Location: London, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United Kindom, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Limassol; Nicosia; London; Athens; Fully Remote - in other eligible locations
Workplace: hybrid
The Role:
We are looking for a passionate and experienced Data Steward to join our fast-growing team! The successful candidate will join a Data Governance team responsible for collaborating with our main IT stakeholders and the business data consumers to implement standard methodologies related to data cataloguing, data issues process, implementing data quality metrics and governance model plus establishing business rules and data requirements that align with each department’s goal.
The main responsibilities of the position include:
Be the eyes and ears for data-related matters within an organisation
Engage with data champions and working groups across the organisation
Implement standardised data process and guidelines to ensure they are being followed
Drive consistent data accuracy, serve as an escalation point and resolve data related issues
Create and maintain business metadata definitions, domain values and business rules
Support Data Catalogue implementation, development, and enrichment
Support governed change control of metadata
Embed data ownership
Guide and advise the business users, projects, and IT teams on meaning and use of data
Perform execution of data issue process
Assist in the development of data domain business rules (algorithms, calculations, processing requirements, etc.)
Work with the Data Quality Analyst team to define data standards, business rules and embed best practice
Main requirements:
BSc/MSc in Information Technology or any other related field
Minimum 2 years’ experience in data stewardship or a similar role
Excellent stakeholder management and collaboration skills
Sound knowledge of data governance practices and processes
Good understanding of data quality processes
Experience working with business, operational data and technical teams to clearly detail data governance and metadata requirements
Experience in executing remediation activity to address quality issues, identifying data enhancements or improvements, and defining master / golden sources
Broad understanding of client journeys in a service- and product-oriented organisation
Strong analytical skillset
Ability to inspire users to follow the data governance framework at the company; have a good rapport with the users, and possess business maturity
Experience in either creating or using a data catalogue
Benefit from:
Attractive remuneration package plus performance related reward
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.
Architecture & Design — Lead the design and implementation of core protocol components, from initial prototypes to production-grade deployment.
Protocol Development — Develop and optimize data structures, consensus algorithms, and cryptographic implementations (e.g., zero-knowledge proofs).
Security & Verification — Identify attack vectors, failure modes, and performance bottlenecks; apply formal verification or simulation to validate designs.
Cross-Functional Collaboration — Partner with researchers, product managers, and security teams to translate roadmaps into precise technical specifications.
Mentorship & Quality — Drive code quality through design reviews, documentation, and technical leadership; mentor junior engineers.
Technical Skills
Advanced proficiency in systems-level languages used in blockchain (Rust, Go) and smart contract languages (Solidity).
Demonstrated track record of open-source contributions in the Web3 ecosystem.
Domain Knowledge
Strong background in distributed systems, peer-to-peer networking, and modern blockchain primitives (rollup technologies, account abstraction).
Up-to-date with rapidly evolving standards such as Ethereum upgrades and inter-blockchain communication protocols.
Problem-Solving
Proven ability to debug complex issues across network and application layers.
Experience making high-level architectural tradeoffs across performance, scalability, and security.
Communication
Ability to document system improvements and communicate technical concepts to both technical and non-technical stakeholders.
Fluency in English, and Korean proficiency would be a plus.
Hiring Process
Resume Screening → 1st Interview → 2nd Interview → Salary Negotiation
Contract Type
Singapore: Full-time Employee (Onsite)
Worldwide: Service Contractor (Fully Remote)
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Healthcare is entering a new era where AI can fundamentally transform how organizations understand populations, improve outcomes, reduce administrative burden, and deliver better experiences for patients and providers. Arcadia is uniquely positioned at the intersection of healthcare data, analytics, and workflow intelligence to bring these capabilities to market.
We are looking for a Principal Product Manager, AI Products to help define and deliver the next generation of AI-powered healthcare solutions. This leader will own critical product investments that leverage generative AI, advanced analytics, and intelligent automation to solve meaningful customer problems and create measurable business value.
Principal Product Managers at Arcadia are builders, operators, and end-to-end owners. They combine deep customer understanding, strong technical fluency, and relentless execution to bring innovative products from concept to customer adoption. They operate with significant autonomy, influence company strategy through product outcomes, and are accountable for delivering enterprise-grade capabilities that customers trust and depend on.
This role is ideal for product leaders who thrive in fast-moving environments, can translate emerging AI technologies into real-world customer value, and are energized by shipping products rather than managing process.
Success is measured by products delivered, customer outcomes achieved, business impact created, and the ability to establish yourself as a trusted expert with customers and cross-functional partners.
What Success Looks Like
In 3 months
Develop working expertise in Arcadia’s platform architecture, customer workflows, AI strategy, and data ecosystem
Identify and prioritize high-impact product opportunities within assigned domain ownership
Ship at least one meaningful customer-facing enhancement or production capability
Demonstrate the ability to independently navigate ambiguity and drive product decisions to execution
In 6 months
What You'll Be Doing
Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact
Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale
Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows
Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
Act as the accountable owner for shipping high-quality products on a predictable cadence
Mentor and elevate product management practices across the broader Product organization
What You'll Bring
Education
Bachelor’s degree required; advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field preferred
Experience
12+ years in enterprise SaaS, platform products, AI-enabled products, data products, or similarly complex technical environments; bonus if experience includes healthcare environments
Experience building and scaling enterprise-grade AI, machine learning, or generative AI products
Experience delivering products powered by LLMs, agentic systems, retrieval-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies
Proven track record shipping products used by enterprise customers at scale
Experience defining and delivering products tied to measurable business outcomes and revenue impact
Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives
Demonstrable understanding of how product decisions connect to business performance and customer value realization
Experience partnering closely with Engineering and GTM organizations to successfully bring products to market
Technical Fluency
Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance
Ability to engage deeply with engineering teams on architecture, implementation tradeoffs, and production deployment decisions
Qualities
Highly autonomous operator with strong ownership mentality and executive presence
Collaborative leader capable of influencing across Product, Engineering, Analytics, and Executive teams
Demonstrated ability to create clarity, structure, and momentum in ambiguous problem spaces
Practiced in building new products, processes, and operating models from the ground up
Strong ownership orientation with a bias toward action and execution
Skills
Exceptional product strategy, prioritization, communication, and execution leadership
Strong analytical and technical fluency, including ability to navigate complex platform and AI-enabled product discussions
Ability to translate customer, operational, and business needs into scalable product direction and measurable outcomes
What You'll Get
The opportunity to shape the future of AI-enabled healthcare products and platform innovation at scale
Significant influence over strategic product direction, organizational maturity, and next-generation customer experiences
The opportunity to solve some of healthcare’s most complex operational, clinical, and data challenges alongside exceptionally talented cross-functional teams
A highly visible role with meaningful executive partnership and organizational impact
The ability to help define how AI, automation, analytics, and workflow transformation reshape healthcare delivery and operations
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: South Africa; Philippines; Pakistan; North Macedonia; Serbia; Romania
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a high-level Meta Ads strategist to take full ownership of performance for a growing portfolio of insulation and home improvement businesses. This is not a generalist role or a position for beginners; we need a specialist who understands the nuances of high-ticket lead generation and the home services vertical. You will be responsible for driving qualified applications and booked inspections, managing client relationships directly, and ultimately transitioning into a leadership role as the team expands. If you have a "foundership" mentality and a proven track record of scaling accounts through rigorous testing and data-driven execution, we want to hear from you.
Key Responsibilities
Manage and optimize Meta ad campaigns for a portfolio of 10+ active client accounts.
Build, test, and iterate on lead gen, VSL, and booked-call funnels to maximize conversion.
Own the client relationship entirely, leading weekly reporting calls and providing clear, actionable insights.
Collaborate directly with leadership to develop aggressive ad creative, including hooks, angles, and copy.
Monitor budgets, pacing, and delivery to ensure efficient scaling and ROI.
Identify underperforming metrics before they become issues and pivot strategies autonomously.
Document and systematize internal processes to prepare for the onboarding of junior media buyers.
Stay ahead of platform changes and algorithm shifts to maintain a competitive edge for clients.
Requirements
Proven experience managing $30k–$100k+ in monthly Meta ad spend across multiple accounts.
Specific experience in the Home Services, Home Improvement, or Contractor verticals.
Deep understanding of high-ticket, considered-purchase sales cycles and lead quality optimization.
Track record of scaling campaigns profitably while maintaining a structured testing methodology.
Extreme ownership mentality: you are proactive, not reactive, and take pride in account performance.
Excellent communication skills with the ability to lead client calls independently without hand-holding.
High level of data literacy and the ability to translate complex metrics into simple business outcomes.
Experience mentoring or reviewing the work of junior media buyers.
Background in developing VSL (Video Sales Letter) funnels for lead generation.
Previous experience in a leadership or "head of" role within a performance agency.
Deep technical knowledge of tracking, attribution, and CRM integrations.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco, CA | New York City, NY | 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
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to reliably serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Significant software engineering experience, particularly with distributed systems
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience with load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
Proficiency in Python or Rust
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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: Remote (Canada); Toronto, Canada
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, our AI Voice Agent team, Revenue Operations and Commercial Systems.
We are looking for a Senior Data Scientist who has strong foundations in data modeling and machine learning to lead high priority initiatives, take ownership as a decision science expert, and help shape the direction of our Commercial team and our AI Voice Agent program.
Some of your projects may include: modeling sales data, creating and improving reporting for business stakeholders, exploratory data analysis to improve our sales processes, and developing and maintaining ML models. Our models are used to solve real business problems and directly impact Wealthsimple’s north star metric. Therefore, experience with supporting sales is a bonus.
In this role, you will have the opportunity to:
- Build and maintain new data models that are accurate and reliable
- Work closely with a wide range of stakeholders from Data Science, Commercial Leadership, Sales Operations, Product, Design, and Engineering
- Define, prototype, implement and improve ML models
- Design experiments to test hypotheses (e.g. which customers should we focus on in our outbound calls)
- Build/maintain reports, dashboards, and metrics to support our north star metrics
- Teach and learn from their teammates. We value making others successful
What you bring:
- 5+ years of experience in a data science/decision science (or equivalent), including time as the primary DS for a domain
- Excellent SQL & Python skills - hands-on experience with data pipeline tools such as dbt and Airflow are an advantage
- Strong stakeholder management skills - an excellent communicator who is able to present results and analyses to senior leadership
- Good understanding of business practices, sales, and client behavior
- Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
- Understanding of fundamental machine-learning algorithms and experience putting them into production in a real-world context
- Experience in managing/mentoring team members in a formal or informal capacity
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
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're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces.
- Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry.
- Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time.
- Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training.
- Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories.
- Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute.
- Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap.
WHAT WE'RE LOOKING FOR
- Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion.
- Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments.
- Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models.
- Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets.
- Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code.
- Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics.
- A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability.
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.
Location: Hybrid (San Francisco, CA); Hybrid (New York, NY)
Workplace: Hybrid
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
THE ROLE
Clipboard https://www.clipboardworks.com/ is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, with over $800M in annual transactions. We're hiring Senior Product Managers to own core domains of the marketplace. Think pricing, matching, reliability, facility onboarding; all the systems the business runs on!
THE WORK
You'll be running a domain where the right answer changes as the marketplace changes, and where your mental model and prioritization are the single most valuable artifact your team has. You will:
- Build the mental model. Grounded in customer conversations, support tickets, Salesforce, and our own data.
- Pick the metrics. The ones that tell you and the org whether you're serving that customer well. When the right metric doesn't exist, you say so and propose the best proxy, limitations stated.
- Steward the improvements. Research, experiments, core flow changes, technical investments. An excellent PM here doesn’t just move metrics, they make prioritization calls that compound.
All of this gets written down and shared constantly. A one-page mental model your team can reference without you in the room. A monthly check-in. Enough visibility that engineers make autonomous decisions and leadership can push back at "is this the right bet" rather than "what's the bet." You'll work alongside an Applied Science https://jobs.ashbyhq.com/clipboard?departmentId=b0a8f86a-7e03-4cd1-a204-deafbabf7893 team that owns the quantitative infrastructure your domain depends on: pricing algorithms, causal models, experiment frameworks.
MINIMUM REQUIREMENTS
- 6+ years of product management, with experience in marketplaces preferred
- You can query data yourself (SQL or equivalent)
- You've shipped meaningful features on a small, fast-moving team
- You write clearly and often
- Ability to work 2-3 days per week out of either our NYC or San Francisco office
WHO THRIVES HERE
- Extreme ownership: the buck stops with you regardless of what anyone else did or didn't do.
- Extreme curiosity: you ask "why" five times on the same problem before you're satisfied.
- You hold a clear point of view and update it visibly when the data disagrees.
- Background in marketplace product, ops research, or operating roles at fast-scaling startups is a strong signal.
Our values live here https://www.clipboardworks.com/resources/blog/clipboard-healths-company-values. If this sounds like a team you want to be on, apply!
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Colombia; Brazil; Argentina; Mexico; Chile; Costa Rica
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a strategic and results-driven Senior Media Buyer to spearhead high-scale paid acquisition efforts. In this role, you will be responsible for managing substantial advertising budgets, optimizing complex campaigns, and driving measurable growth. This is a high-impact position designed for a seasoned expert who thrives on data-driven decision-making and remains at the forefront of the ever-evolving digital landscape.
Key Responsibilities
Develop, execute, and manage full-funnel media buying strategies across primary digital platforms.
Monitor daily performance metrics to ensure KPIs are met and exceeded.
Conduct rigorous A/B testing on creative assets, landing pages, and audience segments.
Analyze large datasets to extract actionable insights and refine targeting parameters.
Collaborate with creative teams to provide data-backed feedback on high-converting ad content.
Manage budget allocations and scaling strategies to maximize ROI and efficiency.
Stay ahead of platform updates, industry trends, and emerging technologies to maintain a competitive edge.
Requirements
4+ years of professional experience in digital media buying and paid acquisition.
Proven track record of managing significant monthly ad spends (e.g., $100k+) across platforms like Meta, Google, or TikTok.
Deep technical proficiency with platform algorithms, tracking implementation, and attribution modeling.
Exceptional analytical skills with the ability to turn raw data into strategic growth plans.
High level of autonomy and the ability to thrive in a fast-paced, performance-oriented environment.
Strong communication skills to articulate performance results and strategic shifts.
Experience with multi-channel attribution software and advanced analytics tools.
Background in direct-to-consumer (DTC) or e-commerce scaling.
Creative strategy experience or basic proficiency in ad design principles.
Benefits
🌎 Fully remote work environment
🚀 Career growth opportunities
📈 Long-term stability
🎯 Performance-based incentives🛠️ Access to top-tier marketing tools and resources
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.
50 Billion Daily Bid Predictions
The adjoe Ads Data Science team owns the entire bidding algorithm that decides which ad you are most likely to enjoy from start to finish: conversion prediction, user quality estimation, and bid shading. Every bid adjoe placed in an ad auction is the output of ML models making 50 billion predictions daily, trained on data from our mobile SDKs that capture real user behavior at scale.
The team moves fast: new ideas tested offline, A/B tests launched in production within minutes. We rely on industry-proven state of the art technology, adapted to our needs and self-hosted where it matters: PyTorch and TensorFlow for modeling, Trino and Athena for querying a 350TB Iceberg data lake, Airflow and Ray for orchestrating our different training pipelines across multiple GPU clusters. Models are built on 600+ features and trained on 200 million data points, with the full ML lifecycle owned by the team from research and experimentation to deployment and real-time inference at sub-200ms latency.
Your Mission & Who We Are Looking For:
- 5+ years in Data Science, 2+ in leadership. You have a track record of architecting and deploying ML solutions, recommender systems and neural networks specifically, and have led data science teams through hiring, mentoring, regular 1-1s, and career development. At adjoe Ads, you'll be growing and managing the team of Data Scientists, Data & ML Engineers, Data Analysts that owns the entire bidding algorithm.
- At least 50% hands-on. This is not a purely managerial role. You work on data science tasks yourself, own critical procedures like experiments and implementation details, and mentor data scientists in advanced modeling, programming quality, and strategic thinking.
- Fluent in data at scale. You've worked with large, diverse data sources AWS Athena, Kafka, Spark, Flink, S3, MySQL and know how to extract signals from a 350TB data lake. Strong Python required; experience building an MLOps stack with Airflow, Spark, or Flink is a strong plus.
- Bridges math and business. You can dive deep into mathematical foundations and translate complex model behavior into clear decisions for product and business stakeholders. You align with the adjoe Ads product team and Cloud Infrastructure on priorities, tools, and best practices.
- Contributes to the roadmap, not just the backlog. You work on long-term strategy and quarterly OKRs, contributing to adjoe Ads' position as a strong competitor in the programmatic adtech market.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce.
This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.
What Success Looks Like
In 3 months
Independently triage and resolve pipeline data quality issues
Author at least one new DBT model or refactor an existing one to meet current modeling standards
Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer
In 6 months
What You'll Be Doing
DATA MODELING & DBT DEVELOPMENT
Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
Help clients understand their data model, assumptions, and limitations through intentional validation
Troubleshoot and fix issues, then write DBT tests to catch issues proactively
Optimize SQL performance for slow-running jobs
Partner with Data Engineering on table design, partition strategy, and incremental patterns
DATA QUALITY OWNERSHIP
Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings
CROSS-FUNCTIONAL QUALITY COLLABORATION
Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis
Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring
Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores
Contribute to and enforce data modeling standards across teams
TECHNOLOGIES
Data modeling: DBT-Spark, SQL, Claude
Warehousing: Amazon Redshift, Apache Hudi, AWS Athena
Data quality: volume/DQ monitors, DBT tests
Orchestration: Argo Workflows, Airflow
Source control: Git / GitHub, PR-based review workflows
Observability: Grafana, Jira
Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI
What You'll Bring
Education:
Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field
Experience:
Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies
Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
Skills:
Clear communicator — able to translate technical findings for clients and non-technical stakeholders
Strong analytical judgment — you can look at a distribution and know when something is wrong
Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
Genuine desire to learn and apply AI tools for operational efficiency
Would Love For You To Have
Experience with Spark SQL and Hudi table format
Familiarity with data quality monitoring tools
Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows
Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics
Python scripting for data investigation and automation
Experience with Argo Workflows or similar orchestration platforms
Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI
What You'll Get
Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data
Flexible, fully remote work environment with the resources and support to do your best work
Exposure to senior leaders
Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment
Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions
Be a part of a mission driven company that is transforming the healthcare industry
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
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:
We are looking for a talented Quantitative Trader to join our Onchain Trading team. This is a technically deep, high-ownership role at the intersection of algorithmic strategy, decentralized finance, and protocol-level market structure. You will contribute across the full trading lifecycle — from building risk infrastructure and designing strategies to managing protocol relationships and structuring liquidity agreements.
What You’ll Do:
Risk & Allocation
Build and maintain risk monitoring systems and capital allocation algorithms for our onchain curator program
Contribute to quantitative frameworks for position sizing, exposure management, and drawdown controls across DeFi protocols
Support real-time portfolio risk tracking across chains and venues
Strategy Design & Execution
Design and operate bespoke trading strategies across DeFi protocols, including AMMs, lending markets, perpetuals, and structured products
Identify and exploit structural inefficiencies in on-chain markets, liquidity pools, and token incentive mechanisms
Iterate on live strategies based on on-chain data, protocol changes, and market microstructure developments
Monitor deployed strategies and manage operational incidents across multiple blockchains
Liquidity Agreements
Assist in the design and negotiation of custom liquidity provision agreements with protocols, DAOs, and ecosystem funds
Support structuring of incentive arrangements, token agreements, and liquidity mining programs
Track performance against agreed terms and contribute to counterparty reporting
AI Implementation
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:
2–5 years of experience in quantitative trading, systematic strategy research, or algorithmic development
Solid Python programming skills, with experience building data pipelines, backtests, or trading tools. Keen interest in exploring and working with new technologies
Deep contract-level knowledge of DeFi protocol mechanics — AMMs (Uniswap, Curve, Orca), lending markets (Aave, Morpho), and other protocols
Understanding of blockchain infrastructure and on-chain data
Degree in a quantitative field – Computer Science, Computer Engineering, Applied Mathematics, Physics, etc.
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
$150,000
—
$200,000 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: Quebec
Workplace: onsite
(Version française ci-dessous)
Graphics Programmer
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Graphics Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
To maintain and extend our proprietary engine on its VFX related part (particle simulation, materials, post-process effects, rendering/lighting pipeline).
Work closely together with Art/VFX department, to implement visual effects of topnotch quality and extending our library of existing VFX components.
Debug and optimize code to hit quality and performance targets
Document code features.
Requirements
Thorough knowledge of C++.
Strong technical background (bachelor’s degree or comparable experience).
Passion for making and playing great games.
Experience with modern graphics APIs like DirectX 12, Vulkan, Metal.
Experience with a wide range of CPU and GPU profiling tools.
Experience with particle system algorithms, including GPU particle implementations.
Excellent knowledge of shading languages and experience with writing complex GPU algorithms using shading languages
.Multi threading should be second nature.
Excellent software design and problem-solving skills.
Excellent software debugging skills.
You are a team player and willing to take responsibility.
This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity.
Fluent in English, both spoken and written*
Nice to haves:
C# experience
Shipped game/console titles strong plus
What we offer:
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
* Due to the global nature of our operations and the need to engage daily with an international team, fluency in English is essential for this position at Larian.
------------------------------------------
Programmeur de graphismes
Maintes fois primé, Larian Studios a amplement démontré sa volonté de proposer des jeux de rôle de très haute qualité. À l’heure où le studio à l’origine de titres comme Baldur’s Gate 3 et Divinity: Original Sin 2 se tourne vers de nouveaux projets, nous sommes en quête d’un programmeur de graphismes qui rejoindra l’équipe et nous aidera à créer les jeux d’excellence auxquels nos fans sont habitués.
Responsabilités
Maintenir et développer notre moteur propriétaire du côté des effets visuels (simulation de particules, matériaux, effets de post-traitement, processus de rendu/d’éclairage)
Travailler en étroite collaboration avec le département responsable des graphismes et des effets visuels afin de mettre en œuvre des effets visuels de grande qualité et d’agrandir notre bibliothèque de composants d’effets visuels existants
Déboguer et optimiser le code pour atteindre nos objectifs en termes de qualité et de performance
Documenter les fonctionnalités du code
Profil recherché
Connaissance approfondie de C++
Solides connaissances techniques (baccalauréat ou expérience similaire)
Passion de faire, et de jouer à, des jeux exceptionnels
Une expérience avec des API graphiques modernes comme DirectX 12, Vulkan ou Metal
Une expérience avec un large éventail d’outils de profilage d’unité centrale et de processeur graphique
Une expérience avec les algorithmes de systèmes de particules, y compris l’implémentation de particules GPU
Excellentes connaissances des langages d’ombrage et expérience dans l’écriture d’algorithmes GPU complexes à l’aide de langages d’ombrage
Le multithread devrait être un réflexe
Excellentes compétences de conception logicielle et de résolution de problème
Excellentes compétences de débogage logiciel
Passion du travail en équipe et volonté d’assumer ses responsabilités
Ceci est un poste à temps plein dans nos locaux. Votre présence au bureau est requise pour favoriser un esprit de collaboration et de créativité.
Maîtrise courante de l’anglais, à l’écrit comme à l’oral*
Éléments appréciés
Une expérience en C#
Gros avantage : avoir lancé plusieurs jeux/titres sur console
Ce que nous proposons
Une équipe internationale de plus de 600 employés répartis dans 7 studios à travers le monde, chacun avec ses propres qualités uniques, le tout en conservant une ambiance conviviale de petite entreprise
Un environnement de travail ouvert et collaboratif, où les idées nouvelles sont encouragées et bienvenues
Une équipe de gestion composée de développeurs expérimentés et au sommet de leur art
Des collègues ayant les mêmes valeurs, avec lesquels partager vos passions et vos passe-temps
Un environnement inclusif avec de nombreuses activités organisées par les studios ou les employés
Un engagement à réaliser le meilleur jeu possible pour les fans, en prenant en compte les commentaires de la communauté
* En raison de la portée mondiale de nos opérations et de la nécessité d'interagir quotidiennement avec une équipe internationale, des connaissances professionnelles en anglais sont indispensables pour ce poste chez Larian.
УдалённоUnited Kindom, United Kingdom
New York
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