Location: Shanghai, China
Workplace: fully
About Global University Systems (GUS)
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Position
The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia.
Requirements
Essential Criteria
• You will have experience in international student recruitment for higher education.
• You have an established and relevant agency network and solid relationships with key stakeholders within these agencies.
• A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting.
• You will have developed and trained education agents on how to promote the brand you represent.
• You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities.
• You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities.
• You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships.
• You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry.
• You will be a highly motivated individual who strives for success in all areas.
• You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera.
Desirable Criteria
• Salesforce or database management experience.
• We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents.
Location
The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based).
Other Information
Please note this position is only available on our consultancy agreement.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.
Location: Shanghai, China
Workplace: fully
About Global University Systems (GUS)
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Position
The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia.
Requirements
Essential Criteria
• You will have experience in international student recruitment for higher education.
• You have an established and relevant agency network and solid relationships with key stakeholders within these agencies.
• A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting.
• You will have developed and trained education agents on how to promote the brand you represent.
• You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities.
• You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities.
• You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships.
• You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry.
• You will be a highly motivated individual who strives for success in all areas.
• You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera.
Desirable Criteria
• Salesforce or database management experience.
• We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents.
Location
The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based).
Other Information
Please note this position is only available on our consultancy agreement.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.
Location: UK, London
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 looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor.
This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical.
WHAT YOU’LL DO
- Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform
- Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation
- Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics
- Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why
- Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting
- Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production
WHAT WE’RE LOOKING FOR
- Strong backend engineering skills in Python, Go, or similar
- Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance)
- Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code
- Comfort working across the stack from frontend to backend
- Experience with observability and alerting in systems where failures have real operational consequences
- Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow
NICE TO HAVE
- Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context
- Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions
- Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language
- Experience integrating with third-party enterprise systems (WMS, ERP, or similar)
- Background in robotics or real-time systems where execution state and side-effects need to be managed carefully
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Задачи:
— создание цифровых помощников для управления рисками инвестиционных портфелей в мультиагентной системе, анализирующей отчетность эмитентов, новостную повестку, судебные производства, котировки, кредитные рейтинги.
Требования:
— глубокое понимание архитектуры и принципов работы больших языковых моделей (LLM);
— опыт разработки и интеграции AI-агентов и multi-agent систем;
— понимание методов и алгоритмов машинного обучения и обработки естественного языка (NLP);
— опыт с RAG (retrieval-augmented generation) и Knowledge Graph;
— навыки prompt engineering;
— опыт с инструментами и фреймворками: LangChain, GigaChain, LangGraph, LangFlow, n8n, Flowise, OpenRouter, NeuroAPI, GigaChat, ChatGPT, DeepSeek, Qwen, Mistral;
— программирование на Python (приоритет); Java/Go/JavaScript — будет плюсом;
— разработка и интеграция backend-сервисов и WebUI для AI-решений;
— протоколы обмена данными: REST, WebSocket, JSON-RPC, gRPC;
— системы логирования, мониторинга и диагностики для AI-приложений;
— базовые DevOps и CI/CD практики;
— опыт реализации и сопровождения AI-агентов в production-средах;
— разработка приложений на базе LLM с использованием популярных open-source и коммерческих моделей;
— интеграция внешних данных (базы знаний, API) для расширения возможностей AI-агентов;
— построение кастомных пайплайнов обработки запросов и ответов;
— участие в проектах по оптимизации производительности и масштабируемости LLM-систем;
— командная разработка и взаимодействие с продуктовой и DevOps-командами.
Условия:
— удаленная работа;
— полная занятость;
— грейд middle+/senior;
— зарплата от 260 000 до 350 000 ₽ в месяц.
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 RL Teams
Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely.
This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact.
You may be a good fit if you:
Have strong software-engineering skills and deep Python expertise, including async/concurrent programming
Are comfortable owning systems end to end and debugging across the stack
Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results
Care about code quality, testing, and performance
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may also have:
Experience with reinforcement learning, RLHF, post-training, or LLM finetuning
Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling
Background in program analysis, testing, verification, compilers, or formal methods
Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems
CUDA / GPU or TPU kernel experience and accelerator-performance intuition
Experience with virtualization and sandboxed code execution environments
Related roles
If your background leans toward one of these areas specifically, you may also want to look at these postings:
Research Engineer, Performance RL (Reinforcement Learning)
— teaching Claude to write correct, fast code for accelerators
Research Engineer, Universes
— long-horizon, ultra-realistic agentic training environments
Research Engineer, Cybersecurity RL (Reinforcement Learning)
— RL for security-relevant coding capabilities
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:
$500,000
—
$850,000 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.
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, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review.
You're the person who turns workforce signals into recruiting strategy — bringing a point of view.
This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted.
- Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them.
- Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on.
- Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck.
- Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it.
- Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable.
SKILLS YOU'LL NEED TO BRING:
- Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports.
- Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust.
- Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions.
- Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions.
- AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles.
- Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
The Blockchain Security Lead owns the security posture of on-chain systems and protocols across the organization. This role blends strategic leadership with deep hands-on expertise, overseeing a small team of blockchain security engineers while actively contributing to design reviews, threat modeling, and code audits.
You’ll partner closely with on-chain product and engineering teams to embed security into architecture, development, and operations—building scalable, reusable security controls that grow with the business.
What You’ll Do:
Lead, mentor, and grow a team of blockchain security engineers.
Define and evolve the blockchain security strategy and roadmap.
Serve as a trusted security partner to product, protocol, and infrastructure teams.
Lead threat modeling and architecture reviews for on-chain systems.
Perform and guide security reviews and audits of smart contracts (Solidity, Rust/Solana) and backend services and supporting infrastructure.
Design and implement reusable security controls, patterns, and reference architectures.
Support secure deployment of cloud-native infrastructure (containers, Kubernetes).
Research emerging blockchain threats, exploits, and mitigations, and translate them into actionable controls.
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
10+ years of security software engineering experience
5+ years working with blockchain technologies
5+ years working with smart contract security across multiple chains
Experience leading or mentoring a small, highly technical team
Published material on vulnerabilities/security bugs within the Web3 community
Expertise in secure SDLC, threat modeling, and application architecture review
Multi agent code reviews for vulnerabilities using frontier models
Secure coding practices and in-depth code review capability
Strong familiarity with smart contracts (Solidity, Rust), cloud-native environments (Docker, Kubernetes), authentication and authorization, TLS/PKI, and cloud, infrastructure, and network security
Clear, confident communicator across technical and non-technical audiences
Comfortable balancing hands-on execution with strategic ownership; detail-oriented, pragmatic, and strong in problem solving under ambiguity
Bonus Points:
Direct exposure to Solana, staking systems, or similar Layer 1 protocols
Prior experience at a blockchain security audit firm (e.g., Trail of Bits, Halborn, Ottersec, Zellic)
Background in financial services or institutional crypto security
Familiarity with DeFi protocol security, key management, and custody architectures
Experience contributing to or leading security programs at a crypto exchange, protocol foundation, or digital asset firm
What We Offer:
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
Apply now and join us as we grow the economy that runs on code.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Tokyo, Japan
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.
This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
This role is based in Tokyo, Japan. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
- Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
- Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
- Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
- Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem.
- Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments.
- Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers.
- Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling.
- Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices.
SKILLS YOU'LL NEED TO BRING
- 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role.
- Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
- Hands-on experience with APIs and data integration.
- Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan.
- Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration.
- Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
- A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale.
NICE TO HAVES
- Experience working in professional services, preferably in a startup or high-growth environment.
- Experience deploying AI agents autonomously in complex coding or business workflows.
- Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration.
- Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
- Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling.
- Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
- Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
- Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Gurgaon, India
Workplace: hybrid
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
Roles and Responsibilities
JOB OVERVIEW
As a Linguist, you will be responsible for delivering high-quality localization services, including translation, post-editing, proofreading, and linguistic review activities across various projects. Your focus will be on producing natural, accurate, and culturally appropriate content in Hindi while ensuring alignment with the source text's intent, tone, and communication objectives.
You will work on a diverse range of content types, such as marketing, user interface strings, legal documentation, training materials, presentations, and multimedia assets. The role requires strong linguistic judgment to adapt content effectively for the target audience while maintaining consistency, quality, and adherence to client-specific guidelines. Depending on project needs, you may also be involved in content creation, transcreation, and terminology management.
Success in this role requires excellent command of both English and Hindi, strong attention to detail, and the ability to balance linguistic accuracy with audience engagement. Familiarity with CAT tools, localization workflows, and quality assurance processes is essential. The ideal candidate demonstrates ownership, effective communication skills, adaptability, and a commitment to delivering high-quality results in a fast-paced environment.
The following is a non-exhaustive list of responsibilities and areas of ownership for this role:
MAIN DUTIES
Perform translation, post-editing, copy-editing, and proofreading tasks between English and Hindi using designated translation and localization tools.
Handle a wide range of content types, including marketing materials, UI strings, creative content, legal content, and other localized assets, adapting the level of creativity as required.
Review and understand project requirements, target audience expectations, and machine translation (MT) quality before starting assignments.
Effectively utilize CAT tools and other supporting platforms required for localization work, such as query management systems and UI review tools.
Adhere to established workflows and processes, including raising queries, reporting issues, and proactively communicating risks or blockers to relevant stakeholders.
Ensure compliance with client-specific style guides, terminology databases, linguistic standards, and quality requirements.
Continuously improve performance by incorporating feedback received through internal and external quality evaluations.
Monitor personal quality metrics and error trends, and actively work on identified improvement areas.
Participate in internal training sessions, knowledge-sharing initiatives, and client-led training programs.
Contribute to error review and arbitration discussions to support quality improvement and consistency.
Meet defined productivity, quality, and turnaround-time targets.
Attend internal quality meetings and client quality review calls, contributing constructively to discussions and action plans.
Demonstrate a growth mindset by regularly assessing skill gaps and seeking guidance from language leads and management to enhance performance and professional development.
REQUIREMENTS
Bachelor’s degree in Translation, Applied Languages, Linguistics, Literature, Journalism, Communications, or a related field preferred.
Native or near-native proficiency in Hindi and strong command of English.
Experience or demonstrated interest in creative localization, translation, transcreation, copywriting, content writing, or Hindi content creation. Exposure to blogging, video scripts, voice-over scripts, web content, marketing communications, magazines, newspapers, or digital media content is an advantage. Fresh graduates with exceptional language skills and a passion for creative writing are encouraged to apply.
Strong comprehension skills in English with the ability to accurately translate, transcreate, post-edit, copy-edit, and proofread content according to client requirements and target audience needs.
Excellent written Hindi with a keen eye for grammar, style, consistency, and linguistic accuracy.
Ability to identify, analyze, and resolve linguistic, terminology, and localization-related issues.
Familiarity with CAT tools and localization workflows; experience with industry-standard localization platforms is a plus.
Strong verbal and written communication skills.
Detail-oriented mindset with a commitment to delivering high-quality, error-free work.
Positive attitude, willingness to learn, and openness to constructive feedback.
Ability to collaborate effectively in a team-oriented environment while managing individual responsibilities.
Education Level
• University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience
Experience
• Native fluency in TARGET language
• Fluency in English, both written and spoken, in a variety of registers
• Experience in translation/localization/editing or content writing
• Thorough understanding of the localization process
• Good user experience of standard software, such as Windows and Office applications
• Good user experience of standard CAT tools, e.g. XTM, SDL Studio and issue tracking and query management tools, e.g.JIRA
Other Skills
• Ability to learn new localization tools and applications quickly
• Excellent interpersonal, written and verbal communication skills
• Ability to work with tight deadlines
• Ability to give clear, concise and constructive feedback
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization
exists.
•Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
• Ability and willingness to train/teach others and pass on knowledge
• Ability, willingness and experience in communicating positively with customers at various levels
• Ability to work in hybrid team
Location: Cairo, Egypt; Alexandria, Egypt
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Lisbon, Portugal; Porto, Portugal
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
We are hiring a Strategic Finance Manager, Product (EPD) to partner with Engineering and Product to drive unit economics, infrastructure efficiency, and margin expansion across Vercel’s consumption-based platform.
This role spans cloud infrastructure & token spend, as well as emerging AI workloads (inference, gateways, and compute-intensive services). You will define how we measure and optimize the cost and profitability of every request, workload, and AI interaction on the platform.
What you'll do:
Infrastructure & AI COGS Ownership
Own financial visibility into compute, bandwidth, storage, and AI-related costs (e.g., inference, GPU/accelerated workloads)
Translate product and infrastructure usage (requests, execution time, tokens, etc.) into clear cost drivers
Partner with EPD to drive cost-efficient architecture and scaling decisions
Cost Visibility & Accountability
Build self-service cost tooling for Product and Engineering (cost per request, per workload, per AI query)
Enable teams to own and optimize their infrastructure footprint
Standardize cost attribution across products and multi-tenant systems
Efficiency & Margin Expansion
Lead infrastructure and AI efficiency initiatives (compute optimization, caching, vendor strategy)
Define north star metrics (e.g., cost per request, cost per AI call, cost per GB)
Embed cost efficiency into roadmaps and product decisions
Cost Allocation & Financial Rigor
Develop scalable cost allocation frameworks across products, customers, and workloads
Improve gross margin visibility, including AI product margins
Support auditability and IPO readiness
Cross-Cutting Workstreams
Unit Economics
Define product-level unit economics across Vercel’s product suite
Connect usage (requests, compute, tokens, etc.) to revenue and COGS
COGS / Gross Margin Forecasting
Build driver-based models linking usage, revenue, and infrastructure costs
Forecast COGS across core platform and AI products for both PLG & SLG segments
Model margin impact of scale and efficiency improvements
Pricing & Packaging
Partner on usage-based and AI pricing models
Evaluate tradeoffs between growth, adoption, and margin
Ensure pricing is reflected in forecasts and unit economics
What you need:
5-8+ years in Strategic Finance, FP&A, IB, or Consulting
Experience with consumption-based or cloud infrastructure businesses
Strong modeling skills; experience with driver-based forecasting
Ability to partner with technical teams and translate usage → financial insight
SQL / data tooling experience strongly preferred
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $180,000-$220,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link.
We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles.
Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required.
IN THIS ROLE YOU WILL
Master the Sentry Ecosystem & Support Elite Developers
- Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments.
- Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability.
- Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments.
- Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes.
Engineer Agentic Operations (The Scaling Engine)
- Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions.
- Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely.
- Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously.
- The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine."
YOU’LL LOVE THIS JOB IF
- You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort.
- You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
- You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next.
- You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem.
QUALIFICATIONS
- 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems.
- Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories.
- Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database.
- AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention.
- Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI.
BONUS QUALIFICATIONS
- Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries.
- Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms.
This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most.
You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy.
Key responsibilities
Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces
Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces
Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows
Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems
Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust
Create clarity for the team and stakeholders in an ambiguous and evolving environment
Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team
Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community
Minimum qualifications
Experience managing software engineering teams, including hiring, coaching, and developing engineers
A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions
Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams
Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders
Care about the societal impacts of AI and want your work to make powerful systems safer
Preferred qualifications
4+ years of management experience, 10+ years of industry software engineering experience
Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale
Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments
Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation
Experience building developer platforms or extensible tooling frameworks that other teams build on top of
Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: New York, NY
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
The Member of Technical Staff, Forward Deployed Lead is the de facto CEO of their pod within Galaxy Edge — a small, senior team focused on one client engagement or one innovation bet. In this role, you will own product direction, technical standards, client relationships, and account growth, working alongside a dedicated Delivery Lead who handles timelines and execution. You will rotate between our two verticals — Forward Deployed Product & Engineering and R&D & Innovation — carrying hard-won market and technical context across the boundary. You will partner closely with Tier-1 financial institution stakeholders from engineers to C-suite executives, translating their needs in custody, settlement, tokenization, and trading into buildable roadmaps. This is a deliberately hybrid role requiring a hands-on startup CTO mindset combined with the commercial instinct to grow accounts and turn delivered trust into the next engagement.
What You’ll Do:
Own product and technical direction: translate institutional needs — custody, settlement, tokenization, trading, and regulatory context — into a buildable roadmap; set the technical bar, make hard design calls, and stay in the code when it matters
Drive commercial and account growth: run your account like a business, identify expansion opportunities, advise senior client stakeholders (CTO, COO, Head of Digital Assets), and convert delivered trust into the next engagement
Lead client and executive relationships: run discovery from engineers to the C-suite, define success in their terms (adoption, risk, cost, time-to-value), and navigate complex regulated organizations to alignment
Rotate into R&D and Innovation: lead 0-to-1 product creation on frontier blockchain and AI, and codify learnings into reusable components and playbooks that feed back into client delivery
Serve as the voice of the customer back into Galaxy’s product organization, translating delivered insights into what the firm builds next
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
Proven track record of owning outcomes end to end in ambiguous, high-stakes settings
Real technical depth — you’ve shipped production software and can lead engineers credibly
Commercial instinct — you’ve turned delivered work into expanded scope or revenue
Executive presence — fluent from a whiteboard to a C-suite briefing
Founder-grade agency and low ego — you find a path when none is obvious and care about the outcome, not the credit
Typically 6+ years across forward-deployed/solutions engineering, technical PM, and client-facing delivery; shape of ownership matters more than years
Willingness to travel approximately 25–40% of the time
Bonus Points:
Experience in digital assets or blockchain infrastructure
Prior delivery experience into Tier-1 financial institutions
Hands-on production LLM or AI agent experience
Technical founder or quota-carrying solutions architect background
Fluency in custody, settlement, payments rails, tokenization, or trading systems
What We Offer:
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
Apply now and join us as we grow the economy that runs on code.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Base Salary Range
$215,000
—
$285,000 USD
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building great AI infrastructure. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences.
Getting a model into production still takes real expertise: choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, Truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with great DevEx and make it effortless for far more developers to self-serve deploy models on Baseten than can today.
This role fits someone who gets technical by instinct and does whatever it takes to ship for customers, not only strategy, UX, or docs. You'll define the design system and the patterns from scratch rather than work inside ones someone else built, and you're obsessed with improving your product craft with AI.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Product and Engineering teams:
- Building multi-component AI workflows at scale with Chains https://www.baseten.co/blog/baseten-chains-explained/
- Announcing Baseten for Model Labs https://www.baseten.co/blog/announcing-baseten-for-model-labs/
- Introducing canary deployments on Baseten https://www.baseten.co/blog/canary-deployments-on-baseten/
RESPONSIBILITIES
- Collapse time to production, taking a developer from first sign-up to a running, maintained production deployment and driving down the time it takes to get there.
- Make the CLI and SDKs the primary way developers and their AI agents build on Baseten, converging the authoring surfaces (CLI, console, Truss, config.yml, model.py, chains.py) into one coherent path.
- Make a developer's first run effortless across onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface clearly and builds show progress.
- Own the deployment lifecycle that lets teams ship safely, including environment promotion from dev to staging to prod, version history, an artifact and model registry, reproducible deployments, and the progressive delivery controls developers set and read: canary, shadow, A/B, scheduled promotion, and one-gesture rollback.
- Define how developers compose multi-model apps through Chains and the DevEx for developers building multi-modal agents and applications.
- Grow self-serve deployment across FDEs and customers by living in customer conversations and turning deploy-and-operate friction into roadmap, so work that needs an FDE today becomes something a developer does alone.
REQUIREMENTS
- 5+ years building developer-facing or technical products, as a product manager or as a product-minded engineer.
- Built dev tools as an engineer before becoming a PM, shipping SDKs, CLIs, APIs, or platform surfaces with your own hands.
- Proof of dev tooling and dev products you've shipped and take pride in.
- Genuine taste for developer experience across both local (CLI) and UI, with a specific example of where you made something complex feel simple.
- Strong opinions on CLI, API-first, and agent-first design, treating the coding agent as a first-class user rather than a feature.
- Technical enough to earn engineers' trust and reason about what's under the hood, because you've been under it.
- A rigorous researcher who lets customer reality drive the call, and a relentless shipper
NICE TO HAVE
- Experience with ML infrastructure, developer tools, or API products.
- You've deployed and served models yourself.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Shanghai, China
ОфисUK, London
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Canada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
San Francisco, CA | New York City, NY
ГибридleadSan Francisco, California; New York, New York
