Location: United States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon
Workplace: Remote
ROLE SUMMARY
The Senior Developer Success Engineer - West will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience.
WHAT YOU'LL DO
- Be a keen learner:
- At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases.
- Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning.
- Be a passionate problem solver:
- If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role.
- As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users.
- You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale.
- Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way!
- Be a great communicator:
- As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability.
- Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test).
- You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales.
WHAT YOU'LL BRING
- Reside within the Pacific time zone (United States)
- 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript.
- Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker).
- Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues.
- Minimum of one year experience in an internal or external customer-facing role.
- Passion for helping others regardless of who they are or how they act.
- Experience working with or as part of remote teams.
- Strong written and verbal communication skills.
- Seek to understand first, lead with data, and rely on facts.
NICE TO HAVE
- Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc.
- Experience with security certificate management and implementation.
- Ability to understand use cases and translate them into Temporal design decisions and architecture best practices.
- Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
УдалённоseniorUnited States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon; Reside within the Pacific time zone (United States)
Location: San Francisco, CA | Seattle, WA
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
Anthropic's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference).
Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture.
Responsibilities
Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution
Run multiple large programs simultaneously across infrastructure, networking, and the API layer
Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end
Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view
Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence
You may be a good fit if you
Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs
Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them
Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost
Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level
Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear
Have excellent written and verbal communication skills, with the ability to influence without authority
Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably
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:
$290,000
—
$435,000 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.
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: Los Angeles, United States
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Manufacturing Engineer – Effectors
An advanced aerospace and defense technology company is seeking a hands-on Manufacturing Engineer to help scale next-generation interceptor and autonomous defense systems from prototype development into high-rate production.
This role sits at the intersection of product engineering, manufacturing strategy, and production execution. The ideal candidate will bring strong Design for Manufacturing & Assembly (DFMA) experience, a deep understanding of producibility, and practical experience scaling hardware from low-volume development into repeatable, cost-optimized manufacturing environments.
This is a highly collaborative and hands-on position for someone who enjoys working directly with hardware, influencing design decisions early, and helping build manufacturing capability from the ground up.
Responsibilities
Design for Manufacturing & Assembly (DFMA)
Lead DFMA reviews throughout concept development, design reviews, prototyping, and production readiness phases
Influence hardware designs for manufacturability, scalability, cost efficiency, and assembly optimization
Evaluate tolerance stack-ups, GD&T strategies, joining methods, and assembly flow
Help simplify part counts, interfaces, fastener strategies, and production processes
Develop assembly sequencing approaches optimized for throughput and takt time
Support material and process selection decisions with a focus on scalable production
Producibility & Production Engineering
Perform producibility assessments, process capability evaluations, and yield analysis
Develop manufacturing plans, work instructions, routing flows, and MBOM structures
Support make-versus-buy decisions alongside supply chain and operations teams
Identify tooling, fixture, and capital equipment requirements needed for scale-up
Analyze bottlenecks, cycle times, and production rate sensitivities
Drive process improvements focused on throughput, quality, and cost reduction
Prototype & Transition-to-Production Support
Support manual prototype builds, assembly activities, and early production efforts
Provide hands-on troubleshooting support during pilot builds and ramp activities
Participate in root cause investigations and corrective action implementation
Support First Article Inspection (FAI), qualification efforts, and production validation
Collaborate closely with design, quality, supply chain, and test engineering teams
Assist with supplier readiness, manufacturing transfers, and production scaling initiatives
Continuous Improvement & Factory Scaling
Develop scalable manufacturing strategies for high-rate production environments
Implement automation, poka-yoke, and error-proofing concepts where appropriate
Support MES, ERP, and PLM manufacturing workflows
Analyze yield, cost, rework, and throughput metrics to improve manufacturing performance
Help establish long-term production infrastructure and scalable manufacturing operations
Qualifications
Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related STEM field
5+ years of experience in aerospace, defense, automotive, robotics, semiconductor, or other high-rate manufacturing environments
Strong DFMA and producibility engineering experience
Experience transitioning hardware from development/prototype phases into production
Working knowledge of:
GD&T (ASME Y14.5)
Tolerance stack-up analysis
Manufacturing process capability concepts (Cp/Cpk)
Root cause methodologies (8D, RCCA, Fishbone, etc.)
Experience developing:
Manufacturing documentation
MBOMs
Work instructions
Process flows
Production routing sequences
Proficiency with CAD tools such as SolidWorks, Creo, CATIA, or similar
Ability to work hands-on in fast-paced development and production environments
U.S. citizenship required; ability to obtain and maintain a DoD security clearance required
Preferred Experience
Missile, interceptor, UAV, autonomous system, or aerospace hardware manufacturing
High-rate production scaling experience (100k+ units/year environments strongly valued)
Startup or greenfield manufacturing build-out experience
Automated assembly systems or robotics integration
Composites, harness integration, or electromechanical assembly experience
Experience with PLM, MES, or ERP manufacturing systems
Experience conducting Manufacturing Readiness Level (MRL) assessments
Exposure to contract manufacturing, supplier industrialization, or production transfer activities
What Makes This Opportunity Unique
This role offers the opportunity to help build a manufacturing capability from the ground up inside a rapidly scaling aerospace and defense environment.
The team is looking for engineers who can bridge product development and manufacturing execution — people who understand not only how to design hardware, but also how to build it efficiently, repeatedly, and at scale.
You’ll have significant ownership early, working directly with prototype hardware today while helping shape long-term production strategy for future high-rate manufacturing operations.
Additional Information
Competitive compensation and equity package
Comprehensive healthcare coverage
401(k) matching
PTO flexibility
Relocation assistance may be available
Full-time onsite collaboration environment
U.S. citizenship required due to security and export control requirements
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
To learn more or express interest, connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Salary: $110,000 – $160,000 / year
Location: Paterson, New Jersey
ABA Paraprofessional / Registered Behavior Technician (RBT) / Behavior
Technician (BT) - New Jersey
Location
: Paterson, NJ
Salary
: $25.00–$28.00 per Hour
Part-Time (See Schedule Below)
Join a Team That Makes a Meaningful Impact!
Licensed Behavior Analyst Professional Services (LBAPS) is excited to welcome a compassionate and motivated Registered Behavior Technician (RBT) or Behavior Technician (BT) to provide ABA services to a 14yo child in Paterson, NJ. This is an incredible opportunity for someone who loves working with children and is eager to make a lasting difference in the lives of individuals with autism and developmental disabilities!
Schedule
:
Monday: 3:00PM - 5:00PM
Tuesday: 3:00PM - 5:00PM
Wednesday: 3:00PM - 5:00PM
Thursday: 3:00PM - 5:00PM
Friday: 3:00PM - 5:00PM
Responsibilities:
Provide one-to-one ABA therapy services with enthusiasm!
Implement individualized treatment plans developed by a BCBA with dedication!
Teach communication, social, behavioral, play, and daily living skills in a fun and engaging way!
Collect data and document session progress accurately!
Collaborate with caregivers and the clinical team to ensure the best outcomes!
Maintain professionalism and confidentiality at all times!
Qualifications:
High School Diploma or GED required
Experience working with children preferred
RBT Certification preferred but not required
Strong communication and interpersonal skills
Reliable and dependable
Ability to pass required background screenings
Why Join LBAPS?
- Competitive Pay: $25.00–$28.00 per hour
- Flexible and Consistent Schedule
Ongoing BCBA Supervision and Support to help you grow!
Company-Sponsored RBT Training Available to enhance your skills!
- RBT Certification Reimbursement Available to support your professional journey!
Career Growth Opportunities to advance your career!
Supportive and Collaborative Team Environment that values your contributions!
Apply Today!
If you are passionate about helping children succeed and are looking for a rewarding opportunity in ABA, we would absolutely love to hear from you!
Location: United Kingdom
Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it.
So you’re interested in becoming a Client Partner? Let's dive into what that means:
This role helps to build high-value, long-term relationships with clients. From winning new clients through to growing existing clients you will focus on delivery indispensable client relationships and performance. You represent Brainlabs as a ‘window’ through which excellent strategy, planning and media solutions are delivered. You run the client account with flawless execution, being a key stakeholder for the client. You deliver high quality client delivery and responses and commercial success for Brainlabs.
In this role you will:
Pitch and help win new clients in your area of sector/vertical expertise.
Help deliver strategic client growth plans for your clients, growing additional client revenue by up/cross-selling Brainlabs solutions, products and services, tailored to your client vertical.
Understand your clients business and ensure the SOW is fulfilled.
Exercise judgement in creating solutions for clients.
Develop your portfolio of client case studies and articles promoting Brainlabs solutions.
Actively anticipate client challenges and build tailored strategy, planning and activation solutions.
We’re looking for someone who:
Has significant experience of delivering full service strategy, planning and activation solutions to clients.
Has a media agency background.
Has proven client leadership skills and are already be a trusted advisor to a number of clients.
Has applied knowledge of how marketing/media effectiveness links directly to business growth and financial success for clients.
Is a great storyteller and presenter with proven pitch experience.
Is a brilliant communicator, relationship builder and capable of translating challenges into real media solutions.
Is a natural problem solver who enjoys providing solutions for clients.
Understands full end-to-end workings of a full-service media agency and how component parts work to deliver an integrated solution.
And this is what success looks like in the role:
You will live our culture code every day!
You’ll become an indispensable trusted, strategic adviser to your clients.
Award wins for your client solutions
Minimum 7+ TRR scores or CSAT
Internal profitability metric hit such as DLM, revenue targets
A growing portfolio of revenue across your client or portfolio of clients
Evidence of broad revenue sources for your client via multiple Brainlabs products
Increasing profile in the media world in your sector/marketing prompting Brainlabs and your client success
Be revenue hungry and pitch successfully
Make your client stakeholders famous and successful!
What happens next?
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.
A note on our offices:
We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week.
Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!
For details regarding our data processing activities, please refer to our
Candidate Privacy Notice
Protect Yourself from Job Scams:
We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to
security@brainlabsdigital.com
. We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.
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: Global
Workplace: Remote
Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Railway now powers workloads for millions of builders, and the systems underneath — usage metering, billing and payments, fraud and abuse protection, background workers, and the data pipelines that feed them all — have to scale every week.
You'll be the person who architects that stack: making it fast, correct, and trustworthy at a volume that keeps growing. If you're looking to scale the backbone of an operating system for builders, we'd love to talk with you!
Want to learn about our work culture? Here is a multi-part blog series that will help you see the unique ways our team works (Parts 1 https://blog.railway.app/p/how-we-work, 2 https://blog.railway.app/p/how-we-work-volume-ii, 3 https://blog.railway.app/p/how-we-work-volume-iii, and 4 https://blog.railway.com/p/how-we-work-volume-iv).
ABOUT THE ROLE
This is a backend-leaning role focused on scaling systems. Billing and fraud will be a focus, but your remit spans every high-throughput system at Railway — workers, queues, event pipelines, and the databases underneath them. You'll own your work end-to-end, including when a feature reaches the UI.
For this role, you will:
- Architect and scale the pipelines that turn raw usage into accurate, real-time billing — metering, aggregation, rating, and invoicing across millions of events, from ingestion in ClickHouse to the rating engine.
- Build payment flows that are correct under concurrency and partial failure: idempotent charges, retries, reconciliation, and clean handling of provider edge cases (Stripe and beyond).
- Develop fraud and abuse detection — signal collection, real-time scoring, automated mitigation — that protects platform margin without getting in legitimate users' way.
- Scale the systems everything else depends on: Postgres under heavy write load, Node.js services under pressure, and long-running workflows orchestrated with Temporal where exactly-once semantics and durability actually matter.
- Build TypeScript + GraphQL APIs where correctness and auditability are non-negotiable.
- Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success and scaling it further.
- Contribute to our open-source repositories (CLI, Typescript SDK, Railpack, etc.) — Rust experience, or the desire to learn it, helps here.
- Be oncall from time to time.
Some projects this team takes on:
- Re-architect billing end-to-end: per-second usage metering at platform scale, idempotent payment processing that survives provider outages without double-charging, and credit, prepayment, and enterprise-invoicing models that hold up under audit.
- Stand up a fraud-detection service that scores signups and deployments in real time and automatically throttles abuse (crypto mining, free-tier farming, stolen cards).
- Scale our Temporal workloads to orchestrate workflows across millions of deployments.
- Build internal tooling that gives teams across Railway a trustworthy, real-time view into the systems they depend on.
This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome.
ABOUT YOU
- An ability to autonomously lead, design, and implement backend systems where correctness, consistency, and auditability are first-class requirements.
- A track record of scaling systems — you've taken a pipeline, service, or database that was falling over and made it handle 10x, and you know which tools to reach for (and when polling stops being enough).
- Deep expertise in Postgres and relational data modeling — you reach for the right consistency guarantees, understand the cost of getting them wrong, and know how Postgres itself behaves at scale.
- Strong working knowledge of Node.js internals — the event loop, memory behavior, and what to do when a service degrades under load.
- Experience managing complex asynchronous and long-running backend jobs, ideally with a workflow engine like Temporal, for things like billing runs or payment reconciliation.
- Familiarity with the realities of money movement: payment providers, idempotency, retries, reconciliation, and their failure modes. Direct billing, payments, or fraud experience is a strong plus.
- A security and abuse-aware mindset — you instinctively think about how a system can be gamed, and you design accordingly.
- A desire to be a part of the entire project development process, from research gathering and planning, to implementation and monitoring.
- Great written and verbal communication skills for expressing ideas, designs, and potential solutions in a mostly-asynchronous manner.
We value and love to work with diverse persons from all backgrounds.
THINGS TO KNOW
For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages.
- We're globally distributed—and getting more so. Stuff is always happening somewhere.
- We don't expect you to be online all the time, but you'll need to be diligent about your boundaries — your end of day will overlap with someone else's start.
- We're a small, high-ownership team that cares deeply about doing exceptional work. We're scaling quickly, which means we rely on leverage—systems over coordination, judgment over process. Expect ambiguity and a fast-moving environment.
- You'll own real outcomes. That means making decisions, not just executing—and owning the success, or failure, that comes with them.
BENEFITS AND PERKS
At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.com/careers.
Beyond compensation, there are a few things that we believe make working at Railway truly unique:
- Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work.
- Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company.
- Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor "busywork" and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions.
- Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there.
HOW WE HIRE
No tricks. No surprises. Here's the entire process.
1 — Talk with us about the role
This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go.
2 — Work on a small project to discuss in the interview
Asynchronously design a system that scales. You choose the domain — pick whichever shows your thinking best:
- A usage metering and billing pipeline that meters CPU/RAM for millions of workloads and bills accurately (you may depend on third parties such as Stripe), or
- A stream-processing system that ingests high-cardinality observability events in real time, or
-
Whatever you pick, come ready to defend the architecture end-to-end. We'll dig into:
- Polling vs. stream processing, and how you avoid losing data when streaming
- Correctness under concurrency and partial failure: idempotency, retries, reconciliation, what happens when a step fails halfway through
- How you handle cardinality, and which tools you lean on and why
- The scalability of the things you depend on — what happens when Postgres becomes the bottleneck
- Interview Structure to expect (60 Minutes):
- Prework (submitted before your interview): Your design
- 0–5 minutes: Introductions
- 5–35 minutes: Walking through the design and how you'd extend it — new failure modes, 10x load, a fraud signal
- 35–50 minutes: Noodling on technology, data modeling, and how you think about scale, money-movement, and abuse
- 50–60 minutes: Time for you to ask your interviewers questions
You can, and SHOULD! ask us questions ahead of time. Ask away!
3 — Review your solution with the Team
You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team.
Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution.
4 — Meet the Team
You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company.
Looking for: How you work with the rest of the team and communicate.
5 — Chat with CEO
Sit down with our founder and CEO for 30 minutes. This is a 1:1, open ended conversation.
6 — Offer call
Finally, we will present the offers, hammer out the details about your position, tee up onboarding, and start our journey together.
Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.
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.
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When in doubt, feel free to reach out through our official website.
Location: San Francisco
Workplace: OnSite
🧠 ABOUT LEGION HEALTH
At Legion Health https://legionhealth.com/, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.
Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens.
Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients.
Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV.
Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.
📍 ROLE LOGISTICS
- Job Type: Full-Time
- Role Type: Product / Technical Product Management / Consumer AI / Patient Experience / Retention
- Ideal Experience Level: 5+ years
- Location: San Francisco
- US Visa Sponsorship: Yes
🚀 THE OPPORTUNITY
Legion is hiring a Founding Product Manager, Consumer + AI to own the consumer product experience that turns AI-native care delivery into something patients can understand, trust, use, and return to.
This is not a technical program management role, an enterprise roadmap coordinator role, or a “growth PM” role with healthcare language added on top. You will own real product surface area across Legion’s patient journey: onboarding, intake, eligibility, scheduling, visit prep, provider matching, care-plan clarity, medication workflows, follow-up, renewals, messaging, reactivation, and the moments that make a patient feel safe enough to come back.
The right person is technical enough to reason through APIs, data models, event instrumentation, AI workflows, edge cases, system constraints, and engineering tradeoffs, but consumer-minded enough to know that the best product often feels obvious, calm, and human. You should be able to sit with a patient problem, map the underlying clinical and operational workflow, write a crisp product spec, prototype the interaction, instrument the funnel, partner deeply with engineering and design, ship the feature, and decide whether it actually improved care.
Legion is a modern consumer AI software company that happens to deliver medical care. That means the product bar is closer to Anthropic, OpenAI, Character.AI http://Character.AI, Replit, Oura, WHOOP, Duolingo, Chime, Monarch, and the best consumer health companies than to traditional healthcare software. We need someone who can bring that level of product taste, technical speed, and retention thinking into a regulated, high-trust category where quality and safety matter.
This is a high-ownership IC role with founder-level visibility and a direct path to Head of Product. You will work directly with engineering, design, clinical, operations, growth, data, compliance, and the founders to turn messy real-world care delivery into simple, powerful product experiences.
✅ RESPONSIBILITIES AND DELIVERABLES
- Own core patient-facing product surfaces across the full consumer journey: discovery, onboarding, intake, insurance/payment clarity, scheduling, provider fit, visit prep, visit completion, follow-up, care-plan adherence, refills, renewals, messaging, support, retention, and reactivation.
- Translate complex clinical, operational, regulatory, and AI workflows into simple consumer experiences that reduce anxiety, increase clarity, and help patients know exactly what to do next.
- Build durable product systems, not one-off features: patient timeline, care status, tasking, reminders, notifications, escalation paths, asynchronous messaging, support deflection, eligibility logic, provider availability, and follow-up workflows.
- Partner with engineering to scope and ship technically sound products across web, mobile-responsive experiences, backend workflows, APIs, third-party integrations, event pipelines, data models, and AI-assisted workflows.
- Define and own product metrics for your surface area, including activation, intake completion, scheduling conversion, first-visit completion, time to care, repeat-visit rate, renewal completion, retention, NPS/CSAT, patient confusion, support burden, no-shows, and ops cost per visit.
- Use PostHog, SQL, analytics tools, customer support data, operational dashboards, and qualitative research to identify patient friction, prioritize product bets, and measure whether shipped work moved the right metrics.
- Design and run structured experiments where appropriate, while knowing when a healthcare product needs principled product judgment, clinical input, and quality thresholds instead of pure A/B testing.
- Own product specs, user stories, acceptance criteria, rollout plans, QA checklists, experiment plans, metric definitions, launch notes, and post-launch readouts with enough clarity that engineering, clinical, ops, and growth can all execute cleanly.
- Prototype quickly using Figma, v0, Lovable, Replit, Cursor, Codex, Claude Code, lightweight scripts, no-code tools, or whatever helps you make product ideas concrete before engineering invests real cycles.
- Ship production PRs regularly. This is a product role—not a software-engineering role—but you are expected to work directly in the codebase and open production-quality PRs for well-scoped changes such as instrumentation, internal tools, workflow logic, UI and copy improvements, prototypes, and small fixes. You should be comfortable testing, reviewing, and safely rolling out your work in close partnership with engineering.
- Partner with clinical and operations teams to deeply understand real patient and provider workflows, including edge cases: missed appointments, medication refill timing, insurance confusion, state/provider availability, pharmacies, clinical escalations, patient safety concerns, handoffs, and support loops.
- Partner with compliance, legal, privacy, and clinical leadership to design AI-enabled product experiences with appropriate safeguards, human review, auditability, expectation-setting, and patient trust.
- Improve Legion’s AI product layer: patient-facing AI interactions, AI-assisted intake, personalization, care navigation, workflow automation, internal copilots, clinical/ops review queues, and evaluation loops that make automation safer and more useful over time.
- Create product feedback loops from patient conversations, support tickets, provider feedback, drop-off data, session recordings, funnel analytics, and clinical/ops metrics so the roadmap is grounded in real behavior, not vibes.
- Work with growth and brand to ensure acquisition promises match the actual product experience, so the patients we bring in understand what Legion does, feel properly oriented, and are more likely to stay in care.
- Raise the product craft bar across Legion: clearer flows, better defaults, fewer dead ends, tighter copy, sharper state handling, cleaner mobile experiences, stronger instrumentation, faster iteration, and more rigorous launch quality.
🏆 YOU’LL BE SUCCESSFUL IF YOU…
- Make Legion’s patient experience feel consumer-grade: fast, clear, calm, trustworthy, and easy to return to.
- Improve the core retention loop of care: more patients complete intake, make it to their first visit, understand the next step, follow through on care plans, complete renewals when eligible, and come back when they need help.
- Turn messy clinical and operational workflows into product systems that scale without making patients feel like they are navigating a maze.
- Ship AI-enabled experiences that feel useful and safe, with clear boundaries around what AI does, what doctors do, and when humans review or intervene.
- Build a measurement system that makes the patient journey legible: every meaningful step has an owner, a metric, and a path to improvement.
- Reduce patient confusion and support burden by improving the product itself, not just by adding more manual operations.
- Help Legion move faster without becoming sloppy: strong specs, smart scoping, crisp decisions, high-quality launches, and honest post-launch learning.
- Earn trust from engineering because you understand technical constraints and tradeoffs, and from clinical/ops teams because you understand the reality of care delivery.
- Create product experiences that are emotionally intelligent without being soft, technically sophisticated without being confusing, and ambitious without being reckless.
- Help build the product foundation for a company that can deliver world-class medical care at dramatically lower cost.
🧰 IDEAL BACKGROUND AND SKILLS
- 5+ years of product management, product engineering, technical founder, or equivalent experience, with meaningful ownership of consumer-facing web or mobile products.
- Strong consumer product instincts. You have shipped products that people actually use, understand, trust, and return to, not just internal tools or enterprise workflows.
- Technical fluency across software product development. You can reason through APIs, data models, event instrumentation, backend workflows, frontend states, AI workflows, latency, failure modes, privacy constraints, and engineering tradeoffs.
- Hands-on technical curiosity. You can navigate API docs, logs, event payloads, session recordings, agent traces, and enough of a codebase to understand what is really happening without pulling engineers into every first-pass investigation.
- Experience partnering deeply with engineering and design from problem definition through launch: discovery, PRDs/specs, UX flows, technical scoping, sprint planning, QA, rollout, metric tracking, and iteration.
- Strong analytical ability. You are comfortable with SQL or equivalent data exploration, product analytics tools such as PostHog, Amplitude, Mixpanel, Looker, Hex, or Mode, and you can define useful metrics without waiting for someone else to hand you a dashboard.
- Track record improving engagement, retention, activation, conversion, habit formation, lifecycle, or core experience metrics in a consumer product.
- High product taste and UX judgment. You care about copy, information architecture, interaction design, empty states, error states, mobile responsiveness, notification timing, trust cues, and the emotional texture of the user experience.
- AI-native working style. You already use tools like Codex, Claude Code, Cursor, Replit, Lovable, v0, ChatGPT, Claude, Figma AI, or similar tools to prototype, analyze, write, synthesize, debug, and move faster.
- Comfort working on AI-enabled products where the PM must think about prompt behavior, user expectations, evaluation, quality thresholds, fallback paths, human review, auditability, and safety.
- Healthcare experience is a strong plus but not required. Experience in another trust-sensitive consumer category such as fintech, insurance, family/kids, identity, privacy, marketplaces, wellness, or regulated consumer products is also valuable.
- Startup operating mode: high agency, low ego, high urgency, strong writing, strong judgment, strong follow-through. You can create clarity without waiting for a perfect org chart.
- Ability to work cross-functionally with clinical, operations, support, compliance, legal, growth, data, design, engineering, and founders without losing the thread of the user problem.
- Excellent writing. You can write crisp strategy docs, product specs, launch plans, decision memos, patient-facing copy, and post-launch analyses.
- Bias toward building. You are happiest when you are close to the product, close to users, close to the data, and shipping.
- Bonus: experience at or near companies like Anthropic, OpenAI, Character.AI http://Character.AI, Replit, Cursor, Perplexity, Notion, Duolingo, Oura, WHOOP, Chime, Monarch Money, Rocket Money, Acorns, Function Health, Nourish, General Medicine, Circle Medical, Tava Health, Headway, Rula, Midi Health, Evvy, Ro, Hims & Hers, Thirty Madison, Levels, Superpower, or another breakout consumer product with high craft, high trust, and fast iteration.
💰 COMPENSATION & BENEFITS
- Salary: $190,000 – $290,000
- Early-Stage Equity: Meaningful ownership in a category-defining company.
- Health Insurance: Medical, dental, and vision benefits
- Additional Perks: In-person retreats, meal stipends, AI/product tooling budget, learning stipend, home office support
- Time Off: Flexible, unlimited vacation policy
- Work Hours: Flexible
- Work Setup: In-person in San Francisco
- Impact: Build the product layer for a company trying to change health care forever.
- Autonomy and Learning: Own major patient-facing product surfaces end-to-end, from product strategy through technical scoping, launch, measurement, and iteration.
- Growth Opportunities: As we scale, this role can grow into Staff Product Manager, Product Lead, or Head of Product scope.
📝 HOW TO APPLY AND HIRING PROCESS
- Apply here: https://jobs.ashbyhq.com/legionhealth/0ffded39-1242-4a35-9bc3-0e5b0ce22276
- Overview of our hiring process:
1. Resume + Application Screen
2. Founder / Product Interview
3. Technical Product Deep Dive
4. Cross-Functional Interviews with Engineering, Design, Clinical/Ops, Growth, and Founders
5. Professional Reference Checks
- Estimated time-to-hire: 2 weeks
- Start date: ASAP
- Hiring manager: Arthur MacWaters
🤝 EQUAL EMPLOYMENT OPPORTUNITY
Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.
Location: London, UK
Workplace: OnSite
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As one of the first members of the Business Development team in our London office, you will be focused on building Ramp’s presence in the European market. In this high-velocity, high-impact role, you’ll hunt sales opportunities and quickly qualify, prioritize, and convert expressed interest into high-quality pipeline. Strong execution is critical, but so is strategic thinking.
Our sales organization is looking for someone who is self-motivated and has a natural inclination for selling – a builder who can perform in ambiguity. As part of our early-stage team, you’ll act as the initial point of contact in prospecting and qualifying leads, and help design qualification frameworks that will scale with the team. If you’re eager to learn, embrace challenges and are passionate about playing a key role in defining Ramp’s presence in Europe and accelerating growth in this new market, this role is for you.
What You’ll Do
- Respond to and qualify high-volume inbound leads via multi-channel outreach with urgency and precision
- Source new business opportunities across the United Kingdom/Ireland through outbound prospecting and outreach
- Conduct consultative discovery to understand prospect pain points, priorities, and intent
- Partner closely with Account Executives to on opportunities and support deal expansion
- Maintain accurate and detailed activity, notes, and pipeline data in Salesforce
- Continuously refine talk tracks, objection handling, and discovery techniques based on performance data and feedback
- Maintain accurate and up-to-date records within Salesforce
- Work closely with our GM Europe on highest priority GTM initiatives
What You Need
- Right to work in the UK is required
- AI fluency as a daily habit. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment.
- Strong written and verbal communication
- Dedication to consistent self-improvement
- Self-starter with a high sense of urgency
- Comfortable operating in a fast-paced environment
- Ability to work 5x a week in office, in London, United Kingdom
Nice to Haves
- Fluency in additional European languages
- Experience in a high-growth startup, consulting, VC, IB/PE, or other analytically intensive environments
- Previous experience in a customer-facing, business development, or inside sales role, ideally within a fast-paced environment
- Prior CRM experience (preferably Salesforce)
- Demonstrated ability to build or improve processes or workflows in a prior role
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco, California; New York, New York
Workplace: Hybrid
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:
You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review.
You're the person who turns workforce signals into recruiting strategy — bringing a point of view.
This role may be based in either our San Francisco or New York City offices. 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 recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted.
- Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them.
- Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on.
- Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck.
- Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it.
- Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable.
SKILLS YOU'LL NEED TO BRING:
- Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports.
- Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust.
- Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions.
- Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions.
- AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles.
- Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year.
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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#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.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Austin, US
Atlanta, GA
Denver, CO
Seattle, WA
Toronto, ON
Applications will be accepted until December 01, 2026.
About the Role
Cloudflare operates one of the world's largest and most interconnected networks, spanning 335+ cities across every region of the globe. We are looking for a Senior Network Engineer to join our Edge Network & Backbone team — someone who brings deep operational experience, an AI-first mindset, and the instinct to mentor and lift the engineers around them. In your first year, this role is deliberately hands-on: you'll be in the operational trenches, owning complex faults, driving capacity work, and setting the standard for how we run the network. Beyond that, you'll help shape how the team works — building AI-enabled tooling and agents that reduce toil, accelerate troubleshooting, and make the whole team more effective. This is a North American based role, but you'll be joining one global team: the sun never sets on Cloudflare, and our engineers hand off work across every time zone to keep the network running around the clock.
Responsibilities
Own the technical operation, engineering, and architecture of Cloudflare's global network, including planning, installation, and day-to-day management of hardware and software across the edge and backbone.
Serve as a hands-on operational anchor for the team — diagnosing and resolving complex network faults, owning incident response end-to-end including on-call rotation, and contributing to post-incident reviews to drive continuous improvement.
Build production AI agents for network operations. Design, ship, and own LLM-powered tools that integrate with our operational systems of record via tool calling. Ship them with evals, observability of agent decisions, cost tracking, and human-in-the-loop checkpoints where autonomous action carries blast radius.
Apply AI to accelerate troubleshooting. Use and extend our internal AI platform (Workers AI, AI Gateway) to speed up root cause analysis, pattern recognition across faults, and operational decision-making under pressure.
Architect network improvements that lower latency, reduce packet loss, and increase scale — optimising end user experience across Cloudflare's global infrastructure.
Mentor and develop junior engineers on the team, setting technical standards, conducting structured troubleshooting sessions, and building a culture of operational excellence and continuous learning.
Collaborate with internal teams on cross-functional network projects, contributing to design documentation, SOPs, and knowledge base articles that outlast any individual contributor.
Desirable Skills, Knowledge, and Experience
Proven track record in large-scale network engineering and operations.
Proficiency in Python and/or TypeScript and/or Go sufficient to build, debug, and maintain agent code, not just to glue scripts together.
Working knowledge of agent integration patterns: function/tool calling, MCP or equivalent, retrieval over operational corpora (runbooks, postmortems, change history), and prompt iteration with evals.
Experience reasoning about agent failure modes in production: hallucination guards, fallback paths, rollback, blast-radius control.
Deep expertise in BGP and anycast routing, with the ability to diagnose and resolve complex routing issues in a production environment.
Strong understanding of MPLS and Segment Routing.
Proficiency across multiple network vendor operating systems (Juniper, Cisco, Arista, or similar).
Experience with network automation frameworks such as SaltStack, Ansible, or equivalent, and a strong instinct for solving operational problems through code.
Ability to prioritise effectively and lead calmly when faced with high-pressure scenarios.
An effective communicator who can adapt their style to any audience — whether guiding a junior engineer through a fault or presenting a network architecture decision to senior leadership.
Bonus Points
Shipped LLM-powered tooling into production use by a team other than your own, with measurable operational impact.
Professional-level network certification (JNCIP, CCNP, or equivalent or higher).
Experience with optical transport technologies such as CWDM and DWDM.
Linux system administration.
Experience writing network configuration and design documentation at an architectural level.
Compensation
Compensation may be adjusted depending on work location.
For Colorado based hires: Estimated annual salary of $168,000 - $231,000
Washington, based hires: Estimated annual salary of $172,000 - $237,000.
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Germany; Munich; Zurich; Berlin
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
ABOUT THE ROLE
Synthesia is seeking Enterprise Account Executives to join our Enterprise team. Utilising your experience in methodological, value-driven sales environments, you will land and expand Enterprise logos (1k - 20k employees) in Germany. For this role, you must speak native-level German and have sold to Enterprise logos in DACH.
Over the last year, we have grown by 150% in DACH. There is strong demand for our solution, and we're seeking high-performing, value-led sellers who can win net-new logos whilst expanding our existing customer base in this segment.
We aspire to create a world-class sales organisation where the most talented, relentless salespeople can thrive. If you’re someone excited by making an impact and hungry for opportunity, then we’d love to hear from you.
WHAT YOU’LL BE DOING…
- Driving Annual Recurring Revenue (ARR) through landing and expanding Enterprise customers in DACH.
- Ensuring a robust pipeline of sales opportunities for your target accounts through direct and teamed prospecting.
- Be accountable for accurate forecasting, regular quarterly revenue delivery, and the implementation of agreed account plans.
- You will develop subject matter expertise in how strategic organisations can revolutionise their business communications and materials through AI-video.
- Collaborate closely with the Customer Success team on account adoption, retention and expansion.
We’d love to hear from you if you have…
- Experience in b2b SaaS sales, landing and expanding logos with between 1k & 20k employees.
- Strong experience in outbound prospecting into new accounts and conducting product demonstrations in a value-based sales environment.
- The ability to identify client pain points and develop unique and compelling value propositions focused on delivering ROI.
- Experience in reputable, value-driven, methodological sales environments, ideally using MEDDPICC or similar.
- Strong business acumen and examples of how you’ve built business value and champions from the ground up.
- You've experienced rapid growth and understand the opportunities and challenges that it can bring - and you thrive in it!
- Executive presence tied with exceptional verbal and written German & English.
We’d be particularly excited if you have…
- Extensive MEDDPICC & Command of the Message training.
- Experience and interest in AI.
Location
We have a strong preference for sellers based in Berlin, Zurich or Munich, but are open to remote.
Culture
At Synthesia, we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21
UK benefits (for region-specific, please see here https://synthesia.notion.site/Benefits-262c16d22bf181b28b68d963d0ec706b?source=copy_link)
- A competitive salary + stock options
- 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)
- You will join an established company culture with optional regular socials and company retreats
- Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary caregivers to 5 weeks of full pay
- You can participate in a generous recruitment referral scheme if you help us to hire
- A working from home stipend
San Francisco, CA | Seattle, WA
Los Angeles, United States; Relocation assistance may be available
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.
ОфисSan Francisco; We encourage applicants from all backgrounds to apply
ОфисLondon, UK; Relocation expense coverage to NYC or SF (if needed)
ГибридleadSan Francisco, California; New York, New York
seniorThis is a North American based role, but you'll be joining one global team: the sun never sets on Cloudflare, and our engineers hand off work across every time zone to keep the network running around the clock