Location: Dubai, United Arab Emirates
Role Overview
A key position providing comprehensive support to the CEO across executive priorities and selected personal matters. The role requires a proactive, organised and digitally confident professional who can operate effectively in a fast-paced environment while leveraging Artificial Intelligence (AI), automation and AI-powered agents to enhance productivity, streamline workflows and improve efficiency.
Beyond traditional executive assistance, the successful candidate will be expected to identify opportunities for AI implementation,
build and configure AI agents
, and automate repetitive tasks and multi-step workflows.
Core Responsibilities
Executive Support
Manage the CEO’s complex calendar, meetings, priorities and schedule.
Coordinate with internal and external stakeholders and ensure timely follow-up on actions and commitments.
Anticipate upcoming requirements, identify conflicts and proactively resolve scheduling and coordination issues.
Prepare meeting materials, briefings, correspondence and executive communications as required.
Track key actions, deadlines and decisions, ensuring matters are followed through to completion.
Coordinate business travel, itineraries and associated logistics.
Exercise sound judgement in determining what requires the CEO’s attention and what can be resolved independently.
Handle sensitive and confidential information with a high degree of discretion and accuracy.
AI, Automation & AI Agent Development
Build, configure and implement AI agents to support executive operations, research, scheduling, task management and administrative workflows.
Develop AI-powered solutions that automate repetitive tasks, streamline processes and reduce manual intervention.
Integrate AI tools with relevant business applications to improve information management, communication and workflow efficiency.
Implement AI-assisted solutions for meeting preparation, minutes, action tracking, document creation, research and reporting.
Identify opportunities to apply AI to everyday business challenges and translate them into practical, measurable improvements.
Test, refine and maintain AI agents and automated workflows to ensure reliability, accuracy and effectiveness.
Stay updated on emerging AI technologies, agent-building platforms and automation tools.
Apply appropriate data privacy, security and human oversight when using AI, particularly when handling confidential information.
Personal Support
Provide discreet and efficient support with selected personal matters, appointments, travel and day-to-day logistics.
Coordinate personal schedules, bookings, arrangements and other practical requirements.
Anticipate needs and resolve routine matters independently where appropriate.
Learn and consistently apply the CEO’s preferences and ways of working.
Use appropriate digital tools and automation to simplify scheduling and personal administration.
Maintain professional boundaries and strict confidentiality at all times.
Requirements
7+ years of proven experience in an Executive Assistant, Executive Coordinator or similar role, including direct support to a CEO or other C-level executive.
Hands-on experience building or configuring AI agents
, beyond basic use of ChatGPT or other AI assistants.
Practical understanding of AI tools, large language models (LLMs), workflow automation and application integrations.
Ability to design automated workflows and connect applications using integrations, APIs, or no-code/low-code platforms.
Experience coordinating with senior internal and external stakeholders such as board members, investors, owners, or high-profile clients.
Mid-level English proficiency.
Experience with platforms such as n8n, Make, Zapier or comparable AI and automation tools is an advantage.
Prior real estate or property management experience is an advantage.
Location: Dhahran, Saudi Arabia
We are seeking an experienced Instrumentation Engineer to join our Mechanical Services Shops team, responsible for rotating and static equipment repair and component fabrication.
The successful candidate will ensure the accuracy, reliability, availability, and lifecycle integrity of instrumentation across industrial machinery and facility systems. The role involves instrument engineering, calibration, troubleshooting, preventive maintenance, commissioning, and continuous improvement of instrumentation and control systems.
Key Responsibilities
Instrumentation Engineering: Specify, evaluate, and maintain pressure, temperature, flow, level, vibration, speed, position, force, torque, gas, and analytical instruments.
Calibration and Metrology: Develop calibration plans, establish tolerances and intervals, maintain traceability, document calibration results, and assess out-of-tolerance conditions.
Troubleshooting and Maintenance: Diagnose faults involving sensors, transmitters, wiring, grounding, signal conditioning, I/O systems, instrument loops, networks, alarms, and protection systems.
Controls and Commissioning: Prepare instrument datasheets, loop diagrams, hook-ups, cause-and-effect documentation, calibration procedures, FAT/SAT plans, loop checks, and commissioning records.
Asset and Change Management: Maintain instrument registers, critical spares, configuration backups, calibration history, obsolescence plans, bypass controls, Management of Change (MOC) records, and contractor quality documentation.
Reliability Improvement: Develop preventive-maintenance strategies, investigate recurring failures, implement corrective actions, and ensure compliance with applicable engineering and safety standards.
Minimum Requirements
Bachelor's degree in Instrumentation, Control Systems, Electrical, Electronics, Automation, or Mechatronics Engineering from a recognized and approved program.
Minimum 12 years of industrial instrumentation experience, including at least 7 years maintaining and commissioning instrumentation for manufacturing equipment and facility systems.
Strong knowledge of industrial sensors, transmitters, analyzers, vibration and speed probes, control valves, data acquisition, signal standards, grounding, and calibration.
Hands-on experience with PLC/DCS I/O, HART or fieldbus devices, loop checking, alarm and trip systems, instrument networks, and OEM machine interfaces.
Proven ability to develop calibration and preventive-maintenance plans, troubleshoot recurring failures, and manage instrument configurations.
Preferred Qualifications
ISA CCST or CAP certification.
Vendor-specific DCS/PLC training.
Vibration instrumentation training.
ISO/IEC 17025 metrology training.
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
International Environment
Working on the latest tech for the Insurtech Market Leader
Exposure to Diverse HR Functions
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We're the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We've grown our annualized revenue by over 30x since January 2021
We're constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About The Role
We are seeking a motivated and enthusiastic Human Resources Intern to join our HR team. This is a fantastic opportunity for a student or recent graduate who is looking to gain practical experience in a dynamic and fast-paced environment.
The HR Intern will support a wide range of HR activities and projects, including document management, recruitment coordination, onboarding and offboarding processes, employee engagement events, and general HR administration.
What You Will Do
Assist with maintaining, organizing and preparing HR-related documents
Support the onboarding and offboarding processes, including preparing documents, collecting fingerprints, and conducting office tours
Support employee engagement initiatives and office events
Assist with recruitment activities, including candidate sourcing and interview scheduling when required
Provide general HR and administrative support, such as scanning, filing, pantry arrangements, and vendor coordination
Contribute to HR projects and process improvement activities as assigned
Undertake other duties as assigned
What We Need
Currently enrolled in a Bachelor's degree program in Human Resources, Business Administration, or a related field, or a recent graduate
Strong organizational and time management skills
Excellent communication and interpersonal skills
Ability to maintain confidentiality and handle sensitive information
Proficiency in Google Workspace
Keen attention to detail
Proactive and willing to take initiative
Ability to work collaboratively in a team environment
Positive attitude and eagerness to learn
Must be based in Ho Chi Minh City, Vietnam
Why You'll Love Working Here
International Environment
Professional Development Opportunities
Company activities and events
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Espoo; Amsterdam; Lisbon; Valencia; Berlin; Athens; Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Geospatial Image Analyst (GEOINT)
- Location: EU
- Department: Data
- Reports to: Senior SAR Image Analyst
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Geospatial Image Analyst within ICEYE’s Data line of business, you will play a central role in the exploitation and interpretation of Synthetic Aperture Radar (SAR) imagery - with a primary focus on Defence & Intelligence (D&I) applications and use cases.
This position is suited for an individual with several years of hands-on experience in geospatial data analysis and image interpretation, who is ready to deepen their expertise in SAR exploitation and operational delivery. You will contribute directly to mission-critical insights by transforming complex radar data into actionable intelligence products.
Working closely with our Image Analysis, Sales Engineering, Marketing, Product and Sales teams, you will combine your analytical acumen with advanced geospatial tools - including AI workflows - to provide stakeholders with timely, accurate, and operationally relevant geospatial intelligence.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Conduct advanced SAR image exploitation and analysis to support D&I use cases such as activity monitoring, change detection and pattern-of-life analysis.
- Develop and deliver analytic reports, visualizations, and geospatial products that meet customer requirements and operational standards.
- Collaborate with product and delivery teams to define analysis specifications, interpret results, and ensure technical outputs align with needs.
- Apply geospatial, remote sensing, and SAR science expertise to enhance ICEYE’s analytical capabilities and data value proposition.
- Engage with customers and partners, when required, to explain methodologies, interpret outputs, and support the operational use of ICEYE data.
- Stay current with advances in SAR technology, geospatial tools, and D&I analytic tradecraft, incorporating new techniques and insights into daily work.
WHAT WE’RE LOOKING FOR
Must haves:
- 3-5+ years of experience in geospatial analysis, SAR/satellite imagery (electro-optical, thermal, hyperspectral etc) exploitation, or related D&I analytical functions, in defense environment.
- Proficient in SAR interpretation, with working knowledge of common geospatial software e.g. QGIS, SOCET GXP, ArcGIS.
- Strong understanding of remote sensing and related geospatial principles.
- Excellent written and verbal communication skills, with the ability to convey complex analytical findings clearly to technical and non-technical audiences.
- Ability to adapt quickly, manage multiple tasks, and thrive in a fast-paced environment.
APPLICATION PROCESS
- TA Screen;
- Hiring Manager Interview;
- Practical Task + presentation;
- Final Interview with Senior Management.
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: North York (Toronto), ON, Canada
Are you a skilled Chaldean interpreter looking for a flexible and rewarding opportunity?
We are seeking talented individuals proficient in
Chaldean and English
to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! This is a fully remote position.
As a remote interpreter, you play a significant role in facilitating communication between
Chaldean
and English speakers. The interpreter needs to be able to process information quickly and accurately in a professional manner. It is essential to ensure a quiet and secure environment. Notepads, writing utensils, glossaries, and dictionaries are useful tools.
Candidate Qualifications:
Fluency in
English and Chaldean
Minimum
2 year of interpretation experience
Excellent listening, retention, and note-taking skills to maintain a high level of accuracy
Ability to render correct concepts and meanings according to established interpretation protocols, avoiding omissions or additions
Ability to explain certain cultural concepts to avoid miscommunication, with permission or at the request of the client
Technical Requirements:
90% English proficiency
Steady wired internet connection
USB wired headset
Windows 10 or Mac
What we offer you:
Fully remote — work from your home office
Full-time contractor position
Immediate availability to start after onboarding
Monthly payments
Your responsibilities:
Answer calls professionally, acting according to the interpreter’s code of conduct
Be familiar with industry-specific vocabulary (especially healthcare and medical terminology)
Participate in internal professional training
Communicate and report to your team leader
*Based on your location, language testing and background check may be required.
Join us and become part of a dynamic team that values your skills. Apply today and start making a difference in the world of interpretation!
Location: Chiang Mai, Thailand
Language: Hmong
Are you a skilled interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Hmong and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you!
Requirements:
90% English proficiency
Steady wired internet connection
Noise canceling, wired headset
Windows 10 or newer, Apple or Linux OS
8 GB Ram memory
Intel Core i5 or equivalent processor
USB video camera with 720 or higher resolution
What we offer you:
Fully remote position
Full-time
Immediate availability to start working after onboarding
Monthly payments
Your responsibilities:
Answer calls professionally, acting according to the interpreter’s code of conduct
Be aware of the specific vocabulary of the industry the interpreter works with (healthcare and medical, specifically)
Go into internal professional training
Communicate and report to your team leader
Your background and experience:
Proficiency/bilingual/native level of English and Hmong
2+ years of interpreting experience
High emotional intelligence and tolerance of diverse cultures
High level of communication, listening, note-taking, and memory retention skills
Join us and become part of a dynamic team that values your skills and offers opportunities for growth and development. Apply today and start making a difference in the world of interpretation!
Location: (Multiple States), United States
About Improvado
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do.
What You Will Do
Technical SEO and GEO
Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture.
Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines.
Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes.
Website optimization and conversion
Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages).
Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline.
Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking).
Analytics and measurement
Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue.
Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools.
Analyze data to find growth opportunities, and report findings in clear, decision-ready form.
Product and messaging input
Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy.
Work with stakeholders so website content reflects ICP needs and the product’s value propositions.
What We Are Looking For
Must have
3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion.
Strong technical SEO skills and a good understanding of how websites are built, served, and rendered.
Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast.
Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it.
Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data.
Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents).
Ability to work effectively with developers, designers, and marketers in a distributed team.
Nice to have
B2B SaaS or marketing technology background.
Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript.
SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows.
Experience with CRO and experimentation platforms.
Exposure to product marketing, positioning, or messaging.
You are
Analytical, curious, and driven by measurable outcomes.
Self-directed and comfortable owning a channel without heavy supervision.
A clear communicator across time zones.
What We Offer
Remote-first environment
Competitive compensation
Medical and dental benefits
401K plan
Unlimited PTO
Paid holidays
Professional development reimbursement
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Infrastructure Engineering team
enables Reddit to deliver Reliability, Performance, and Efficiency, with a single opinionated technology stack. We empower Reddit developers by delivering a reliable, scalable, and automated foundation - unifying compute, seamless deployments, robust storage, and high-performance messaging to maximize developer velocity and system resilience.
This centralized role hires across several high-impact teams, including:
Messaging:
Delivers a reliable, performant, and efficient platform to support asynchronous communication across all products and services at Reddit.
Compute:
Provides a resilient, high-performance, and cost-effective abstraction layer that streamlines application deployment and execution management across systems.
Build & Deployment:
Builds platforms and developer tooling that enable engineers to build, test, and safely deploy software across Reddit’s infrastructure.
Consumer IAM:
Authentication, authorization, and account infrastructure services.
Core Systems & Libraries:
Builds the foundational services that power Reddit.
Security:
Builds software that improves the security and reliability of Reddit’s infrastructure.
GRC (Governance, Risk & Compliance):
Builds software and automation that help Reddit manage risk, monitor controls, and scale security and compliance programs.
What You’ll Do
Cross-Functional Product Architecture:
Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions.
End-to-End Delivery:
Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability.
Metrics & Experimentation-Led Engineering:
Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions.
API & System Performance:
Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance.
Technical Rigor & Modern Tooling:
Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently.
In your day-to-day, you will:
Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals.
Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity.
Amplify: Mentor, coach, and collaborate with other technical contributors
Collaborate: Work together with a variety of cross functional teams across Reddit Engineering.
Evolve: Learn and improve your own technical and non-technical abilities
Who you might be:
5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure.
Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java
Experience with essential cloud infrastructure (Kubernetes, IC/CD, AWS, GCP)
Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems.
Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
Degree in Computer Science or equivalent technical field.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,000
—
$267,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Cyprus; Portugal; Canada
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met.
The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.
THE OPPORTUNITY
- Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives
- Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness
- Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities
- Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements
- Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations
- Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes
WHAT YOU BRING
- 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes
- 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies
- 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows
- Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States
- Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability
- Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions
- Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality
- Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion
- Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies
- Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms
- Experience supporting vendor selection, implementation, or integration of regtech solutions
NICE TO HAVES
- ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met.
The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.
THE OPPORTUNITY
- Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives
- Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness
- Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities
- Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements
- Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations
- Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes
WHAT YOU BRING
- 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes
- 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies
- 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows
- Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States
- Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability
- Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions
- Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality
- Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion
- Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies
- Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms
- Experience supporting vendor selection, implementation, or integration of regtech solutions
NICE TO HAVES
- ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters.
In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field.
As a Forward Deployed Engineer, you will:
• Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments.
• Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments.
• Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance.
• Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs.
• Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs).
• Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features.
• Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks.
You may be a good fit if you have:
• 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments.
• Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI).
• Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance.
• Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo).
• Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads.
• Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders.
• The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers.
• Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Machine Learning Engineer, Customer Memory.
About the job
This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves.
You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work.
Responsibilities
In this role, you’ll:
Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets.
Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking
Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships.
Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces.
Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands.
A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability.
Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn.
Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production.
Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking.
Desired:
Experience with Go and/or Python.
Experience with event-streaming systems (e.g. Kafka).
Experience building LLM-backed products.
Practical experience applying ML, e.g. building, evaluating, or productionizing models.
Location
This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: San Francisco, CA
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
We're looking for a sharp, positive, and motivated self-starter to join our Mid Market Acquisitions team in San Francisco! In addition to laying the foundation of the team, the Client Partner will be responsible for prospecting and establishing net new partnerships with key brands and ensuring they meet their business objectives using Reddit's advertising suite.
Location:
This role is required to work in-person from our San Francisco office 1-2 days per week. Please ensure you can realistically commit to residing in this area before applying.
Core Responsibilities:
Prospect into and collaborate with prospective customers to deliver Reddit solutions that help achieve those customers’ marketing and business goals
Establish new relationships, acquire new clients (both direct and agency-driven), and bring them onto the platform in a way that sets them up for long-term success
Identify areas of additional opportunity within existing client relationships, including new lines of business, and move them through to close
Collaborate with Account Managers to create long-term, mutually beneficial partnerships between your customer base and Reddit
Act as the CEO of your book of business, and take full ownership of strategic bets, revenue forecasting, and ensuring operational rigor
Communicate feedback on our sales processes, narratives, and products to advocate for customers and improve the team's effectiveness and efficiency
Qualifications:
4-7 years of experience in digital media with at least 1-3 years of experience in sales
High familiarity with sales tools for research, prospecting, prioritization, and client outreach at scale
A hunger for identifying, prospecting, and closing new business
Ability to manage a book of business greater than 30 accounts
Subject matter expertise in the social media landscape and native advertising
Positive outlook, team player
Demonstrated high achievement against sales targets
Motivated self-starter who thrives in unstructured environments
BA / BS degree or equivalent work experience
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and will also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$102,400
—
$143,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Mexico City, Mexico
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Supervisor, Billing Operations.
About the job
We are seeking an experienced Billing Supervisor to support end-to-end order processing, invoicing, and post-billing communications for sales teams and customers. In this role, you will work closely with Deal Operations, Revenue Accounting, Collections and Sales to ensure smooth contract execution and issue resolution.
You will directly lead and support an operational team based in Mexico while collaborating cross-functionally with global counterparts across the United States, Ireland, and India.
Responsibilities
In this role, you’ll:
Lead and supervise an international team of analysts and senior analysts handling post-billing communications, invoice portal processing, and issue remediation.
Oversee daily order management, billing, and communications to ensure timely invoicing, precise contract provisioning, and rapid issue remediation while holding the team accountable to key SLAs.
Serve as an escalation point for billing, collections, and order management inquiries, delivering timely resolutions for both internal stakeholders and external customers.
Review and validate customer contracts across multiple internal systems to maintain data integrity and accurate financial reporting.
Execute and own SOX-compliant month-end reconciliations for billing and provisioning, ensuring full data completeness and accuracy.
Coordinate and fulfill audit deliverables for internal/external auditors and tax consultants during quarterly and annual reviews.
Drive continuous operational improvements, participate in system enhancement initiatives, and lead new process implementations.
Onboard, train, and mentor team members to maintain high operational standards across the team.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
5+ years experience in a billing operations role
Experience with Salesforce
Experience with supporting team members from a supervisory standpoint
Excellent communication skills for internal and external stakeholders
Proficiency in Excel
Strong attention to detail
Ability to prioritize and multitask throughout high volume order processing
Ability to identify, analyze, and resolve issues independently
Collaborative working style and experience working cross-functionally
Ability to support flexible timezone meetings periodically
Excellent written, and verbal communication skills in English
Desired:
Experience working in the SaaS/technology industry
Experience working with an international team
Knowledge of and experience with SOX controls
Experience with Zuora
Location
This role will be remote, and based in Mexico City, Mexico.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£265,000
—
£375,000 GBP
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
$350,000 to $500,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis.
RESPONSIBILITIES:
- Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability.
- Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability.
- Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities.
- Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans.
- Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints.
- Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency.
QUALIFICATIONS:
- 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry
- Advanced Excel skills and a strong understanding of retail math required.
- Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus.
- Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions.
- Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing.
- Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Dhahran, Saudi Arabia
СтажёрMust be based in Ho Chi Minh City, Vietnam
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
(Multiple States), United States; Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast; A clear communicator across time zones
УдалённоseniorRemote - United States
УдалённоseniorUnited Kingdom; Brazil; United Arab Emirates; Ireland; Cyprus; Portugal; Canada; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
ОфисUnited States; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоГеография найма не уточнена
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
middleSan Francisco, CA
Mexico City, Mexico; Ability to support flexible timezone meetings periodically
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
San Francisco, CA | New York City, NY; Most full-time research roles at Anthropic require relocation to San Francisco
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