement tools
• Excellent project management and communication skills
• Strong problem-solver, and exhibit daily commitment to excellence

Preferred Qualifications

• Forward thinking about on AI will change the way Enablement (and sales) operates
• Have sold to and/or enabled sellers who primarily sold to finance/accounting teams
• Operated within a larger MEDDIC GTM organization
• An intermediate understanding of B2B payments & general risk management
• Strong understanding of sales methodologies and best practices

Compensation

The expected salary range for this role is $132,888 to $166,110.

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You will partner with engineering teams within W&B and CoreWeave AI/ML Platform Services (AMPS) to ensure W&B integrates seamlessly into the broader ML ecosystem, while maintaining high reliability and predictable releases.

This role is ideal for someone who thrives in cross-functional environments, has a strong grasp of developer workflows, and excels at creating repeatable, reliable program structures that scale.

Responsibilities

• Drive end-to-end program management for critical platform initiatives.
• Build and run release management processes, ensuring predictable and high-quality delivery cycles.
• Partner with engineering and product to define success metrics, manage risks, and ensure on-time delivery.
• Build and scale incident management and RCA processes for W&B services.
• Improve the predictability and visibility of releases across teams, introducing dashboards, retrospectives, and program forums.
• Collaborate with TPMs and engineering leaders across W&B and CoreWeave to ensure end-to-end reliability across the ML developer stack.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 5+ years of program management experience in SaaS, developer tools, or ML/AI platforms.
• Proven experience running release management programs and incident management processes.
• Strong technical fluency in cloud computing, developer workflows, and CI/CD practices.
• Excellent communication and facilitation skills with diverse technical and non-technical audiences.
• Track record of improving reliability, efficiency, and predictability in software delivery.

Additional Qualifications

• Familiarity with ML workflows, model training/inference, and developer productivity tools.
• Experience building integrations between SaaS platforms, APIs, and cloud services.
• Strong background in reliability engineering practices and DevOps program leadership.

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Our ideal candidate will be a well-trained and experienced security professional that is proactive, motivated, and customer service oriented. It is imperative that agents taking this role practice consistent good judgement and maintain the trust of their leadership and those they protect.

Responsibilities:

• Incorporate Tanium Mission and Values into all decisions and actions
• Responsible for making operational decisions that enhance safety for the principals
• Support the Global Security mission, Executive Protection details, and Tanium Executives if needed
• Demonstrate effective communication with the principals, visitors, and other team members
• Be accountable for their decisions, actions, and communications
• Responsible for safeguarding the CEO, his family, and their private property located at the residence
• Promote and establish effective working relationships with principals, staff, and team members
• Support EPFOG new hire and EPPAG cross-training
• Collaborate on the development of EPFOG standard operating procedures
• Maintain and input all pertinent info all security logs
• Effectively perform transports for CEO's family
• Ensuring EPFOG vehicles are maintained
• Receive, document, and communicate all deliveries
• Serve as the primary point of contact in place of EPFOG Team Lead, when needed
• Ready and able upon request to support other teams within the Global Security mission to help safeguard Tanium's people, assets, and reputation
• Responsible for providing transportation for the CEO's family upon request
• Agents must always conduct themselves with Tanium's best interests
• Other duties as assigned by Head of Executive Protection and Operations
• Travel in support of the EPPAG
• Monitor, Track, and assist with all movements of principals
• Occasionally operate and assist in maintaining CEO boat
• Occasionally perform duties in a corporate office environment

Core Competencies:

• Ability to adapt and overcome technical and physical obstacles as they arise.
• Demonstrates initiative and motivation
• Excellent oral and written communication skills
• Team player
• Person of high ethics and integrity
• Ability to work in a fast-paced, ever-changing environment
• Positive, can-do attitude is necessary

Tanium Competencies:

• Demonstrates initiative and motivation
• Excellent oral and written communication skills
• Team player
• Person of high ethics and integrity
• Ability to work in a fast-paced, changing environment

Work Requirements:

• Travel Requirements: 10%
• Mental Abilities
• Analytical abilities: ability to analyze problem situations in depth; ability to show a probing mind.
• Number facility: the individual must be able to perform basic mathematical calculations at a minimum.
• Precision to detail: it is necessary that the individual be precise, detail-oriented, and exact.
• Flexibility: the ability to juggle several projects simultaneously, to cope successfully with diversity and complexity, to integrate seemingly unrelated data, and to reduce complex notions into relatively simple terms.
• Written and oral communication skills: ability to write memos, letters, and reports in clear, concise fashion with appropriate vocabulary, grammar, and word usage; ability to communicate effectively with superiors, peers, subordinates, and others on a one-on-one basis, using appropriate vocabulary, grammar, and word usage; includes clarity, organization of thought, and expressiveness are all part of this dimension.
• Management skills: ability to achieve results through subordinates; ability to successfully recruit, conduct selection interviews, place people, give clear direction, train, develop people for promotion, build cohesive and effective teams, monitor performance thoroughly, give constructive and ongoing performance feedback, conduct annual performance appraisals

Physical & Mental Abilities and Demands

• Light work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.
• Medium work: Exerting up to 50 pounds of force occasionally, and/or up to 20 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects.
• Heavy work: Exerting up to 100 pounds of force occasionally, and/or up to 50 pounds of force frequently, and/or up to 20 pounds of force constantly to move objects.
• Very heavy work: Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently, and/or in excess of 20 pounds of force constantly to move objects.
• Balancing: maintain body equilibrium to prevent falling when walking, standing, or crouching on narrow, slippery, or erratically moving surfaces.
• Kneeling: Bending legs at knee to come to a rest on knee or knees.
• Crouching: Bending the body downward and forward by bending leg and spine.
• Reaching: Extending hand(s) and arm(s) in any direction.
• Standing: Particularly for sustained periods of time.
• Walking: Moving about on foot to accomplish tasks, particularly for long distances.
• Lifting: Raising objects from a lower to a higher position or moving objects horizontally from position-to-position.
• Use of Fingers/Hands: Typing, or otherwise working primarily with fingers rather than with whole hand or arm as in handling.
• Talking: Expressing or exchanging ideas by means of the spoken word.
• Hearing: Ability to receive detailed information through oral communication, and to make fine discriminations in sound, such as when making fine adjustments on machine parts.
• Repetitive motions: Substantial movements (motions) of the wrists, hands, and/or fingers.
• Vision: The incumbent is required to distinguish between true colors, perceive depth, and partial field of vision is required at a minimum for the position.

Work Environment

• The worker is subject to inside environmental conditions: Protection from weather conditions but not necessarily from temperature changes.
• The worker is subject to outside environmental conditions: NO effective protection from weather.
• The worker is subject to both environmental conditions

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Doula (Missouri)

About Us

At Pomelo Care, we redefine the healthcare journey for women and children. As the leading virtual medical practice in our field, we provide a continuous circle of support.

Role Description

As a doula serving Pomelo patients, you will educate and guide expecting and new families throughout pregnancy, birth, and the postpartum period. You will play a vital role in improving birth outcomes by ensuring that families feel supported and empowered during this transformative time.

Support for Your Doula Practice

By joining the Pomelo community, we provide the support you need to focus on what you do best - caring for families.

Focus on Care, Not Paperwork

We handle the credentialing, billing, and administrative hassle of accepting insurance. You get reliable and timely payment for your work without the back-office headache.

Grow Your Client Base

We provide client outreach support to help you connect with families who need your services.

Comprehensive Support

You’ll have access to dedicated administrative and technical support to navigate our systems, as well as charting and documentation support to streamline your workflow.

A Thriving Peer Community

Connect with a vibrant and growing network of hundreds of doulas. Access the Pomelo Doula community for peer support, shared learning, and connection.

Maintain Your Flexibility

You choose how many clients you see through Pomelo, allowing you to set the hours and workload that fit your life.

Requirements

• Completed certification/training as a birth and/or full spectrum doula.
• Experience working as a doula with an in-depth understanding of pregnancy, childbirth, breastfeeding, and postpartum recovery.
• Strong verbal and written communication skills, with the ability to connect with families from diverse backgrounds both virtually and in-person.
• Comfortable using telehealth platforms, video conferencing tools, and electronic documentation systems.
• Have availability for virtual and in-person work, as well as evenings and weekends, to accommodate the needs of families.

Credentialing Process & Next Steps

Once you apply, our team will guide you through the credentialing process, which includes:

• Meet with someone from our recruitment team for a 30-minute video call
• Provide proof/verification of:
• Medicaid Provider ID
• Doula training/certification
• NPI number
• Adult & Infant CPR/First Aid certification
• Doula Match Profile
• Personal liability insurance
• Complete a background screening

Why You Should Join Our Team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup where you will have a profound impact on the patients we serve.

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We are seeking a skilled Investment Banking - M&A Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to M&A investment banking contexts.

In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&A dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• 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 M&A investment banking.

Preferred Skills and Experience

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

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.

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Location: Dublin, Ireland

Department: Sales

Job Description:

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better.

Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service.

Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What's the opportunity?

Intercom's Global Sales Organization is rapidly evolving, and the GTM Enablement team is expanding to support. In this critical new role, you will solve the "Last Mile" gap in technical readiness, serving as the bridge between R&D, Product, and our customer-facing Solutions teams.

As the Senior Product Enablement Manager (Solutions), you will act as the single-threaded owner of the technical education strategy for our Solutions organization (CSMs, SEs, and Professional Services).

You will be responsible for translating our rapid product innovation and AI capabilities into clear, scalable enablement that accelerates adoption and strengthens customer outcomes.

This role is distinct from GTM Strategy; while they architect the commercial plan, you will own the early-stage positioning, solutions readiness, and technical fluency required to ensure our teams understand how our products work and how to deliver them effectively.

What will I be doing?

Reporting to the GTM Enablement leadership, you will partner directly with R&D and Product Management to build and deliver a comprehensive technical enablement program.

Technical Education Strategy & Curriculum - Developing a scalable and repeatable strategy for the technical education of AEs, RMs, CSMs, SEs, and Professional Services.

Creating and maintaining a full suite of technical training materials, including hands-on labs, documentation, and how-to guides.

Leading and facilitating technical training sessions, both live and on-demand, including "Train the Trainer" programs and new product release training.

AI Fluency & Certification - Owning the AI Fluency Program, creating a unified baseline of understanding regarding our AI capabilities (Fin) across the GTM organization.

Building and operationalizing a scalable certification framework that integrates AI learning objectives and continuous upskilling into onboarding and ongoing enablement.

Ensuring every GTM role is fluent in AI and able to guide customers through AI-driven change management and adoption.

Cross-Functional Partnership (R&D Bridge) - Serving as the primary liaison between R&D and the Solutions teams, translating product functionality and architecture into digestible, actionable training content.

Acting as the primary conduit for feedback from the Solutions teams back to R&D and Product, synthesizing field insights to help inform the product roadmap.

What skills do I need?

• 5+ years in Sales Enablement, Solutions Engineering, Technical Training, or a related role in a SaaS organization.

A strong technical aptitude with the ability to bridge R&D and GTM, translating complex technical details into clear guidance for customer-facing teams.

Experience designing and delivering technical curriculum, including hands-on labs, certifications, and self-paced learning interventions.

Deep understanding of the "Solutions" function (CSMs, SEs, Professional Services) and the technical readiness required to drive customer adoption and retention.

The ability to work cross-functionally and build trusted relationships with Product Managers, R&D, and GTM leadership.

Excellent communication and presentation skills, with an intuitive sense for delivering the right technical information at the right time.

Analytical mindset with the ability to measure technical proficiency and report on the effectiveness of certification programs

Bonus skills & attributes

• Experience at a high-growth SaaS company.

Familiarity with AI technology and experience enabling teams on AI-driven products.

Background in instructional design or technical writing.

Experience using tools like Salesforce, Gong, or modern LMS platforms (e.g., Workramp, Highspot).

Experience working in a globally distributed team.

Benefits

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

Regular compensation reviews - we reward great work!

Pension scheme & match up to 4%

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Flexible paid time off policy

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too

MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.

As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications.

We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics.

Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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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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In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Hindi with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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

To be successful in this role, you will need a Bachelor's degree in a related field such as Computer Science, Data Analytics, Education, or similar. You will also need 2-4 years of technical instruction or related experience. You will love teaching and creating those lightbulb moments for learners. You will create learning environments with high levels of engagement. You will be laser-focused on learner and customer outcomes while adjusting instruction on the fly. You will believe teaching is a craft that we can always get better at and actively seek out feedback. You will communicate clearly and concisely with internal and external stakeholders. You will thrive in an environment of cross-collaboration that moves quickly. You will have experience developing curricula and shipping courses fast.

What will make you stand out? You have worked on customer education/training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt. You have experience writing analytics code (i.e., Python, R, etc.) in addition to SQL and working with databases. You have experience designing curricula with a focus on backwards design. You have a dbt Fundamentals badge.

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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Portuguese with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organisational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyse accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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

We're hiring research engineers to define and execute the Labs research agenda. You'll scope your own projects, run experiments end-to-end, and decide when an idea is ready to hand off to a production team , or when to kill it and move on.

Responsibilities:

• Lead and contribute to research projects investigating new methods for detecting misuse of Claude, identifying malicious organisations and accounts, strengthening model safeguards, and other safety needs.

• Design and run offline analyses over model usage data to surface abuse patterns, build classifiers and detection systems, and evaluate their effectiveness.

• Develop and iterate on prototypes that could eventually feed signals into the real-time safeguards path, partnering with engineers on tech transfer.

• Contribute to a broader research portfolio investigating methods for detecting abusive behaviour in chat-based or agentive workflows, and for training the model to robustly refrain from dangerous responses or behaviours without over-refusing.

• Build evaluations and methodologies for measuring whether safeguards actually work, including in agentic settings.

• Write up findings clearly so they inform decisions across Trust & Safety, research, and product teams.

You may be a good fit if you:

• Have a track record of independently driving research projects from ambiguous problem statements to concrete results, ideally in AI, ML, security, integrity, or a related technical field.

• Are comfortable scoping your own work and switching between research, engineering, and analysis as a project demands.

• Have working familiarity with how large language models operate , sampling, prompting, training , even if LLMs aren't your primary background.

• Are proficient in Python and comfortable working with large datasets.

• Care about the societal impacts of AI and want your work to directly reduce real-world harm.

Strong candidates may also have:

• Experience building and training machine learning models, including classifiers for abuse, fraud, integrity, or security applications.

• Knowledge of evaluation methodologies for language models and experience designing evals.

• Experience with agentic environments and evaluating model behaviour in them.

• Background in trust and safety, integrity, fraud detection, threat intelligence, or adversarial ML.

• Experience with red teaming, jailbreak research, or interpretability methods like steering vectors.

• A history of taking research prototypes and transferring them into production systems.

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

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

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

In this role, you will partner closely with Partner Programs, Channel Sales, Product Marketing, Operations, and Enablement leaders to improve partner productivity, accelerate revenue, and ensure successful customer outcomes via the channel.

Key responsibilities include:

• Defining and managing the partner enablement strategy, partnering with Product Marketing and Channel stakeholders to set requirements and drive strategic decision-making.
• Establishing and tracking success metrics related to partner readiness, training adoption, and revenue influence to inform strategy.
• Identifying gaps in partner capability and recommending scalable enablement solutions.

Curriculum & Program Management:

• Creating, implementing, and managing comprehensive enablement programs that provide partners with the necessary training and resources to succeed.
• Developing e-learning, content for instructor-led training sessions or workshops, and coordinating / leading webinars.
• Ensuring all enablement content is current, high-impact, and easily discoverable through the partner portal.

Strategic Communications & Stakeholder Management:

• Developing and executing a comprehensive communications plan to promote enablement programs and drive adoption, leveraging available communications and enablement platforms.
• Serving as the primary enablement point of contact for Channel and Partner leadership.
• Influencing senior stakeholders across Product Marketing, Sales, Operations, and Enablement without formal authority.
• Defining, tracking and reporting on key metrics that indicate enablement program adoption and impact, providing partner leadership with results.

Requirements:

• 3+ years of experience in partner enablement, channel sales, sales enablement, customer education, customer training or a similar role.
• Proven experience designing and delivering training for external audiences, including live sessions, virtual webinars and self-guided courses.
• Strong facilitation and communication skills with the ability to engage a wide range of audiences, including senior leadership, through live sessions and workshops.
• Ability to translate technical or complex concepts into clear, practical guidance for partners.
• Experience working cross-functionally with Sales, Marketing, Product, and Marketing to develop and execute plans in a fast-growth environment.
• Demonstrated program and project management skills
• Comfort using data to measure outcomes, tell a clear story and recommend improvements.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Tamil with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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 Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on-prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation. You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.

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 diving into infrastructure problems and solving them systematically
• You’re curious about how to scale complex ML systems in production environments
• You’re an expert in building and running containerized, distributed systems

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

The base salary ranges for this role is $180,000 to $200,000. 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).

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

XML job scraping automation by YubHub

You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:

• Invent, design and implement RL environments and evaluations.
• Conduct experiments and shape our research roadmap.
• Deliver your work into training runs.
• Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.

We're looking for someone with expertise in accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch), and experience with balancing research exploration with engineering implementation.

Strong candidates may also have experience with reinforcement learning, porting ML workloads between different types of accelerators, and familiarity with LLM training methodologies.

The annual compensation range for this role is $350,000-$850,000 USD.

Please note that we're an extremely collaborative group, and we value communication skills. The easiest way to understand our research directions is to read our recent research.

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.

XML job scraping automation by YubHub

In this role, you will contribute rigorous technical accounting analysis, clear written explanations, and sound professional judgment that help train AI models to address complex, non-routine accounting issues.

Working closely with engineering and research teams, you will evaluate sophisticated accounting scenarios and guide how AI systems interpret and apply authoritative U.S. GAAP, SEC guidance, and company-level accounting policy considerations.

Your contributions will directly impact the accuracy, consistency, and reliability of AI-generated accounting conclusions.

You will draw on hands-on experience across technical financial reporting areas,such as revenue recognition, business combinations, consolidations, equity compensation, leases, financial instruments, and disclosures,to analyse challenging fact patterns similar to those encountered in Big 4 engagements, national office consultations, or technical accounting memo development.

This role is well suited for technical accounting professionals who thrive in fast-paced, intellectually demanding environments and are comfortable working with evolving prompts, guidance, and objectives.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.

• Support and ensure the delivery of high-quality curated data.

• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.

• Interact with the technical staff to help improve the design of efficient annotation tools.

• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Experience in technical accounting, audit, or accounting advisory roles within a public accounting firm or specialised accounting advisory practice, with exposure to complex GAAP and SEC-reporting environments.

• Demonstrated ability to research and apply U.S. GAAP and other authoritative guidance to non-routine or judgment-intensive accounting issues.

• Strong written communication skills in English, with the ability to document accounting conclusions clearly and logically.

• Proficiency in navigating authoritative accounting resources, including FASB Codification, SEC EDGAR, public-company filings, and accounting policy documentation.

• Strong analytical judgment and the ability to reach defensible accounting conclusions in situations involving ambiguity or incomplete information.

• Interest in applying technical accounting expertise to emerging technologies and AI-driven accounting analysis.

Preferred Skills and Experience:

• CPA license in good standing.

• Experience in national office, technical accounting advisory, or SEC-focused roles, including ownership of complex or novel accounting issues.

• Demonstrated leadership in developing, reviewing, or approving technical accounting memoranda, accounting policies, or position papers for significant transactions or reporting matters.

• Deep familiarity with SEC disclosure requirements, including hands-on review of 10-K/10-Q footnotes, critical accounting policies, or MD&A from a technical accounting perspective.

• Teaching, training, or mentoring experience in advanced or technical accounting topics, including firm-level technical training or academic instruction.

• Contributions to professional thought leadership, such as publications, presentations, or firm-issued accounting guidance.

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.

xAI is an equal opportunity employer.

For details on data processing, view our Recruitment Privacy Notice.

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Responsibilities:

• Lead the prospecting, qualification, and closing of new affiliate CPA client accounts, targeting high-value opportunities and key industry players.
• Drive the sales process from lead generation to deal closure, presenting tailored solutions and articulating the value of tvScientific’s platform to meet client objectives.
• Build and nurture strong, long-lasting relationships with prospective and new clients, ensuring a seamless handoff to the account management team post-sale.
• Develop a strategic approach to building a robust sales pipeline, leveraging your knowledge of the affiliate marketing ecosystem and market trends to uncover opportunities.
• Work closely with internal teams, including Account Management, Product, and Support, to ensure successful onboarding and campaign execution for new clients.
• Maintain a thorough understanding of client needs, industry trends, and competitors to position tvScientific as the preferred partner for performance marketing solutions.

Requirements:

• 5+ years of experience in affiliate sales or account management, with a proven track record in the performance marketing space.
• Extensive experience in closing high-value affiliate CPA deals and managing complex client relationships.
• Deep understanding of the affiliate marketing ecosystem, performance marketing principles, and the digital media landscape.
• Exceptional communication and negotiation skills, with the ability to influence decision-makers and close large-scale deals.
• Strong strategic thinking and problem-solving skills, with the ability to create customized solutions to meet client needs.
• A self-motivated, results-driven approach with a history of exceeding sales targets and driving revenue growth.
• Ability to thrive in a fast-paced, high-pressure environment while managing multiple opportunities and priorities.
• AI-first affiliate sales workflow: Comfortable using AI to accelerate account research, pipeline prioritization, and performance-marketing outreach/follow-ups, while validating key details against source-of-truth affiliate partner/network reporting and internal data.

Preferred Qualifications:

• An MBA or advanced degree in business or related field.
• Experience working with enterprise-level clients or managing large, complex affiliate networks.
• Certifications or specialized training in performance marketing, affiliate marketing platforms, or digital advertising.
• A strong network within the affiliate marketing industry and related verticals.

XML job scraping automation by YubHub

As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences.

About the Team

The Support Experience engineering organization builds and improves Stripe's user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.

Responsibilities

• Design and implement state-of-the-art ML models and large-scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities

Requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs,balancing reliability, latency, and cost,with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc.
• Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred Qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

XML job scraping automation by YubHub

We are seeking a highly organized and technically skilled individual with hands-on experience designing processes, implementing, managing, and integrating legal systems with enterprise platforms. The ideal candidate will have a proven track record of evaluating technology, driving automation initiatives, and delivering measurable improvements in legal workflows.

As a Legal Operations Analyst, you will serve as a co-administrator for Ironclad, managing legal workflows, templates, clause libraries, reporting, and user access. You will facilitate end-to-end contract processes, track milestones, and ensure timely approvals. You will also help pilot, implement, and optimize AI and automation tools to streamline legal workflows and enhance productivity.

This highly impactful role offers the opportunity to shape contract management, drive adoption of AI and automation, and help scale the LPT department's operations in a fast-paced, evolving environment.

Responsibilities:

• CLM Administration: Serve as a co-administrator for Ironclad, managing legal workflows, templates, clause libraries, reporting, and user access.
• AI & Technology Initiatives: Help pilot, implement, and optimize AI and automation tools to streamline legal workflows and enhance productivity.
• Process Improvement: Identify opportunities to streamline in contract and workflow processes, recommend solutions, and help implement best practices to scale the legal function.
• Project Management: Support projects end-to-end – from planning and coordination to rollout and adoption.
• Analytics & Reporting: Build dashboards and reports on contract metrics, KPIs, and technology adoption metrics to maintain data for leadership review.
• Training & Enablement: Develop documentation and training for LPT teams and business partners to maximize adoption of CLM and AI tools.
• General Legal Ops Support: Ensure smooth execution of department workflows by supporting day-to-day operations, including maintaining knowledge bases, driving cross-functional initiatives, and supporting strategic ad hoc projects.

Requirements:

• 5+ years of experience in legal operations, preferably at a fast-paced global technology company.
• Highly organized and proven in defining and executing a project from start to finish, ability to manage multiple concurrent projects, high-volume workloads, and shifting priorities with confidence.
• Strong technical acumen with hands-on experience designing processes, implementing, managing, and integrating legal systems with enterprise platforms.
• Proven track record of evaluating technology, driving automation initiatives, and delivering measurable improvements in legal workflows.
• Skilled in legal data analytics (ROI, cycle times, volumes, trends).
• Excellent communicator with strong writing skills; able to present complex issues clearly and concisely.
• Collaborative, adaptable, and cross-functional team player with integrity, curiosity, and strong interpersonal skills – with the ability to work independently or cross-functionally.

Bonus:

• Working knowledge of AI tools and applications, including prompt design, data extraction, document analysis, and model training.
• A sense of humor!

Compensation:

• Compensation may be adjusted based on location: For the New York, D.C., and California (Excluding the bay area) the expected salary range is $124,000 - $152,000
• Equity: This role is eligible to participate in Cloudflare’s equity plan.
• Benefits: Cloudflare offers a complete package of benefits and programs to support you and your family, including health and welfare benefits, financial benefits, and time off.

What Makes Cloudflare Special?

• We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul.
• Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
• Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
• Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration.
• 1.1.1.1: We released 1.1.1.1, a free public DNS resolver that blocks ads and trackers, making the Internet faster and safer for everyone.

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You will engage with new hires, current team members, and sales leaders to enhance their understanding of Stripe's products and sales strategies. You'll collaborate closely with cross-functional teams to ensure that training content is not only informative but also engaging and relevant.

Responsibilities:

• Lead onboarding and 101/201 live training sessions, ensuring an engaging and effective training experience for new hires
• Organize and facilitate sales skills workshops to uplevel seller performance in our SF hub
• Be prepared to travel to other areas of your region and support virtual delivery for the APAC team
• Build strong relationships with stakeholders to identify their unique enablement needs and sales skills gaps
• Collaborate with subject matter experts to develop engaging training materials, including presentations, role-plays, and interactive exercises that enhance efficiency and drive business outcomes
• Tailor content and information to various roles, segments, and sales motions, demonstrating empathy for sellers
• Assess training effectiveness through participant feedback and performance metrics, iterating on content and delivery methods as needed
• Provide ongoing coaching and support to sales team members to reinforce learning and drive continuous improvement
• Represent a macro-optimistic exothermic team and be the first face many see as an onboarding trainer
• Help drive a learning culture at Stripe by building strong relationships with stakeholders in your region

Requirements:

• 8+ years of experience in sales, sales enablement, or a related field, with a focus on onboarding or skills development
• A passion for teaching, a strong grasp of adult learning principles, and the ability to deliver engaging, hands-on programs while representing a positive and collaborative team
• Proven ability to design and deliver engaging training sessions, both virtual and in-person
• Experience coaching and delivering value selling or solution selling programs
• Excellent communication and presentation skills, with the ability to work cross-functionally with senior leaders and subject matter experts and to quickly convey complex concepts in simple terms
• Strong organizational skills and attention to detail, with the ability to manage multiple training initiatives simultaneously
• Experience in sales environments, ideally with an understanding of SaaS or financial technology solutions
• A proactive and adaptable mindset, capable of navigating ambiguity and changing priorities

Preferred Qualifications:

• Experience in a fast-paced, dynamic sales environment with a focus on quota attainment
• Familiarity with learning management systems (LMS) and e-learning tools
• Strong facilitation skills with experience in coaching and mentoring
• Certification in training methodologies or instructional design (e.g., ATD, CPLP, etc.) is a plus

At Stripe, we believe in nurturing talent and providing opportunities for professional growth. If you’re an enthusiastic and experienced training facilitator with a passion for empowering sales teams, we would love to hear from you!

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As a Technical Enablement Lead, you'll own Claude Code enablement,building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

Key responsibilities include:

• Deliver Claude Code training for onboarding and ongoing enablement programs
• Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides
• Build compelling demo scenarios across industries and developer personas
• Develop competitive positioning content,battlecards, differentiation guides, objection handling
• Run demo coaching sessions and weekly office hours
• Translate new Claude Code features into field-ready content rapidly
• Gather field feedback and track content effectiveness to continuously improve programs

Requirements include:

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)
• Strong programming skills,you've shipped real code recently, not just slideware
• You use AI coding tools (ideally Claude Code) extensively in your own work,not as a novelty, but as core infrastructure for how you build and ship
• Track record delivering live technical training or talks
• Experience partnering directly with sales, solutions engineering, or GTM teams

Nice to have:

• Experience coaching others on demos or presentations
• Familiarity with enterprise developer workflows
• Public speaking, conference presentations, or community-facing developer advocacy

Location & Travel:

Location is flexible, with preference for proximity to a major hub (SF, NYC, or Seattle). Regular travel is expected for in-person training delivery and field events.

Annual compensation range for this role is $270,000-$310,000 USD.

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CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.

Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave's orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale.

This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.

By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what's possible with AI.

What You'll Do

As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave's orchestration platform.

You'll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale.

You'll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave's orchestration layer evolves to meet the demands of next-generation AI workloads.

Who You Are

• 8+ years of software engineering experience.

• Proven track record designing and operating large-scale distributed systems in production.

• Deep expertise in Slurm/Kubernetes internals and cloud-native development.

• Advanced proficiency in Go and distributed systems design and cloud-native development.

• Experience setting technical direction and influencing cross-team architecture.

• Bachelor's or Master's degree in CS, EE, or related field.

Preferred

• Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows

• Deep expertise in Slurm/Kubernetes internals.

• Experience with distributed workloads, GPU-based applications, or ML pipelines.

• Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.

• Exposure to reliability practices including SLOs, alarms, and post-incident reviews.

• Experience with AI infrastructure and workloads (ML training, inference, or HPC).

• Ability to mentor senior engineers and elevate organizational standards.

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!

Salary and Benefits

The base salary range for this role is $185,000 to $275,000.

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

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Key responsibilities include:

• Design and implement solutions to problems of scale for testing and validation of CoreWeave's global infrastructure.
• Design and develop Kubernetes-native controllers and operators to automate infrastructure workflows.
• Build and maintain scalable backend services and APIs (gRPC/REST) in Go or Python.
• Develop performance tests and automation workflows to expand hardware validation across the CoreWeave fleet.
• Write and maintain Kubernetes custom controllers and operators to automate infrastructure testing.
• Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.

To be successful in this role, you should have:

• ~5 to 8 years experience.
• Proficiency in Go and/or Python software development.
• Hands-on experience with writing Kubernetes operators/controllers.

Nice to have:

• Experience testing hardware at scale.
• HPC Experience.
• Experience with AI/ML infrastructure and training / inference.

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This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic , your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints , orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

Responsibilities:

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions

• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes

• Extend deployment observability , dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"

• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism

• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity

• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement

• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have:

• 5+ years of experience building deployment, release, or delivery infrastructure at scale

• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines

• Experience with deployment systems where resource constraints shape the design , whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows

• A track record of building automation that measurably improves deployment velocity and reliability

• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration

• Comfort working across the stack , from backend services and databases to CLI tools and web UIs

• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have:

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)

• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)

• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback

• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)

• Experience with Python and/or Rust in production systems

The annual compensation range for this role is $320,000-$485,000 USD.

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The ideal candidate will have expertise in multimodality and experience running large-scale experiments. They will be comfortable contributing to complex engineering systems and have a strong grasp of probability, statistics, and machine learning fundamentals.

This is an evergreen role, meaning that the position is open on an ongoing basis. The company receives many applications, and there may not always be an immediate role that aligns perfectly with the candidate's experience and skills. However, they encourage candidates to apply and continuously review applications.

Responsibilities:

• Own research projects on training and performance analysis of multimodal AI models.
• Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities.
• Work with data infrastructure engineers, pretraining researchers and engineers, and product teams to create frontier multimodal models and the products that leverage them.
• Publish and present research that moves the entire community forward.

Skills and Qualifications:

• Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.
• Understanding of machine learning fundamentals, large-scale training, and distributed compute environments.
• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
• Comfortable with debugging distributed training and writing code that scales.
• Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.

Preferred qualifications include research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design, experience developing evaluation frameworks for multimodal tasks, publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI, and a strong grasp of probability, statistics, and ML fundamentals.

Logistics:

• Location: San Francisco, California.
• Compensation: $350,000 - $475,000 USD per year, depending on background, skills, and experience.
• Visa sponsorship: Yes.
• Benefits: Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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

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

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

About the Security Team

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

Responsibilities

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

Key Responsibilities

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

Requirements

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

Qualifications

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

What We Offer

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

How to Apply

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

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In this strategic role, you will be tasked with establishing a unified knowledge management and training strategy that can be re-architected to fully leverage AI, empowering the team and our global business partners to move faster and enabling employees to easily get the information they need to be productive in an AI-driven environment.

As a Sr. Training & Knowledge Management Manager, you will be responsible for:

• Strategizing and leading the development, championing, and execution of a multi-year strategic roadmap for the Legal team's Knowledge Management and Training program, ensuring alignment with broader organizational goals.

• Partnering across the organization (Sales Enablement, Okta University, and Learning & Development) to establish a unified, best-in-class approach for company-wide legal training topics.

• Designing, hosting, and producing engaging on-demand content and live training sessions for the Legal team and company-wide, including designing a scalable onboarding program for new Legal team hires.

• Leveraging broad legal knowledge and experience to actively create and build high-quality, relevant legal team content, ensuring it is both substantively sound and easy to consume.

• Strategically building and optimizing legal knowledge content for seamless ingestion by AI systems, ensuring the information is structured to effectively train, govern, and power internal AI models and bots for various use cases.

• Establishing standards for knowledge capture, lifecycle management, and governance, leveraging self-service technologies (e.g. AI-driven search, workflow automation, etc.) to maintain the knowledge base, dramatically reduce redundant inquiries, and enable employees to self-serve relevant information.

• Providing strategic oversight and professional guidance to the Training & Knowledge Management Specialist, driving departmental consistency and fostering career growth.

• Defining and reporting on sophisticated metrics (e.g. ROI, adoption rates, knowledge gaps, etc.) to the Director of Legal Operations to continually measure program effectiveness and inform future strategy.

• Proactively managing relationships with internal stakeholders to ensure all legal learning and knowledge management needs are anticipated and addressed.

This is an exciting opportunity to join a rapidly-growing team and contribute to the success of our organization. If you are a motivated and experienced professional with a passion for training and knowledge management, we encourage you to apply.

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

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

The SME L&D Trainer Lead Analyst is responsible for delivering comprehensive new hire onboarding, advanced cross-skilling and train-the-trainer sessions to significantly drive quality, performance, and operational excellence.

Training (30-50% travel required):

• Deliver comprehensive, interactive, and strategically aligned training sessions covering Premium & Priority support workstreams ensuring advanced comprehension and application.

• Deliver onboarding, and cross-skilling training and nesting support to ensure L&D consistently exceeds its KPIs and business SLAs.

• Establish and enforce high standards in training delivery for consistent knowledge transfer.

• Conduct Train-the-Trainer (TTT) masterclasses, certify and continually develop training facilitators, and participate in continuous development programs to uplift trainer quality.

• Collaborate with cross functional teams and work with L&D to enable the design and development of training materials and modules tailored to Premium & Priority Support.

• Drive recommendations of the design of onboarding, and cross skilling programs

• Ensure training content aligns with evolving regulatory requirements and internal policies proactively identifying potential gaps.

• Oversee and direct the identification and remediation of training gaps through advanced QA processes and performance analytics.

Operations:

• Proactively Identify opportunities to optimize existing processes and KPIs through strategic, cross-functional continuous improvement initiatives.

• Manage and prioritize the problems, ensuring submitted ideas are reviewed and acted upon within defined SLAs, and personally lead the implementation of critical solutions.

• Lead the Identification and execution of opportunities to eliminate, automate, and optimize (EAO) using advanced data analysis and predictive modeling.

• Initiate and lead collaborations with cross-functional teams to discuss proposed solutions, gain buy-in from stakeholders and coordinate their implementation with organizational impact.

• Submit tooling enhancement requests to relevant teams based on observations and testing.

• Collaborate with the Knowledge Management team on content updates and with L&D on training material revisions.

• Dedicate at least 10 hours per week to hands-on production roles to maintain expert-level SME knowledge of workflows and identify areas for improvement.

• Provide flexible and strategic support during workload spikes and work with the manager to define guardrails for production hours.

• Model an investigative mentality: utilize data and customer feedback to help address critical customer issues at the root cause and eliminate defects in the customer experience.

• Proactively identify customer needs before they become an issue to simplify the customer experience, reduce friction, and strengthen trust in Coinbase.

• Serve as a leading advocate for clear and impactful communication with internal and external partners to align on solutions and drive transformational results.

What we look for in you (ie. job requirements):

• Minimum 5+ years of professional experience in a related production role, demonstrating a solid foundation in industry practices with additional responsibilities, preferably training

• Expert-level and comprehensive knowledge of Customer Experience and customer service best practices, with specialized domain expertise.

• Proven track record of leading and implementing significant continuous process improvements within an organization, resulting in measurable business impact.

• Exceptional analytical capabilities coupled with strong problem-solving skills.

• Senior leadership-level communication skills with proven ability to effectively manage and engage stakeholders.

• Demonstrated ability to multitask efficiently and manage competing priorities effectively.

• Demonstrated proactive approach in suggesting and implementing organizational improvements.

• A strong commitment to continuous improvement and ongoing learning.

• Intermediate to advanced understanding of blockchain technology, web3 concepts, staking processes, ROI/staking rewards, self-custody, and cryptocurrency.

• High flexibility and adaptability to meet the evolving demands of a rapidly-growing, fast-paced organization.

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

Nice to haves:

• High level of proficiency in cryptocurrency and Coinbase products

• Previous experience in tech, crypto, finance, or fintech.

• Certification in process improvement methodologies such as Lean Six Sigma, Agile, etc.

• Experience with process modeling and mapping tools.

• Experience leading and developing remote or virtual teams and training initiatives.

• Proven ability to thrive in ambiguity and drive independent strategic initiatives, providing guidance to others

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The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

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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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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Indonesian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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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Your responsibilities will include designing and implementing platform capabilities to support the AI/ML development and productionization lifecycle, including training, evaluation, deployment, monitoring, and management of models and agents.

You will also design and implement platform integrations with various frameworks in the AI/ML ecosystem, collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps, and ensure the latest AI/ML tooling advancements are available to Databricks' customers.

Additionally, you will mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.

We are looking for a highly skilled and experienced software engineer with a strong background in AI/ML and a passion for building and maintaining open-source platforms.

The ideal candidate will have a BS (or higher) in Computer Science, or a related field, and 5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.

Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment, is also required.

Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring, is essential.

A deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects is preferred.

Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects, are also preferred.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

For specific details on the benefits offered in your region, please click here.

We are committed to diversity and inclusion and welcome applications from candidates of all backgrounds.

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You will play a vital role in improving birth outcomes by ensuring that families feel supported and empowered during this transformative time. You will have access to dedicated administrative and technical support to navigate our systems, as well as charting and documentation support to streamline your workflow.

To join Pomelo's growing community, you have:

• Completed certification/training as a birth and/or full spectrum doula.
• Experience working as a doula with an in-depth understanding of pregnancy, childbirth, breastfeeding, and postpartum recovery.
• Strong verbal and written communication skills, with the ability to connect with families from diverse backgrounds both virtually and in-person.
• Comfortable using telehealth platforms, video conferencing tools, and electronic documentation systems.
• Have availability for virtual and in-person work, as well as evenings and weekends, to accommodate the needs of families.

You will have the opportunity to join a vibrant and growing network of hundreds of doulas, access the Pomelo Doula community for peer support, shared learning, and connection, and maintain your flexibility by choosing how many clients you see through Pomelo.

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About the role: CoreWeave is seeking an experienced Associate General Counsel to support a broad portfolio of regulatory matters across energy, international trade, and emerging AI frameworks. In this role, you will work closely with cross-functional stakeholders to translate complex regulatory requirements into actionable guidance that supports business objectives. The day-to-day includes advising on regulatory risk, supporting product and infrastructure initiatives, and responding to evolving legal requirements in a rapidly scaling environment. You will also play a key role in shaping compliance programs and helping the company stay ahead of regulatory change.

In this Role You Will:

• Provide legal advice on a wide range of regulatory matters, including energy regulation, international trade compliance, and AI governance frameworks.
• Monitor, interpret, and advise on U.S. and international laws impacting operations, including export controls, sanctions, energy market requirements, and emerging AI regulations.
• Partner with business teams (e.g., GTM, Security, IT, EHS, and operations) to assess regulatory risk and develop practical, scalable compliance strategies.
• Support product, infrastructure, and commercial initiatives by embedding regulatory guidance into business decision-making.
• Lead responses to regulatory inquiries, audits, and investigations, and manage relationships with external counsel and regulators.
• Develop and maintain internal policies, procedures, and training programs to ensure compliance with applicable laws and regulations.
• Track and assess emerging regulatory trends across energy, global trade, and AI to proactively inform business strategy.

Who You Are:

• 7+ years of relevant legal experience, preferably with a mix of law firm and in-house experience.
• Demonstrated experience advising on energy regulation, international trade (including export controls and sanctions), and/or technology or AI regulatory frameworks.
• Experience interpreting and applying U.S. regulatory regimes (e.g., OFAC, BIS) and/or international regulatory frameworks.
• Proven experience supporting compliance programs, including drafting policies, procedures, and training materials.
• Experience leading or supporting regulatory inquiries, audits, or investigations.
• Ability to translate complex regulatory requirements into clear, actionable guidance for business stakeholders.
• Experience working cross-functionally with technical, operational, or go-to-market teams.
• Strong judgment, communication skills, and ability to operate effectively in a fast-paced environment.
• Proven ability to manage multiple priorities and work cross-functionally with diverse teams.
• J.D. from an accredited law school and active membership in at least one U.S. state bar (NY, NJ, CA, DC, or WA preferred).

Preferred:

• Experience advising high-growth or technology-driven companies.
• Experience with data center, infrastructure, or energy procurement matters.
• Familiarity with emerging AI regulatory frameworks (e.g., EU AI Act, U.S. federal and state initiatives).
• Familiarity with global regulatory bodies (e.g., EU Commission) and standards organizations.
• Experience supporting global operations and cross-border regulatory or commercial matters.

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

• You enjoy turning complex regulatory challenges into clear, actionable guidance.
• You’re curious about how AI, infrastructure, and global regulation intersect.
• You bring strong expertise in regulatory risk and compliance program development.

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

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

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

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Your responsibilities will include contributing to the roadmap for Applied Training, designing and building a complete research cluster experience, owning the Python SDK, and writing documentation for running popular OSS training frameworks on CoreWeave.

You'll work with infrastructure teams and customers directly, understanding how they structure their internal supercomputing stacks and bringing that knowledge back to what we build.

As a staff software engineer, you'll have 8-12+ years of experience building distributed systems, ML infrastructure, or developer platforms, with real Kubernetes experience and a passion for rigorous engineering enabled by AI-based workflows.

You'll be a good communicator, able to work with customers, translate researcher complaints into system designs, and contribute to the growth and success of our team.

If you're excited about this opportunity, please apply!

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Anthropic's sandboxing infrastructure enables Claude to safely execute code and interact with external systems. As we expand Claude's capabilities, the reliability, security, and developer experience of this infrastructure becomes increasingly critical. We're looking for an engineer to join the sandboxing team and help shape both the client-side library/API and the underlying infrastructure.

In this role, you'll combine deep infrastructure expertise with an obsession for developer experience. You'll help maintain and evolve a system that must be correct, performant, and intuitive to use. You'll work closely with internal teams to understand their needs, burn down errors and edge cases, and build a roadmap that anticipates where the product needs to go. This is a role for someone who finds satisfaction in both the craft of building reliable systems and the empathy required to serve developers and researchers well.

Responsibilities

• Contribute to the client library, API surface, and underlying infrastructure for Anthropic's sandboxing system, ensuring it is reliable, well-documented, and intuitive to use
• Drive down error rates and improve correctness through systematic debugging, monitoring, and proactive fixes
• Help develop and maintain a product roadmap for sandboxing capabilities, balancing immediate needs with long-term architectural improvements
• Partner closely with internal teams using the sandboxing system to understand their requirements, debug issues, and build tooling that serves their use cases
• Respond to incidents and production issues with urgency, conducting thorough root cause analysis and implementing preventive measures
• Build comprehensive testing, observability, and documentation to ensure the system meets a high quality bar
• Collaborate across the sandboxing team, flexing between client-side and infrastructure work as needed

You May Be a Good Fit If You

• Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs
• Obsess over developer experience,you've thought deeply about API design, error propagation, documentation, and the small details that make a library feel well-crafted
• Have experience operating complex distributed systems
• Bring a track record of systematically improving reliability,you've burned down error budgets, built monitoring, and driven issues to resolution
• Can develop and articulate a long-term vision for a product, translating user feedback and technical constraints into a coherent roadmap
• Are comfortable with ambiguity and can context-switch between reactive incident work and proactive product development
• Communicate clearly with both technical and non-technical stakeholders

Strong Candidates May Also Have

• Experience as a founder or early engineer at an infrastructure-focused startup, where you owned a product end-to-end
• Background in security, sandboxing, or isolation technologies (containers, VMs, seccomp, namespaces, etc.)
• Open-source contributions in the Python ecosystem
• Experience building developer tools, CLIs, or platforms used by other engineers
• History of working on incident response and on-call rotations for production systems
• Exposure to reinforcement learning or model training infrastructure

Representative Projects

These are examples of past work that would indicate a good fit,not a description of the role itself:

• Maintaining an open source SDK through multiple major version upgrades while minimizing breaking changes for users
• Leading an initiative to reduce P0 incidents by XX% through improved error handling, retries, and observability
• Building a developer platform at a startup from zero to product-market fit, iterating based on user feedback
• Embedding with an internal team for a quarter to deeply understand their workflows and shipping targeted improvements to a piece of infrastructure they rely on
• Developing a multi-quarter roadmap for a developer tools product, balancing user requests with technical debt reduction

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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Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in English with exposure to diverse accents, dialects, or regional variations.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Thai with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

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: $35/hour - $45/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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Key Responsibilities: Assess Training Needs: Partner with manufacturing, quality, and operations leaders to identify skill gaps, define learning priorities, and align training to site and business objectives. Design and Develop Training: Create or adapt technician and leadership training content, materials, and hands-on learning experiences to meet site-specific needs. Scope & Manage Learning Projects: Own training project plans end-to-end , from needs analysis and design through delivery, resource planning, and post-training evaluation. Deliver & Facilitate Training: Facilitate technician and leadership development programs; coach team trainers to deliver engaging and effective sessions. Manage Manufacturing Onboarding: Ensure the Technician Training team delivers consistent, high-quality onboarding for all new manufacturing hires at the Ohio site. Plan & Schedule Training: Maintain a site-wide training calendar, coordinate resources, and align delivery timelines with production schedules. Track Outcomes & Drive Continuous Improvement: Measure training effectiveness through pre- and post-training metrics; use data and feedback to continuously improve content and delivery. Collaborate & Communicate: Act as a key liaison between production leaders, L&D, safety, and quality to ensure alignment and seamless rollout of new training initiatives. Lead and develop the Tech Training Team: Provide direction and support to technician trainer(s), ensuring excellence in facilitation, documentation, and execution. Enable internal training capability: Develop and facilitate train the trainer programs, and provide resources that enable teams to deliver their own effective training. Partner and expand impact: Engage with vendors and external partners to develop specialized training solutions and strengthen local talent pipeline

Requirements: 8+ years of experience in Learning & Development, Technical Training, or similar roles People leadership experience Proven ability to design, manage, and deliver training programs from concept to completion Strong facilitation skills , able to engage and train both technicians and leaders Excellent organizational skills and ability to manage multiple concurrent projects Experience in a manufacturing or production environment strongly preferred Strong collaborator and communicator who can partner effectively with cross-functional teams Data-driven mindset with a focus on training impact and measurable outcomes Eligible to obtain and maintain an active U.S. Secret security clearance

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The impact you'll have:

• Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents
• Design and implement platform integrations with various frameworks in the AI/ML ecosystem
• Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps
• Ensure the latest AI/ML tooling advancements are available to Databricks' customers, thereby enabling organizations around the world to get more value from their data
• Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review

What we look for:

• BS (or higher) in Computer Science, or a related field
• 3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java
• Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment
• Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring
• Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects
• Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits

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

Our Commitment to Diversity and Inclusion

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You will also be an integral part of achieving industry-leading end-to-end performance benchmarking publications: If MLPerf (Training & Inference), Working closely with NVIDIA (Megatron-LM, TensorRT-LLM & DGX cloud) and the open-source community (llm-d, vLLM and all popular ML frameworks) speak to you, come help us demonstrate CoreWeave's performance reliability leadership in the field.

Responsibilities

• Strategy & Leadership - Define the multi-year benchmarking strategy and roadmap; prioritize models/workloads (LLMs, diffusion, vision, speech) and hardware tiers. Build, lead, and mentor a high-performing team of performance engineers and data analysts. Establish governance for claims: documented methodologies, versioning, reproducibility, and audit trails.

• Perf Ownership - Lead end-to-end MLPerf Inference and Training submissions: workload selection, cluster planning, runbooks, audits, and result publication. Coordinate optimization tracks with NVIDIA (CUDA, cuDNN, TensorRT/TensorRT-LLM, Triton, NCCL) to hit competitive results; drive upstream fixes where needed.

• Internal Latency & Throughput Benchmarks - Design a Kubernetes-native, repeatable benchmarking service that exercises CoreWeave stacks across SUNK (Slurm on Kubernetes), Kueue, and Kubeflow pipelines. Measure and report p50/p95/p99 latency, jitter, tokens/s, time-to-first-token, cold-start/warm-start, and cost-per-token/request across models, precisions (BF16/FP8/FP4), batch sizes, and GPU types. Maintain a corpus of representative scenarios (streaming, batch, multi-tenant) and data sets; automate comparisons across software releases and hardware generations.

• Tooling & Automation - Build CI/CD pipelines and K8s controllers/operators to schedule benchmarks at scale; integrate with observability stacks (Prometheus, Grafana, OpenTelemetry) and results warehouses. Implement supply-chain integrity for benchmark artifacts (SBOMs, Cosign signatures).

• Cross-functional & Community - Partner with NVIDIA, key ISVs, and OSS projects (vLLM, Triton, KServe, PyTorch/DeepSpeed, ONNX Runtime) to co-develop optimizations and upstream improvements. Support Sales/SEs with authoritative numbers for RFPs and competitive evaluations; brief analysts and press with rigorous, defensible data.

Requirements

• 10+ years building distributed systems or HPC/cloud services, with deep expertise on large-scale ML training or similar high-performance workloads.

• Proven track record of architecting or building planet-scale data systems (e.g., telemetry platforms, observability stacks, cloud data warehouses, large-scale OLAP engines).

• Deep understanding of GPU performance (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth), model-server stacks (Triton, vLLM, TensorRT-LLM, TorchServe), and distributed training frameworks (PyTorch FSDP/DeepSpeed/Megatron-LM).

• Proficient with Kubernetes and ML control planes; familiarity with SUNK, Kueue, and Kubeflow in production environments.

• Excellent communicator able to interface with executives, customers, auditors, and OSS communities.

Nice to have

• Experience with time-series databases, log-structured merge trees (LSM), or custom storage engine development.

• Experience running MLPerf submissions (Inference and/or Training) or equivalent audited benchmarks at scale.

• Contributions to MLPerf, Triton, vLLM, PyTorch, KServe, or similar OSS projects.

• Experience benchmarking multi-region fleets and large clusters (thousands of GPUs).

• Publications/talks on ML performance, latency engineering, or large-scale benchmarking methodology.

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As a Software Engineer on Anthropic's Human Data Interfaces team, you'll own the architecture and execution of our data collection pipelines, designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams.

Responsibilities

• Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability
• Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data
• Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods
• Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier
• Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly

You May Be a Good Fit If You:

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
• Are a strong full-stack engineer with broad experience across the stack
• Are very good at building internal tools, including working with users of the tools to understand their needs
• Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health
• Are a quick study,this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective

Strong Candidates May Also Have:

• Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines
• Familiarity with how preference data and reward models are used in AI model training
• Experience working with researchers who are internal users/customers
• Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows
• Strong instincts around system design , building things that evolve gracefully as requirements change
• Experience influencing technical and product direction on a team

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.

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

How to Apply

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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This role requires a builder who can stabilize a post-migration ERP environment, architect controls from scratch, and drive improvements to key metrics,all while championing Claude-powered automation consistent with Anthropic’s AI-first culture.

Responsibilities:

• Design, document, test, and execute AP internal controls for SOX compliance
• Drive remediation of any control gaps identified during design and operating effectiveness testing
• Own AP walkthrough preparation with external auditors and serve as the primary AP point of contact for audit requests
• Own AP systems and design requirements for future systems landscape

AP Operations & Process Optimization:

• Partner with Procurement to optimize the procure-to-pay process
• Oversee end-to-end invoice-to-pay operations across all entities
• Oversee vendor master data integrity, OFAC compliance, and banking change controls
• Manage international AP complexity: VAT/GST coding, SEPA payments, withholding tax, and entity-specific compliance requirements across all entities
• Own month-end close AP deliverables and oversee weekly payment runs across multiple payment methods and banking platforms
• Drive AP cycle time and payment timeliness improvements through root cause analysis and process redesign

Team Leadership & AI Automation (Claudification):

• Lead and develop a lean team, building depth and cross-training to eliminate single points of failure
• Foster a high-trust, collaborative team culture rooted in our team values of collaboration, impact, and curiosity , where team members take ownership of their areas, speak up with feedback, and ask 'could Claude have done that?' after every manual process

You may be a good fit if you have:

• 12+ years of accounts payable experience at a high-growth technology company, including 5+ years in a leadership role owning end-to-end AP operations
• Demonstrated experience leading AP through a major ERP migration (NetSuite to Workday, SAP, Oracle, or equivalent),including data migration, UAT, cutover, and stabilization
• Track record of designing and documenting SOX-compliant AP internal controls in a pre-IPO or public company environment, with direct exposure to external auditor walkthroughs
• Proven ability to reduce late payments and improve AP cycle times through process redesign, automation, and root cause analysis,with specific, quantified outcomes
• Multi-entity, multi-currency AP experience across US and international jurisdictions, including VAT/GST compliance and cross-border payment operations
• Strong cross-functional instincts: proven ability to partner across Procurement, Treasury, Corporate Accounting, Tax, Legal, and Finance Systems teams
• AI-curious builder mindset: experience deploying AI tools to automate AP processes, or genuine enthusiasm for doing so,and comfort creating structure where none exists

The annual compensation range for this role is $230,000-$300,000 USD.

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Responsibilities:

• Collaborate with Engineering, Product Management, Design and other cross-functional teams to build and scale operational infrastructure that supports the launch of innovative products, ensuring a seamless user experience.
• Lead multiple projects simultaneously, managing timelines, resources, and stakeholder expectations to deliver impactful results that align with Stripe's goals.
• Ensure the operations team continuously delivers high quality customer outcomes, through quality monitoring, training, metric observability and process improvement.
• Partner directly with customers to develop Standard Operating Procedures for supporting new Stripe lines of business.
• Lead operational reviews with customers to communicate operational performance and uncover customer concerns.
• Identify critical operational requirements from partner banks and card networks and ensure we can fulfil them.

Requirements:

• Bachelor’s degree or foreign equivalent in Business, Management Science, Computing, Finance or a related field, plus 2 years of experience in product or project strategy in a high-tech growth environment.
• 2 years of experience in executing and delivering complex operational projects working directly with diverse, distributed teams and their cross-functional stakeholders.
• 2 years of experience in working in a fast-paced work environment crafting rapid and strategic fixes to high intensity, sensitive problems.
• 2 years of experience in crafting written and verbal communications designed to solve user problems.

Salary: $140,400 - $210,600/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week.

50% telecommuting permitted.

Travel Requirement: 5% for meetings and onsites.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

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You will be responsible for the full lifecycle of leadership development initiatives, from content creation and facilitation to training assignments, upkeep, and metric-driven continuous improvement. This position will require 30% travel.

Key Responsibilities: Assess Leadership Development Needs: Partner with senior manufacturing, operations, and HR leaders across all sites to identify critical leadership skill gaps, define strategic development priorities, and align training initiatives with enterprise-wide objectives. Design & Develop Leadership Programs: Lead the creation and adaptation of foundational and advanced leadership development content, modules, and experiential learning activities specifically tailored for production and manufacturing leaders. This includes defining learning objectives, curriculum, and delivery methods. Program Ownership & Management: Own end-to-end leadership development project plans – from needs analysis and strategic design through delivery, resource allocation, and robust post-training evaluation across all sites. Facilitate & Deliver High-Impact Training: Directly facilitate engaging and effective leadership development programs for diverse cohorts of production and manufacturing leaders, fostering critical thinking and practical application. Establish Foundational Leadership Training: Develop and manage a standardized curriculum to ensure all new and existing production leaders complete essential foundational leadership training, covering core principles, management best practices, and operational leadership. Manage Training Logistics & Administration: Oversee the assignment and tracking of leadership training participation, maintain curriculum up-to-date, manage scheduling across multiple sites, and ensure seamless delivery of all program components. Track Outcomes & Drive Continuous Improvement: Develop and implement metrics to measure the effectiveness and impact of leadership development programs (e.g., leadership effectiveness scores, retention, performance improvements). Utilize data and feedback to continuously refine and optimize content and delivery strategies. Collaborate & Influence: Act as a key liaison between manufacturing leadership, Human Resources, Global L&D, and other stakeholders to ensure alignment, gain buy-in, and seamlessly roll out new leadership development initiatives across the organization. Enable Internal Facilitation Capabilities: Develop and facilitate 'train-the-trainer' programs and provide resources to empower internal subject matter experts or existing L&D professionals to effectively deliver and reinforce leadership development content within their respective sites or functions. Partner & Expand Impact: Engage with external vendors, academic institutions, and industry experts to bring specialized leadership development solutions and best practices into the organization, strengthening our global talent pipeline. Perform other responsibilities as assigned to support the manufacturing leadership development strategy for manufacturing and production.

Requirements: 8+ years of progressive experience in Learning & Development, Organizational Development, or Leadership Development, with a strong focus on program management. Proven experience designing, managing, and delivering leadership development programs from concept to completion for diverse audiences. Strong facilitation skills with demonstrated ability to engage, inspire, and develop leaders at various levels. Exceptional program management and organizational skills, capable of managing multiple complex projects across different sites concurrently. Experience working within or directly supporting a manufacturing, production, or heavy industrial environment is preferred. Demonstrated ability to collaborate effectively and build strong relationships with cross-functional and senior leadership teams. Data-driven mindset with a proven ability to define metrics, analyze training impact, and drive continuous improvement. Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications: Lean Six Sigma. Experience implementing leadership development programs on a multi-site or global scale. Certifications in leadership assessment tools (e.g., 360 feedback, behavioral assessments). Experience with Learning Management Systems (LMS) and learning experience platforms (LXP) for program administration and content delivery.

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Key Responsibilities:

• Provide embedded CI program support to an Anduril division.
• Support the development and execution of a variety of key CI & Security Investigation team initiatives tailored to the program's unique threats and requirements.
• Coordinate with federal agencies, including the Department of Defense (DoD), Intelligence Community (IC), and Federal Law Enforcement, to access relevant threat information and stay current on evolving adversary tactics.
• Establish and leverage collaborative partnerships across internal stakeholders to identify data necessary to support robust research and analysis of threats from nation-state adversaries to the program's workforce and supply chain.
• Analyze data from various sources to identify threats, anomalous behaviors, and other indicators.
• Produce tailored and strategic products to support the Division.
• Provide analytic support to suspected CI, Insider Threat, and security incidents or issues involving supply chain security.
• Prepare detailed reports and presentations on threat findings, case studies, risk assessments, and recommended actions for multiple audiences.
• Provide relevant CI training and awareness.
• Inform and support program OPSEC plans.

Requirements:

• Bachelor's or Master's degree in Security or Intelligence Studies, Political Science, Criminal Justice, or a related field.
• 7 years of relevant work experience in CI investigations or analysis, Insider threat, people/entity risk vetting, intelligence analysis, assessing complex threats from nation-state actors, and insider threats.
• Experience leveraging critical thinking skills to creatively solve complex problems and produce analysis and recommendations in a fast-paced environment.
• Experience leveraging multiple data sets and tools to support complex research and analysis as well as developing risk assessments and risk mitigation recommendations.
• Experience providing CI support to classified programs.
• Demonstrated understanding of the intelligence threats facing the industry.
• Strong critical thinking, collaboration, and interpersonal skills.
• Proven ability to effectively analyze and communicate complex risks.
• Must possess an active security clearance (Top Secret/SCI is required).

Preferred Qualifications:

• Familiarity with relevant laws, regulations, and standards governing defense industry security.
• Experience conducting analysis of nation-state-related threats for government and private industry.
• Formal analytic training and/or certifications.

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You'll shape controls, architecture, and tooling so that security is part of how the platform works by default. You'll partner closely with research and product teams, enabling them to move quickly while keeping our models, data, and environments protected.

Key responsibilities include:

Architecting security patterns for platforms and services, including network segmentation, service-to-service authentication, RBAC, and policy enforcement in Kubernetes and cloud environments.

Managing identity, access, and secrets for humans and services: workload and cross-cloud identity, least-privilege IAM, and secrets management.

Building secure platforms for data ingestion, processing, and curation: classification, encryption, access controls, and safe sharing patterns across teams.

Writing threat models and reviewing designs with researchers and engineers to help them ship features and experiments in a safe, scalable way.

Automating security checks and building guardrails: policy-as-code, secure infrastructure baselines, validation in CI/CD, and tools that make the secure path the easiest one.

Requirements include:

Bachelor's degree or equivalent experience in engineering, or similar.

Strong background with containers and orchestration (e.g., Kubernetes) and how to secure them (namespaces, network policies, pod security, admission controls, etc.).

Practical experience with Infrastructure as Code (Terraform or similar), including secure patterns for provisioning networks, IAM, and shared services.

Solid understanding of cloud networking and security: VPCs, load balancers, service discovery, mTLS, firewalls, and zero-trust-style architectures.

Proficiency with a systems language such as Rust and scripting in Python for building platform components and internal tools.

Evidence of owning complex, production-critical systems, including debugging issues that span infra, security, and application layers.

Preferred qualifications include experience with ML infrastructure, GPU clusters, or large-scale training environments, as well as background in AI labs, HPC environments, or ML-heavy organizations.

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