Location: Poland; Czechia; Spain
Dentons Business Services EMEA
is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration.
At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability.
Job Purpose
The Senior Legal Engineer plays a key role within the Legal Tech Enablement team, designing and implementing legal technology solutions that improve service delivery across Dentons Europe. The role combines technical expertise with legal process knowledge to deliver automation, workflow optimisation, and innovative tools for lawyers and clients. This is an opportunity to play a visible role in shaping how legal services are delivered across a leading international law firm. The successful candidate will work at the intersection of law, technology, and innovation, leading meaningful change, delivering practical solutions, and helping scale legal tech capability across multiple jurisdictions.
Senior Legal Engineers lead legal engineering projects from concept to deployment, collaborate closely with practice groups to understand requirements, and mentor Legal Engineers and Junior Legal Engineers. They act as subject matter experts and contribute to the strategic direction of legal technology initiatives.
Responsibilities include developing automation solutions, implementing legal technology platforms, improving legal workflows, building custom applications and integrations, and managing relationships with selected technology vendors. The role also involves stakeholder engagement, solution design, user training, and ensuring the quality and scalability of deployed systems.
Some positions may also involve specialised responsibilities in eDiscovery and litigation support.
This role offers opportunities to develop leadership capabilities, deepen expertise in legal technologies, and contribute to the firm’s innovation strategy.
Responsibilities:
Lead end-to-end delivery of legal engineering projects (automation, document assembly, data extraction, custom applications).
Analyse legal workflows with practice groups and design technology solutions to optimise processes.
Build and configure solutions using automation and low-code/no-code platforms.
Prepare technical specifications, implementation plans, and documentation.
Test, troubleshoot, and maintain deployed solutions.
Work closely with partners, lawyers, Technology, and Business Development teams to deliver solutions.
Act as the main point of contact for vendors, managing implementations and training.
Present solution designs, run user testing, and support adoption across teams.
Contribute to the legal technology roadmap and evaluate new tools.
Support business cases, ROI analysis, and proof-of-concept initiatives.
Identify opportunities to scale successful solutions across practice areas.
Mentor and guide Legal Engineers and Junior Legal Engineers.
Foster collaboration and knowledge sharing across the team.
Maintain documentation, monitor solution performance, and implement improvements.
Stay up to date with legal tech developments and share insights with the team.
Requirements
Bachelor’s degree in Law, Computer Science, Engineering, Social Sciences, or a related field.
Advanced degree or certifications in legal tech, innovation, or technology (preferred).
4+ years of experience in legal technology, legal engineering, legal operations, software development, or a related field in delivering legal tech solutions from concept to deployment.
Hands-on experience with workflow automation, document automation, or legal applications.
Experience mentoring junior team members or working in client-facing/consulting roles is a plus.
Strong understanding of legal workflows and service delivery. Ability to assess technical feasibility while keeping user experience and business value in focus.
Experience with legal technology platforms (e.g., document automation, workflow tools, legal AI).
Familiarity with process mapping, software development lifecycle, and testing practices.
Strong analytical and problem-solving abilities.
Lead change management efforts to ensure new tools and workflows are embedded successfully across teamsExcellent communication skills, including the ability to explain technical concepts to non-technical stakeholders. Ability to collaborate across multidisciplinary teams and influence stakeholders. Build trusted relationships with partners and senior stakeholders to identify opportunities and drive adoption of legal technology solutions.
Highly organised, proactive, and comfortable working in dynamic environments.
Mentorship mindset with a collaborative, client-focused approach.
Benefits
Remuneration and benefits package will reflect the successful candidates experience and country where hired.
Location: San Francisco, CA | New York City, NY
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 RL Teams
Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely.
This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact.
You may be a good fit if you:
Have strong software-engineering skills and deep Python expertise, including async/concurrent programming
Are comfortable owning systems end to end and debugging across the stack
Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results
Care about code quality, testing, and performance
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may also have:
Experience with reinforcement learning, RLHF, post-training, or LLM finetuning
Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling
Background in program analysis, testing, verification, compilers, or formal methods
Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems
CUDA / GPU or TPU kernel experience and accelerator-performance intuition
Experience with virtualization and sandboxed code execution environments
Related roles
If your background leans toward one of these areas specifically, you may also want to look at these postings:
Research Engineer, Performance RL (Reinforcement Learning)
— teaching Claude to write correct, fast code for accelerators
Research Engineer, Universes
— long-horizon, ultra-realistic agentic training environments
Research Engineer, Cybersecurity RL (Reinforcement Learning)
— RL for security-relevant coding capabilities
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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bangalore, India
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Brussels, Belgium
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dubai, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Madrid, Spain
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dublin, Ireland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: London, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United Kindom, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Tokyo, Japan
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.
This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
This role is based in Tokyo, Japan. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
- Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
- Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
- Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
- Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem.
- Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments.
- Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers.
- Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling.
- Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices.
SKILLS YOU'LL NEED TO BRING
- 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role.
- Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
- Hands-on experience with APIs and data integration.
- Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan.
- Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration.
- Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
- A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale.
NICE TO HAVES
- Experience working in professional services, preferably in a startup or high-growth environment.
- Experience deploying AI agents autonomously in complex coding or business workflows.
- Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration.
- Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
- Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling.
- Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
- Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
- Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Требования:
- знание теории тестирования
- владение Python или Java на уровне ООП
- опыт с инструментами автоматизации (Selenium, Playwright)
- знание REST, HTTP, requests
- опыт работы с PyTest, JUnit
Обязанности:
- тестирование цифровых решений
- разработка тестовых сценариев
- автоматизация UI и API тестирования
Условия:
- работа в команде профессионалов
- интересные проекты и задачи
- возможность профессионального роста
Задачи:
— Проектирование и реализация новых решений для подключения к рынкам
— Разработка и поддержка высоконагруженных, низколатентных приложений на C++
— Поиск возможностей для снижения задержек и улучшения производительности системы
— Повышение надежности, стабильности и масштабируемости ключевой инфраструктуры
— Поиск и устранение сложных технических проблем и узких мест в производительности
— Взаимодействие с командами для внедрения новой функциональности и улучшения платформы
Требования:
— Опыт коммерческой разработки на современном C++ не менее 3 лет
— Опыт создания или поддержки HFT, высоконагруженных и/или низколатентных систем
— Хорошее понимание алгоритмов, структур данных и шаблонов проектирования ПО
— Знание основ сетевых технологий, включая REST API и WebSockets
— Сильные аналитические и проблемно-ориентированные навыки
Желательно:
— Знание протокола FIX
— Опыт работы с AWS, Kubernetes, Grafana, Kibana или Prometheus
— Опыт разработки на Python
— Знакомство с Kafka
Условия:
— Удаленная работа с последующим переездом в Дубай
О кандидате:
— Проактивность и внимательность к деталям
— Умение эффективно решать технические задачи
— Быстрое освоение новых технологий и концепций
— Умение работать в команде и взаимодействовать с разными отделами
— Ответственность и коммуникабельность
Вакансия предлагает возможность работать в технически сложной среде с прямым влиянием на производительность и развитие торговой платформы в сотрудничестве с опытными инженерами и профессионалами в области трейдинга.
Location: Rotterdam, Netherlands
About the Role
The company is looking for an Engineering Manager to lead the Back Office & Integration squad. This is a dedicated people-management and hands-on technical leadership role — it is not a Tech Lead or Senior Software Engineer position. You will have direct line-management responsibility for a team of 4 to 8 engineers, taking full ownership of their performance, professional growth, and delivery.
The company develops a fast-growing travel management platform tailored specifically for the maritime, aviation, and energy sectors. Headquartered in Rotterdam with a team of ~200 people, the company builds mission-critical software that keeps complex global industries moving.
In this role, you will balance approximately 60% people management and delivery with 40% hands-on technical work, tackling complex architectural tasks and conducting code reviews.
Key Responsibilities & People Management
Line Management. Directly manage a team of 4–8 intermediate to senior engineers (7+ years of experience).
Performance & Growth. Conduct regular 1-on-1s, lead performance reviews, and foster career development within your team.
Hiring & Firing. Hold active input and decision-making responsibility for recruitment, team expansion, and offboarding.
Accountability. Take full ownership of your team's delivery and culture, standing by your team when challenges or mistakes arise.
Technical Contribution (~40%). Solve complex engineering problems, lead code reviews, and drive architecture decisions using modern .NET technologies.
Requirements
Must-haves
Recent People Management Experience. Active experience in a direct line-manager role within the last 3 years.
(Note: Mentorship, code reviews, or acting as a Tech Lead without direct people management do not qualify)
.
Proven experience managing mid-to-senior engineers (7+ years of domain experience).
Strong, active commercial experience with C#, .NET, PostgreSQL, and SQL within the last 5 years.
Ability to work remotely initially with a mandatory agreement to relocate to the Netherlands after 4 to 6 months (Full visa sponsorship and relocation support provided), willingness to start on a fixed-term contract during the initial trial period.
Technical Evaluation & AI Expectations
During the technical selection process, candidate AI usage will be evaluated. While AI is welcomed as a productivity tool, using AI merely as a basic search engine/shortcut for fundamental engineering problems is considered a reject signal.
Self-Rejection Criteria (Please do not apply if):
You are primarily looking for an Individual Contributor (IC), Tech Lead, or purely advisory role without direct line management responsibilities.
You are looking for a permanent contract from Day 1 without an initial fixed-term/trial period.
You are unwilling or unable to relocate to the Netherlands within 4 to 6 months.
You have not actively used C# / .NET as your primary tech stack within the last 5 years.
Benefits
Conditions
Salary:
€7,000 – €8,000 gross/month (remote salary budget of €5,500 – €6,000 gross/month)
Contract:
Full-time, permanent employment
Work format:
Hybrid.
Benefits:
Hybrid work from the Rotterdam office
Work-life balance policy
Growth at the intersection of travel, finance, and engineering
Municipality parking card (for office employees)
High autonomy, direct impact on enterprise-grade software, and supportive leadership.
Selection Process
Stages:
Recruiter screening
Short Candidate Survey (management & expectations alignment)
Combined HR & Technical Interview (45–60 min)
Final Leadership Interview
Interview language:
English
Location: Cairo, Egypt; Alexandria, Egypt
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Lisbon, Portugal; Porto, Portugal
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link.
We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles.
Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required.
IN THIS ROLE YOU WILL
Master the Sentry Ecosystem & Support Elite Developers
- Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments.
- Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability.
- Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments.
- Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes.
Engineer Agentic Operations (The Scaling Engine)
- Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions.
- Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely.
- Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously.
- The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine."
YOU’LL LOVE THIS JOB IF
- You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort.
- You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
- You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next.
- You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem.
QUALIFICATIONS
- 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems.
- Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories.
- Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database.
- AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention.
- Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI.
BONUS QUALIFICATIONS
- Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries.
- Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Canada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
San Francisco, CA | New York City, NY
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.
Rotterdam, Netherlands; Ability to work remotely initially with a mandatory agreement to relocate to the Netherlands after 4 to 6 months (Full visa sponsorship and relocation support provided), willingness to start on a fixed-term contract during the initial trial period
