Location: London, England, United Kingdom
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description
Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it.
The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders.
At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs.
Responsibilities
You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Requirements
Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
Experience writing production code for multi-client systems serving model results is a great plus
Ability to clearly communicate research findings to technical and nontechnical stakeholders
Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
Experience with scientific computing, statistics, optimization, time series, panel data, etc.
Comfortable handling multiple projects to solve varied problems working with multiple teams
Detail-oriented mindset
Sense of ownership of his/her work, working well both independently as well as collaboratively
This role requires commuting into our London office Mondays through Fridays.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp is, at its core, a fintech company. Our financial infrastructure enables us to issue cards, move money globally, and manage treasury flows for our customers. Stablecoins are emerging as a critical lever to make these flows faster, cheaper, and more accessible.
We are looking for a Software Engineer to join our engineering team with a dedicated focus on stablecoin-based payment and treasury systems. In this role, you will act as both a technical owner and multiplier: working on core stablecoin services, ensuring secure and reliable integrations with external partners, and guiding Ramp’s evolution toward next-generation fintech solutions.
Our ideal candidate combines deep curiosity about eventually consistent distributed systems with strong financial infrastructure experience, thrives in highly regulated and mission-critical environments, and has a passion for diving into new problem spaces.
WHAT YOU'LL DO
- Help build & scale Ramp’s stablecoin-based payment and treasury infrastructure
- Partner with external providers and internal stakeholders to deliver end-to-end product flows
- Solve Ramp’s toughest fintech challenges with new technologies
- Collaborate with engineers across Ramp to integrate stablecoin capabilities into core products
WHAT YOU NEED
- Minimum 5+ years of experience shipping high-quality architectures for critical systems preferred
- Proven experience with stablecoin technologies, blockchain-based payment rails, and/or wallet infrastructure
- Strong production experience with cloud environments (AWS, GCP, or Azure) and Infrastructure-as-Code (Terraform or equivalent)
- Deep proficiency in at least one object-oriented or functional programming language (Python, Go, Java, or similar)
- Experience working on security-sensitive systems, with interest in key management, wallet security, or secure transaction flows.
- Experience building or operating payments, money movement, treasury, stablecoin, or crypto infrastructure in production environments
NICE TO HAVE
- Intuition for on-chain UX and settlement mechanics, including wallet-based transaction signing, confirmation/finality, and chain-level tradeoffs like fees and latency.
- Direct experience building on-chain wallets or with integrating a crypto onramp / offramp APIs for custody and remittance flows
- Experience integrating with external financial service providers and APIs at scale
- Familiarity with cross-border settlement, FX, or treasury management systems
- Background in highly regulated fintech environments (e.g., payments, banking, or government-compliant infrastructure)
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Serbia
Workplace: remote
ABOUT YOU
We are seeking a visionary Staff Software Engineer – Identity & Access Management to architect, build, and scale the foundational security layer of our global ecosystem. In this role, you will take full ownership of our authentication and authorization infrastructure, ensuring that millions of users can securely interact with our services. Working at the intersection of security, platform stability, and developer experience, you will lead the design of mission-critical systems—from identity federation and complex token lifecycles to fine-grained access control models.
This is a high-impact position for an engineer who excels in the Golang ecosystem and thrives on the complexity of high-stakes security systems. You aren’t just implementing protocols; you are building a resilient, multi-tenant identity fabric that supports everything from global gaming integrations to sophisticated SaaS architectures. If you have a deep-seated passion for data privacy, a "security-first" mindset, and the technical depth to navigate the nuances of OAuth 2.0, OIDC, and beyond, you will find a home here.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers reach more players and grow their businesses around the world.
For more information, visit xsolla.com.
QUALIFICATIONS & SKILLS
Core Engineering Excellence
Decade of Experience:
10+ years in backend or systems engineering, with at least 5 years dedicated to the
Identity & Access Management (IAM)
domain.
Golang Mastery:
Expert-level proficiency in Go, with a track record of building high-performance, concurrent, and scalable distributed systems.
Cloud-Native Mindset:
Proven experience deploying and managing services within
Kubernetes
environments (AWS or GCP).
Identity & Security Deep-Dive
Auth Protocols:
Deep architectural understanding of
OAuth 2.0, OIDC, JWT
, and
SCIM
.
Lifecycle Management:
Hands-on experience with identity federation, sophisticated token management, and complex access control flows.
Security First:
Strong grasp of modern security best practices, encryption standards, and secure coding principles.
BONUS POINTS
Advanced Auth Models:
Experience implementing fine-grained access control such as
ReBAC, ABAC
, or utilizing
Open Policy Agent (OPA)
.
Ecosystem Knowledge:
Familiarity with industry-leading identity providers and frameworks like
Ory (Kratos/Keto), Keycloak, Auth0
, or
ForgeRock
.
Scale & Architecture:
Background in building
multi-tenant
architectures, specifically for global SaaS platforms or large-scale Gaming ecosystems.
Community Footprint:
Active contributions to
Open Source
Golang projects or security-focused libraries.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Paris
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
About the role:
As a Data Scientist at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally.
In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Generative AI and Computer Vision technologies.
You will be expected to work closely and collaboratively with Product, Development, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com.
What you will be doing:
- Drive the design and development of innovative GenAI and Computer Vision-based approaches to solve complex, real-world identity verification challenges.
- Execute deep-dive exploratory data analysis (EDA) and technical discoveries to generate meaningful, novel insights that shape product direction.
- Design, implement, and analyze rigorous experiments and A/B tests to quantitatively measure model performance and directly guide iterative improvements.
- Take full ownership of new model development, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment.
- Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives.
- Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization.
About You:
- Over 5 years of applied experience as a Data Scientist in a data-intensive environment, working with complex, large-scale, and diversified data sets.
- Expert-level Python programming knowledge and demonstrable experience deploying models in a high-traffic production environment.
- Proven experience in GenAI / Computer Vision model experimentation, including the creation and implementation of deep-learning models and scalable GenAI pipelines.
- Exceptional communication skills, with the ability to articulate technical concepts and complex findings clearly to both technical and non-technical audiences.
- Parlez-vous français? Excellent French language skills (written and spoken) are a non-negotiable for this role. You’ll be diving straight into a French-speaking environment from day one.
- A proactive mindset: the drive to challenge existing processes and decisions to continuously improve efficiency and outcomes for everyone.
- Highly curious, able to take initiative, and work with a high degree of autonomy.
- Strong commitment to a data-driven approach, consistently defining clear success metrics and rigorously measuring progress against them.
- Flexible and adaptable, with a strong willingness to rapidly learn and master new technologies and domains.
Bonus Points:
- Solid theoretical and practical knowledge of Computer Vision, Machine Learning, and Generative AI principles.
- Direct experience solving real-world business problems through innovative, data-driven approaches.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Athens; Limassol
Workplace: onsite
German - Speaking Business Development Officer
The Role:
We are looking for a driven and strategic Business Development Officer to support international growth and strengthen our market presence across multiple countries. The role focuses on business expansion, relationship management, and execution of growth strategies aligned with corporate objectives.
The main responsibilities of the position include:
Set and support departmental KPIs in line with corporate targets and develop action plans to achieve them
Support market penetration and expansion strategies across existing and new countries of operation
Build and maintain strong relationships including regular meetings and ongoing engagement
Identify new business opportunities and contribute to the development of tailored strategies per market
Promote company products and services, ensuring strong knowledge of competitor offerings
Participate in events, seminars, and promotional activities across different countries
Prepare presentations, reports, and market analyses to support decision-making
Coach, motivate, and develop team members to ensure high performance
Main requirements:
BSc in Business Administration or any Business-related field
Proven experience in business development, client/partner relations or similar role.
Fluent/Native
in German
.
English knowledge is a must.
Self-motivated and results driven
Ability to cope under pressure
Strong communication and interpersonal skills, with the ability to influence key stakeholders
Excellent client handling, problem solving and negotiation skills
Good management and leadership skills
Computer literate
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Americas Remote
Hi, I'm Brian, Senior Director of Engineering at Customer.io. We're looking for experienced engineers who want to own a channel end to end — from the infrastructure that delivers billions of messages reliably, to the product surfaces our customers use to build, send, and analyze their campaigns. You'll work across the stack, bringing both systems thinking and product craft to one of the most technically rich problem spaces in the industry.
You don't need email experience to apply.
We can teach you the email domain. The engineers who thrive here are the ones who love learning a deep problem space, not only the ones who arrive already knowing it.
About Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You own problems end to end. You move fast, act like an owner, and thrive in ambiguity. You've led complex projects before, whether officially or not, and you're ready to do it again.
Engineers with product taste
You think like a user, not just an engineer. You care how your systems power real customer value — and how to make them better.
A healthy skepticism for "the way things are done"
You bring rigor and creativity. Best practices matter — but never more than forward motion.
What You'll Do
Build and evolve the frontend experiences customers use to create, preview, and analyze campaigns — editors, configuration, and analytics dashboards
Design and scale backend systems that process high volumes of messages and events: queue management, retry logic, rate limiting, and real-time event pipelines
Build automated systems that respond intelligently to feedback signals from external providers — classification, suppression, throttling, and health scoring
Partner with in-house domain experts to turn their knowledge into automated tooling — you bring the systems skills, they bring the email depth
Instrument and monitor channel health end to end: signal detection, anomaly alerting, and observability
Own problems end to end — from architecture and schema design to testing, deployment, and monitoring
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Share knowledge and raise the bar through short videos, thoughtful writing, and mentorship
Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output
What We're Looking For
7+ years of experience building scalable, distributed systems in Go (or similar statically typed languages)
Experience building product-facing frontend features in React or similar frameworks, with attention to UX quality and polish
Experience building or consuming APIs that handle high-throughput async workloads — event streams, queues, and systems that degrade gracefully under load
Comfort integrating with external systems you don't control — third-party APIs, rate limits, opaque failure modes — and designing for resilience around them
Comfort working in cloud-native environments (AWS, GCP)
Familiarity with relational databases (we use MySQL primarily) and an understanding of performance tradeoffs
Experience with observability tooling and operating production systems
A bias for action over perfection, and pride in owning technical decisions
Nice to have:
Familiarity with email infrastructure — deliverability, authentication standards (SPF/DKIM/DMARC), sender reputation, or high-volume sending
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave
,
unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions — just a clear, human process designed to help both of us make an informed decision.
Application — We review everyone with care. Tell us why you're interested.
Recruiter Call (30 mins) — Let's chat about what you're looking for and how we work.
Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise.
Technical Interview (60 mins) — A collaborative system design conversation focused on scaling challenges.
Take-Home Assignment — Complete a short, realistic task similar to what you'd work on here.
Assignment Review Call (60 mins) — Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate.
Project Deep Dive (60 minutes: A focused conversation on a technical project you've owned end-to-end, and how you balance planned work against urgent, customer-impacting issues.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone — apply now.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
Responsibilities:
Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
Present complex technical analyses and recommendations to both technical and non-technical stakeholders
Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
You may be a good fit if you have:
7+ years of experience in data science or analytics roles
Deep expertise with Python, SQL, and data visualization tools
Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
Highly effective written communication and presentation skills
A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
A passion for the company’s mission of building helpful, honest, and harmless AI
Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
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:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Limassol; Nicosia
Workplace: hybrid
The Role:
We are seeking a motivated and curious Junior Corporate Services Systems Engineer to join our Systems Engineering team. In this role, you will play a key part in the day-to-day maintenance, administration, and support of our cloud systems and services.
This is an excellent opportunity for someone eager to kickstart their career in IT operations, gain hands-on experience with modern cloud infrastructure, and learn from experienced engineers in a collaborative environment.
The main responsibilities of the position include:
Manage and administer multi-cloud subscriptions (PaaS/SaaS) across Microsoft Azure and other providers, overseeing implementation, capacity planning, and performance monitoring.
Resolve complex technical issues by providing Level 2 and Level 3 troubleshooting, incident management, and service-level tracking.
Oversee the Microsoft Entra ID (Azure AD) environment
, including Conditional Access, identity protection, group management, and Single Sign-On (SSO) integrations.
Manage Microsoft 365 Enterprise products
(SharePoint, Teams, compliance tools) and
administer Intune MDM
for Windows, Mac, iOS, and Android endpoints.
Enforce role-based access controls (RBAC)
by maintaining the Enterprise Access Control Matrix.
Partner with Information Security
to research and deploy system hardening solutions, conduct routine security audits, and
identify
vulnerabilities.
Deploy automated patch management solutions
for Microsoft and third-party software, including executing emergency patching procedures.
Liaise with external partners and cross-functional teams
to design, deliver, and document new IT solutions that support business growth.
Mentor and train the IT Service Desk team
, creating detailed documentation and work instructions to elevate overall support quality.
Main requirements:
BSc/MSc in Information Technology or any other relevant degree
At least 2 years of ex
perience in a Systems Administration or relevant position
Strong team
player, good communications skills
Strong analytical and troubleshooting skills
Ability to cope with stress and meet deadlines
Ability to multitask and prioritise
Problem solving and critical thinking skills
Self-motivated,
proactive
and efficient
Deep understanding of the following:
Security Hardening & Patch Management
Cloud Systems Management: Azure
Mobile Device Management (MDM)
Windows & MacOS
Microsoft 365 Products
Scripting Skills
Benefit from:
Attractive remuneration package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Athens; Limassol; Nicosia; Thessaloniki; Fully Remote - in other eligible locations
Workplace: hybrid
The Role:
As part of the QA team, you will work in cross-functional, innovative, agile tech teams to ensure quality is consistent throughout the development process. You will be involved in front-end, back-end, and E2E testing, and you will be offered fantastic opportunities to learn and develop.
The main responsibilities of the position include:
Understand and clarify business requirements, features, and technical implementation
Enhance software delivery and quality throughout the entire software development cycle
Ensure that software meets functional and non-functional requirements
Stay up to date on the latest testing trends and technologies related to DB and API
Report testing status to project teams and Head of the QA department
Track issues and drive resolutions throughout the testing process
Manage in-house testing documentation, write and continuously review test strategy
Validate crypto trading flows including order placement, execution, and settlement
Participate in testing high-availability and high-throughput systems handling real-time trading data
Main requirements:
BSc/MSc in Computer science
3+ years of experience in manual testing of software products
1+ year of QA experience working specifically with crypto, blockchain, Web3, DeFi, or digital asset platforms
Practical experience validating blockchain-related workflows such as wallets, transactions, asset transfers, or network interactions
Experience testing trading, exchange, fintech, or payment platforms with complex transactional flows
Practical experience in GUI and API testing is a must
Knowledge of SQL and database concepts
Strong knowledge and experience in software testing concepts and methodologies
Strong interpersonal and organisational skills
Committed to excellence, continuous improvement, and to achieving the best results
Methodical, analytical, and meticulous
Very good written and verbal skills in English
The following will be considered an advantage:
Experience in mobile testing (iOS/Android)
Experience in any scripting language
Experience in automated testing
Familiarity with different API protocols and technologies
Solid understanding of KYC/AML flows in crypto platforms
Certified with a testing-related certification such as ISTQB
Benefit from:
Attractive remuneration package
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits you
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users.
This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most.
WHAT YOU'LL DO
• Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions
• Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow
• Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations
• Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface
• Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product
• Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis
• Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view
WHAT WE'RE LOOKING FOR
• 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality
• Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you
• A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction
• Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred)
• Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering
• Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right
• Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions
• Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment
NICE TO HAVE, BUT NOT MANDATORY
• Experience analyzing payments, card issuing, or cross-border fintech products
• Exposure to stablecoins, crypto, or on-chain data
• Previous startup or hypergrowth environment experience
• Experience standing up an analytics function from early days
ROLE DETAILS
• Individual contributor role (no direct reports)
• Hybrid schedule based in our New York City office
Things that enable a fulfilling, healthy, and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: București, Romania
Workplace: hybrid
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide.
But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for a highly driven and execution-focused Head of Operations to lead the day-to-day performance of our Live Casino business within PlayMatrix!
This role is responsible for running a tight, efficient, and scalable live casino operation—ensuring 24/7 delivery, optimizing costs, and maximizing studio revenues. You will own operational performance across studios, workforce, and service delivery, turning strategy into disciplined execution.
What You’ll Own:
Studio Efficiency & Cost Optimization
Optimize cost structures across studios, including staffing, scheduling, and resource allocation.
Closely monitor and improve key metrics such as:
Cost per table / per shift
Staffing ratios
Studio utilization
Identify inefficiencies and implement initiatives to reduce operational costs without impacting quality.
Maximize revenue generation from live casino studios through:
Table performance optimization
Capacity utilization
Market-specific adjustments
Operational Performance & Delivery
Drive operational discipline, consistency, and reliability in game delivery.
Ensure seamless 24/7 live casino operations across all studios and markets.
Lead incident management, escalation handling, and rapid resolution processes.
Maintain clear KPIs, SLAs, and performance tracking across all operational layers.
Compliance & Risk Management
Ensure full adherence to gaming regulations, licensing requirements, and internal policies.
Partner with Compliance and Legal teams on operational governance.
Maintain strong fraud prevention and risk control practices.
Scalability & Execution
Oversight of new studio launches and High level Technical understanding of what it takes to launch a new studio
Ensure operational readiness and smooth execution of growth initiatives.
What We’re Looking For:
8+ years of experience in operations, with strong exposure to high-volume, 24/7 environments.
Experience in live casino similar real-time operations is crucial.
Proven track record in cost optimization and operational efficiency.
Experience managing large, shift-based teams.
Strong operator mindset: structured, disciplined, and results-driven.
Highly analytical, with a focus on metrics, performance, and continuous improvement.
Ability to balance cost efficiency with quality and revenue outcomes.
Hands-on leader who can dive into operational details when needed.
Strong stakeholder management across Operations, Tech, Product, and Commercial teams.
Comfortable working in fast-paced, high-pressure environments.
Here's What We Offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
The Engineering Platform team helps 300+ Ramp engineers move faster without breaking things. We work across the full software development lifecycle, including local development, CI/CD, testing, service frameworks, reliability, architecture, performance, and maintenance.
Platform engineers on this team do not wait for a roadmap to be handed to them. They find high-leverage problems, validate them with engineers and data, ship solutions, and iterate until those solutions are trusted, adopted, and durable.
Agentic development has expanded our mission. We are building the systems that let engineers and AI agents work together effectively in Ramp’s large, complex codebases: clear abstractions, orchestration, reliable workflows, fast feedback loops, and strong guardrails are now even more important. These platform investments unlock agentic workflows that can plan, execute, test, review, and ship meaningful changes, helping every engineer and agent at Ramp maximize their impact.
What You'll Do
- Improve Ramp’s development workflows across CI/CD, testing, local development, code review, deploys, and remote environments.
- Design paved paths for high-frequency engineering tasks, including service creation, migrations, reliable background jobs, and safe production changes.
- Help Ramp’s codebase and infrastructure scale by improving modularity, performance, reliability, and maintainability across our Python monolith, internal libraries, and database systems.
- Identify repetitive or error-prone engineering workflows, then build automation that helps engineers and AI agents complete them faster, more consistently, and more safely.
- Turn recurring sources of friction or risk into reusable systems, workflows, and defaults that teams actually adopt.
What We're Looking For
- You think in systems across code, infrastructure, workflows, reliability, performance, and people.
- You have built and led improvements to systems that make other engineers more effective, including developer tooling, CI/CD, test infrastructure, service frameworks, or large-scale codebase architecture.
- You are comfortable with ambiguity and ownership. You can identify problems, align stakeholders, make tradeoffs, ship useful solutions, and iterate. You dive into whatever part of the tech stack or process is necessary to solve problems.
- You understand that speed and quality go hand in hand: the best platforms make safe, high-quality engineering feel faster, not slower.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate.
Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams.
While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must.
WHAT YOU’LL DO
- Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements.
- Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack
- Empower the sales team with tools and knowledge to close deals quickly
- Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business
- Closely follow technical, legal, and policy developments in the generative AI space
WHAT YOU’LL NEED
- A J.D. and admission in good standing with at least one state bar
- 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company
- In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have
- Bias for action and a willingness to take ownership
- Growth mindset that prioritizes continuous operational improvement and service excellence
- Experience with scaling business processes globally and operating in environments that have achieved significant scale
- Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Beijing, China; Shanghai, China; Guangzhou, China; Shenzhen, China; Chongqing, China; Chengdu, China
The Company
Our client is a fast-growing D2C longevity/wellness startup. Their founding team came together around a shared commitment: to enable everyday people to access clean, high quality supplements with transparent ingredients based on the latest scientific insights in rapidly growing field of longevity.
Our client takes great care in selecting only high quality ingredients from reputable sources and in a rare move for the supplement industry transparently publishes the supplier of each ingredient used on its website. All supplements are also double tested for purity and against contamination in an independent 3d party lab.
The Role
Our client is looking for a self-driven, highly motivated
Performance Marketing Manager
to be the architect of their digital marketing in China. Reporting directly to the Head of China Business, you'll operate within a highly lean, fast-moving global structure with the autonomy to build, own, and scale their performance marketing capabilities.
The science of longevity is a global revolution, and our client is looking for a pioneering
Performance Marketing Manager
to drive their digital expansion in China. By building and optimizing our growth engine across China, you will directly empower millions to take control of their healthspan and age on their own terms.
Responsibilities
Establish and execute a robust in-house performance marketing strategy across major Chinese platforms (Douyin, RedNote, Tmall, JD.com), managing the channel mix across paid ads, KOL partnerships, and livestreaming.
Ensure our scientific messaging translates flawlessly and resonates deeply across all localized touchpoints, to preserve our client’s premium Swiss positioning.
Collaborate with our local Trading Partner for operational smoothness, inventory alignment, and high-impact execution during major campaign cycles (e.g. 6.18 and 11.11 campaigns).
Conduct market research and benchmarking to identify emerging consumer trends, monitor competitor activities, and unlock new insights for optimization in the Chinese market.
Continuously analyze campaign performance, customer acquisition costs, and performance marketing funnel metrics to optimize ROI and scale growth efficiently.
Requirements
Our client is looking for a proactive self-starter who blends analytical rigor with deep cultural market insight.
Based in China and able to work in office 2-3 days per week.
You possess deep,
hands-on expertise in China's digital ecosystem
, including ads management, livestreaming strategies, and influencer networks on Douyin, RedNote, Tmall, and JD.com.
Minimum of a Bachelor’s degree with strong analytical background.
2-5 years of high-impact performance marketing experience, ideally within a fast-growing D2C brand, e-commerce, or health-tech startup.
Fluent in both
Mandarin Chinese and English
is a must
to bridge our global and local operations effectively.
Data-driven mindset and advanced proficiency in Microsoft Excel to model, track, and optimize complex campaign metrics.
You are proactive, highly independent, and thrive in a startup environment where you can identify opportunities and take ownership without waiting for a playbook.
Passion for health, wellness, and longevity (or the eagerness to dive deep into the field).
Benefits
Our client believes the best companies help you become the person you want to be by promoting personal freedom and growth.
High Impact:
Work at a well-funded, early-stage startup with a high degree of personal responsibility and creative freedom.
Elite Collaboration:
Partner with world-class longevity researchers and successful serial entrepreneurs.
Radical Flexibility:
Fully remote roles with home office support, flexible hours, and unlimited holidays.
Growth & Culture:
Education allowances, accelerated growth paths, and a vibrant team culture including regular off-sites.
Perks:
Complimentary longevity products and discounts for your inner circle.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
Support customers building with the Claude API, Claude Code, and Claude for Enterprise
Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
Build reusable blueprints, demos, and enablement assets that scale across customers
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$240,000
—
$315,000 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: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Runway’s Legal team is looking for a Litigation Counsel to help manage Runway’s litigation and dispute resolution work day-to-day, with strategic guidance from the Associate General Counsel, Litigation. You’ll work on a broad docket of litigation and pre-litigation matters, advise business stakeholders on litigation risk, and help to build out the litigation function as the business scales. You’ll join a lean team where everyone carries real responsibility, and you may have the opportunity to pitch in on a variety of other legal domains to support the team.
You’ll work at the cutting edge of a highly technical and rapidly evolving area of the law, navigating challenges that are shaping the future of the industry. This role reports to the Associate General Counsel, Litigation.
WHAT YOU’LL DO
- Manage litigation, third-party process, dispute resolution, and regulatory requests involving the company. This spans everything from helping Runway develop its strategy on cutting-edge legal questions to owning all in-house-side discovery execution
- Manage outside counsel across all stages of litigation, with a focus on case strategy and the quality of written advocacy
- Build, improve, document, and execute repeatable processes for the areas above to help the litigation function operate efficiently and effectively at scale
- Advise key stakeholders on litigation risk, aligning legal strategy with business priorities
- Field day-to-day requests from legal team members and cross-functional partners who want your litigation perspective on their commercial, product, and other legal work
- Partner with Runway’s Customer Support Team to advise on and help resolve small disputes and escalations
- Monitor regulatory and policy developments relating to generative AI, and advise our AI safety, product, and engineering teams on them as appropriate
- Dive into the technical aspects of the product and industry to learn them inside and out, and use that knowledge to inform your advice to the business
- Support the team in other legal domains, which may include employment, trust & safety, policy, commercial, privacy, and IP
WHAT YOU'LL NEED
- A J.D. and admission in good standing with at least one state bar
- 5+ years of dedicated litigation experience (can include clerkships)
- Litigation experience in some combination of copyright, class action, securities, and regulatory matters
- Deep knowledge of complex civil litigation practice and procedure, including discovery and federal and state court rules
- A track record of running litigation matters, including developing case strategy, managing discovery, drafting and editing briefs, gathering information efficiently and preparing witnesses for depositions
- A working knowledge of the key legal issues in Runway’s industry
- Excellent written and oral communication skills. This includes giving practical, clear, and commercially sensible advice, and advocating for a position while staying open-minded
- Sound judgment under pressure and strong business acumen
- The ability to manage multiple workstreams, prioritize effectively, and consistently deliver results
- A strong sense of ownership, both in the highest-level strategic work and in smaller day-to-day tasks
- Creative problem-solving, low ego, curiosity, and a bias for action
NICE TO HAVE
- In-house experience (particularly at a technology company)
- Experience with emerging technologies, particularly generative AI and copyright litigation
- Familiarity with Runway and the generative AI video industry
- Excitement about generative AI, and the motivation to become a leading expert in the legal landscape governing a rapidly innovating industry
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Belgrade; Tbilisi; Madrid; Riga; Valencia; Yerevan; Poland
Workplace: remote
About us:
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.
Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.
We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.
We are looking for a Lead Android Developer who will take personal responsibility for every new feature inside the P5D product. This is a role for someone who still enjoys writing code and wants to have real influence on the product. You will work on complex parts like graphic engine, multiplayer technology and Ai, including: Design Generator for image-to-image creation, Plan Upload to convert files into projects, AI Designer for styling and furniture layout, and Bernard AI - an LLM that answers questions, gives advice, and controls the AI Designer.
We care a lot about quality - clean code, strong engineering standards, and decisions that drive the market. We keep things simple - no extra layers of approval when good judgment is enough. Our engineering team has real power to suggest better tech solutions and influence product. That freedom comes with real responsibility because your decisions will have a tangible impact in a product used by 100M+ users. We love to learn: we dive into challenges and give 100%. Every tough task is just a way to find a better solution and get better at what we do.
You will be surrounded by strong engineers with high standards. It is a demanding environment, but also one where good work is respected and where you can work on really interesting technical challenges - including the Editor, 3D engine, geometry, and rendering.
Responsibilities:
Take ownership of Android development and build a strong understanding of the codebase and existing solutions
Choose the right technologies and approaches based on the problem and long-term product needs
Be involved in all aspects of the product development, from pixel-perfect design to analytics, payments, and user authentication
Work on interesting and complex features, from simpler tasks like building custom views and APIs to 2D/3D graphics, VR, AI, CRDT and similar
Utilize popular Android libraries and Kotlin solutions
Help the team solve technical problems, answer questions, and find practical solutions
Develop a modular codebase, conduct thorough code reviews, follow best practices and coding guidelines
Work closely with both technical and non-technical teams
Support hiring as the team grows
Requirements:
7+ years of experience in Android development (including Leadership experience)
Extensive experience with Kotlin and Java
Extensive knowledge of the Android ecosystem (Android SDK, Jetpack, Dagger, and common libraries)
Experience with SQL, SQLite, and Room
Experience with concurrency and asynchronous programming (Kotlin Coroutines and RxJava)
Experience working with REST APIs, JSON, XML, Git, and Protobuf
Very good understanding of software design, code quality, and testing practices
Ability to write clean, readable, and maintainable code
Ability to make technical decisions and explain trade-offs
Provide mentoring and constructive feedback to developers
Strong sense of ownership
Clear and concise communication
Ability to work effectively with both technical and non-technical teams
Experience with in-app payments and subscriptions
Fluent English
Nice to have:
Experience with 2D/3D graphics (Canvas, OpenGL, Vulkan, or Google Filament)
What we offer:
- Great work environment that balances freedom and responsibility
- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge
- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
- Company computer equipment by request
- Education courses for our team members, and we're willing to allocate funds toward your training expenses
- English classes on our corporate platform
- Offline company events in Lithuania and online team-building
- Unlimited free Planner5D subscriptions
УдалённоNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
УдалённоSerbia
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorRemote; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоleadBelgrade; Tbilisi; Madrid; Riga; Valencia; Yerevan; Poland; From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market