Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.
As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.
In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python
Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite
Cloud & Platform: AWS, GCP, Azure
Observability & Monitoring: Grafana, Prometheus, Datadog
CI/CD & Automation: Jenkins, CircleCI, GitHub Actions
Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies
Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc)
What You’ll Do
Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
Write high-signal test strategies for complex features and automate them across multiple environments.
Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
Build internal tools and proof-of-concepts using AI/LLM technologies to:
Accelerate debugging and failure triaging
Generate high-quality test scenarios
Detect flaky patterns or regression risks
Improve log analysis and root-cause identification
Enhance developer and QA productivity
Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.
Collaborate with engineering and product leaders to align testing priorities and business objectives.
Skills We’re Looking For
6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
Deep understanding of OOP principles and strong proficiency in Java.
Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite.
Experience working with backend automation frameworks.
Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale.
Deep understanding of database internals
Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
Bonus Skills
Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL)
Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios.
Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure).
Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs.
#LI-HYBRID
#LI-VM1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote (Philippines); Remote (APAC); Remote (Romania); Remote (Central & South America)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
ABOUT THE ROLE
The Collections team under Billing is responsible for collecting payments from workplaces (e.g., healthcare facilities). The Billing Representative (BR) is responsible for ensuring that the assigned workplaces pay their invoices quickly and on time. Cash is the lifeline of any company. This is a very critical role to ensure that the cash flows for the company are smooth. The BR will reach out to the workplaces through phone and email to follow up on payments, get a commitment of payment ("promise to pay"), and ensure that the workplaces honor these commitments. The BR will work with the workplaces and the respective internal teams to ensure any roadblocks in collecting the payments are removed. The role will require cross-functional collaboration with Billing Disputes, Sales, Customer Support, and other teams to achieve the desired goals.
RESPONSIBILITIES
- Monitor accounts to identify outstanding debts.
- Call and email accounts payable contacts, administrators, and others as needed to ask about their overdue payments and upcoming dues.
- Build relationships with workplaces (e.g., properly set expectations about our billing policy, explain NET & Dispute Terms, etc.).
- Identify the root cause of non-payment and resolve billing concerns.
- Report on collections updates and accounts receivable status.
- Identify critical accounts and devise SMART action plans to address issues.
REQUIREMENTS AND SKILLS
General
- Professional and clear communication (verbal and written).
- High attention to detail.
- Receptive to feedback (highly coachable).
- Preferred: experience with Google Drive suite, Slack, Salesforce, soft phone software like Amazon Connect.
Technical
- Comfortable with math and data (e.g., calculating payment plan instalments).
- Ability to build relationships with customers.
- Strong judgment in customer-facing decisions and live interactions.
- Negotiating skills.
QUALIFICATIONS
- Open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively.
- No specific degree required—we care about what you can do, not just what’s on your résumé.
WHY JOIN CLIPBOARD?
- 100% Remote. Work from anywhere in the world.
- Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth.
- A hiring process that rewards skills, not just experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials.
- Opportunity to make a significant impact with our workplace customers.
SYSTEM REQUIREMENTS
To succeed in this role, you must have:
- A reliable laptop/desktop (no Chromebooks or Linux OS).
- Minimum 20 Mbps wired internet connection.
- Wired headset for clear communication.
- A quiet, distraction-free workspace.
- Stable power and internet connectivity.
HIRING PROCESS
1. Application form: This includes basic billing rep skill-based questions. Some questions result in automatic rejection, so please approach these with diligence as they assess your ability to handle real problems and client situations.
2. Case Study: Collections scenarios (identifying at-risk accounts, action plans, email writing)
3. Interview 1: Collections simulation
4. Interview 2: Collections simulation
5. Offer
You will receive an email with the next steps in the process within 2 days of your application. Please check your spam folder! If you don’t see the email, make sure it hasn’t been filtered out or blocked.
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Remote, Bay Area, CA, US
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
More than 10 million developers build on it, from solo founders shipping over a weekend to teams and builders via Vercel, Lovable and Stripe, and every one of them reaches Supabase through a surface: an API, an auth flow, an SDK, or a Partner's product with Supabase integrated.
The current and next wave of software leans on those surfaces harder than any before it.
Agents now act on behalf of developers and end users, authentication has to work machine-to-machine as seamlessly as it once worked human-to-human, and independent platforms increasingly need to authenticate, delegate, and coordinate with each other without a person in the loop. For a platform built on Postgres with Auth, Compute, Storage and generated Data APIs at its core, the surfaces where Supabase meets Partners and their systems are some of the most important avenues that we own - this role owns these surfaces.
This role owns a focused portfolio of those Partners. Not the platform as a whole, but a small number of strategic Partners whose integrations you are accountable for making excellent. Success here is a product measure, not a commercial one: the integration is high quality, the developers who use it are well served, and it keeps improving. That means living close to those developers, obsessing over where the integration fails them, and turning what you learn into the roadmap. It is a product and engineering job first, because the best integrations are won in architecture reviews and pull requests, not in meetings.
WHAT YOU'LL BE RESPONSIBLE FOR
- Owning the success of a focused portfolio of strategic Partners, a small number of them rather than the platform as a whole. You are accountable for the outcome of each partnership: a high-quality integration that the developers who use it reach for, and that keeps getting better.
- Living close to the developers who use these integrations. Talking to them constantly, finding where each integration breaks down in real use, and building the roadmap from that signal rather than from a Partner's wishlist.
- Deciding the right integration model for each Partner: what Supabase owns, what the Partner owns, what you build jointly, and what stays open and Partner-agnostic, reading whether the two roadmaps run together or diverge and choosing accordingly.
- Working hands-on with each Partner's product and engineering counterparts to ship. Holding your own in an architecture review and a code-level design discussion, and turning strategy into shipped, high-quality integrations rather than long conversations.
- Setting the quality bar for what a great integration looks like, and building the mechanisms (documentation, tooling, guardrails, versioning) that hold every Partner to it as adoption scales.
- Defining what success looks like for each integration and measure it honestly: adoption by the developers who use it, integration quality, and reliability in real use. Using those signals to decide how deep to go with each Partner and where to push the integration next.
YOU MIGHT BE A GOOD FIT IF YOU:
- Have 7+ years of product management on developer tools, or are an ex-founder with strong product instincts, and are technical enough to read an architecture doc, follow a design discussion, and ask the right questions.
- Are based in the San Francisco Bay Area or can travel there regularly.
- Have shipped integration or platform surfaces that other companies' systems build against, owning APIs, auth or identity flows, or developer-facing platform surfaces end to end, and can reason at the product level about how two independent systems should authenticate and exchange data: where to be open, where to be strict, and where trust lies in these integrations. Familiarity with more recent primitives like workers/agent sandboxes and developer-tooling products, or with machine-to-machine authentication, is a bonus.
- Are biased toward speed, and would rather ship something imperfect (but secure) while learning than spend another month polishing a spec.
- Build with what you own, using the surfaces on your roadmap the way a Partner would: standing up an auth flow, calling the Data API, deploying a database, wiring Supabase into another product. You form opinions through first-hand use.
- Comfortable using AI tools to compress the slower parts of the role, like research, drafting, and synthesising feedback, so you spend more time on judgment calls.
- Work async by default. Supabase is fully remote, so you make decisions in writing and move work forward without meetings.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Supplier Quality Engineer - Electronics
- Location: Finland
- Department: Mission Assurance & Reliability
- Reports to: Manager, Mission Assurance & Reliability
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO)
Why this role matters:
As a Supplier Quality Engineer - Electronics, you’ll play a key role in ensuring the quality, reliability, and scalability of ICEYE’s external manufacturing ecosystem. You will drive supplier quality activities across the full supplier lifecycle, from supplier selection and qualification to ongoing performance management and continuous improvement.
Working closely with Supply Chain, Engineering, AIT Engineering, and external manufacturing partners, you will help ensure that critical electronic components and assemblies meet the highest standards for mission-critical space hardware. Your work will directly support ICEYE’s ability to deliver reliable, manufacturable, and high-performance systems at scale.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Lead supplier preselection activities and supplier audits to assess capability, maturity, and compliance with ICEYE and industry standards
- Define and communicate technical and quality requirements to suppliers, ensuring clear understanding and consistent compliance across the supply chain
- Monitor supplier performance through quality, delivery, and responsiveness metrics, driving corrective and continuous improvement actions where needed
- Manage supplier change requests, part approvals, process approvals, and configuration control activities together with Engineering and Configuration Management teams
- Lead supplier part qualification activities to ensure compliance with technical, quality, and regulatory requirements before production release
- Identify and proactively mitigate supplier-related risks to support continuity of supply, product quality, and delivery performance
- Collaborate closely with Design and AIT Engineering teams to improve manufacturability and inspectability of electronic assemblies and components
- Act as the primary point of contact for supplier-related quality issues, including non-conformances, deviation requests, and waiver management
What we’re looking for
Must haves:
- Degree in Engineering, preferably in Electrical Engineering, Electronics, Aerospace Engineering, or a related field
- Strong experience in supplier quality management for high-reliability electronics, including audits, qualification activities, and supplier performance management
- Deep understanding of electronics manufacturing processes and requirements for high-performance / harsh-environment electronic products, including PCB assembly, cable and harness assembly, and inspection methodologies.
- Experience managing non-conformances, root cause analysis, corrective and preventive actions in high-reliability manufacturing environments
- Ability to read and interpret schematics, PCB layouts, bills of materials, and detailed technical specifications
- Strong understanding of traceability, configuration control, and change management for mission-critical hardware
- Data-driven mindset with the ability to analyze supplier performance and identify improvement opportunities
- Strong communication and stakeholder management skills across suppliers and cross-functional internal teams
- Ability to drive results and influence decisions without direct authority
- Structured problem-solving approach with strong analytical thinking skills
- High level of ownership with a proactive and hands-on working style
- Ability to manage multiple priorities in a fast-paced and evolving environment
- Ability to travel at least once a month to meet with our suppliers
Nice to haves:
- Familiarity with IPC-A-610 Class 3, IPC/WHMA-A-620 Class 3, J-STD-001, and ECSS standards
- Experience working with ERP systems in production environments
- Experience in aerospace, defense, automotive, or other high-reliability manufacturing industries
Application Process
- Screening
- Initial Interview
- Task & Presentation
- Final On-site Interview
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 and we will 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: Philippines; India; Mexico City, Mexico; Mexico; Cairo, Egypt; Brazil; Malaysia; Indonesia
Workplace: remote
About the Role
We are looking for a detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team. You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators. This role is critical to maintaining the accuracy and reliability of training data used for robotics AI models.
What You'll Do
- Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal).
- Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details.
- Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments.
- Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over."
- Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).
- Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes.
- Provide specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples.
- Participate in periodic calibration sessions with the team and client to align QC standards with evolving guidelines or edge-case resolutions.
- Maintain a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project).
What We're Looking For
Required:
- Excellent written English and strong reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos.
- Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).
- Strong grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy.
- Ability to apply a detailed, structured style guide consistently and make sound judgment calls in ambiguous or edge-case scenarios.
- Comfort giving clear, specific, and constructive feedback to annotators (written feedback, not just pass/fail marks).
- Reliable, self-directed work habits, with the ability to work independently while meeting review turnaround expectations.
Nice to Have:
- Prior experience in a QC, editing, proofreading, or annotation review role.
- Experience with video annotation, data labeling, or transcription QA specifically.
- Familiarity with robotics terminology (grippers, end-effectors, manipulation).
- Experience with annotation tools such as Label Studio, including review/approval workflows.
#L1-CC1
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Philippines; India; Cairo, Egypt; Mexico City, Mexico; Mexico; Brazil; Malaysia; Indonesia
Workplace: remote
About the Role
We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes. You'll watch short videos of robots performing manipulation tasks (filmed from three synchronized camera angles) and produce precise, structured, natural-language descriptions of the actions taking place. This work directly supports the development of robotics AI models and requires strong written English, sharp observational skills, and the discipline to follow a detailed style guide consistently.
What You'll Do
1. Watch short robot manipulation videos, each filmed from three synchronized camera views (an overhead view and views from each of the robot's two wrist-mounted cameras).
2. Break each video into time segments and write clear, natural-language descriptions for each segment.
3. Apply labels at three levels of detail for each applicable segment:
- Atomic motion (a few seconds) — a single small movement (e.g., "close fingers around the red handle")
- Skill / subtask (several seconds to ~20 seconds) — a complete, meaningful action (e.g., "pick up the red block by its edge")
- Task / goal (up to ~1 minute) — the overall purpose of a sequence of skills (e.g., "place all blocks in the container")
4. Ensure every moment of video is covered by a label at two or more of these levels — no gaps, including idle or pause moments.
5. Accurately describe exactly what happens, including when something doesn't go as planned (a dropped object, a failed grasp, a slipped grip). Precision matters more than making the robot look successful.
6. Cross-reference all three camera angles: use the overhead view to understand the overall scene and object identity, and the close-up wrist views to confirm exact contact and grasp details.
7. Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement, applying it consistently across many episodes.
8. Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.
What We're Looking For
Required:
1. Strong written English — you'll write dozens of short, precise descriptive sentences per video and need to vary your language rather than repeating the same phrases.
2. Sharp attention to detail — able to distinguish small differences (a successful grasp vs. a fumble, a push vs. a drag, which specific object part is being touched).
3. Comfort following a detailed, structured style guide and applying it consistently, even in ambiguous or edge-case scenarios.
4. Basic comfort with spatial/mechanical description (left/right, above/below, naming object parts like handles, lids, or edges).
5. Reliable, self-directed work habits — this is often heads-down work with periodic check-ins rather than close supervision.
Nice to Have:
1. Prior experience with video annotation, data labeling, transcription, or QA work.
2. Familiarity with robotics terminology (grippers, end-effectors, manipulation) — helpful but not necessary, as the style guide is self-contained.
3. Experience with annotation tools such as Label Studio.
#L1-CC1
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: New York City, NY; 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:
As manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across payers, providers, life sciences, medtech, and other healthcare verticals. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, Claude Science, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements.
Responsibilities:
Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.
Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams.
Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment.
Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.
Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption.
Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.
Contribute to thought leadership through conference presentations, webinars, and technical content creation.
Stay current with emerging AI trends and the evolving ecosystem.
You may be a good fit if you
:
7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.
3+ years of technical pre-sales management experience.
Have sold complex technical products to Healthcare and Life Sciences companies.
Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts.
Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles.
Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.
Have excellent communication, collaboration, and coaching abilities.
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams.
Have at least a high level familiarity with the architecture and operation of LLMs.
Have a passion for making powerful technology safe and societally beneficial.
Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.
Strong candidates may have
:
Enterprise pre-sales leadership at scale
: 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.
AI Technical Depth + Executive Engagement
: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles.
Deep HCLS GTM Experience
: Demonstrated success adapting technical approaches to customers in payers, providers, life sciences, medtech, or other healthcare verticals.
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:
$315,000
—
$380,000 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: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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
Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it.
As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role.
Key responsibilities
Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration
Extend device-trust and zero-trust access controls so company systems are reached from managed devices bound to the right person and carrying the right level of access, treating the experience of fellow employees as a design constraint rather than an afterthought
Build the automation and integrations that let the team scale with the company: joiner/mover/leaver automation across identity and device management, exception and expiry workflows, posture-driven policy, and Claude-assisted triage of review queues
Lead SaaS and identity governance, including third-party OAuth grants, delegated admin access, chat-platform apps, browser extensions, and software security reviews, turning recurring decisions into policy and tooling
Partner across the wider Security team, IT, and Engineering on telemetry, detections, and shared standards, and help define how a company that increasingly runs on AI agents does so securely and at scale
Minimum qualifications
Hands-on endpoint security engineering on macOS, Windows, Linux, or ChromeOS, such as MDM and declarative device management profile engineering, application allowlisting or binary authorization, system extensions and endpoint security frameworks, or their platform equivalents
Proficiency in Python and scripting languages generally; you architect and build integrations, automation, and internal tooling as a normal part of the job, and can write a detection when the work calls for it
Working depth in identity and access management, SaaS security, and zero-trust access
Threat-modeling judgment that finds the problems worth solving and the ability to scope them, define "done," and drive them to completion
Care for Anthropic's mission and the part corporate security plays in it
Preferred qualifications
Experience defining the scope and choosing the tooling for a security program rather than inheriting it
Experience shipping an enforcement change to a large user population: using data to find what will break before it does, staging the rollout, building the alternative path for affected workflows, and moving people onto it ahead of enforcement
Endpoint depth across more than one of macOS, Windows, Linux, and ChromeOS, with the judgment to harden for the threats that matter rather than to a checklist
Mobile security across managed and BYOD contexts, including protecting people and devices in higher-risk settings such as international travel
Experience bringing security governance to a modern SaaS environment, including third-party integrations, delegated access, and the long tail of internally built and AI-generated apps, in a way that speeds decisions up rather than slowing them down
Configuration-as-code, infrastructure-as-code, and CI/CD applied to corporate infrastructure
LLM-assisted security tooling you built that materially changed what a team could cover, and the judgment to know which work to hand to a model, which to keep, and how to combine the two
A track record of getting security controls adopted across an organization through influence and partnership rather than authority
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$320,000
—
$405,000 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: Spain; Albania; North Macedonia; Bosnia and Herzegovina; Serbia; Belgium
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
We are seeking a high-energy, bilingual Appointment Setter to join a fast-paced sales team. In this role, you will be the first point of contact for potential clients, acting as the engine that drives the sales pipeline forward. This is a high-volume outbound position designed for a hunter who thrives on making connections and excels at turning cold leads into qualified meetings. If you are a persuasive communicator who speaks fluent German and English, this is an incredible opportunity to grow your sales career within a global environment.
Key Responsibilities
Execute high-volume outbound call campaigns to identify and qualify potential leads.
Engage prospects in meaningful conversations to understand their needs and pain points.
Schedule qualified discovery calls and demos for the senior sales team.
Manage and update the CRM meticulously to ensure seamless lead hand-off.
Meet and exceed daily, weekly, and monthly targets for calls made and appointments booked.
Overcome objections with confidence and professionalism.
Requirements
Native or near-native fluency in German (written and verbal).
Full professional proficiency in English.
Proven experience in outbound cold calling, telemarketing, or lead generation.
Ability to handle high call volumes consistently without losing enthusiasm.
Exceptional communication and active listening skills.
Strong organizational skills and the ability to manage a busy pipeline.
A reliable remote work setup, including a high-speed internet connection and a professional headset.
Previous experience using CRM platforms (such as Salesforce or HubSpot).
Prior experience in a remote sales environment.
A background in SaaS or B2B professional services.
Benefits
💰 Competitive base salary
🌎 Fully remote work environment
🚀 Career growth opportunities within a scaling global agency
📈 Long-term stability in a high-demand industry
🤝 Supportive, collaborative team culture
УдалённоSpain; Albania; North Macedonia; Bosnia and Herzegovina; Serbia; Belgium
Location: Remote, Israel; Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Intermediate Software Engineer on GitLab’s Vulnerability Management team, you’ll help build the core security workflows that GitLab Ultimate customers use to triage, prioritize, and act on vulnerabilities. You’ll work primarily in Ruby on Rails on backend systems, including security dashboards, vulnerability reports, and ingestion pipelines. You’ll take ownership of well-defined projects, solve technical problems with support from experienced team members, and collaborate with other engineers. You’ll also have opportunities to contribute beyond the backend when the work requires it.
You will join a fullstack team, working together with product managers, designers, and
frontend engineers
to solve problems across the Vulnerability Management domain.
What you’ll do
Develop and maintain backend features for GitLab’s vulnerability management workflows.
Confidently ship features and improvements with minimal guidance and support from other team members; collaborate with the team on larger projects.
Help improve the performance, reliability, and scalability of security data ingestion and reporting systems.
Collaborate with frontend engineers and contribute across the stack when needed.
Work with engineers across security teams as vulnerability data and workflows come together in Vulnerability Management.
Collaborate with Product Management and Product Design to maintain a high bar for quality
Craft code that meets our
internal standards
for style, maintainability, and best practices for a high-scale web environment
Conduct code reviews within our
Code Review Guidelines
and ensure community contributions receive a swift response
Recognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions
Participate in
on-call rotations
to assist troubleshooting product operations, security operations, and urgent engineering issues.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience building and maintaining backend applications with Ruby on Rails.
Experience delivering and maintaining software systems as part of a larger engineering team.
The ability to investigate technical problems, ask for context when needed, and work toward a practical resolution.
Experience working with relational databases such as PostgreSQL.
Clear communication and collaboration skills in a distributed team.
An interest in learning from others, sharing knowledge, and growing your technical skills.
Frontend development experience, including JavaScript or Vue.js, is helpful.
Experience with Elasticsearch, graph databases, vulnerability management, application security, or related transferable skills is helpful.
About the team
The Vulnerability Management team develops the core security workflows that help GitLab customers triage and manage vulnerabilities. The team owns areas including the security dashboard, vulnerability reports, and ingestion pipelines, and serves as an important interface for security-related features across GitLab. The team is focused on moving beyond lists of findings toward workflows that help customers prioritize and coordinate remediation. You’ll collaborate asynchronously with a small, distributed group and with related security teams, including the Agentic Security Flows team.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Mechanical Design Engineer, you'll provide technical expertise for data center mechanical infrastructure, including cooling systems, HVAC, and critical equipment. You'll assess designs, capacity, reliability, and operational readiness to ensure data centers meet performance and scalability requirements. This is a build-phase role for someone who can independently evaluate complex systems while helping establish engineering standards and best practices for future deployments.
Travel: This position will require on-site presence at data centers.
Your responsibilities will include:
Lead mechanical engineering evaluations for data center opportunities.
Assess cooling infrastructure, HVAC systems, and critical mechanical equipment.
Evaluate air-cooled, liquid-cooled, and hybrid cooling solutions for AI and hyperscale environments.
Provide mechanical feasibility recommendations and Go/No-Go project input.
Conduct technical due diligence on existing and new data center facilities.
Review cooling capacity, chiller plants, CRAH/CRAC systems, and liquid cooling readiness.
Evaluate equipment availability, vendor capabilities, lead times, and deployment risks.
Support cooling topology, mechanical design strategy, and equipment selection decisions.
Validate mechanical design assumptions, capacity requirements, and construction readiness
Partner with engineering teams, vendors, and consultants to ensure scalable, reliable data center solutions.
We expect you to have:
Experience supporting hyperscale data center or AI infrastructure development.
Experience with BMS controls integration and mechanical systems commissioning.
Professional Engineer (PE) license or similar professional certification.
Experience evaluating colocation or build-to-suit mechanical infrastructure in a due diligence capacity.
You're comfortable operating in ambiguity and building technical evaluation processes where none exist. You know how to independently assess complex mechanical infrastructure while helping define how future projects should be evaluated.
8+ years of experience in data center mechanical engineering, MEP design, or mission-critical mechanical systems.
Experience with cooling topology design, liquid cooling systems, chiller plants, and CRAH/CRAC systems for high-density AI/hyperscale environments.
Strong understanding of mechanical capacity planning, equipment selection, and capex trade-offs in data center design.
Experience evaluating mechanical feasibility of sites or facilities prior to commercial commitment.
Excellent communication and executive presentation skills.
Bachelor's degree in Mechanical Engineering or a related discipline, or equivalent experience.
It will be
an added bonus
if you have:
Experience supporting hyperscale data center or AI infrastructure development.
Experience with BMS controls integration and mechanical systems commissioning.
Professional Engineer (PE) license or similar professional certification.
Experience evaluating colocation or build-to-suit mechanical infrastructure in a due diligence capacity.
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus.
Join Nebius Today!
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$115,000
—
$225,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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
Anthropic is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale.
You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes.
Key responsibilities
Design and build a scalable onboarding and ongoing development program for sales leadership
Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption
Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting
Define and measure leading indicators of manager and team effectiveness
Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases
Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development
Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement
Minimum qualifications
Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it
Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment
Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives
Preferred qualifications
8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations
A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences
Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness
Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement
A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on
Prior frontline sales management experience
Experience at an AI company or high-growth technology organization that has scaled a sales leadership team
Experience using or building applications on top of Claude or similar AI tools to automate and personalize training
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:
$310,000
—
$360,000 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 Roles - EMEA
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk.
In this role, you will own OKX's Global Customer Complaints Program and report directly to the Compliance Chief of Staff. You will work closely with Local Compliance, Legal, Customer Support, Product, Operations, and Risk teams to promote consistent complaint handling across jurisdictions, maintain alignment with regulatory requirements, and provide effective second-line oversight and challenge.
A key part of the role will be turning customer complaints into actionable compliance and conduct-risk intelligence. You will oversee complaints governance and quality assurance, identify trends and potential systemic issues, support root-cause analysis and remediation, and provide senior leadership with clear reporting on customer outcomes and emerging risks.
You will also support the development, coordination, and tracking of responses to regulators, working directly with Legal and Local Compliance teams on regulatory inquiries, escalated complaints, and related supervisory matters. This requires strong regulatory judgment, excellent written communication, and the ability to coordinate complex matters across multiple teams and jurisdictions.
What You’ll Be Doing
Develop, coordinate, and track responses to regulatory inquiries, examinations, and escalated complaints, partnering with Legal and Local Compliance teams to gather and validate facts, prepare clear and defensible responses, manage review and approval processes, meet regulatory deadlines, and track resulting commitments, remediation, and follow-up through closure.
Maintain global regulatory alignment by partnering with local Heads of Compliance to identify changes in jurisdictional requirements and ensure global policies, standards, procedures, and local requirements remain current and appropriately implemented.
Oversee the end-to-end complaints control framework, including complaint identification and classification, regulatory and internal service-level requirements, escalation thresholds, documentation standards, investigation and resolution expectations, and closed-loop validation.
Own the second-line oversight and quality assurance, including risk-based testing of complaint handling, identification of control gaps and customer-outcome issues, tracking of remediation, and escalation of issues.
Turn complaint data into actionable compliance and conduct-risk intelligence by monitoring trends, recurring issues, root causes, regulatory complaints, overdue cases, customer outcomes, and potential systemic issues requiring broader investigation or remediation.
Own complaints governance and executive reporting, including reporting to compliance committees and serving as the standing owner of the complaints agenda for compliance leadership meetings.
Maintain the complaint management database, service level agreement adherence, and escalation thresholds across all regions.
Serve as the central Compliance point of contact for material complaint matters, including complaints or inquiries escalated to regulators, ensuring consistent governance, appropriate escalation, and defensible documentation.
Drive continuous improvement of the framework, using QA results, regulatory developments, complaint trends, and lessons learned to strengthen controls and improve customer outcomes globally.
What We Look For In You
Strong experience developing and managing responses to regulators is required, including regulatory inquiries, information requests, examinations, escalated customer complaints, and other supervisory matters. Demonstrated ability to coordinate cross-functional inputs, develop clear and defensible written responses, manage regulatory deadlines, and track resulting commitments and remediation through closure.
Significant experience in regulatory compliance, conduct risk, consumer protection, complaints oversight, or a related discipline, ideally within a highly regulated and globally distributed organization.
Demonstrated experience owning or overseeing a multi-jurisdictional compliance framework, including translating regulatory requirements into scalable global standards, controls, monitoring, and governance while appropriately incorporating local requirements.
Strong regulatory and customer-outcome judgment, with the ability to distinguish individual service issues from matters presenting potential regulatory, conduct, consumer-harm, reputational, or systemic risk.
Demonstrated experience with root-cause analysis and systemic remediation, including assessing whether broader customer populations may be affected and driving appropriate corrective action.
Strong second-line oversight and challenge capabilities, with experience designing or operating risk-based monitoring, QA, issue escalation, remediation tracking, and governance processes.
Strong analytical and reporting capabilities, trend analysis, SLA monitoring, management information, and executive reporting.
Excellent written and verbal communication skills, with the ability to communicate clearly with regulators, Legal, Compliance, senior executives, and cross-functional stakeholders.
Proven ability to influence geographically dispersed teams and senior stakeholders.
Nice to Haves
Experience designing or overseeing a global customer complaints program across multiple regulatory regimes, particularly the United States, United Kingdom, European Union, APAC, LATAM, and/or Middle East.
Familiarity with complaints-handling and customer protection expectations across major global regulatory regimes, including those established by the FCA, CFPB, MAS, European Supervisory Authorities (EBA, ESMA and EIOPA), and other relevant national competent authorities and dispute-resolution bodies.
Relevant professional certification or advanced qualification such as CAMS, CFE, CRCM, CCEP/CCEP-I, ICA compliance qualifications, CIA, CRCMP, JD or equivalent legal qualification, or a comparable compliance, risk, or audit credential.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore
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
We are seeking a Public Sector Account Executive to drive the adoption of safe, frontier AI across governments in Southeast Asia, establishing and growing Anthropic's presence in this strategic region. Based in Singapore, you'll leverage your consultative sales expertise and deep understanding of public sector landscapes across ASEAN markets to grow revenue while becoming a trusted partner to government customers, helping them embed and deploy AI and uncover its full range of capabilities. Working with ministries, statutory boards, and agencies across the region, you'll navigate diverse procurement, security, and compliance environments to build long-term strategic partnerships. In collaboration with GTM, product, policy, and marketing teams, you'll help define our market entry strategy and value proposition for public sector customers across ASEAN.
Key responsibilities
Lead Anthropic's market entry and expansion across ASEAN public sector markets, building relationships with key stakeholders across ministries, statutory boards, and government agencies in Singapore and throughout the region
Own the full sales cycle for public sector opportunities across ASEAN, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships
Navigate the procurement requirements, security standards, and compliance frameworks specific to government technology adoption in each market—including GeBIZ procurement and IM8 security requirements in Singapore—and prioritise markets based on opportunity and readiness
Collaborate with policy teams to ensure alignment with national AI strategies and digital government initiatives across the region, such as Singapore's National AI Strategy and Smart Nation programme and the ASEAN Guide on AI Governance and Ethics
Design and execute sales strategies tailored to each public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers
Provide market intelligence and feedback to product teams to ensure our offerings meet regional public sector requirements, including data sovereignty, data residency, and localisation considerations that vary by country
Build and maintain relationships with systems integrators, in-country partners, and technology partners across ASEAN markets
Develop and document best practices for public sector engagement in each market, creating playbooks that scale our presence across the region
Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities
Minimum qualifications
12+ years of enterprise sales experience in public sector markets across ASEAN, with a proven track record of driving adoption of emerging technologies
Deep understanding of government procurement processes, security requirements, and technology adoption frameworks in Singapore (including GeBIZ and IM8), and familiarity with equivalent frameworks in other ASEAN markets
Strong track record of managing complex sales cycles and securing strategic deals in the public sector
Experience navigating multiple stakeholders across ministries and agencies in culturally diverse markets, building consensus and providing innovative solutions
Experience working with in-country partners and channel ecosystems to reach markets where direct presence is limited
Excellent communication skills and the ability to present confidently to all levels, from technical teams to senior government officials
Eligibility to handle classified government information as required
Ability to work independently while maintaining strong collaboration with global teams, with willingness to travel regularly across the region
Bachelor's degree in a related field or equivalent experience
Preferred qualifications
Experience working with agencies such as GovTech, and familiarity with national digital transformation initiatives across the region
Demonstrated ability to build and grow new market segments across multiple countries, with potential to develop into a leadership role
Strategic thinking combined with hands-on execution capabilities
Proficiency in a regional language beyond English
A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context
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: Singapore
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
We are seeking an Enterprise Account Executive to join the foundational team introducing Anthropic's frontier AI to large enterprises across Southeast Asia. Based in Singapore, you will drive adoption of safe, frontier AI by securing strategic deals with major corporations across industries including financial services, healthcare, technology, manufacturing, and telecommunications throughout the ASEAN region. You'll leverage your consultative enterprise sales expertise to grow revenue while becoming a trusted partner to C-suite and senior technical stakeholders, helping them embed Claude across business operations, research, and administration. As Anthropic's senior in-market commercial presence for ASEAN, you'll shape our regional go-to-market strategy and lay the groundwork for a dedicated Southeast Asia footprint.
Key responsibilities
Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across ASEAN countries.
Serve as senior regional coverage for Anthropic's most strategic ASEAN enterprise accounts, building executive relationship depth and commercial momentum through consistent in-market engagement
Build and execute territory plans that identify high-value opportunities across key ASEAN industries, accounting for differences in market maturity, regulatory environment, and buying behaviour between countries
Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver
Orchestrate internal teams—Product, Engineering, Applied AI, Partnerships—to deliver tailored solutions for complex enterprise requirements
Translate technical AI capabilities into compelling business value propositions suited to the needs of Southeast Asian enterprises
Identify new use cases and contribute to ASEAN go-to-market strategy, providing feedback that shapes product roadmap and regional approach
Represent Anthropic across Southeast Asia, building executive relationships with enterprise, partner, and government stakeholders and raising Anthropic's profile within the regional technology community
Minimum qualifications
12+ years in enterprise sales, GTM, business development, or account management with direct, in-market Southeast Asia operating experience
A track record of managing complex, multi-stakeholder sales cycles and securing strategic deals in ASEAN markets by translating multifaceted technical requirements into tailored solutions
Existing commercial network across enterprise and partner communities in Singapore and at least one or two additional ASEAN markets
Strong commercial instincts, with the ability to identify, prioritise, and advance high-value opportunities without heavy oversight
Comfort operating as a generalist regional presence—equally effective in an enterprise sales conversation, a partnership discussion, or a government stakeholder introduction
Excellent communication and presentation skills, with cultural fluency across ASEAN business environments
Based in, or willing to relocate to, Singapore, with eligibility to work in Singapore and the ability to travel frequently across Southeast Asia
Bachelor's degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services or healthcare
Experience working with hyperscaler or channel partners to co-sell into regional enterprise accounts
Prior experience establishing or scaling a new market or region for a high-growth technology company
Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Thai, Vietnamese)
Familiarity with regional data residency, AI governance, and procurement frameworks relevant to enterprise buyers
A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely
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: Brazil; Poland; Argentina; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption.
You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome.
ROLE MISSION
Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions.
You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators.
YOUR RESPONSIBILITIES
- Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints.
- Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates.
- Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints.
- Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data.
- Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling.
- Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders.
- Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment.
- Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness.
- Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles.
- Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators.
OUR REQUIREMENTS
- A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain.
- Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows.
- Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions.
- Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs.
- Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives.
- Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness.
- 8+ years of experience in IT, including strong experience in software design and engineering.
- 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock.
- Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements.
- Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns.
- Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models.
- Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings.
- Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases.
- Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices.
- Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps.
- Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively.
OPTIONAL
- Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead.
- Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores.
- Familiarity with frameworks for agentic or multi-component AI pipelines.
- Exposure to Responsible AI, data privacy and governance frameworks.
- Hands-on experience with Databricks or Snowflake.
- Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators.
- Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
We are seeking a Senior Accountant to join the team responsible for the accounting for Hasbro's global network of licensees across categories such as merchandising, publishing, digital gaming, casino, and location-based entertainment. Reporting to the Senior Manager, Royalties, you will own core royalty accounting, close, and control activities — and, just as importantly, help build a stronger, more efficient way of running them.
This is a role for a strong accountant who is not content to run the process as-is. We are actively modernizing how royalty accounting works — strengthening controls, simplifying processes, and raising the bar on accuracy and efficiency — and you will be a driving force in that effort. Success in this role means seeing a manual, repetitive, or fragile process and making it better, pairing that instinct with disciplined, reliable execution. You will work across Finance, Legal, and business partners and help shape how royalty accounting runs for Hasbro's global network of licensees.
Location and Work Arrangement
This role is based at our Boston, Massachusetts, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Own royalty accounting, close, and reconciliations — prepare and review journal entries, account reconciliations, and month-end and quarter-end close activities, ensuring royalty revenue and associated balances are recorded completely, accurately, and on time.
Strengthen controls and process — build, improve, and stand behind the controls and checks that keep royalty accounting accurate and well-documented, closing gaps and making the process more reliable quarter over quarter.
Drive continuous improvement and lean process change — actively identify manual, repetitive, or fragile steps and redesign, automate, or streamline them; measure the impact and make the improvement stick.
Account for licensee guarantees and overages — ensure minimum guarantees, overages, and related true-ups are tracked, calculated, and recorded accurately, and that issues are surfaced and resolved.
Partner across the business — work closely with the offshore royalty operations team, Finance, Legal, and business partners to keep royalty accounting aligned to operational reality and to move issues to resolution.
Support audits — prepare documentation and respond to internal and external auditor requests, and help ensure the control environment holds up to scrutiny.
Read and apply contract terms — review licensing agreements and amendments to ensure royalty accounting reflects the terms of the deal, partnering with Technical Accounting on complex judgments.
Complete ad hoc projects — support special analyses and process or system initiatives as the function evolves.
What You'll Bring
Bachelor's degree in Accounting; Certified Public Accountant (CPA) designation preferred.
Minimum 3 years of public accounting and/or public company experience; Big Four experience preferred.
A genuine bias toward continuous improvement — demonstrated success identifying a manual or inefficient process and redesigning, automating, or streamlining it, with measurable results.
Strong working knowledge of US GAAP and internal controls / Sarbanes-Oxley concepts.
Comfort and curiosity with systems and technology, and eagerness to use tools to work more efficiently and reduce manual effort.
Experience reviewing and interpreting contracts; knowledge of the licensing industry or royalty accounting is a plus.
Proficiency with Microsoft Excel; experience with SAP and BlackLine preferred.
Ability to succeed in a fast-paced, high-pressure environment and meet deadlines.
Excellent communication skills and the ability to learn and adapt in a dynamic environment.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
Privacy Notice
Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$85,600
—
$128,400 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Field Applications Engineering Manager to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves managing a team of Field Applications Engineers, planning and resourcing deployments, conducting on-site visits to customer facilities, leading demos, managing deployment projects as well as acting as the accountable person for deployment acceptance testing, site integration and robot operations. This position requires leadership, technical expertise, flexibility, problem-solving skills, and a customer-centric approach.
WHAT YOU'LL DO
- Manage the North America deployment team, including 1:1s, performance, mentoring and coaching.
- Allocate and schedule the team, resources and support required to meet deployment milestones.
- Lead the deployment and implementation of humanoid robot solutions at customer locations.
- Oversee the planning, preparation and execution of on-site Proof of Concept (PoC) and pilot projects, both short and long-term.
- Integrate engineering development activities into deployment projects, working with technical leaders across the company to manage delivery risks.
- Supervise visits to customer facilities to gather data and assess requirements.
- Supervise the construction and use of test environments in our lab for deployment reliability and performance testing. Define lab test and site acceptance testing strategies.
- Lead product demonstrations in the lab for customers, investors, and internal stakeholders.
- Represent the company at expos and industry events, delivering live product demos.
- Manage the testing of product releases and their delivery to customer sites.
- Oversee resolution of on-site issues during deployment and operations.
- Prioritise product data and customer feedback for engineering and product teams; implement improvements to deployment efficiency and site deployment processes.
- Oversee maintenance and troubleshooting activities, with remote engineering support.
- Report deployment status and risks to senior stakeholders across the company.
- Work with Business Development, Engineering and Product Management on customer use case analysis, solution development, and deployment strategies.
WHAT WE'RE LOOKING FOR
- Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.
- Experience leading robotics or automation deployment projects at customer sites, including concept/pilot projects.
- Experience managing a team of engineers in demanding environments.
- Technical knowledge of robotics site installation and hardware/software configuration.
- Track record of overseeing the resolution of technical issues on site under pressure.
- Experience presenting and delivering live product demonstrations.
- Experience working across engineering, product, and commercial teams to deliver customer projects.
- Exceptional written and verbal communication skills.
- Experience managing customer stakeholders on-site.
PREFERRED QUALIFICATIONS
- Prior experience in humanoid, AMR or manipulation-based robotics deployment.
- Experience with software integration and sensor-based automation.
- Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.
- Experience with CAD modelling, 3D scanning, or digital twin technology.
- Experience with site commissioning and acceptance.
- Experience with automation business case development and presales activity.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $150K–$180K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
УдалённоOpen to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively; Remote (APAC)
УдалённоRemote, Bay Area, CA, US
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