Location: Gurugram, Haryana, India
NEOLYTIX
Team Lead – AR (RCM)
Accounts Receivable & Denials · US Healthcare
EXPERIENCE
4–5 Yrs AR · 1+ Yr TL
FUNCTION
Operations – RCM
LOCATION
Gurugram (Onsite)
SHIFT
Night (US Hours)
Experience gate —
This role requires 4–5 years of US healthcare AR experience, of which a minimum of 1 year must be as a Team Lead with formal team ownership (targets, coaching, reviews). SME/mentor-only profiles without TL accountability will not qualify.
About the Role
The Team Lead – AR runs a pod of AR associates on live US provider accounts — owning the day’s output, the queue, the quality, and the people. This is a floor-leadership seat: you carry targets, run huddles, unblock associates in real time, and answer for your pod’s numbers in the weekly review.
You still know the work cold — when a complex denial or an angry payer call needs handling, you can take the headset.
Key Responsibilities
Run the Pod
Own daily allocation and queue management across assigned AR buckets — the right accounts, worked in the right order, by the right people.
Drive daily productivity and quality targets; track per-associate output and intervene early, not at month-end.
Run daily huddles — payer updates, error patterns from QA, and priorities for the shift.
Own the Outcomes
Answer for pod-level metrics — resolution rate, aged-AR movement, appeal TAT, and quality scores — in weekly reviews with the AM/Manager.
Handle escalated accounts and complex denials personally when needed.
Partner with QA on calibration and turn audit findings into floor-level fixes.
Build the People
Coach associates on payer-specific nuances, documentation quality, and call handling.
Manage shift adherence, leave planning, and floor discipline for the pod.
Identify and develop Sr Associate potential; give structured input into appraisals.
Skills & Experience
Must-Have
4–5 years of hands-on US healthcare AR (provider side), with strong denials and appeals depth.
Minimum 1 year as a Team Lead with formal ownership of team targets, coaching, and performance conversations.
Command of AR metrics and the levers behind them — you can explain why a bucket moved, not just that it did.
Experience on practice-management / EHR platforms — Epic, AdvancedMD, or athenahealth preferred; similar platforms considered.
Preferred
Experience running a pod across multiple clients or specialties.
Exposure to workforce basics — shrinkage, occupancy, and staffing math.
Eligibility Criteria
Education:
Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible.
Communication:
Strict — confident spoken and written English for payer calls, floor communication, client notes, and weekly reviews with management.
Work mode & shift:
Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential.
Systems:
Comfortable with billing/EHR platforms and MS Excel for allocation, tracking, and pod-level reporting.
Notice period:
Immediate joiners or candidates on short notice strongly preferred.
Performance Expectations
You will be measured on clear, role-specific metrics:
Pod resolution / collection rate against target.
Aged-AR movement (90+/120+) for the pod.
Pod quality score (QA) and calibration adherence.
Productivity vs. target, shift adherence, and pod attrition.
Hiring Process
Aptitude & Skill based assessment.
Domain & operations interview (RCM knowledge, scenarios).
HR discussion (fitment, shift, notice).
Why Join Neolytix
US Healthcare Depth
Live US provider accounts across 270+ client organizations — real RCM, not a training bench.
Clear Growth Path
Associate → Sr Associate → QA / TL → AM: progression tied to performance.
Multi-Platform Exposure
Hands-on across Epic, AdvancedMD, athenahealth, and more — skills that travel.
Stable, Growing MSO
A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.
Location: Riyadh, KSA
Workplace: onsite
About Tabby
Tabby helps users take control of their finances by offering flexible, interest-free payment solutions across the UAE, KSA, Egypt, and Kuwait. Partnering with global brands like H&M, Adidas, and IKEA, we provide a seamless shopping experience, giving customers the freedom to shop smarter and save more.
About the role
We’re looking for a
Senior Copywriter
to join our Marketing team and lead creative copy across our product marketing campaigns. In this role, you’ll craft clear, engaging messaging for financial products like Pay in 4, and Pay over time making complex finance concepts easy to understand, relatable and creatively compelling.
You’ll play a key role in shaping copy across emails, push notifications, in-app communications, and product launches, ensuring everything is customer-centric, strategically sound, and aligned with Tabby’s brand voice.
Key Responsibilities
You will:
Write high-impact, on-brand copy for ongoing marketing campaigns across multiple channels from product launches to activations
Translate complex financial products into simple, clear and engaging messaging that customers instantly understand
Bring creativity and personality to financial copy, making money feel approachable and aligned with Tabby’s tone
Craft compelling in-app notifications that drive engagement, actions, and product discovery
Stay up to date with product marketing trends, money app content and customer engagement best practices, applying insights to optimize performance
Collaborate closely with designers, marketers and product teams to ensure messaging and visuals work together seamlessly
Skills, Knowledge & Expertise
This Might Be Right for You If:
You have 4-6 years of experience in Arabic & English copywriting, preferably within a fintech, bank, e-commerce, or tech environment.
You’re a creative thinker with a knack for turning complex topics into simple, everyday content that helps and delights customers at the same time
You have a solid understanding of writing for different digital platforms (Emails, Push Notifications, in-app).
You can collaborate with designers and marketing teams to ensure cohesive campaign execution.
Good Command of English Speaking.
You’re highly organized, detail-oriented, and can manage multiple projects under tight deadlines.
You understand the importance of data and can adapt copy based on performance metrics to optimize results.
This role is ideal for a talented copywriter who thrives in a fast-paced environment and is excited to contribute to Tabby’s mission of empowering users to shop smarter and manage their finances effectively.
Application Process:
The application process includes an interview with our Content Manager and Brand Manager, a copywriting assessment, and a final interview with our Chief of Marketing.
Location: Remote, APAC
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams.
You will:
- Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions.
- Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members.
- Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues).
- Identify where internal tooling might be developed or obtained to improve support efficiency.
- Reproduce issues, create test cases and improve test coverage, if you have experience with testing.
You are:
- Experienced in customer support, with 3+ years of experience providing developer support to technical customers.
- Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus.
- Excellent communication skills and fluency in English.
- Skilled in using Linux/Unix operating systems and the command line.
- Experienced working with GitHub Issues and Discussions.
- Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js.
- Having a degree in Computer Science is a plus too.
TIMEZONES & LOGISTICS
- It’s a full-time position permanently, with four 10-hour shifts covering weekends during APAC Hours: 00:00-10:00 UTC
- We are primarily looking for someone in Southeast Asia or India time zones for this shift.
- This position covers Friday → Monday based on the above UTC times, so this may vary slightly for your specific timezone.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Cape Town, South Africa
Job Description:
Microsoft Dynamics 365 CRM Engineer
Location:
CBD Cape Town, South Africa (Office-based, on-site)
UK-aligned Hours:
Mon-Fri (10am-7pm winter / 11am-8pm summer)
Reports to:
VP Engineering
Department:
Engineering
Type:
Full-time
We’re seeking a seasoned
Microsoft Dynamics 365 CRM Engineer
to design, build, and scale enterprise-grade solutions across model-driven and Canvas apps. You will lead integrations, implement refined UI/visual enhancements, craft custom components (PCF), and deliver secure, performant data experiences in Dataverse. This role suits an engineer with a proven track record across the full SDLC in complex, fast-moving environments.
Key Responsibilities
Architecture & Customization
— Implement model-driven app customizations (forms, views, command bar/ribbon, Business Process Flows) with clean, maintainable patterns
Canvas & Power Fx
— Build responsive, accessible Canvas apps with robust Power Fx logic and thoughtful UX
PCF Development
— Develop reusable PCF controls (TypeScript/React), including dataset and field components with unit tests
Server-Side Extensibility
— Create plugins, custom workflow activities, and custom actions in C# (real-time and async)
Dataverse Data Shaping
— Pull and transform conditional data via FetchXML, OData, Web API, and QueryExpression with security-aware filtering
Systems Integration
— Integrate with internal and third-party systems through REST/Graph APIs and Azure services (Functions, Logic Apps, Service Bus)
ALM & Governance
— Own solution management and CI/CD in Azure DevOps (managed/unmanaged strategy, environment strategy, versioning)
Client-Side Engineering
— Implement standards-compliant JavaScript/TypeScript for form logic, validation, and UX polish
Data Modeling
— Define and maintain tables, relationships, keys/alternate keys, and business rules to uphold data quality
Security & Compliance
— Apply best practices for roles, field-level security, auditing, and DLP across the Power Platform
Performance & Reliability
— Monitor, troubleshoot, and optimize plugins, PCF, queries, and Canvas app performance
Documentation & Collaboration
— Produce clear technical documentation and partner effectively with product and business stakeholders
Requirements
5+ years
delivering production systems on Dynamics 365/Dataverse and Power Platform
Strong
C#
for plugins/custom workflow activities;
TypeScript/React
for PCF;
Power Fx
for Canvas apps
Demonstrated experience customizing model-driven UI and implementing client scripting
Proven delivery of secure, reliable integrations using
Azure Functions/Logic Apps/Service Bus
and
REST/Graph APIs
Solid
ALM
expertise with Azure DevOps (repos, CI/CD pipelines, automated solution deployments)
Deep understanding of solution layering, dependencies, upgrades, and migrations
Advanced troubleshooting and performance tuning across client and server
Excellent stakeholder communication and documentation skills
Fluent English
(spoken and written)
Nice to Have
Virtual Tables, custom connectors, and event-driven patterns
Power Automate at scale (governance, error handling, retry policies)
Unit/integration testing for PCF and plugins; automated quality gates
Familiarity with licensing, governance, and DLP in the Power Platform
Microsoft certifications (e.g.,
PL-400
,
PL-600
,
MB-260
)
Experience in high-growth or multi-region deployments
About OneDome
OneDome is a UK-based
housing and fintech technology platform
building an
AI-powered platform
to simplify life’s biggest financial decisions — from buying a first home to building and protecting long-term wealth.
The platform brings together property discovery, mortgage origination, legal and transaction ser-vices, insurance, and financial planning into a single, end-to-end digital experience. OneDome’s flagship
HomeBuyer Service
reimagines home ownership as a retail-style product, bundling every-thing required to purchase a home into one transparent, fixed-price offering. Beyond home purchases, the platform supports customers across the full lifecycle of home ownership and personal finance.
OneDome operates at scale, working with a nationwide network of over 500 mortgage brokers and arranging approximately
$1.4 billion in mortgage volume per month
, positioning the company among the largest housing and mortgage platforms in the UK.
The company is
profitable
and has been recognised for rapid, capital-efficient growth, including being ranked the
4th fastest-growing fintech
and
17th fastest-growing technology company
by the Deloitte Fast 50 in 2025, and the 6th fastest-growing tech company by the
Sunday Times Tech 100
in 2026.
Backed by Channel 4 Ventures and family offices across the UK, Saudi Arabia, the United States, and Australia, OneDome is building the next generation
housing and fintech super-platform
, re-placing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience.
Salary: R70,000 – R80,000 / month
Location: Serbia; Georgia; Cyprus; Armenia
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for a
Senior CRM Manager
to join our team!
Your main tasks will be:
Generate hypotheses based on analytical data, customer journey maps (CJM), key business metrics, and lifecycle and loyalty metrics.
Create business specifications with measured potential business effects.
Launch experiments using classic CRM channels (email, app/web push, SMS) and on-product channels (pop-ups, banners, chats, etc.).
Analyze the results of the conducted experiments.
Taking ownership of one of the business's most valuable CRM initiatives (increasing retention of high ARPPU clients, preventing churn, etc.).
Proactively interact with key stakeholders, product managers, UX teams, development teams, and data analysts.
Initiating improvements to processes and products, launching new channels, and using unusual mechanics to achieve business goals.
We expect from you:
Experienced with CRM/CDP Systems, HTML, Google Sheets / Excel, Jira / Confluence, Any BI-systems
Understanding the main CRM metrics: OR, CR, CTOR, retention rate, churn rate, unsub rate etc.
High level of knowledge and experience working with key business metrics: revenue, ARPPU, LTV etc.
Strong command of both Russian and English (B2+) is a must.
Experience with SQL would be a plus
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Singapore
Why This Role Exists
Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission.
Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network.
The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base.
The Role
CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core.
Rapid response.
When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation.
Proactive engineering.
When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds.
Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline.
What You Might Work On
Rapid response:
Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream.
Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering.
Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time.
Proactive engineering:
Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end.
Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle.
Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate.
Responsibilities
Rapid incident response and root cause analysis.
Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends.
Proactive reliability engineering.
Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve.
Cross-functional partnership.
Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes.
Technical leadership and enablement.
Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness.
Product and platform depth.
Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains.
Requirements
Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments.
Strong foundation in networking and security:
TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching.
Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP.
Routing protocols: BGP, OSPF, including path selection and route propagation.
Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs.
VPN and encryption: IPSec, SSL/TLS tunnels, GRE.
Zero Trust architecture, network segmentation, modern security models.
Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing.
Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil.
Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices.
Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers.
Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents.
Desired Skills & Experience
SRE, DevOps, or platform engineering experience with direct customer-facing accountability.
Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket).
Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss.
Data-at-scale analysis using SQL, PromQL, or equivalent.
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker).
Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency.
Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority.
Experience applying AI/ML to production engineering or operational workflows.
Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents.
Bonus Points
Active Cloudflare user who understands the platform as a practitioner.
Hands-on experience with Workers, Pages, R2, D1, or other developer platform services.
Cloud networking and security experience across AWS, Azure, or GCP.
Web programming (HTML, JavaScript) and regular expressions.
Chaos engineering or formal reliability frameworks (e.g., Google SRE principles).
Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: South Africa
About Huzzle
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is an established property management and estate agency based in Manchester, specializing in the residential and commercial sectors. With over 20 years of experience in the local market, the team manages an extensive portfolio of more than 800 properties, ranging from luxury professional apartments to dedicated student housing and commercial lettings. They pride themselves on a bespoke approach to property management, focusing on achieving high yields for landlords while providing modern, high-quality living spaces for tenants across key urban hubs.
The team has crafted a unique, results-driven way of working that prioritizes market expertise and a hassle-free experience for their diverse clientele. Operating with a focus on growth and efficiency, they offer a collaborative environment where local knowledge meets a commitment to service excellence. This is an excellent opportunity to join a stable yet forward-thinking property firm that remains a prominent fixture in the North West’s competitive real estate market.
Job Type:
Full-time (GMT 9:00 AM – 5:00 PM)
Job Summary
As the first point of contact for a thriving Manchester-based real estate agency, you will play a critical role in driving the growth of our residential and commercial portfolios. This role is more than just answering phones; it is about being the engine of our sales pipeline. You will be responsible for qualifying high-intent leads, managing major property portal enquiries, and ensuring every prospective buyer, seller, landlord, and tenant receives a world-class experience from their very first interaction.
Key Responsibilities
Act as the professional first point of contact for all inbound calls and digital enquiries.
Manage and respond to listing leads from Rightmove, Zoopla, OnTheMarket, and SpareRoom.
Qualify prospects effectively to determine their needs and urgency before booking viewings, valuations, or consultations.
Manage the team’s Google Calendar, ensuring all appointments are scheduled accurately.
Maintain a structured CRM, segmenting leads into Hot, Warm, and Cold categories.
Proactively follow up with unconverted opportunities and re-engage dormant leads in the database.
Support email and SMS nurturing campaigns to keep the brand top-of-mind for property investors and professionals.
Track and report on pipeline performance, ensuring zero missed enquiries.
Requirements
Proven experience in Lead Qualification and Appointment Setting.
Previous experience within the Real Estate or Property industry.
Exceptional English communication skills with a professional and confident phone manner.
High proficiency in CRM management and data entry.
Expert-level command of Google Workspace (Calendar, Drive, Docs) and Microsoft Office.
Strong organizational skills with the ability to manage high enquiry volumes independently.
A proactive "follow-up" mentality and extreme attention to detail.
Nice-to-Haves
Familiarity with the Manchester property market.
Experience in managing multi-channel lead generation (phone, email, and property portals).
Background in customer service or front-desk support in a fast-paced environment.
Benefits
🌎 Fully remote role
🎯 Performance-driven culture with clear KPIs and advancement pathways
Location: Marousi, Greece
Position Overview
The Legal Counsel will provide strategic legal support to the Group's operations across Greece, Luxembourg and other jurisdictions where the Group operates, advising senior management and business stakeholders on a broad range of legal and regulatory matters, with particular emphasis on corporate governance, corporate affairs, and legal support for Finance and HR operations across the Group's subsidiaries and affiliated entities worldwide.
Key activities and responsibilities:
Offering strategic legal counsel to senior management and other stakeholders on a broad range of legal and regulatory matters;
Ensuring the company adheres to all applicable laws and regulations, including those related to corporate governance, finance, employment and industry-specific requirements;
Managing corporate governance and corporate housekeeping matters for the Greek and Luxembourg entities and coordinating corporate legal affairs across the Group's subsidiaries and affiliated companies worldwide, including board and shareholder matters, corporate records, powers of attorney and coordination with external counsel;
Drafting, reviewing and negotiating day-to-day commercial and corporate agreements, including employment agreements, freelance contracts, confidentiality agreements, terms and conditions, non-competition agreements, NDAs and DPAs for the Group's entities worldwide;
Drafting, negotiating and supporting the performance of public procurement contracts, ensuring that the company's interests are adequately protected;
Drafting and reviewing legal documents, pleadings and other documents to be submitted before courts and administrative authorities;
Providing legal support in public procurement procedures;
Managing litigation matters, including coordinating and supervising external counsel in Greece and other jurisdictions;
Reviewing and updating employee handbooks, codes of conduct, internal policies and corporate compliance documentation;
Monitoring legal and regulatory developments affecting the Group's operations across multiple jurisdictions and advising the business on legal risks and compliance requirements.
Requirements
University Degree in Law and membership of a Greek Bar Association;
At least 5-8 years of professional experience as a lawyer, preferably in an international corporate environment or a leading law firm;
Demonstrated experience in corporate law and corporate governance, including management of multinational corporate structures and coordination of cross-border corporate matters;
Excellent written and verbal communication skills in Greek and English;
Excellent command of the French language;
Excellent knowledge of Microsoft Office applications;
Strong legal drafting, analytical, negotiation and problem-solving skills;
An LL.M. or professional experience in one or more of the following areas will be considered an asset: EU law, corporate law, public procurement law, employment law and commercial contract law;
Litigation experience will be considered an advantage;
Ability to work independently, manage multiple priorities and collaborate effectively within a fast-paced international environment;
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary and participation in incentive plan of the senior management of the group;
Private Health Coverage on the Company’s group program;
Flexible working hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SLC/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com)
is a leading European Software, Information, Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.). The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. ED is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
ED
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy.
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
ОфисseniorRiyadh, KSA
УдалённоTIMEZONES & LOGISTICS; We are primarily looking for someone in Southeast Asia or India time zones for this shift; This position covers Friday → Monday based on the above UTC times, so this may vary slightly for your specific timezone; Remote, APAC
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