Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: New York
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: South Africa; Poland; Portugal; Romania; Mexico; Nigeria
About Huzzle
At Huzzle, we connect exceptional talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established digital brands across SaaS, eCommerce, MarTech, FinTech, and online services. Unlike traditional outsourcing agencies, we place you directly with a client where you are hired in-house as a valued team member.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re hiring a
Creative Strategist
to build and operate a
systematic, data-driven creative engine
that improves ad performance across multiple home improvement client accounts.
This role sits between
performance data and creative production
. You will diagnose why ads succeed or fail, design structured creative testing frameworks, and translate insights into detailed briefs for production teams.
You will
not manage ads, edit videos, or run client calls
. Instead, your focus will be building a repeatable creative system that continuously improves
CPL, creative performance, and account stability
.
This is an ideal opportunity for someone with strong
paid social creative strategy experience
who enjoys combining
analytics, consumer psychology, and structured experimentation
to drive measurable results.
Key Responsibilities
Analyse performance across multiple paid social campaigns for home improvement clients.
Diagnose creative performance issues using data points such as
hook rate, CTR, thumb stop rate, watch time, frequency, and CPL trends
.
Identify the
psychological drivers behind winning creatives
including transformation, safety, status, and esteem.
Design
structured creative testing frameworks
including hook testing, angle testing, and CTA testing.
Develop new creative angles and messaging based on market sophistication and audience awareness stages.
Write
detailed creative briefs for videographers and editors
, ensuring production teams execute with clarity.
Analyse test results and iterate creative direction based on performance evidence.
Identify patterns and winning strategies across multiple client accounts and industries.
Document insights and maintain a
shared creative knowledge system
.
Collaborate closely with media buyers and production teams to improve overall account performance.
Requirements
Must haves
Proven experience improving
paid social performance through creative strategy
, not just media buying or copywriting.
Strong ability to analyse
Meta Ads performance at the creative level
(CTR, hook rate, watch time, frequency, CPL trends).
Experience building
structured creative testing frameworks
rather than relying on ad-hoc idea generation.
Ability to clearly diagnose
why ads succeed or fail using data insights
.
Experience writing
detailed creative briefs for video production teams
.
Strong understanding of
consumer psychology and emotional buying drivers
.
Ability to identify
patterns across multiple accounts and industries
, not just single campaigns.
Clear, structured communication skills with the ability to translate insights into actionable creative direction.
Strong ownership mentality with accountability for performance outcomes.
Nice to Have
Experience working in a
performance-focused paid social agency environment
.
Background in
high-ticket or local service industries
(home improvement, solar, roofing, property, kitchens, etc.).
Experience analysing creative metrics like
Hook Rate, Thumb Stop Rate, Watch Time, CTR, and Frequency
.
Experience managing
high-volume creative testing environments
with frequent launches.
Understanding of
market sophistication and awareness stages
.
Experience identifying and developing
unique mechanisms or differentiated offers
.
Familiarity with
first-party data environments and creative-led targeting strategies
.
Experience documenting insights and building internal knowledge systems using tools like
Notion
.
Comfort using
AI tools such as ChatGPT or Claude
to accelerate research and ideation.
Benefits
Fully Remote: Work from anywhere with international teams
Peer Community: Connect with high-performing professionals in our network
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: European Union
Workplace: Remote
About the Role
Playson is a leading online gaming supplier with worldwide recognition which was founded in 2012. We offer complete gaming solutions based on the latest technologies and detailed market analysis for the leading iGaming operators.
We’re looking for a Marketing Graphic Designer to help shape the way we promote our games and present our brand to partners. This role sits within the Marketing Squad and has direct impact on how Playson is seen across channels.
To further strengthen our creative function, we are looking for a Senior Marketing Designer - a mature and structured professional who will drive the development of our marketing visuals and support the growth of the Graphic Artist stream.
Key Responsibilities
- Creating sets of promo materials for partners when launching new iGaming products and/or Network Promotions (game icons packs, resizes, promo banners, etc.)
- Developing custom promo materials for key partners
- Creating key visuals for communication campaigns, as well as artwork for various communication channels (web, social media, print ads, email campaigns, etc.)
- Creating designs for branded merchandise
- Creating designs for point of sale materials
- Creating mockups and designs for exhibitions and company’s own events (branded decor, photo zones, etc.)
- Designing landing pages for brand’s promo activities
- Creating sales decks for company products
- Producing small video clips or animated graphics for social media, as well as standard motion elements for video contractors
- Further development of company brand book
Requirements
- 5+ years of professional experience as a Marketing, UI/UX Designer
- Experience working with brand identity (logos, branding, templates), banner ads, animated banners, landing pages, and storyboards for video production
- Knowledge and understanding of design trends, meaningful and smart design concepts, critical thinking ("why am I doing this?"), research skills, as well as expertise in composition, grids, typography, color theory, and their impact on design, including working with AI
- Excellent proficiency in design tools such as Adobe Illustrator, Photoshop, Figma, After Effects, Blender, XD
- Knowledge of usability principles and techniques
- Experience working with contractors and production companies in BTL by delivering design materials for print & production
- Understanding of principles of brand display and consistency in BTL design.
- Experience working with AI tools for creating marketing materials (videos, animations, image generation, landing page generation).
- Experience working with WebFlow to develop landing pages and other web-oriented content
Nice to have
- Experience in the gaming industry, though we are also open to professionals from other fields who can bring a fresh perspective to our industry
- Experience working with AI tools for prototyping and modelling
- Motion design experience
What we Offer
- Benefit from a transparent and systematic quarterly bonus system.
- We offer a flexible work schedule to accommodate your needs.
- Choose to work remotely, providing greater flexibility and comfort.
- Enjoy unlimited paid vacation leave, including bank holidays.
- Take unlimited paid sick leave whenever necessary.
- Get reimbursement for professional development courses and training. We provide access to the latest tools and training for continuous growth.
Recruitment Process
- Portfolio review. Applications without a portfolio will not be considered for further steps.
- HR Interview
- Take home task
- Technical interview
- Final interview
By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.
Location: South Africa; Mexico; Colombia; Panama; Brazil; Argentina
About Huzzle
At Huzzle, we connect exceptional B2B professionals 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.
About the Company
This opportunity is with a fast-growing
AI-powered Go-To-Market (GTM) systems company
focused on helping modern revenue teams scale efficiently.
The company builds
automation-driven revenue engines
that turn market signals into qualified pipeline. Their infrastructure combines AI agents, workflow automation, outbound platforms, and CRM architecture to help growth-stage companies ($1M–$100M+ ARR) build systematic competitive advantages without scaling headcount.
Job Type:
Full-time
Location:
Remote
Engagement:
Independent Contract
Key Responsibilities
CRM Architecture & Revenue Systems
Own the company’s
HubSpot CRM architecture
end-to-end including pipelines, lifecycle stages, workflows, custom properties, and reporting.
Design scalable
revenue data models
that align CRM activity with pipeline and revenue outcomes.
Define and enforce
data standards across the GTM stack
including HubSpot, Airtable, outbound tooling, and AI systems.
Conduct ongoing CRM audits and maintain
data integrity, deduplication, and attribution accuracy
.
Revenue Analytics & Reporting
Build reporting frameworks that track
pipeline health, revenue velocity, conversion rates, and retention metrics
.
Develop dashboards that help leadership understand
what’s happening in the business in real time
.
Deliver strategic revenue insights and performance reports to executive leadership.
Build
client-facing analytics dashboards
used for operational reviews and strategic decision-making.
RevOps Consulting & Client Delivery
Conduct
RevOps assessments and CRM audits
for client organizations.
Design and implement
HubSpot and CRM infrastructure
including automation, integrations, and reporting.
Operate as a
senior RevOps advisor
in client engagements, providing guidance on pipeline architecture, analytics, and systems strategy.
Develop playbooks and frameworks that enable RevOps delivery to scale.
Systems Integration & Automation
Build and manage
automation workflows using n8n or equivalent integration tools
.
Connect CRM systems with outbound tools, enrichment platforms, and operational databases.
Implement integrations between CRM systems and billing platforms such as Stripe.
Use AI tools to automate reporting, data analysis, documentation, and operational workflows.
RevOps Practice Development
Help build and scale the
RevOps practice within the organization
.
Contribute to hiring and mentoring junior RevOps analysts and operations specialists.
Develop internal frameworks and best practices for RevOps service delivery.
Requirements
Core Qualifications
Deep
HubSpot CRM architecture expertise
with experience building systems from the ground up.
Proven experience designing
revenue pipelines, lifecycle models, and CRM data structures
.
Hands-on experience building integrations using
n8n, Zapier, Make, APIs, or webhook-based workflows
.
Strong
revenue analytics skills
, including pipeline coverage modeling, CAC analysis, and cohort retention analysis.
Experience implementing
automation-driven GTM systems
across CRM, outbound tools, and data platforms.
Working knowledge of
Salesforce CRM
, including data models, reporting, and migration planning.
Ability to translate complex operational data into
clear strategic recommendations
.
Preferred Experience
Experience delivering
RevOps consulting or agency-style CRM implementations
.
Hands-on production experience with
n8n automation workflows
.
Experience integrating
Stripe or billing platforms with CRM systems
.
Familiarity with
AI tools used in operations workflows
(e.g., AI-assisted reporting, workflow automation, documentation generation).
Experience hiring or mentoring
RevOps analysts or CRM administrators
.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos.
This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration.
This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You'll Do
Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety.
Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl.
Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs.
Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically.
Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities.
Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences.
What We're Looking For
Deep experience building AI-enabled product systems, not just running experiments.
Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries.
Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods.
Ability to work fluently across backend engineering, product constraints, and user workflow design.
Clear judgment about where agent systems should be flexible and where they should be constrained.
Comfort working in ambiguous environments where patterns are still being invented.
Why This Role Matters
The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team.
#LI-HYBRID #LI-DJ1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$251,835
—
$314,794 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.
This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English.
Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday.
Responsibilities:
Become an expert in all Anthropic products
Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses
Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries.
Prioritize critically and comfortably adapt to an ever-evolving product landscape
Operate in ambiguity, making informed decisions even in never-before-seen situations
Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products
You may be a good fit if you:
Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team.
Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
Have crisp but kind written communication skills and a deep care for the details
Enjoy helping others learn about new features and complex concepts
Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC.
Are proficient at working in a technical environment and are interested in Anthropic’s products
Possess a deep sense of ownership, and are excited to help us build our team!
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dammam, Saudi Arabia
Eram Talent is seeking a detail-oriented HSE Analyst to join our dedicated team in Saudi Arabia. As an esteemed Talent Acquisition Consultancy specializing in the Oil & Energy sector, we are committed to connecting talented professionals with leading companies in the industry.
The HSE Analyst will be responsible for analyzing and interpreting health, safety, and environmental data, preparing reports, and supporting the implementation of HSE programs and initiatives. This role requires a strong analytical mindset, attention to detail, and a deep understanding of HSE regulations and standards.
This position is based in Dammam, Saudi Arabia.
Requirements
Bachelor's degree in Occupational Health and Safety, Environmental Science, or a related field.
Minimum of 5 years of experience in HSE analysis or a related role within the Oil & Energy industry.
Thorough knowledge of HSE regulations and compliance requirements.
Strong analytical and problem-solving skills, with the ability to interpret complex data.
Familiarity with HSE management systems and data analysis software.
Proficient in Microsoft Office Suite, particularly Excel.
Excellent communication and interpersonal skills for effective collaboration with various departments.
Certifications in HSE (e.g., NEBOSH, IOSH) are preferred.
Ability to work independently and manage multiple projects simultaneously.
Willingness to travel to different sites as needed.
Collects, analyzes, and interprets data to improve workplace safety, environmental performance, and regulatory compliance.
Conducting risk assessments, investigating incidents, preparing compliance reports, developing and delivering training, and collaborating with teams to implement safety initiatives and reduce hazards.
This role requires a strong understanding of HSE regulations and data analysis to provide insights that support management decisions and promote a safety-first culture.
EHS analyst provides support in planning, implementation and monitoring of environmental, health, and safety programs and policies to ensure compliance
Track Environmental, Health and Safety metrics including Ǫuarterly KPIs and PPE Acknowledgement submissions
Conduct formal and systematic reviews of campus operations and activities to ensure compliance with regulations.
Responsible for the accuracy and auditing of all Safety related statistics
Track safety, health and Environmental audit documents
Work with affected departments to coordinate, implement and maintain employee /trainee injury prevention strategies and program(s)
Provide hazard analysis, program customization, training and EHS support to activities within the organization, creative services and scripted television production activities
Support the maintenance of EHS database of accidents and incidents
Supports site in achieving EHS targets C objectives
Track all the HSE related contracts’ submissions
Organize and track HSE Campaigns
HSE Records and Files control and management
Skills:
• HSE Analyst Ǫualifications:
• Relevant degrees such as bachelor’s degree in engineering, Industrial, Safety, Health, Environmental Science
• Also, certificates in HSE Fields
• Desired experience for HSE analysts includes:
• 3-5 years in similar field
• Skills for HSE Analyst
• Microsoft Office
• Fluent in English Language (Speaking, Writing, Reading)
• OSHA / NEBOSH
• local safety regulations
• EHS policies, standards and compliance
• Environmental
• Health
• Fire Systems
Location: European Union
Workplace: Remote
About the Role
Playson is a leading online gaming supplier with worldwide recognition which was founded in 2012. We offer complete gaming solutions based on the latest technologies and detailed market analysis for the leading iGaming operators.
Operating with growth and scalability, we are excited to invite experienced Mathematicians to apply for the opening in the Game development squad. The chosen candidate will be collaborating with Product Owners and Mathematicians, and have an opportunity to contribute to the company’s overall goals.
Key Responsibilities
- Develop engaging game mathematics and mechanics in collaboration with Product Owners and cross-functional teams
- Fine-tune game mathematics and mechanics into the best possible product
- Perform simulations of game math to understand how it compares with the desired outcome and with other games in the portfolio
- Provide competitive game math analysis to reveal valuable insights
- Rapid prototyping of game mechanics to prove the concept
- Be involved in the game creation process from start to finish
- Collaborate with development teams, provide game math specifications
- Be a discussion sparring partner inside our team to help build better games
- Analyse risks and determine the probability of wins for player investigations
- Share knowledge, establish best practices, and challenge the status quo
- Provide analytical support, including Big Win validations, player session analysis, and RTP deviation monitoring to ensure game integrity and performance
Requirements
- Proven track record (3+ years) of successful work as a game mathematician in online gambling
- Scripting skills, any programming language (Typescript, Javascript preferred)
- Good understanding of main programming paradigms
- Talent for solving abstract and highly complex math problems
- High attention to detail: ability to spot even small mistakes in your math models and troubleshoot them
- Interest in slot games both from a developer and player point of view
- Ability to quickly prototype rough ideas
- Basic understanding of HTTP client-server requests
- Data-driven and analytical mindset in decision-making
- Motivated by challenges and stretch goals
- Good level of spoken and written English
Nice to Have
- Strong mathematical intuition, creativity, and curiosity
- Ability to look at games from the players’ point of view
- Practical experience with workflow management tools (Jira), collaboration software (Confluence)
What we Offer
- Competitive Salary: We offer a competitive salary in EUR, subject to annual performance reviews
- Quarterly Bonuses: Benefit from a transparent and systematic quarterly bonus system
- Flexible Schedule: We offer a flexible work schedule to accommodate your needs
- Remote Work Option: Choose to work remotely, providing greater flexibility and comfort
- Medical Insurance: Receive comprehensive medical insurance for both you and a significant other
- Financial Support for Life Events: We provide financial support during special life events
- Unlimited Paid Vacation: Enjoy unlimited paid vacation leave
- Unlimited Paid Sick Leave: Take unlimited paid sick leave whenever necessary
- Professional Development: Get reimbursement for professional development courses and training
Recruitment Process
- HR Interview
- Take home assignment
- Technical Interview
- Final Interview
By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.
Location: Global (Remote)
Workplace: Remote
COMMUNITY GROWTH MANAGER
Team: Community
Location: Flexible / Remote
Reporting to: VP of Community
ROLE OVERVIEW
Rwazi’s Community function represents the human layer of the company — contributors, mappers, and platform participants across global markets.
The Community Growth Manager owns measurable network expansion.
This role scales user acquisition, accelerates activation, and increases network density across priority geographies.
Community growth is treated as infrastructure — not marketing.
The Community Growth Manager builds a predictable, compounding human network.
CORE MANDATE
The Community Growth Manager is accountable for:
- Scaling contributor and user acquisition
- Increasing activation velocity (sign-up → first participation)
- Expanding network density in key markets
- Improving referral-driven growth loops
- Strengthening repeat participation
This role owns the growth mechanics of the human network.
KEY RESPONSIBILITIES
USER ACQUISITION & EXPANSION
- Design and execute multi-channel contributor acquisition strategies
- Identify high-density geographic clusters
- Optimize cost-per-active-user
- Test and scale growth channels systematically
ACTIVATION VELOCITY
- Reduce time-to-first-submission
- Optimize onboarding flows
- Improve conversion from interest → active participation
- Identify and remove friction in early journey stages
NETWORK DENSITY & COVERAGE
- Increase active contributors per city
- Balance growth across underserved regions
- Maintain supply resilience across markets
REFERRAL & ORGANIC GROWTH SYSTEMS
- Design referral programs tied to measurable expansion
- Track referral conversion rates
- Strengthen peer-driven network growth
GROWTH ANALYTICS & OPTIMIZATION
- Track acquisition, activation, and retention metrics
- Run experiments to improve conversion rates
- Provide structured reporting to VP of Community
ROLE IMPACT
Strong performance results in:
- Faster log fulfillment due to stronger network density
- Lower acquisition cost per active user
- Higher activation conversion rates
- Stronger organic growth
- Increased supply resilience
This role directly influences execution speed and ecosystem strength.
WHAT THIS ROLE IS NOT
- Not community moderation
- Not delivery operations
- Not reactive messaging
- Not event management
This role requires structured growth discipline.
QUALIFICATIONS AND PROFILE
We are looking for individuals who demonstrate:
- 4–8+ years in growth, marketplace scaling, or community expansion
- Experience building distributed user networks
- Strong analytical ability with funnel metrics
- Comfort running structured experiments
- Bias toward action and iteration
- Experience operating in multi-geography environments
Candidates may come from gig platforms, marketplace startups, creator ecosystems, or growth-driven SaaS environments.
CULTURAL FIT
We value operators who:
- Think in funnels and density, not vanity metrics
- Care about measurable outcomes
- Move quickly and iterate
- Build systems that compound
- Operate with ownership and accountability
HOW CANDIDATES ARE EVALUATED
Candidates are evaluated based on:
- Growth metrics achieved in prior roles
- Activation and retention improvements driven
- Ability to design scalable acquisition systems
- Analytical rigor behind growth decisions
- Structured experimentation discipline
SUMMARY
The Community Growth Manager scales Rwazi’s human network by driving acquisition, activation, and expansion across markets.
This role ensures the Community layer grows predictably, efficiently, and sustainably as the company scales.
Location: Singapore
Workplace: Remote
About the Team
The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.
What will you do?
- Benchmark system performance, database performance analysis, capacity sizing and optimization.
- Ability to troubleshoot and debug application and server errors and logs and triage accordingly
- Recommend configuration tuning/optimizations for performance bottlenecks
- Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
- Develop, deploy and manage tools to systematically run chaos experiments and measure impact
- Enjoy working on, and gaining a deep understanding of, large scale distributed systems
- Study the problems in the software resilience, operational, and delivery spaces
- Extend our entire backend to enable Chaos Engineering techniques in the system
- Observe running systems, and determine/prioritize innovative ways to disrupt them
About you:
- You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or similar.
- Experience with concurrency, multithreading, and the deployment of distributed system architectures
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
- You have excellent communication skills and the ability to work well within a team and across engineering teams.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Singapore
Workplace: Remote
About the Team
The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.
What will you do?
- Benchmark system performance, database performance analysis, capacity sizing and optimization.
- Ability to troubleshoot and debug application and server errors and logs and triage accordingly
- Recommend configuration tuning/optimizations for performance bottlenecks
- Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
- Develop, deploy and manage tools to systematically run chaos experiments and measure impact
- Enjoy working on, and gaining a deep understanding of, large scale distributed systems
- Study the problems in the software resilience, operational, and delivery spaces
- Extend our entire backend to enable Chaos Engineering techniques in the system
- Observe running systems, and determine/prioritize innovative ways to disrupt them
About you:
- You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or similar.
- Experience with concurrency, multithreading, and the deployment of distributed system architectures
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
- You have excellent communication skills and the ability to work well within a team and across engineering teams.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Singapore
Workplace: Remote
About the Team
The Cloud Engineering team is responsible for building the cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and create tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less ClickHouse Cloud.
What will you do?
- Benchmark system performance, database performance analysis, capacity sizing and optimization.
- Troubleshoot and debug applications, server errors, logs, and triage accordingly.
- Recommend configuration tuning/optimizations for performance bottlenecks.
- Work closely and partner with ClickHouse's core development team, cloud team, and security team to improve the performance of ClickHouse Cloud.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
- Develop, deploy and manage tools to systematically run chaos experiments and measure impact
- Enjoy working on, and gaining a deep understanding of, large scale distributed systems
- Study the problems in the software resilience, operational, and delivery spaces
- Extend our entire backend to enable Chaos Engineering techniques in the system
- Observe running systems, and determine/prioritize innovative ways to disrupt them
About you:
- You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or similar.
- Experience with concurrency, multithreading, and the deployment of distributed system architectures
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
- You have excellent communication skills and the ability to work well within a team and across engineering teams.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Singapore
Workplace: Remote
About the Team
The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.
What will you do?
- Benchmark system performance, database performance analysis, capacity sizing and optimization.
- Ability to troubleshoot and debug application and server errors and logs and triage accordingly
- Recommend configuration tuning/optimizations for performance bottlenecks
- Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
- Develop, deploy and manage tools to systematically run chaos experiments and measure impact
- Enjoy working on, and gaining a deep understanding of, large scale distributed systems
- Study the problems in the software resilience, operational, and delivery spaces
- Extend our entire backend to enable Chaos Engineering techniques in the system
- Observe running systems, and determine/prioritize innovative ways to disrupt them
About you:
- You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or similar.
- Experience with concurrency, multithreading, and the deployment of distributed system architectures
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
- You have excellent communication skills and the ability to work well within a team and across engineering teams.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW are looking for an experienced
Quant Researcher
to join our global commodities trading team to aid in alpha generation, research, development, and maintenance of analytics infrastructure.
Responsibilities:
Developing systematic trading strategies and alpha generating signals across commodity markets
Enhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading
Analyze large, diverse datasets to identify trends as well as building and maintaining models to support trading decisions. Including the use of AI and LLM’s
Extract and organize data from a number of source options, performing quantitative analysis in support of trading
Assist in the development of analytical tools
Translate business needs into data science projects
Collaborate with stakeholders at each stage of project
Communicate projects and results to audiences with different backgrounds
Create and maintain post-trade diagnostics tools across various strategies
Qualifications:
A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
Experience using AI and LLM’s
Passion and interest for a quant researcher role solving real-world business problems
Minimum of two years' experience in alpha generating role
Experience working with large datasets, data cleaning, preprocessing, and feature engineering
Experience building, validating, deploying, monitoring, and updating predictive models
Excellent programming and scripting skills
Experience working independently and delivering results
Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
Strong collaborative intent, strong outcome driven focus
Positive, team focused attitude
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#JW1
London
New York
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