Location: London
Workplace: Hybrid
Why Technology at loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you'll have:
As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed.
Your responsibilities include:
- Own the team's functional KPIs, defining the measurable outcomes that show our impact.
- Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same.
- Champion AI adoption, applying it to both engineering processes and solutions.
- Coach our engineers, guiding their growth.
- Build tools to make the Boost team more effective and improve platform governance.
We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams.
For a better understanding of our work, refer to some of our blog posts:
- How loveholidays is solving the technical excellence paradox https://tech.loveholidays.com/how-loveholidays-is-solving-the-technical-excellence-paradox-933987956758
- Your AI Hates Your Prompts (And So Do You) https://tech.loveholidays.com/your-ai-hates-your-prompts-and-so-do-you-c05f59337b13
- Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc
- Does website speed contribute to customers booking holidays online? https://tech.loveholidays.com/does-website-speed-contribute-to-customers-booking-holidays-online-f17bd696bc30
- Creating a Zero Surprises Culture https://tech.loveholidays.com/from-firefighting-to-foresight-a-new-culture-of-software-reliability-affcf565f9b3
Or our open source contributions:
- github.com/loveholidays/ripley http://github.com/loveholidays/ripley
- github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit
- github.com/loveholidays/po-test http://github.com/loveholidays/po-test
- github.com/loveholidays/mcp-html-share http://github.com/loveholidays/mcp-html-share
As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them.
Your day to day:
You will:
- Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9.
- Drive initiatives to apply AI to build better solutions and improve our engineering process.
- Build tooling and processes to accelerate and enable our platform development.
- Design and oversee impactful systems that run reliably at cloud scale.
- Write and speak about our tech work to raise our engineering profile.
Your skillset:
- Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software.
- Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices.
- Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration.
- Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes.
- A track record of building and optimising scalable, high-performance websites.
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
The interview journey:
1. 1st stage interview with a member of our Talent Team
2. Introduction to loveholidays Engineering with our VP of Engineering (60 mins)
3. Presentation/Case Study with our VP and CTO (60 mins)
4. Technical interview with 2 of our Principal or Heads of Engineering (60 mins)
Location: United Kingdom; Belgium; France; Philippines; Ireland; Georgia; Spain; Portugal; United States
Workplace: Remote
BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS
MANEUVER MARKETING
Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products.
In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs.
These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore.
This is just the beginning of our journey, and you could be part of the next stage of our growth!
YOUR NEXT ROLE
As a Creative Strategist, you’ll be at the forefront of driving high-converting, performance-driven assets for our DTC supplements brand. Serving a primarily female demographic aged 35-65, you’ll leverage creative insights, competitive research, and user-centric design to shape our brand's digital presence.
Working across multiple platforms & channels, you’ll develop compelling static ads, short-form videos, landing pages, and more. With a clear focus on customer acquisition, you'll play a crucial role in our brand’s strategy and aesthetic, ensuring our content resonates and drives revenue.
WHAT YOU’LL DO
BUILD, IMPROVE & MAINTAIN RESEARCH INFRASTRUCTURE
- Creating and maintaining a repeatable research system across ads, customer reviews, VOC, competitors, forums, market trends, and customer pain points.
- Organizing insights into queryable, structured systems that the team can use to generate creative ideas quickly.
- Tagging and categorizing research by angle, pain point, persona, mechanism, product benefit, objection, funnel stage, and creative format.
- Turning research inputs into creative opportunities, briefs, hooks, and testable hypotheses.
- Improving the research infrastructure over time so it compounds instead of becoming a static swipe file.
- Connecting research outputs directly to creative performance and winner generation.
Establish, Improve & Maintain the Creative Testing Process
- Building structured creative testing frameworks across hooks, angles, formats, personas, funnel stages, and SKUs.
- Designing test matrices that allow the team to isolate variables and understand what is driving performance.
- Creating a high-velocity testing cadence with consistent launches and systematic iteration.
- Using performance data to identify winners, losers, fatigue, scaling potential, and next-best iterations.
- Connecting creative tests to business metrics such as CAC, MER, LTV, spend level, and scaling constraints.
- Scaling winning concepts across new formats, funnels, channels, geographies, and products.
- Maintaining clear documentation of what has been tested, what has worked, and what should be tested next.
CREATE, IMPROVE & MAINTAIN BRIEFS ACROSS SKUS TO ACHIEVE RUN RATE AND EFFICIENCY TARGETS
- Creating structured creative briefs that clearly define the hook, angle, persona, pain point, product mechanism, visual direction, format, objective, and funnel stage.
- Ensuring every brief is grounded in customer insight, research, performance data, and business priorities.
- Building reusable briefing systems that allow winning concepts to be adapted across SKUs and formats.
- Translating research and test learnings into repeatable creative frameworks.
- Mapping creatives to ToFu, MoFu, and BoFu stages with clear strategic intent.
- Creating briefs that help designers, copywriters, editors, and media buyers execute faster with fewer revisions.
- Improving briefing quality over time based on performance outcomes.
DESIGN, IMPROVE & MAINTAIN CREATIVE PRODUCTION WORKFLOWS
- Designing clear workflows from research → brief → production → QA → launch → analysis → iteration.
- Creating modular production systems that allow multiple formats, SKUs, and concepts to move in parallel.
- Defining ownership, handoffs, SLAs, and quality standards across creative production.
- Identifying and removing bottlenecks before they slow down output.
- Improving production speed without sacrificing creative quality or strategic clarity.
- Working with designers, copywriters, editors, media buyers, and operators to maintain a predictable launch cadence.
- Continuously improving and automating the production system where possible.
Leverage Pod and Cross-Functional Teams to Solve Performance and Production Bottlenecks
- Working closely with media buyers, creative teams, growth, operations, product, and other stakeholders to diagnose performance and production issues.
- Identifying bottlenecks early, before they affect scaling.
- Coordinating fast resolution across teams when creative output, testing velocity, or performance is blocked.
- Translating performance issues into clear creative or operational action steps.
- Ensuring learnings are shared across teams and channels.
- Helping scale creative output across multiple acquisition channels (e.g. Meta, Google, Tiktok, and other relevant channels.
HOW YOU’LL SUCCEED
- Consistently achieve high click-through rates (CTR) and engagement ratios, with content that encourages shares and positive interactions.
- Improve key conversion metrics, including conversion rate (CVR), average order value (AOV), and customer lifetime value (LTV). Through thoughtful A/B testing and design enhancements, you’ll support sustained, efficient growth reflected in a favorable blended spend-to-ROAS ratio.
- Deliver ad concepts that meet or exceed campaign standards, maintaining a high ad grade success rate across tests.
WHAT YOU BRING
- 5+ years in creative DTC advertising, A/B testing, with an emphasis on design over data.
- Strong portfolio showcasing design and video editing capabilities that enhance user experience and conversions.
- Expertise in creative research, visual storytelling, and a strategic approach to design that integrates with marketing goals.
- Solid grasp of digital platforms and performance metrics, with a high standard for design aesthetics.
- A passion for psychology, design, video, and content that translates into engaging, customer-centric creatives.
- Actively engaged in industry trends, from DTC Twitter spaces to creative testing discussions, with a proactive approach to staying updated.
ABOUT YOUR APPLICATION
- Please submit your application in English. It's our company language so you'll be speaking lots of it if you join.
- We treat all candidates equally - if you're interested please apply through our careers portal.
We are SmartyMe - one of the leading microlearning apps in the world, used daily by millions of users across Tier-1 markets.
Our mission is to make learning a daily habit for everyone. We scale through performance marketing, product excellence, and systematic growth.
User Acquisition is a core growth engine for us.
While we already operate at scale across paid channels, Google Ads is a fast-growing and strategically important direction that we are actively expanding as a standalone, owned growth channel.
We have strong internal UA expertise and infrastructure
, and we’re ready to go deeper. This role is an opportunity to take full ownership and help build scalable acquisition systems on top of an already proven performance foundation.
We work with a performance-based compensation model that allows us to pay at the top of the market for real results and impact.
What You’ll Do:
Own and scale channels end-to-end, managing campaigns hands-on with a strong focus on ROI
Launch, structure, and optimize campaigns across Search, GDN, Demand Gen, and Performance Max
Build and evolve campaign architecture, processes, and channel structure for scalable growth
Design and execute testing frameworks, driving continuous performance improvements
Develop and implement automation, rules, and optimization systems on top of the channel
Collaborate with analytics and product teams to improve funnel performance and conversion efficiency
Identify and scale growth opportunities across keywords, creatives, audiences, and funnels
Increase spend in a controlled way while maintaining efficiency targets
Maintain clear documentation of campaigns, testing, and processes
What We’re Looking For:
3+ year in User Acquisition / Performance Marketing
Strong hands-on experience with Google and Meta
Experience with Search, GDN, Demand Gen (Discovery), and Performance Max
Proven experience scaling paid acquisition budgets
Experience with subscription or B2C digital products
Strong analytical mindset and experimentation approach
Solid understanding of funnels (web2web, web2app, app - any mix)
Ability to independently own and develop a growth channel
Nice to have:
Experience with automation, rules, or scripts
Experience building campaign structure and systems from scratch
Advanced Excel / Google Sheets skills
Experience working closely with product and analytics teams
Previous experience in fast-scaling environments
Why You'll Love Working With Us:
Innovative Environment: We're all about trying new things and pushing the envelope in EdTech.
Freedom: Flexible role based either remotely or hybrid from one of our offices in Cyprus(Limassol), Poland (Warsaw).
Health: company-provided medical expense compensation.
AI solutions: АІ subscription and other tools.
Balance: Flexible paid time off, you get 21 days of annual leave + 10 days of public holidays.
Collaborative Culture: Work alongside passionate professionals who are as driven as you are.
Location: Yerevan
Workplace: OnSite
About the role
Teza is a systematic trading firm building quantitative strategies across multiple asset classes. We are looking for a DevOps Engineer to own and evolve our infrastructure platform — the systems that our quants, developers, and traders rely on every day.
Our infrastructure team is at an inflection point. We have a working platform that supports active trading and research, and we are now investing in making it more robust, observable, and developer-friendly. The successful candidate will have significant influence over the direction of our infrastructure — shaping tooling choices, establishing standards, and building systems that scale with the firm.
Location
Yerevan, Armenia, Austin, Texas or London, UK
What We're Building Toward
As a team, we are working toward the following goals. You will play a central role in defining the approach and driving execution:
- Full-stack observability** across all internal services — unified metrics, centralized logging, distributed tracing, and actionable alerting — so that engineers and traders have clear, real-time visibility into system health and performance.
- Reliable, self-service compute orchestration** spanning Slurm (HPC/ML workloads), Hadoop (batch data processing), and Airflow (workflow scheduling) — enabling researchers and data engineers to run workloads at scale without infrastructure bottlenecks.
- Mature secrets management** for trading credentials, API keys, certificates, and service-to-service authentication — with rotation policies, auditing, and tight integration into deployment workflows.
- Unified release pipelines** that bring consistency to how diverse applications — trading strategies, data pipelines, and real-time trading systems — move from development to production, each with their own build, test, and deployment needs.
- A well-maintained platform foundation** where shared services — identity management, GitHub Actions runners, VPN, observability tooling — stay current and reliable without disrupting active trading.
- Strong security posture** across production and research environments — network segmentation, access controls, vulnerability management, and compliance — that evolves alongside the platform rather than being bolted on after the fact.
Requirements
- Experience building and operating internal platform services for development teams (CI/CD, compute, monitoring, developer tooling) — not just consuming them.
- Strong proficiency in Linux systems administration and container orchestration (Docker, Kubernetes, or similar).
- Deep understanding of the software development lifecycle and how infrastructure supports engineering teams — from local development through CI to production deployment.
- Familiarity with ML and data-intensive workflow requirements: GPU scheduling, large dataset access patterns, experiment tracking, and reproducible compute environments.
- Proficiency with at least one major cloud provider (AWS, GCP, or Azure) including networking, IAM, and managed services.
- Experience designing and operating hybrid infrastructure — cloud, on-premises, and colocation environments — with an understanding of the tradeoffs between them.
- Hands-on programming ability in Python or another scripting language, sufficient to build tooling, automation, and infrastructure-as-code — not just run playbooks.
- Solid understanding of core network protocols and services: DNS, LDAP, SMTP, TLS, HTTP, and SSH.
- Practical knowledge of infrastructure security: firewall management, access control models (zero-trust, bastion hosts), vulnerability scanning, patch management, and audit logging.
Nice to Have
- Experience in a trading firm or other environment with strict uptime and latency requirements.
- Familiarity with infrastructure-as-code tools (Terraform, Pulumi, Ansible).
- Experience with log aggregation and SIEM systems.
- Understanding of compliance frameworks relevant to financial services.
Benefits
- Health, visual and dental insurance
- Flexible sick time policy
Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan
Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale.
The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support).
The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability.
Location:
This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations.
What your day will look like
Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels
Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures
Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance
Develop and maintain CI/CD pipelines for continuous kernel quality validation
Conduct performance benchmarking and regression detection across kernel releases
Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them
Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads
Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers
Collaborate regularly and proactively with a globally distributed team
Contribute to upstream test suites and testing frameworks
Document test methodologies, results, and coverage gaps
What we are looking for in you
Significant programming experience in Python
Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar
Experience designing and executing system-level tests: functional, stress, performance, or regression testing
Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar)
Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions
Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems
Experience with Linux systems administration and automation
Solid background with git
Well-organized, self-starting and able to deliver to fixed schedules
Professional written and spoken English with excellent communication skills
Ability to travel twice a year, for company events up to two weeks each
Additional skills that you might also bring
Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses)
Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage)
Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF)
Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow
Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing
Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation)
Experience with Ubuntu/Debian packaging or Snap
Knowledge of virtualization technologies (KVM, QEMU) and container runtimes
Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack)
Prior involvement with open source testing communities or projects
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-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
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: WorldWide
We are looking for a
Junior / Junior+ Data Analyst
to join our
Core Banking Systems team.
Our team makes sure that every transaction processed by our banking products is correctly reflected in the accounting system. We work across two markets — Mexico and Colombia — and sit at the intersection of product, technology, data, and finance. This is a great opportunity for someone at the beginning of their career who wants to work with real banking products, production data, and real money from day one.
You’ll start by investigating specific reconciliation cases and gradually move towards owning more complex and systematic problems — with plenty of room to grow along the way. You’ll get exposure to a part of fintech that is usually hidden behind the scenes —
the systems that make sure the numbers actually add up.
Challenges that await you:
Reconcile data
between the product engine and accounting systems, identify discrepancies, and investigate their root causes
Build and maintain dashboards and reports
using DWH data
Improve and standardise reconciliation processes
, making them more reliable and scalable
Investigate
non-standard product and financial cases
together with System Analysts and other teams
Work with production data and gain a deep understanding of how banking transactions move through our systems
Turn complex financial and technical problems into clear, structured solutions
What makes you a great fit:
A mathematical or technical degree from a top university such as MSU, MIPT, HSE, MSTU, MEPhI, or NSE
Strong knowledge of mathematical statistics, probability theory, and systematic thinking
Strong SQL skills
Attention to detail and a willingness to dive deep into complex cases
Ability to work systematically and investigate problems until you understand their root cause
English sufficient for reading technical documentation
Genuine interest in
fintech, banking, and financial products
Comfortable working with large datasets and asking the right questions
Would be a plus:
Experience with
Airflow &
Streamlit
Experience with
columnar databases
Experience building or working with
AI agents for coding and automation
Our ways of working:
Innovative Spirit:
a team from the best technical universities
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances
Our benefits:
Relocation support
to
Georgia
with assistance for the employee and their family
Flexible work
from one of our offices
Healthcare
Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursements
Vacation policy:
Annual leave and paid sick leave as per applicable policies
International rapidly growing product IT company
StellarTech
is looking for the
Head of BI & Analytics
. You will lead the establishment and evolution of our BI & Analytics unit, serving as the cornerstone for data-driven decision-making across the company. You will be responsible for managing and overseeing our Data Platform, providing comprehensive analytics, reports, and insights to support various internal functions including Marketing, Monetization, Product, Payments and Customer Support, etc.
What You’ll Do:
- Create Analytics Framework for Mobile Apps: Design and implement a robust analytics framework tailored to mobile and web applications, covering complete business cycle with marketing, monetisation, payments and product data. Esteblish key business metrics, organise metric tree and reporting structure for financial and operational controls
- Data Management and Excellence: Act as Business owner of Data Platform, ensuring it support's real-time data processing and analytics needs for business units. Oversee the integration of required data sources and data integrity & reliability across the platform. Define and manage Data Model inline with business needs, ensure Data Quality controls are in place
- Operational Reporting and Visualization Tooling: Develop and maintain operational reporting systems and dashboards to monitor day-to-day operations, including key metrics for app usage, marketing and financial performance. Select and implement cutting-edge tools for data visualization to ensure accessible, real-time insights for decision-makers.
- Strategic Insights and Decision Support: Provide strategic insights to executive leadership and internal stakeholders by analyzing data trends and market dynamics. Drive data-driven decision-making processes across the company, particularly in areas affecting product development, marketing strategies, and customer experience. Design business metrics, create plans and forecasts.
- Cross-functional Collaboration for Data-Driven Culture: Foster a collaborative environment with Marketing, Monetization, Product, Payments, Finance and Customer Support teams to identify and fulfill their analytics needs. Champion the use of data and insights in all strategic discussions and planning sessions to embed a data-driven culture throughout the organization.
- Data Governance, Privacy, and Compliance: Ensure the analytics practices adhere to data governance standards and comply with relevant privacy laws and regulations. Implement policies and procedures for data handling and sharing to protect user data and company information.
- Leadership and Team Development: Assemble and steer the analytics team in matrix structure, setting objectives and key performance indicators in line with the company’s vision.
- AI Initiatives Development: Develop and implement an AI/ML strategy for analytics to enhance decision-making efficiency across various business units.
- Cross-Product Analytics: Create a systematic approach for comparative analysis and benchmark between company products and competitive products to identify best practices and potential synergies.
What We’re Looking For:
- At least 3-5 years in a similar analytics leadership role in the mobile and web app industries with mln of users
- Strong expertise in analytics tools (Tableau, SuperSet, etc.) and platforms (e.g., Google Analytics), data warehousing solutions, and SQL/NoSQL databases. Familiarity with machine learning techniques.
- Practical experience of creating and managing data models for mobile and web application analytics. Understanding of business related metrics (subscription, upsells, etc.)/ Organizing analytical environments for performance marketing and other business units
- Proven experience in managing large datasets, and in the development and management of a Data Platform. Orgagnizing and preserving data quiality and integrity.
- Proficiency in statistical analysis, data visualization, and predictive modeling tools. Practical experience of using 3rd party tools like Similarweb, Sensor Tower, etc.
- Knowledge and experience of integrating with product analytical tools (Amplitude, Mixpanel) and marketing tooling (Meta, GoogleAds, BigSpy, etc.) Awareness of platfroms integration aspects. Strong A/B tooling practicioner
- Basic knowledge of data platforms architectures and integration technics, its capabilities and limitations
- Experience building scalable analytics systems for rapidly growing companies transitioning from hundreds of thousands to tens of millions of users.
- Experience developing analytics stacks that can be integrated with company platform solutions.
Nice to have:
Experience with systems that automatically optimize marketing campaigns, pricing, and other business processes based on analytical data.
Understanding of recommendation systems and content personalization algorithms.
Why You'll Love Working With Us:
Innovative Environment: We're all about trying new things and pushing the envelope in EdTech.
We are global remote
Health: company-provided medical expense compensation.
AI solutions: АІ subscription and other tools.
Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays.
Collaborative Culture: Work alongside passionate professionals who are as driven as you are.
Location: Tel Aviv
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As a
Software & Data Engineer
at Via, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how Via understands and improves its service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across Via's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how Via operates
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena
About You:
5+ years as a Data Engineer with production-grade Python and SQL
Solid data warehousing experience (e.g., Snowflake, Databricks, Redshift, BigQuery).
Hands-on AWS familiarity: Lambda, S3, SNS/SQS, Firehose, and related lake/ingestion patterns.
Platform mindset: reliability, observability, and systematic production debugging.
Terraform/IaC skills: read, modify, and ship changes for EKS-based deployments.
AI tooling fluency: Cursor/Claude as a primary workflow, can navigate unfamiliar codebases with AI assistance
Experienced with modern data stack tooling; DBT, Airflow, and Iceberg storage are a significant advantage, as is familiarity with AWS big data services and BI tools such as Looker or Tableau
Passionate about data and genuinely curious about technology - you're the kind of person who identifies a gap, designs a solution, and sees it through without being asked
A strong collaborator who thrives working across engineering and business teams, comfortable translating ambiguous business needs into precise, well-designed data models
Self-driven and comfortable navigating complexity independently - you bring clarity to hard problems and raise the bar for the people around you
Compensation and Benefits:
Our product impacts millions of users around the world providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener.
Competitive compensation package which includes base salary and equity
Health insurance with a discount for family members
Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station
Career development and growth opportunities
Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive.
Our teams of worldclass engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more.
If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities.
Ready to join the ride?
Via is an equal opportunity employer.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior Software Engineer
- Location: Espoo
- Department: Engineering
- Reports to: Engineering Lead, Orbit Control
- Employment type: Permanent
- Workplace model: Office / Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior Software Engineer, you’ll help keep ICEYE’s world-leading SAR satellite constellation operating safely and reliably. Working in the AOCS domain, you will take technical ownership of Orbit Control software that helps ensure our satellites are exactly where they need to be to fulfil their mission. Your work will directly affect the performance, reliability, and quality of the SAR data ICEYE delivers to customers.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Take technical ownership of the Orbit Control codebase, primarily written in Python, ensuring it is robust, maintainable, and operationally reliable
- Design, implement, test, deploy, and maintain ground segment software to control the orbits of our satellites
- Build and maintain verification and validation procedures for Orbit Control software in close collaboration with operations teams
- Debug system anomalies systematically and identify root causes to prevent recurrence
- Improve telemetry data analysis, processing, visualization, logging, monitoring, and alerting capabilities
- Collaborate with orbital mechanics experts, mission teams, Staff Engineers, and Engineering Leads to translate operational needs into high-quality software solutions
- Define and promote strong software engineering practices, including automated testing, CI/CD, and operational monitoring
- Mentor junior engineers and contribute to the technical direction of the team
WHAT WE’RE LOOKING FOR
MUST HAVES:
- Proven experience across the full software lifecycle, including designing, building, testing, deploying, and maintaining production software
- Strong experience with operationally critical or high-reliability software systems
- Expertise in systematic root-cause analysis, diagnostics, monitoring, and debugging of distributed systems
- Ability to evaluate technical options rigorously and guide teams toward well-considered engineering decisions
- Strong understanding of software engineering practices such as automated testing, CI/CD, observability, and operational monitoring
- Ability to lead complex technical initiatives, mentor engineers, and influence technical direction
- Strong collaboration and communication skills in cross-functional technical environments
NICE TO HAVES:
- Experience with Kubernetes or similar orchestration systems
- Experience working with spacecraft operations, orbital mechanics, AOCS, or mission-critical aerospace systems
- Experience building tools for telemetry analysis, visualization, logging, alerting, or operational insight
APPLICATION PROCESS
- Talent Acquisition screening (remote)
- Hiring Manager interview (remote)
- Take-home task and technical interview (remote)
- On-site Systems Design Workshop
- On-site Behavioural Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Global (Remote)
Workplace: Remote
Rwazi pays people across the globe to complete short paid tasks — observations, logs, gigs — that turn into structured market intelligence for some of the world's largest brands. Our participants are the supply side of an exchange we sell into Fortune 500 clients. Every activated participant is capacity we monetize.
The role You own the discipline of attracting high-intent participants — not leads, not impressions, not clicks. Participants who sign up, complete paid tasks, and come back for more. You build the systematized growth engine that scales us into new geographies and deepens density in existing ones. You operate globally from Day 1.
This is not a paid-media role. We do not need someone to scale Meta or Google ad spend. We need someone who can architect channels — communities, partnerships, organic loops, referral mechanics, agentic outreach pipelines, geo-specific distribution — and prove they convert into completed paid tasks, not vanity sign-ups.
What you'll own
- A participant acquisition engine that compounds: organic loops, referral mechanics, community partnerships, agentic outreach, geo-specific channel mapping
- Automation and agentic workflows (LLMs for outreach personalization, scrapers for community discovery, Make/n8n/Zapier-style orchestration, lightweight SQL) — scaling acquisition without scaling headcount
- Geographic unlocks driven by client demand and supply-side economics
- The metrics that matter: cost per activated participant, completion rate, repeat-task rate, lifetime task count by market
- Weekly experiments. Kill losers in two weeks. Double down on winners.
You're a fit if
- You've grown a marketplace, gig platform, or two-sided business — and can point at the numbers you moved
- You think in mechanisms, not campaigns ("we got 3x lift from a Telegram bot that pinged completed users with same-day tasks" beats "we ran a campaign")
- You're fluent with agentic tooling — LLM-powered outreach, scraping, no-code orchestration, basic data work
- You've shipped in emerging markets and know the channel mix changes by country
- You write your own copy, your own scripts, your own dashboards — until it's time to scale, then you systematize
You're not a fit if
- Your default move is "let me spin up Meta and Google"
- You need a team of five to ship anything
- You measure success in MQLs
What we offer
- Market-rate base plus performance-tied upside on activated-participant volume
- Full ownership of a function with direct revenue impact
- Direct working relationship with the CEO and exec team
- Global, remote
How to apply Send (1) your best growth experiment — what you tried, what worked, what the number was — and (2) a one-paragraph plan for how you'd attract paid task participants in three emerging markets of your choice. Generic applications get filtered. We read everything that comes with a number attached.
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 looking for a Quantitative Trading Analyst (QTA) to join a volatility-focused trading team. This role is ideal for candidates with 1–2 years of experience in trading, quantitative research, market making, or systematic strategies who are interested in applying quantitative thinking to volatility markets. Prior experience across a variety of asset classes is welcome — including equities, rates, credit and FX.
What you’ll do
Analyze, improve and implement trading strategies
Develop and maintain quantitative models, analytics, and trading tools
Analyze large datasets to identify market opportunities, inefficiencies, and risk exposures
Actively manage live market trading algorithms
Provide liquidity in options via systematic algos and voice in IDB markets
Conduct research into volatility dynamics, pricing, and market microstructure
Collaborate with technology teams to improve trading infrastructure and automation
Support new product and market expansion initiatives across asset classes
What we’re looking for
1–2 years of experience in trading, quantitative analysis, research, or a related role
Strong academic background in mathematics, physics, computer science, engineering, or a similarly quantitative discipline
Excellent quantitative and analytical problem-solving skills
Strong understanding of probability, statistics, and market behavior
Proficiency in Python; experience with SQL, R, or C++ is a plus
Intellectual curiosity and a genuine interest in financial markets and volatility products
Ability to work in a fast-paced, collaborative environment
Strong communication skills and attention to detail
Experience working with derivatives or volatility products
Familiarity with options pricing, Greeks, or volatility surface analysis
Experience handling large market datasets or building research pipelines
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-JW1]
Location: Gdańsk; Hungary
Workplace: onsite
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
Key Responsibilities:
Quality Governance:
Establish and maintain the department’s quality standards, ensuring they align with global best practices and organizational goals.
Strategic Contracting:
Act as a key technical expert during contract negotiations, defining robust
Quality Assurance Agreements (QAA)
, warranty terms, and enforceable penalty frameworks for non-compliance.
Supplier Audits & Lifecycle:
Lead the end-to-end supplier qualification process (AVL), conducting rigorous
on-site and remote technical audits
to evaluate manufacturing capabilities and risk profiles.
Performance & Compliance:
Drive supplier excellence through systematic
Scorecard evaluations
and the
SCAR (Supplier Corrective Action Report)
process, ensuring root-cause elimination via 8D or similar methodologies.
Supply Chain Resilience:
Collaborate with partners to optimize packaging, warehousing, and logistics, specifically aiming to eliminate transit-related defects and reduce logistics waste.
Strategic Leadership:
Design and execute the development strategy for the
IQC (Incoming Quality Control) and SQ
divisions, fostering a high-performance culture through continuous training and mentorship.
Engineering Oversight:
Lead the engineering team in proactive defect prevention, ensuring that technical requirements are met before mass production begins.
Key Requirements:
Education:
Bachelor’s or Master’s degree in
Electrical/Mechanical Engineering
or a related technical field.
Professional Experience:
3+ years in Supplier Quality Management, ideally within
high-tech electronics, systems assembly, or automotive
industries.
Technical Proficiency:
Expert ability to interpret complex technical drawings, specifications, and schematics.
Standards & Frameworks:
Deep understanding of
ISO 9001
(mandatory)
Quality Toolkit:
Mastery of core quality tools:
APQP, PPAP, 8D, 5 Whys, Ishikawa, and FMEA
.
Communication & Languages:
Intermediate+ English (fluent professional correspondence and negotiation).
Chinese (Mandarin)
is a significant "nice-to-have" for direct communication with Asian manufacturers.
Soft Skills:
Strong analytical mindset, "system-first" approach to problem-solving, and the ability to influence partners in a high-pressure environment.
Mobility:
Readiness for business travel (up to 20-30% of the time, including international trips).
We Offer:
Opportunity to work in one of the most recognized and innovative security manufacturers.
Opportunity to take on new challenges, advance your career, and make a meaningful impact.
Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas.
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
Update: We will stop accepting new applications for this role on November 26, 2026.
Summary
GiveWell is seeking a Senior Researcher on our Cross-Cutting team to help us make better funding decisions across our entire portfolio. The Cross-Cutting team works on methodological questions, research quality, and big-picture problems that don't sit naturally inside any single program area.
Cross-Cutting team’s work has included pressure-testing our work through retrospective evaluations of completed grants (
"lookbacks"
) and scrutinizing grantmaking areas (
"red teaming"
), collecting
more on-the-ground quantitative and qualitative information
to check what our grantmaking might be missing, looking for
ways to use AI
to improve our research process, experimenting with new ways to
solicit feedback
, figuring out how to quantify the
“value of information”
in our grantmaking, and answering
thorny research questions
that affect our entire portfolio.
As a Senior Cross-Cutting Researcher, you'll shape ambitious research agendas that cut across GiveWell's portfolios and answer complex questions that inform grantmaking decisions across the organization. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.
We're open to a wide variety of professional development pathways depending on your preferences and our needs.
The role
You will be joining a small team focused on the methodological and cross-portfolio questions that shape how GiveWell does research. You'll sift through the countless questions we could try to answer, hone in on those that matter most, and partner with grantmaking teams (Malaria, Water, Nutrition, Vaccines, Livelihoods, New Areas) to pressure-test and extend their work. You'll also communicate externally about your work and mentor and advise other researchers on the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions GiveWell faces across its grantmaking. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like:
Are our grants actually achieving what we predicted? How do we know, and how can we improve our decisions over time?
How do we systematically incorporate field insights, monitoring data, and external feedback into our work?
How do we design M&E systems that tell us whether grants are working, not just whether grantees are reporting what we asked for?
How can we use AI tools to speed up or increase the quality of our work?
How should we model spillover effects? Do health programs affect income, and vice versa? Are we consistent in how we handle this across program areas?
How should we set our cost-effectiveness bar over time when funding and spending vary unpredictably year to year?
How should we value averting a death versus improving health outcomes versus increasing income? (Our "moral weights" problem)
Where are the systematic risks in our research (i.e., the areas where if we're wrong, we're making big mistakes in how we allocate funding)?
Team structure
Our research department is currently organized into eight teams, including Cross-Cutting:
Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
The Cross-Cutting team works closely with other grantmaking teams. Projects typically involve partnering with a team to pressure-test or extend their work, or running methodological projects that set standards across the department.
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth.
Truth-seeking is one of our
core values
. We post
our mistakes
and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent.
We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don’t waste time.
Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact.
In 2026,
our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future.
We work well together.
Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
Senior Cross-Cutting Researchers typically have quantitatively oriented advanced degrees and substantial relevant experience using empirical tools to make rigorous, evidence-based decisions in the real world. Practically, our senior research staff typically has 5-10 years of post-grad work experience prior to joining GiveWell. We're happy to consider applicants who do not have advanced degrees, but we'll look for a commensurate amount of relevant experience.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:
GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
You love a
gnarly problem
. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
You constantly assess whether you and the team are working on the most important things.
Senior Cross-Cutting Researcher vs. other Senior Researcher roles
We're hiring Senior Researchers for both our Cross-Cutting team and our grantmaking teams. If you're energized by variety and methodological questions that span multiple program areas, Cross-Cutting may be a better fit. If you're excited to develop deep expertise in a specific program area and eventually own a grantmaking portfolio, our grantmaking-team-specific Senior Researcher roles (e.g., Senior Malaria Researcher or Senior Livelihoods Researcher) may be a better fit.
Not sure? Apply to whichever sounds more appealing—we'll help you figure out the right fit during the process, and we're open to moving candidates between tracks.
The details
Compensation:
We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $308,000.
All other U.S. locations: $280,000
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
Benefits:
Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for.
Visa sponsorship:
The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas.
Why we work this way:
Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
Miscellaneous details:
Please note that our hiring process consists of the same work trials for the following roles: Researcher, Senior Researcher, Senior Cross-Cutting Researcher, Senior Livelihoods Researcher, Senior Malaria Researcher, Senior New Areas Researcher, Senior Nutrition Researcher, Senior Vaccination Researcher, and Senior Water Researcher. If, within the last year, you applied and were rejected for one of these roles, you should hold off on applying to the other roles, unless explicitly asked to do so by a member of our team. If you're interested in all of these roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our
FAQs page
!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We’re aiming to hire four to six full-time Senior Researchers.
We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time.
You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Hanoi OR Ho Chi Minh City
Hanoi OR Ho Chi Minh City
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited Kingdom; Belgium; France; Philippines; Ireland; Georgia; Spain; Portugal; United States
География найма не уточнена
ОфисYerevan
This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations; Home Based - APAC
Автоотклики