Location: New York City, New York
What the Role Is
Babylist is hiring a
Senior Experiential Producer
for a 6-month engagement who's comfortable leading the strategy, creative direction, and production of events — from marquee Registry Weekend events to partner-sponsored showroom takeovers and brand pop-ups. You'll take a loose brief and own it end to end: concept, creative, vendors, budget, and show-running inside our NYC showroom in Soho. You own how each individual event is conceived and brought to life. Expect several events moving at once, each at a different stage, from early concept through post-event recap.
This is a hybrid role based out of NYC with required presence at the NYC Showroom at least 3 days a week with the occasional weekend. On event days, hours could stretch earlier and later to cover load-in (as early as 7am) and breakdown (as late as 9pm), but that's specific to event days, not the norm.
Events you’d be responsible for and expected to be on site for:
Overview of Events, Pop-ups and Brand Activations
October
10/27 Venue Rentals:
A partner-rented panel discussion hosted in our owned-and-operated space. The producer serves as the primary venue point of contact — leading walkthroughs, sharing our approved vendor list, and handling the logistics that let the outside team produce smoothly on their own.
November
11/9 and 11/10 Venue Rentals:
Two partner-rented activations in our owned-and-operated event space. The producer serves as the primary venue point of contact — leading walkthroughs, sharing our approved vendor list, and handling the logistics that let the outside team produce smoothly on their own. With back to back events, producers will need to ensure that load in and break down is done seamlessly.
December
12/5–12/6 Registry Weekend:
Babylist's signature two-day consumer event welcoming 2,000 people in our showroom featuring approximately 8–10 brand partners, educational programming, product demonstrations, gifting, food and beverage, and immersive guest experiences.
12/9: Social Impact Event:
A custom partner-sponsored showroom experience featuring branded storytelling, product education, curated guest experiences, décor, food and beverage, gifting, and influencer programming.
January
1/14 and 1/28: Babylist-produced Event:
Two custom partner-sponsored showroom experiences featuring branded storytelling, product education, curated guest experiences, décor, food and beverage, gifting, and influencer programming.
February
2/6–2/7 Registry Weekend:
Babylist's signature two-day consumer event welcoming 2,000 people in our showroom featuring approximately 8–10 brand partners, educational programming, product demonstrations, gifting, food and beverage, and immersive guest experiences.
Who You Are
Comfortable leading strategy, concepting, and production of an event, start to finish — this isn't a role where someone else hands you the concept.
Deeply plugged into the brand activation + experiential world — you know what the coolest brand activations out there look like, you know what's trending, and you have impeccable taste to bring it to life.
Able to originate the concept yourself — you can build a mood board and a full concept deck from scratch, not just execute someone else's vision.
Track record producing design-driven brand experiences and pop-ups — you know the process of turning a brief into a full-blown event, from décor to negotiating with vendors to custom fabrication.
Able to run large and small-scale event productions — you feel just as comfortable executing a 500+ person event at the Babylist Showroom as back-to-back 10–15 person influencer gatherings on consecutive weekends.
Comfortable holding several events at overlapping stages at once — one in planning, one in production, one in recap — without dropping a thread.
Experienced building and managing vendor budgets (catering, rentals, florals, fabrication, AV, photography) and keeping production on time and on budget.
You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
Set the strategy and concept for individual events — mood boards, decks, layouts, décor, spatial planning — then produce them yourself, concept through strike.
Produce Babylist's signature Registry Weekend events in New York and lead partner-sponsored showroom experiences, from 15-person influencer gatherings to 500+ person multi-programming events.
Turn concepts and approved briefs into real production plans, timelines, and workbacks, and lead the planning meetings that keep internal teams and vendors aligned.
Source and manage production vendors — rentals, florals, fabrication, AV, photography, signage, catering — and oversee logistics from delivery through installation and breakdown.
Run load-in, show, and strike onsite, owning the run of show and troubleshooting in real time.
Wrap up production post-event, document learnings, and feed them into Babylist's internal recap process and the next event's planning.
Keep a rolling calendar moving — often conceiving the next quarter's Registry Weekend while still executing the current one
About Compensation
We use a market-based approach to compensation. The hourly rate for this role is:
$76.92 per hour
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: Sydney, Australia
About Blue Projects
Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue-chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality.
With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.”
Deliver here. Grow here.
We are seeking a hands-on Maintenance Fitter / Tradesperson for a site-based role at a busy food manufacturing facility in Sydney, NSW. You will support safe and reliable plant operations through planned preventive maintenance, breakdown repairs, corrective work and practical site improvements, working independently or as part of the maintenance team.
Role Overview
This role is based at a multi-storey food manufacturing site in NSW, with an anticipated start in early 2027 and engagement through Blue Projects. The work is varied and dynamic, moving between planned maintenance, reactive repairs, improvement tasks and general facility maintenance. The successful candidate will be a self-starter who takes ownership of each job and completes work safely and to a high standard without close supervision.
Job Description
Change pumps, mechanical seals and associated equipment.
Install, run and modify pipework.
Identify faults and complete mechanical repairs.
Complete preventive maintenance and corrective PM02 work orders for the maintenance teams.
Respond to equipment breakdowns and routine site maintenance requests.
Carry out general maintenance and handyman tasks throughout the facility.
Work safely at heights and across multiple levels of the plant.
Follow site Good Manufacturing Practice, food safety and workplace safety requirements on every job, including permits and risk assessments.
Leave all work areas clean, safe and ready for production.
Qualifications
Trade-qualified fitter or equivalent tradesperson with strong site experience.
Self-motivated and able to take ownership of work from start to completion.
Comfortable working independently and equally effective as part of a team.
Willing to undertake challenging jobs and work overtime when required.
Strong safety mindset with an understanding of Good Manufacturing Practice in a food manufacturing environment.
Confident and competent when working at heights.
Practical, adaptable and able to move between planned and reactive work.
Reliable, punctual and well presented.
Current working at heights ticket is required.
Confined space, elevated work platform for scissor and boom lifts, and forklift tickets are well regarded.
Previous experience in food manufacturing or another Good Manufacturing Practice-regulated site is advantageous.
Completion of the site induction and compliance with all site safety, hygiene and personal protective equipment requirements are required.
Additional Information
Career growth & well being
At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program.
Benefits (country specific)
Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan.
Global mobility
Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements.
Our culture
We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset.
Inclusion & Equal Opportunity
Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers.
GDPR & confidentiality
By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially.
________________________________________________________________________
About Blue Projects
Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity.
________________________________________________________________________
How to apply
Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.
Location: Berlin, Germany
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Lisbon
Build with us
Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.
We're one of Europe's fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you'll have the freedom to create and the trust to deliver.
If you're ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.
Your impact
This is a critical, customer-obsessed role at the frontline of Mollie's mission. You'll be the first point of contact for our merchants, ensuring they get the excellent support they need to succeed and grow. Your impact is immediate: you help make our customers proud to work with us by providing outstanding, proactive service.
You'll do more than just answer questions - you'll be the voice of the customer, using their feedback to drive real, innovative changes within Mollie. This role is about listening, solving problems fast, and making a direct contribution to the customer experience. Join a new and growing team in Lisbon to own the success of our growing merchant base.
What you'll ship
- Act as the first point of contact across live chat, email, and phone to resolve customer inquiries quickly and effectively.
- Proactively advise customers on Mollie products that fit their activities and help boost their online and offline presence and revenue.
- Contribute to improving the customer experience by providing actionable feedback and proposing innovative solutions to internal teams.
- Listen closely to customer feedback and challenges to align our support efforts with Mollie's mission of being customer-obsessed.
What you'll bring
- Fluent in English. Any other language is nice to have.
- Available to work fulltime, including weekend shifts in a hybrid setup (Please note that for the first 2 months, we require you to work from our office in Lisbon from 08:00-17:00 or 09:00-18:00 on weekdays).
- At least 1 year of experience in (customer) support
- Ability to easily adapt to changing environments and quickly grasp new information and processes.
- A fast learner who can take on complex problems and rapidly find solutions.
- An easy communicator with a knack for clarifying complex topics and maintaining a human connection.
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com is really like.
AI at Mollie
We believe in Always Be Shipping, and AI https://jobs.mollie.com/ai-manifestobrings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
Location: Beijing
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.
In this role, you'll work across our midcore game portfolio, contributing your artistic skills to titles that have already demonstrated strong core mechanics and real player engagement. Midcore games demand a rich and immersive visual language, from compelling character and environment art to visceral combat feedback and cohesive world-building, and your work will be central to delivering that.
You'll have the opportunity to contribute directly to the growth and visual refinement of our midcore titles, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to join a project pipeline with established momentum, while still having a significant impact on the creative direction within a dedicated and agile studio environment.
ROLE
- Support the Art director in the ideation and execution of the game’s vision.
- Design and implement a high-quality, scalable UI from concept to final integration in Unity.
- Develop and optimize UX flows of new and existing features.
- Create and maintain a comprehensive UI Style Bible and reusable component libraries.
- Create high-quality 2D assets (menus, HUDs, buttons, icons, etc) and ensure optimal performance across mobile devices.
- Setup, integrate, and animate UI scenes in Unity.
- Work with Game Designers to ensure UI supports gameplay and accessibility goals.
- Iterate quickly based on team feedback and live user data.
- Propose creative ideas to boost player engagement and improve the user experience.
PROFILE
- Strong Unity skills, with the ability to implement and troubleshoot UI setups directly in engine.
- Excellent 2D design skills, with a keen eye for visual hierarchy, composition, and readability.
- Experience with A/B testing interfaces or working with LiveOps features.
- A keen eye for emerging mobile game trends with the ability to creatively deconstruct and learn from success cases.
- Ability to design, document and execute a consistent UI visual language.
- Experience collaborating with cross-functional remote teams.
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
- Fluent in English.
BENEFITS
• Best-in-class compensation
• Other benefits according to the country you reside
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.
We are looking for a
Senior
Sales Engineer
to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
Revenue quality
Engineering focus
Product evolution
Customer trust at scale
You’re welcome to work remotely
from
Europe.
Your responsibilities will include:
Strategic Technical Discovery
Lead deep technical discovery with engineering teams and technical founders
Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
Translate customer ambition into production-feasible architectures
Identify hidden technical risks early
Commercial Acceleration
Partner tightly with Sales on strategic deals
Influence deal strategy through architectural clarity
Prevent misaligned commitments before engineering allocation
Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
Define measurable success criteria (latency, TTFT, throughput, cost envelope)
Classify workload complexity and required optimization depth
Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
Drive structured Go / No-Go decisions
Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
Identify recurring configuration patterns across customers
Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
Surface structured insights to Product and Engineering
Help evolve platform capabilities based on real workload data
We expect you to have:
Deep understanding of AI inference systems and GPU-backed infrastructure
Experience with LLM workloads and performance-sensitive environments
Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
Ability to reason about latency, throughput, cost, and architecture tradeoffs
Strong customer presence with engineering-first organizations
Comfort challenging assumptions and pushing back constructively
Commercial awareness – you understand that engineering time is a strategic resource
Preferred technical stack
:
Programming Languages– Python
Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
API and Web Frameworks– FastAPI, Flask
MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What success looks like
:
Strategic deals are technically sound before engineering engagement
PoCs are clearly scoped and economically justified
Engineering capacity is allocated predictably
Conversion to production improves
Customers view you as a trusted architectural advisor
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Beijing
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.
In this role, you'll work across our puzzle game portfolio, contributing your artistic skills to titles that have already demonstrated strong core mechanics and real player engagement. Puzzle games demand a precise and thoughtful visual language, from clear iconography and satisfying feedback animations to cohesive UI and world aesthetics, and your work will be central to delivering that.
You'll have the opportunity to contribute directly to the growth and visual refinement of our puzzle titles, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to join a project pipeline with established momentum, while still having a significant impact on the creative direction within a dedicated and agile studio environment.
ROLE
- Support the Lead Artist in the ideation and execution of the game’s vision.
- Create high-quality 3D assets (characters, assets, props and environment art) and ensure optimal performance across mobile devices.
- Setup, integrate, and animate UI scenes in Unity.
- Work with Game Designers to ensure UI supports gameplay and accessibility goals.
- Iterate quickly based on team feedback and live user data.
- Propose creative ideas to boost player engagement and improve the user experience.
PROFILE
- Strong Unity skills, with the ability to implement and optimise directly in engine.
- Excellent 3D /2D design skills, with a keen eye for visual hierarchy, composition, and readability.
- Experience with A/B testing or working with LiveOps features.
- A keen eye for emerging mobile game trends with the ability to creatively deconstruct and learn from success cases.
- Experience collaborating with cross-functional remote teams.
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
- Fluent in English.
BENEFITS
• Best-in-class compensation
• Other benefits according to the country you reside
Location: Limassol Cyprus
Workplace: OnSite
ABOUT US
Scorewarrior is a game developer and publisher based in Limassol, Cyprus.
We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and are continuing to grow, with the goal of becoming the #1 game in the genre.
Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games.
ABOUT THE ROLE
At Scorewarrior, we're making a long-term investment in Building Blocks — a new generation of self-service internal products with clear interfaces, contracts, and documentation that game teams can adopt independently.
Localization Hub is the first Building Block.
Today, Localization Hub, together with Crowdin, powers localization workflows across Scorewarrior — from translation tracking, analytics, and reporting to automated translation quality checks and an AI-powered localization assistant.
Our next goal is to transform Localization Hub into the first fully self-service Building Block, enabling content teams to localize standard features independently while the lead focuses on high-level decisions.
The engineering team behind Localization Hub will establish the architecture, engineering standards, and practices that future Building Blocks will build upon.
WHAT WE'RE LOOKING FOR
We're looking for a Staff Frontend Engineer to design and build the portal's micro-frontend platform and a shared component library. Localization Hub will be the first module.
WHAT YOU’LL DO
- Design the micro-frontend platform architecture and defend the solution
- Develop the portal Core and the module contract
- Set up module delivery: template, CI/CD, documentation
- Migrate the current Localization Hub as the first module of the portal
- Build a shared component library based on Atomic Design and Storybook, contributing to its visual design as well
- Set standards for module teams and help them onboard to the portal
- Maintain high code quality through testing, code reviews and documentation
- Own portal performance: loading time, bundle size budgets and rendering speed across modules
- Investigate and resolve frontend production issues, including layout bugs, interaction quirks and degraded performance
- Collaborate with backend engineers, module teams and product to align on APIs, requirements and platform priorities
- Take part in planning and scoping the platform roadmap, and drive upgrades of shared dependencies across modules
- Mentor engineers and help improve team practices in frontend architecture, testing and performance tuning
WHAT YOU SHOULD HAVE
- 5+ years of commercial frontend development experience
- Deep knowledge of React and TypeScript
- Strong HTML and modern CSS skills, and the ability to build well-structured, reusable and responsive components
- Experience building a micro-frontend platform in production with React, TypeScript, Vite and React Router: Module Federation, Next.js Multi-Zones, import maps or similar, and independently versioned npm modules
- Frontend CI/CD experience: environment-based rollouts, CDN, versioned releases and rollbacks
- Experience creating or evolving a design system and Storybook
- Experience writing unit, integration and end-to-end tests (Vitest or Jest, Playwright)
- Understanding of performance, accessibility and web security
- Ability to justify decisions in writing (design documents, ADRs)
NICE TO HAVE
- Interest in design and basic Figma skills
- Experience migrating an existing application to micro-frontends without disrupting users
- Experience with Next.js
- Experience with state and data management in React: Zustand, Redux Toolkit, TanStack Query
- Frontend observability: Sentry, per-module metrics
- GitLab CI, Docker, Kubernetes
WHAT WE OFFER
- An excellent remuneration package, including a 13th salary
- Full relocation coverage for you and your family to Cyprus (Limassol)
- A modern, sunny office close to the sea
- Private health insurance for you and your family members
- A monthly pre-school, school, and university allowance for employees' children
- Lunch compensation
- A sports and fitness allowance
- Company-funded personal development opportunities (professional and language courses, books, etc.)
- Bonuses for outstanding results, years of service, marriage, and childbirth
- Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations
Location: Tbilisi, Georgia
On behalf of
UrbanTech
Client #1
, SD Solutions is looking for a talented
Senior Platform Engineer
you’ll own and evolve our AWS production infrastructure and build internal services and AI-powered automations that make our teams more effective.
This is an infrastructure-focused engineering role requiring deep AWS and Terraform expertise, strong production ownership, and the ability to build reliable platform capabilities.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Build and evolve platform services
that improve productivity, reliability, and developer experience across the company.
Develop AI-driven tools and automations
, including internal assistants, workflow orchestrators, and intelligent internal integrations.
Own and operate our production environments on AWS end-to-end, using Terraform to deliver secure, scalable, reliable, and cost-efficient infrastructure.
Create self-service capabilities
that allow teams to move independently without relying on manual processes.
Integrate platform components
with our .NET and Python environments running on AWS.
Collaborate with Platform, Security, DBA, Product, and business stakeholders
to deliver impactful, cross-organizational solutions.
Improve engineering efficiency
through reusable templates, best practices, and inner-source contribution models.
Requirements:
6+ years of engineering experience, including significant experience in platform infrastructure, DevOps, site reliability engineering, or cloud engineering.
Deep hands-on expertise with
AWS
services and architecture, including EKS, Lambda, ECS, IAM, S3, networking, security, and high-availability design, together with advanced
Terraform
experience.
Strong proficiency in
Python
; good familiarity with
.NET
.
Experience building or integrating
AI-driven agents, LLM-based tools, or intelligent automation
.
Proven experience owning production environments, including infrastructure changes, deployments, availability, observability, incident response, security, scalability, and operational maintenance.
Excellent collaboration and communication skills with both technical and non-technical partners.
A mindset geared toward
automation, scalability, and secure-by-default engineering
.
About the company:
A mobile payments and driver services platform providing turnkey parking solutions to local governments and parking operators. The company has accumulated millions of registered users and achieved widespread adoption in its home market, becoming a go-to app for parking payments and vehicle-related services.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Key Responsibilities
Compliance Requirements TranslationLiaise with local compliance teams across global regions to develop a deep understanding of the security technical requirements under various regulatory frameworks (e.g., EU DORA, Turkey CMB/Tubitak, Hong Kong SFC). Translate compliance requirements into actionable security platform product requirements and technical solutions.
Audit & Certification SupportLead or participate in security audit preparation for compliance entities, including internal audits, external audits, penetration test report reviews, and audit evidence compilation and delivery — ensuring accuracy and timeliness of all audit materials.
Security Operations GovernanceDrive the implementation of security policies, processes, and standards across compliance entities, covering control domains such as vulnerability management, log monitoring (SIEM), antivirus coverage, access rights reviews, and security awareness training.
License Application SupportParticipate in the security-related components of financial license applications across regional compliance entities; author technical documentation including security architecture descriptions, control matrices, and risk assessments.
Security Metrics ManagementAssist in establishing and maintaining security operations metrics frameworks for each compliance entity (coverage rates, SLAs, compliance rates, etc.); produce regular security operations reports.
──────
Requirements
Bachelor's degree or above in Computer Science, Information Security, or a related field; 5+ years of experience in information security, with at least 3 years focused on security compliance governance, security auditing, or security operations.
Solid familiarity with mainstream security compliance frameworks and regulatory requirements such as ISO 27001, SOC 2, PCI DSS, and GDPR; knowledge of financial industry security regulations (e.g., DORA, MAS TRM) is a plus.
Strong security technical foundation with the ability to understand the working principles of security products and controls including SIEM, vulnerability scanning tools (Tenable/Orca/Nessus), EDR/antivirus, WAF, and IAM.
Hands-on experience participating in security audits (internal or external), with the ability to independently complete audit evidence preparation, control gap analysis, and remediation tracking.
Fluent in both Chinese and English; able to read regulatory documents in English, produce security compliance technical documentation, and communicate seamlessly with overseas teams.
Strong cross-functional communication and project execution skills; able to collaborate effectively across multiple time zones and cultural backgrounds.
──────
Bonus Points
Prior security compliance experience at a cryptocurrency exchange, payment institution, large internet company, or fintech firm.
Experience building multi-region / multi-site security compliance frameworks (not limited to a single region).
Familiarity with security platform/product development; ability to derive platform feature requirements from compliance needs.
Experience as an ISO 27001 internal auditor or participation in a SOC 2 Type II audit.
Holds certifications such as CISSP, CISM, CISA, or ISO 27001 LA/LI.
Direct hands-on experience with specific regional regulatory frameworks such as DORA, Tubitak, or SFC.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: US (EST)
Workplace: Remote
ABOUT MORPHO
Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.
WHY MORPHO EXISTS
Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/.
LOCATION
Hybrid New York or Remote (EST timezone).
ROLE
Morpho's commercial activity is growing fast, and the partnerships, integrations and vendor relationships behind it now outpace what Legal can cover. Reporting to the General Counsel, you will own the contract lifecycle for our partnerships end to end (intake, standard paper, signature, post-signature obligations) and build the tooling behind it, so that standard deals close without waiting on senior lawyers.
RESPONSIBILITIES
- Deal desk: intake and triage of partnership team requests, NDAs on our paper and the counterparty's, and first drafts and negotiation of our standard partnership and incentive agreements, through to signature packs and signing summaries.
- Post-signature tracking: a single contract repository linked to our CRM, and an obligations register (milestones, grant tranches, exclusivity periods, notice windows, renewals) with alerts to deal owners and Finance. Be the go-to person for the conditions of signed deals.
- Legal ops infrastructure: negotiation playbooks, a clause library, a consolidated set of templates, a Legal FAQ for recurring partner questions, AI workflows and agents for intake, drafting and review, outside counsel budget tracking, and a monthly report on legal throughput.
- Vendor and compliance ops: standard vendor and SaaS terms, renewals and insurance calendar, due diligence and security questionnaires, internal policy upkeep and data room hygiene.
- As capacity allows: corporate housekeeping for Morpho's legal entities, and support on employment, IP and privacy matters with outside counsel.
- Work daily with the partnership team, Finance, RevOps, BizOps and outside counsel.
WHAT SUCCESS LOOKS LIKE
FIRST 30 DAYS
You understand Morpho's products and main commercial relationships, own the partnership legal queue and all NDAs, and have read every live partnership agreement and our standard templates.
FIRST 3 MONTHS
Counterparty-paper NDAs are turned around within 2 working days. Every signed agreement sits in one repository linked to its CRM record, and the obligations register is live for all agreements in force, with alerts to deal owners and Finance.
FIRST 6 MONTHS
Standard template deals run without senior lawyer involvement, except for listed deviations. Partner categories are consolidated into an agreed set of templates, each with a playbook. You deliver a monthly throughput report (volume, cycle time, deviations), vendor renewals and insurance sit on a single calendar, and you have proposed the 2027 legal operations roadmap.
MUST HAVE SKILLS & EXPERIENCE
- Legally trained (qualified lawyer or equivalent law degree), with 5 to 8 years in commercial contracting, part of it in-house at a fast-growing technology company.
- Has negotiated partnership, integration or licensing agreements alone, on both own and counterparty paper. US-style commercial drafting is essential.
- Has built legal operations in practice (contract lifecycle tooling, playbooks, intake, reporting), not only used them.
- Builds with AI tools: writes prompts and skills, automates document workflows, and knows where review by a lawyer is still required.
- Comfortable working with Finance on payment mechanics, milestones and budgets, and with a CRM as the source of truth.
- Able to hold a position with a deal team under time pressure.
- Clear, concise communication with non-lawyers.
- Strong ownership and autonomy at startup pace with limited support: doesn't wait to be told.
- Comfort operating in fast-changing, ambiguous contexts.
- Ability to work across US Eastern time zones with shifting priorities.
- Team-first mindset, low ego.
PERKS & BENEFITS
We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.
EQUAL OPPORTUNITY
We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.
Location: Budapest, Hungary
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world.
Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career.
As our new Inside Sales Representative you will manage the entire sales cycle, from lead generation to closing deals, by engaging with prospective Wolt merchants over the phone. You will have a direct impact on Wolt’s growth by identifying and onboarding new restaurants.
What you’ll be doing
Day-to-day in this role you’ll work with:
Lead Generation & Acquisition:
Research and target potential Wolt merchants across Hungary
Execute outbound cold calls to generate new business opportunities and build a strong sales pipeline.
Relationship Building:
Build and maintain strong, long-term relationships with our Wolt merchants for mutual success.
Engage with merchants to understand their needs and present Wolt as the ideal solution.
Sales Performance:
Meet and exceed sales targets by consistently closing new partnerships with Wolt merchants.
Track and report on KPIs, such as the number of calls, virtual meetings, and Wolt merchants onboarded.
Coordination & Documentation:
Ensure smooth onboarding of new Wolt merchants by organizing and maintaining accurate documentation in our CRM.
Work closely with internal teams to streamline processes and guarantee a seamless experience for Wolt merchants.
Attention to detail is required
Our humble expectations
Have 1–2 years of B2B consultative sales experience and a Bachelor’s degree or equivalent, executing day-to-day independently and seeking guidance on complex deals.
Have the charm, empathy and honesty to build strong relationships.
Are used to high-performance, high-expectation cultures.
You have a great track record in B2B consultative sales and are a superstar deal closer.
Take a hands-on, proactive approach to getting stuff done and seeing things through.
Have fluent and persuasive written and spoken communication skills in Hungarian and conversational level English knowledge
Are entrepreneurial, innovative, and good at solving problems.
Can adapt quickly in a rapidly changing market.
You plan ahead and have structure to your work - you develop strategies for how to succeed in your markets and go hunting with purpose and planning.
What’s in it for you
🌍 Independent work in a dynamic, international team
💳 SZÉP-card
🏥 Private health insurance
🏋️ All You Can Move card (self-financed)
💙 Employee Assistance Programme - therapy and wellbeing
% Discount on your Wolt orders
👶 Extended parental leave for fathers: 16 weeks total
💻 Modern work equipment
🫶 Volunteer day
🍿 Snacks & drinks in the office
🏡 Hybrid working model
Why you’ll love it
🚀Global and growing fast:
Be part of a fast-moving scaleup
🤩Ride of a lifetime:
Accelerate your career and build your sales skills
💪Instant impact:
Take ownership and make a difference
💙Big hearts and small egos:
Surround yourself with smart, friendly people
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going!
We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! 💙
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across CEE. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the CEE market.
Responsibilities:
Win new business and drive revenue for Anthropic within the enterprise sector across CEE. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across CEE business culture and practices
Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the CEE enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences
A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the CEE market
A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
What We Offer:
Competitive base salary and commission structure
Equity participation in Anthropic's growth
Comprehensive benefits package
Opportunity to shape the AI industry in CEE
Professional development and career growth opportunities
Location:
Munich, Germany (hybrid working available)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€265.000
—
€310.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: GE; PL
Workplace: remote
Overview:
SOFTSWISS is looking for an
IAM Security Operations Engineer
to maintain and troubleshoot IAM services, manage identity lifecycle processes (JML), and ensure secure, role-based access across our systems.
Key responsibilities:
Handle complex and non-standard JML scenarios
Perform technical troubleshooting of IAM services (SSO, IdP, provisioning flows), including Keycloak
Configure and maintain Adaxes automation tool: automation rules, approval-based workflows, role-based permissions, etc
Implement changes in IAM services and integrations (Keycloak, Adaxes,etc)
Process Joiner/Mover/Leaver (JML) access requests in alignment with approved RBAC models
Automate repetitive access management tasks
Validate access requests against least privilege and segregation of duties principles
Write technical and user documentation, including models (e.g., UML)
Monitor IAM platform health and proactively identify risks
Assist users with access and system requests in alignment with Security standards and procedures
Required Experience:
2+ years in IAM, identity operations, or security engineering roles
Experience in maintaining and troubleshooting IAM – related services (Keycloak, Adaxes, GWS)
Experience maintaining secure IAM integrations using APIs and federation protocols (SAML 2.0, OAuth 2.0, OpenID Connect)
Hands-on experience with RBAC configuration and provisioning workflows
Solid understanding of IAM architecture concepts
Working knowledge of SSO, MFA, provisioning, and directory services
Understanding of identity-related security risks
Strong troubleshooting and log analysis skills
Understanding of identity protocols (SAML, OAuth, OIDC – operational level)
Ability to communicate clearly with business users
Ability to work independently on technical incidents
Scripting or automation capability (e.g., Python, PowerShell, Bash)
Intermediate or higher English (B1+) and strong command of Russian
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: Lugano, Switzerland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO.
This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities.
The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience.
Your responsibilities will include:
Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development.
Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure.
Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls.
Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures.
Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts.
Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise.
Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities.
Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage.
Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements.
Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders.
Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program.
Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations.
We expect you to have:
6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations.
2+ years of experience leading technical security teams.
Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats.
Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments.
Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs).
Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources.
Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks.
Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis.
Strong analytical, investigative, and problem-solving skills.
Excellent written and verbal communication skills in Hebrew and English.
It will be an added bonus if you have:
Experience hunting across AWS, GCP, or Azure cloud environments.
Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments.
Experience developing detection rules and behavioral analytics.
Knowledge of malware analysis, digital forensics, or reverse engineering concepts.
Experience with threat intelligence platforms and threat hunting frameworks.
Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent.
BSc in Computer Science, Information Security, or a related field.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Sydney, Australia
seniorBerlin, Germany
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.
ОфисLimassol Cyprus; Full relocation coverage for you and your family to Cyprus (Limassol)
seniorTbilisi, Georgia
Kuala Lumpur, Malaysia; Strong cross-functional communication and project execution skills; able to collaborate effectively across multiple time zones and cultural backgrounds
УдалённоHybrid New York or Remote (EST timezone); Ability to work across US Eastern time zones with shifting priorities; We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment; US (EST)
Автоотклики