Location: Remote
Workplace: Remote
Talkiatry is looking for a Staff Product Designer to shape the future of mental health care experiences across multiple strategic product areas. You'll lead design work spanning our Clinical AI products, patient portal experiences, and design system evolution—helping define how patients interact with psychiatric care in both AI-assisted and human-centered contexts.
In this role, you'll divide your time across several high-impact areas: designing AI-powered experiences that support patients between sessions, improving core patient portal flows that help people access and manage their care, and serving as a craft leader who modernizes our design system and raises the visual quality bar across all Talkiatry products.
As a Staff designer, your impact will extend beyond any single product area. You'll work closely with product, engineering, clinical, and AI partners across multiple teams, bringing both deep craft and strategic thinking to ambiguous problems. You'll help establish interaction patterns for emerging technologies while also refining foundational experiences that serve patients every day.
We're looking for a designer who is energized by variety and ambiguity, capable of moving between AI-enabled experiences and core product flows, and equally passionate about interaction design, systems thinking, and exceptional visual craft.
ABOUT TALKIATRY:
Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.
Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.
Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.
YOU WILL:
- Lead product design across multiple strategic areas, including Clinical AI experiences, patient portal flows, and design system evolution.
- Design AI-powered experiences that support patients between scheduled psychiatry sessions, from early concepts through launch and iteration.
- Define how patients interact with conversational AI, helping establish patterns for experiences that may not yet have conventional design precedents.
- Improve core patient portal experiences, including intake flows, appointment management, visit preparation, and other touchpoints that help patients access and navigate their care.
- Translate complex AI capabilities and limitations into intuitive, transparent, and trustworthy product experiences.
- Partner deeply with Product, Engineering, AI/ML, Clinical, and other cross-functional teams across multiple product areas to shape product strategy and determine what we build.
- Prototype and test interaction patterns—from conversational AI flows to traditional web and mobile experiences—to learn quickly and reduce uncertainty.
- Advocate for patient needs while helping teams navigate safety, trust, accessibility, and usability considerations across both AI-powered and traditional product experiences.
- Conduct user research and usability testing to validate design decisions and identify opportunities for improvement.
- Use research, product data, experimentation, and qualitative feedback to continuously improve experiences after launch.
- Bring exceptional interaction and visual design craft to all your work, from early product thinking through highly polished final execution.
- Serve as a senior individual-contributor design leader, influencing product and design decisions across your areas of ownership and beyond.
- Lead the evolution of Talkiatry's design system, defining the next generation of our visual design language and establishing patterns that scale across web, mobile, and emerging interaction models.
- Raise the craft bar across the Product Design team through thoughtful critique, mentorship, collaboration, and high-quality example-setting.
YOU HAVE:
- 7+ years of product design experience, including experience owning complex digital products from discovery through implementation and iteration.
- A portfolio that demonstrates strong product thinking, interaction design, and exceptional visual/UI craft. A portfolio is required for consideration.
- Strong experience designing rich web and native mobile products.
- Experience operating with a high degree of autonomy and leading design within ambiguous or zero-to-one product spaces.
- Experience designing products where trust and transparency are critical to the user experience.
- Strong systems thinking and the ability to design individual experiences while considering the broader product ecosystem.
- Deep understanding of interaction design, information architecture, visual hierarchy, typography, layout, and responsive interface design.
- Strong user research skills with the ability to independently plan and conduct user research, usability testing, and synthesize insights to inform design decisions.
- Experience creating and evolving scalable design systems, or a strong point of view on how systems can improve both product quality and team velocity.
- Strong prototyping skills and the ability to communicate complex interactions before they are fully built.
- Experience collaborating closely with product managers and engineers and contributing meaningfully to product strategy, not just execution.
- Strong communication and storytelling skills, including the ability to explain design rationale, facilitate productive critique, and influence senior cross-functional partners.
- Curiosity about emerging technologies and a willingness to learn through experimentation when established design patterns do not yet exist.
WE'D BE ESPECIALLY EXCITED IF YOU HAVE:
- Experience designing conversational interfaces, chat-based products, voice experiences, or AI assistants.
- Experience designing products powered by AI, machine learning, or large language models.
- Experience establishing interaction patterns for emerging technologies where best practices are still being defined.
- Experience in healthcare or regulated industries.
- Experience helping establish or significantly evolve the visual language of a product or design system.
- Experience designing patient-facing or consumer health products.
This role includes work on emerging AI experiences, but we don't expect candidates to have spent years designing AI products. Genuine enthusiasm for the space, strong foundational product-design skills, and evidence that you can thoughtfully tackle unfamiliar interaction problems matter more than having a particular AI job title on your résumé.
Healthcare experience is not required, but is a plus.
WHY TALKIATRY'S PRODUCT TEAM:
- Make a meaningful impact: Help build products designed to expand access to high-quality mental health care and improve the patient experience.
- Work across the product portfolio: Move between AI-powered experiences, core patient flows, and design system work, with variety and strategic influence across multiple product areas.
- Shape an emerging product space: Work at the intersection of mental health, product design, and AI, where many of the interaction patterns have yet to be invented.
- Join a talented, collaborative team: Work alongside experienced people across design, product, engineering, clinical care, and operations who are motivated by a shared mission.
- Lead design system evolution: Play a central role in modernizing our design system, raising craft standards, and shaping how Product Design grows at Talkiatry.
- Work remotely: This role is remote within the United States.
- Comprehensive benefits: Talkiatry offers medical, dental, and vision coverage, a 401(k) with company match, generous paid time off and company holidays, paid parental leave, and additional employee benefits.
- Keep growing: Develop new skills and expand your impact as Talkiatry and the Product Design organization continue to grow.
- It all comes back to care: We're a mental health company, and the well-being of our patients, providers, and team informs how we work.
Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0.
At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.
We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is hiring a senior
Account Executive
to drive customer acquisition and growth across APJ. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region.
You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment.
This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings.
This role is also a core member of our founding APJ team, currently operating
remotely out of Singapore
.
Your responsibilities will include:
Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets.
Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships.
Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations.
Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes.
Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions.
Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets.
Market presence: Represent Nebius at regional and industry events, webinars, and customer forums.
Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively.
We expect you to have:
10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies.
A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy.
Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies.
Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring.
A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth.
Willingness and ability to travel within the region as needed.
It will be
an added bonus
if you have:
Proficiency in additional regional languages beyond English.
Prior experience in a high-growth or early-stage startup environment.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Задачи:
— Design, develop, and optimize production-grade agentic AI solutions.
— Run meaningful evaluations to improve prompts, model behavior, orchestration, reliability, and performance in production.
Требования:
— Deep expertise in machine learning and applied AI.
— Experience building and deploying production-level AI/ML services.
— Strong software engineering and coding skills.
— Experience developing or optimizing LLM- and agent-based applications.
— Strong knowledge of prompt engineering and optimization.
— Strong knowledge of model evaluation and benchmarking.
— Strong knowledge of AI quality, reliability, and performance measurement.
— Strong knowledge of agent behavior and orchestration.
— Ability to design and run meaningful evaluations and interpret results.
— Experience with APIs, data pipelines, backend systems, and AI platforms.
— Familiarity with modern AI tools, frameworks, and cloud environments.
— Ability to collaborate with platform engineers, product teams, and business stakeholders.
— Strong communication skills and experience delivering maintainable, production-quality solutions.
Плюсом будет:
— Python experience.
— Background as an Applied AI Scientist, AI Engineer, or Machine Learning Engineer.
Условия:
— Own a defined production AI workstream with direct impact on reliability and scale.
— Work closely with an existing platform engineering team on applied AI delivery.
— Focus on production-grade AI implementation rather than purely research-oriented work.
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Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
The Senior Payroll Specialist owns end-to-end Dutch payroll, operated in Nmbrs, and acts as the designated backup for the company’s other international payrolls. This role harmonizes, simplifies, and continuously improves payroll execution and payroll accounting across the company’s Dutch entities, pay groups, providers, and systems. This is to make sure payroll remains accurate, compliant, trusted, and understandable as the company grows without a proportional increase in manual work or risk. As international backup, the role maintains working proficiency in the company’s other country payrolls and provides continuity during peak periods, absences, and year-end.
Your responsibilities will include:
Own end-to-end Dutch payroll execution in Nmbrs across entities and pay groups: monthly and off-cycle runs, holiday allowance, year-end close and annual statements (jaaropgaven), and the payroll calendar; define consistent execution standards that meet Dutch statutory and contractual requirements.
Ensure Dutch payroll tax and social security compliance: wage tax and national insurance contributions (loonheffingen), employee insurance and Zvw premiums, the work-related costs scheme (WKR), timely and accurate loonaangifte to the Belastingdienst, corrections, and resolution of Belastingdienst and UWV correspondence.
Administer regulated and complex pay items accurately: the 30% ruling and other expatriate and cross-border arrangements, equity income (RSU/option) taxation, pension contributions and provider files, sick leave and statutory leave schemes, transition payments and termination settlements, wage garnishments (loonbeslag), and taxable benefits-in-kind.
Run and reconcile shadow payrolls in Nmbrs for internationally mobile employees (inbound assignees, cross-border and remote workers, and outbound Dutch employees with a host-country shadow payroll)
Serve as the designated backup for the company’s other international payrolls: maintain working knowledge of country calendars, providers, and controls, and run or support pay cycles during absences, peak periods, and year-end in coordination with the payroll owners.
Lead root-cause analysis for recurring payroll, accounting, or service failures; design and implement durable fixes.
Drive process harmonization and simplification to reduce manual steps, handoffs, rework, and off-cycle runs; make full use of Nmbrs functionality, integrations, and reporting.
Lead payroll execution during transitions (new entity launches, provider or system changes, restructures/M&A), ensuring continuity and control.
Ensure payroll accounting remains clean as scope changes: consistent journals, accruals, reversals, and reconciliation standards.
Monitor preventative controls by design, including SOX-aligned payroll controls; improve evidence pack quality and audit readiness.
Act as escalation owner for complex or sensitive pay issues; provide authoritative explanations to employees and senior stakeholders.
Partner with HR Ops, Finance, Legal/Compliance, Nmbrs, and international payroll providers to deliver scalable operating models and service quality.
We expect you to have:
At least 7+ years of Dutch payroll experience, including multi-entity scope in complex environments (growth, change, or hybrid in-house/outsourced models).
Hands-on Nmbrs experience is prefer: running payroll end to end, configuring wage components and journal mappings, managing loonaangifte and corrections, and using its reporting and integrations (HRIS, GL, pension and benefits providers).
Deep working knowledge of Dutch payroll compliance: loonheffingen and social security, WKR, the 30% ruling, expatriate taxation and shadow payroll, pension administration, sick leave and statutory leave, termination settlements, and year-end reporting.
Working knowledge of international payroll (running or overseeing outsourced country payrolls) and readiness to act as the designated backup for the company’s other payrolls.
Strong payroll controllership skills: ability to design controls, enforce SoD/approvals, and ensure audit-ready evidence.
Proven capability improving payroll processes (standardization, automation enablement, reducing manual effort and errors) and leading transitions (vendor/system/new entity) with structured planning and issue resolution.
Strong payroll accounting knowledge and experience working with Finance during close and audits.
Excellent stakeholder management; comfortable acting as an escalation owner and payroll authority.
Fluent English and professional working proficiency in Dutch (statutory correspondence, legislation, and provider documentation are in Dutch).
It will be an added bonus if you have:
Dutch payroll qualification (PDL and/or VPS) and/or Nmbrs certification.
Experience with international payroll providers or aggregators and multi-country operating models (SLAs, KPIs, remediation).
Experience operating payroll controls in a SOX-compliant, US-listed company environment.
Experience with equity compensation payroll (RSUs/options), including cross-border cases and trailing tax liabilities.
Experience supporting Global Mobility programs: shadow payroll set-up, tax equalization/protection and hypothetical tax, gross-ups, and year-end assignee reconciliations with tax advisors.
Experience turning statutory/operational requirements into system/workflow requirements (e.g., Nmbrs–HRIS–GL integrations).
Project management certification or comparable experience leading cross-functional initiatives.
Competencies & Behavioral Traits:
Systems thinking: redesigns the process so it scales, rather than adding checks and manual work.
Bias for prevention: anticipates issues and builds guardrails.
Influence without authority; can align multiple stakeholders around standards.
Comfort with ambiguity and change; makes decisions with incomplete information.
Reliability and ownership: a dependable backup who keeps continuity across payrolls when it matters most.
Strong coaching mindset; elevates capability across the payroll team.
#LI-DY1
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Berlin, Germany
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Kuala Lumpur, Malaysia; Indonesia; Singapore
Workplace: fully
We're Osome
- an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time.
We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems.
What to expect:
Intelligence builds the AI capabilities no single team at Osome should carry alone, and helps every other team ship AI well. It works in three modes. It
owns
cross-cutting capability. It
enables
product teams by pairing with their engineers, so the pattern transfers and the team runs it afterwards. It
incubates
only by exception: building inside another team's area when that team has no capacity, always with a written hand-back plan.
This is a hands-on PM role. You'll find problems by talking to end users, dig into the data in BigQuery and Postgres to prioritise, prototype cheaply before committing engineering effort, and ship small fixes yourself. You'll also be the team's main liaison with Operations.
At a glance
You'd own: client and agent assistants (e.g. Maria, our client-facing bot, and the workflows it runs), document and accounting intelligence (e.g. document recognition, AI accounts review, our XBRL agent), and the shared AI foundation (evaluation and safety, memory, Osome MCP and model choices).
You'd work with: five engineers, plus shared design and an analyst. Product teams across Osome and our operations teams are your customers.
The problem to solve: AI is spreading across our teams faster than shared standards are. Your job is to stop every team reinventing evaluation, safety and memory, while our core AI products keep improving quarter on quarter.
What you'll do:
Own the Intelligence roadmap, OKRs and delivery, with two or three big bets each quarter. You make the prioritisation calls, own the business outcome behind the backlog, and write the release notes when things ship.
Set the evaluation bar for AI across Osome: eval datasets, confidence thresholds, human-review sampling and go/no-go gates.
With our Security team, set the safety and data-handling bar for AI across Osome: escalation rules, pre-action checks on agents, fail-open vs fail-closed behaviour, privacy and retention, client data isolation, and provider governance (e.g. zero data retention agreements).
Define the success metrics for each AI product before it ships, then keep checking the data yourself after launch to see whether it's working. Brief the analyst on what to build, and review the result. Use that evidence to make model and provider calls, e.g. benchmark a new model against our own labelled documents before switching.
Break epics into clear stories and tasks that engineers can pick up without a meeting. Pair with product teams' engineers to build AI features, and define what "successfully handed over" means.
Be the team's liaison with Operations: run training and feedback rounds, collect baseline data, and drive adoption until the AI version beats the manual process.
Run a small research track: test new techniques and approaches (e.g. retrieval, memory or agent patterns) on our own problems, and write up what we should adopt and what we should skip.
Represent this team's priorities to senior stakeholders.
As the team grows, mentor other PMs and help manage them.
Who you are:
Evaluated against our PM capability framework. At the Senior PM level, that means:
Strategic impact:
you can define and drive a strategy spanning 12 months or more for a platform-style team whose customers are other teams, tied to a company-level goal such as gross margin.
Domain ownership:
you own the OKRs, roadmap and business outcome of a complex, ambiguous, cross-functional area. You understand applied LLM/ML products deeply (evaluation, retrieval, memory, agent safety), and can become credible in our accounting and operations domain within two quarters.
Collaboration:
you drive high adoption of new tools with operations teams, including the processes needed to run them. You build consensus among senior leaders with conflicting goals, and you can say no while leaving the stakeholder feeling heard.
Problem-solving:
you map ambiguous, system-level problems, and know when a rule, a classifier or an LLM is the right tool.
Execution:
you reliably ship complex, cross-functional launches involving Operations and other product teams. You prototype to de-risk before committing engineering time, and you spot risks early.
AI-literacy:
hands-on well beyond prompting. You build prototypes and ship small PRs with AI coding tools, build eval datasets and run model experiments, read traces, and judge where models fail.
Leadership:
you shape direction across teams you don't manage, improve how the team works, and are ready to mentor at least one other PM as a player-coach.
What you bring
AI/ML features shipped to production, with quality measured after launch (accuracy, coverage, deflection).
Experience building evaluation datasets and running model experiments: thresholds, go/no-go gates, human-in-the-loop decisions, and reading traces in an observability tool (we use Langfuse) to see where models fail.
Experience shipping AI features that handle sensitive or financial data, and deciding when they should escalate to a human or stop.
Daily use of AI coding tools (e.g. Claude Code, Codex, Cursor) to read code and ship small changes.
Strong SQL. You can pick the right metrics for a product and explain what you need to an analyst. Data modelling is not required.
Experience working directly with operations teams: running training, collecting feedback, and proving time saved against a manual baseline.
A track record of good calls under ambiguity, and of checking afterwards whether they were right.
(Nice to have) Setting company-wide safety and data-handling rules for AI: fail-open vs fail-closed policies, privacy and retention, and client data isolation, including knowing when a new AI vendor needs a security review before it sees any data.
(Nice to have) Bookkeeping or accounting literacy: enough double-entry, chart-of-accounts and GST/VAT knowledge to judge whether an AI accounts review or document check is right. Either a qualification or hands-on bookkeeping experience counts.
(Nice to have) Document AI/OCR in production: classifying or extracting invoices, bank statements and receipts, and the trade-offs between coverage, accuracy, confidence thresholds and cost.
(Nice to have) Agentic systems or MCP in production: agents or tools that take real actions, with permissions, human approval steps and multi-step evaluation.
Our Benefits
Multi-cultural environment to enhance your global perspective.
Learning opportunities and mentorship from peers and leaders.
Flexible working arrangement; Hybrid working arrangement
An agile working model focused on goals and performance.
Equal Opportunity Statement
At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters.
Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today.
If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.
We are looking for a
Senior
Sales Engineer
to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
Revenue quality
Engineering focus
Product evolution
Customer trust at scale
You’re welcome to work remotely
from
Europe.
Your responsibilities will include:
Strategic Technical Discovery
Lead deep technical discovery with engineering teams and technical founders
Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
Translate customer ambition into production-feasible architectures
Identify hidden technical risks early
Commercial Acceleration
Partner tightly with Sales on strategic deals
Influence deal strategy through architectural clarity
Prevent misaligned commitments before engineering allocation
Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
Define measurable success criteria (latency, TTFT, throughput, cost envelope)
Classify workload complexity and required optimization depth
Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
Drive structured Go / No-Go decisions
Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
Identify recurring configuration patterns across customers
Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
Surface structured insights to Product and Engineering
Help evolve platform capabilities based on real workload data
We expect you to have:
Deep understanding of AI inference systems and GPU-backed infrastructure
Experience with LLM workloads and performance-sensitive environments
Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
Ability to reason about latency, throughput, cost, and architecture tradeoffs
Strong customer presence with engineering-first organizations
Comfort challenging assumptions and pushing back constructively
Commercial awareness – you understand that engineering time is a strategic resource
Preferred technical stack
:
Programming Languages– Python
Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
API and Web Frameworks– FastAPI, Flask
MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What success looks like
:
Strategic deals are technically sound before engineering engagement
PoCs are clearly scoped and economically justified
Engineering capacity is allocated predictably
Conversion to production improves
Customers view you as a trusted architectural advisor
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO.
This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities.
The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience.
Your responsibilities will include:
Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development.
Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure.
Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls.
Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures.
Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts.
Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise.
Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities.
Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage.
Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements.
Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders.
Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program.
Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations.
We expect you to have:
6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations.
2+ years of experience leading technical security teams.
Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats.
Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments.
Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs).
Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources.
Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks.
Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis.
Strong analytical, investigative, and problem-solving skills.
Excellent written and verbal communication skills in Hebrew and English.
It will be an added bonus if you have:
Experience hunting across AWS, GCP, or Azure cloud environments.
Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments.
Experience developing detection rules and behavioral analytics.
Knowledge of malware analysis, digital forensics, or reverse engineering concepts.
Experience with threat intelligence platforms and threat hunting frameworks.
Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent.
BSc in Computer Science, Information Security, or a related field.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking an experienced Fraud Team Lead to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO.
This role is responsible for leading the organization's Fraud & Insider Threat function, protecting Nebius, its employees, executives, customers, and brand from fraud-driven attacks and insider risks.
You will lead a team responsible for identifying, investigating, and responding to fraud campaigns targeting the organization, including Business Email Compromise (BEC), executive impersonation, phishing, social media fraud, account takeovers, financial fraud, and insider threats. The role requires close collaboration with SOC, Threat Intelligence, IT, HR, Legal, Communications, and business stakeholders to proactively reduce fraud risk and strengthen organizational resilience.
Your responsibilities will include:
Lead and manage the Fraud & Insider Threat team, including mentoring, prioritization, and professional development.
Define and execute the organization's fraud prevention and insider threat strategy, processes, and operational playbooks.
Oversee investigations involving Business Email Compromise (BEC), executive impersonation, phishing campaigns, social engineering, financial fraud, and insider threat activities.
Lead monitoring and response efforts for fraud targeting executives, employees, customers, and the Nebius brand.
Investigate fraudulent domains, social media impersonation, fake websites, fraudulent mobile applications, and other brand abuse activities.
Coordinate takedown efforts with external providers, registrars, social media platforms, and law enforcement when required.
Develop fraud detection capabilities by leveraging threat intelligence, telemetry, and fraud monitoring tools.
Collaborate with SOC and Threat Intelligence teams to identify emerging fraud campaigns and evolving attacker techniques.
Partner with HR, Legal, Finance, Communications, and IT teams to investigate insider threats and fraud incidents while ensuring appropriate handling and confidentiality.
Produce intelligence reports, risk assessments, and executive briefings on fraud trends, insider threats, and organizational exposure.
Define KPIs and continuously improve fraud detection, investigation, and response processes.
Drive awareness programs to educate employees and executives on phishing, social engineering, executive fraud, and insider threat risks.
We expect you to have:
5+ years of experience in cyber security, fraud investigations, digital investigations, cyber intelligence, or incident response.
2+ years of experience leading technical or investigative teams.
Strong understanding of Business Email Compromise (BEC), phishing, executive impersonation, social engineering, and financial fraud techniques.
Experience investigating cyber-enabled fraud, insider threats, and digital abuse incidents.
Familiarity with email security, identity systems, and enterprise collaboration platforms.
Experience working with threat intelligence, OSINT, and digital investigation tools.
Strong analytical, investigative, and problem-solving skills.
Experience working cross-functionally with Security, HR, Legal, Finance, IT, and executive leadership.
Excellent written and verbal communication skills in Hebrew and English.
It will be an added bonus if you have:
Experience with brand protection, digital risk protection (DRP), or external attack surface monitoring platforms.
Familiarity with dark web monitoring, OSINT investigations, and threat intelligence platforms.
Experience working with law enforcement or external fraud investigation organizations.
Knowledge of insider threat methodologies and user behavior analytics (UBA/UEBA).
Experience in SaaS, cloud-native, or enterprise environments.
Relevant certifications such as CFE (Certified Fraud Examiner), GCFA, GCTI, CISSP, or equivalent.
BSc in Computer Science, Information Security, Criminology, Intelligence, or a related field.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We're looking for a
Senior Customer AI Engineer
who will join our
Token Factory
team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.
This role sits at the intersection of
engineering, delivery, and customer success
– ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive
stable, performant, and cost-efficient deployments
.
This role is NOT:
A sales role (though you will support expansion through value)
A pure support role (you won’t just react to tickets)
A solution architect role (you won’t design systems from scratch)
You’re welcome to work remotely from the
United States
.
Your responsibilities will include:
Own the production journey
Lead the transition from PoC to production
Ensure customer workloads are deployed, stable, and scalable
Drive time-to-production and time-to-value
Ensure technical success in production
Understand customer architectures and use cases
Monitor and improve:
- performance (latency, throughput)
- cost efficiency
- reliability
Identify and resolve bottlenecks proactively
Act as a trusted technical partner
Work directly with customer engineering teams
Provide guidance on best practices and optimisation
Translate technical challenges into actionable solutions
Manage risks and incidents
Act as a primary technical contact for production issues
Coordinate with internal teams to resolve incidents
Communicate clearly during high-pressure situations
Drive continuous improvement
Identify opportunities to optimise and expand usage
Provide structured feedback to Product and Infrastructure teams
Help shape better solutions based on real customer needs
We expect you to have:
Technical background
Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
Solid understanding of:
- cloud or infrastructure systems
- distributed systems or high-load applications
- AI/ML workloads (LLMs, inference, etc.) is a strong plus
Ability to troubleshoot and reason about system performance
Customer-facing experience
Experience working directly with technical customers (e.g. engineers, ML teams)
Ability to communicate complex topics clearly and effectively
Ownership & execution
Strong sense of ownership – you drive outcomes, not just tasks
Ability to manage multiple customers and priorities
Structured, proactive, and solution-oriented mindset
It will be an added bonus if you have:
Experience with GPU workloads or AI infrastructure
Background in solutions engineering, SRE, or technical support in B2B environments
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
#LI-DN1
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$209,800
—
$262,200 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Warsaw
At Asana, security is foundational to our mission of helping humanity thrive by enabling the world's teams to work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats and fostering a culture of security throughout our product and operations.
We're looking for a Product Security Engineer to join our Product Security team in Warsaw. You'll be a foundational member of the security presence in a key engineering hub, partnering directly with product and infrastructure teams to ensure we design and ship secure software. You will be instrumental in scaling our security practices by building secure-by-default frameworks, eliminating entire classes of vulnerabilities, and championing a security-first mindset across our web, mobile, and AI-powered product surfaces.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.
We offer a Contract of Employment (UoP) for our employees in Poland.
What you'll achieve
Partner with product and engineering teams across the full software development lifecycle to ensure security is designed and built into Asana's products and platform.
Conduct security architecture reviews, threat modeling, and code reviews for new features and services.
Develop, implement, and maintain secure-by-default frameworks and libraries that empower engineering teams to build secure systems easily.
Build and maintain automated security tooling (static and dynamic analysis rules, custom SAST/DAST checks, and automated red-teaming) to scale security coverage without scaling headcount.
Identify and address AI-specific security risks such as prompt injection, insecure tool permissions, and abuse-resistant design in Asana's AI and agentic features.
Triage, investigate, and drive remediation of vulnerabilities from our bug bounty program, internal testing, and automated security tooling.
Influence engineering initiatives by conducting design and roadmap reviews, effectively communicating security constraints, and assisting teams in making informed trade-offs.
Investigate product security incidents as a subject matter expert, using logs and monitoring tools to contain, analyze, and drive resolution.
Evaluate and improve software supply chain security, including dependency management, SCA tooling, and third-party risk in the development pipeline.
Develop and deliver training to educate engineers on secure coding best practices and emerging threats.
Stay informed of industry trends, emerging threats, and best practices to ensure that Asana's security posture remains robust.
Collaborate with teammates and stakeholders to develop both short-term and long-term strategies for risk management.
About you
5+ years of experience in application security, product security, or software engineering with a security focus.
Strong software engineering background with experience in languages like Python, Javascript/Typescript or Scala.
Deep working knowledge of the OWASP Top 10 and common web application vulnerabilities such as XSS, CSRF, SSRF, and SQL injection.
Familiarity with AI/ML security concepts, including LLM-specific risks such as prompt injection and agentic attack surfaces.
Experience with security tools for static/dynamic analysis (SAST/DAST), software composition analysis (SCA), and vulnerability management.
Experience performing security design reviews and threat modeling for complex applications.
Excellent communication skills for collaborating effectively with both technical and non-technical partners.
A pragmatic and collaborative mindset, with a passion for building defenses against real-world attacks and enabling other engineers to do their best, most secure work.
Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we'll offer
Generous, transparent and fair compensation system (base salary and RSUs)
Contract of Employment (and the option of 50% tax deductible costs for author's rights usage in respect of applicable roles)
Health insurance with dental and travel coverage (Lux Med)
Breakfast and lunch catering on the days that you work from the office
Vacation allowance
Career growth budget
Home office setup budget
Gym/Fitness card
Fertility healthcare and family-forming support with Carrot
Mental Health Support in Modern Health
Group life insurance
MacBooks with all necessary accessories
For this role, the estimated base salary range is between
31 000 - 36 000 PLN
gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Задачи:
— Управлять определённым портфелем корпоративных клиентов (5000–40 000 сотрудников), разрабатывать и реализовывать многолетние планы по аккаунтам, направленные на внедрение платформы, рост доходов и долгосрочное стратегическое партнёрство на протяжении всего жизненного цикла клиента
— Организовывать скоординированное сотрудничество между отделами Sales Engineering, Solution Architecture, Value Consulting, Transformation Architecture, Marketing и BDRs для обеспечения высокого качества взаимодействия с клиентами на всех этапах продаж
— Активно развивать воронку продаж, выявляя новые возможности внутри существующих аккаунтов через исходящие инициативы, нетворкинг на уровне руководства и анализ "белых пятен" с чёткими метриками для контроля
— Применять структурированную методологию продаж с чёткими критериями выхода на каждом этапе для максимальной предсказуемости бизнеса, квалификации возможностей и полной ответственности за прогнозы от начала воронки до закрытия сделки
— Вести тщательно подготовленные, основанные на инсайтах встречи с клиентами, демонстрируя ценность платформы Zscaler, строить глубокие отношения с руководством, совместно разрабатывать планы роста и позиционировать клиентов как долгосрочных партнёров
Требования:
— Базовое понимание технологий AI/ML и опыт использования, защиты или позиционирования AI-решений для оптимизации результатов в своей функциональной области
— Минимум 5 лет опыта продаж с квотой по доходам, в частности продажи корпоративным клиентам в Германии, опыт продаж SaaS или корпоративного программного обеспечения
— История стабильного перевыполнения планов и понимание масштабирования через партнёрские каналы
— Готовность к обучению и дисциплина следовать проверенному процессу продаж от начала до конца
— Степень бакалавра или магистра в области бизнеса или смежной области
Преимущества:
— Опыт использования AI-инструментов для анализа клиентов и прогнозной аналитики продаж для выявления возможностей расширения, глубокого исследования аккаунтов и оптимизации управления территорией
— Умение эффективно вести командные продажи, используя внутренние ресурсы, партнёров и членов команды
— Опыт продаж технологий безопасности в рамках сложных многолетних контрактов
Условия:
— Удалённая работа из Германии
— Полная занятость
— Годовой оклад от €82,250 до €117,500 (без учёта комиссий, бонусов и акций)
— Комплексный пакет льгот, включая различные медицинские планы, отпуск, декретные отпуска, пенсионные программы, компенсацию образования и офисные бонусы
— Инклюзивная рабочая среда, поддержка разнообразия и равных возможностей
Компания Zscaler специализируется на цифровой трансформации и безопасности, используя платформу Zero Trust Exchange, которая защищает клиентов по всему миру, включая AI-ориентированные решения.
Location: Amsterdam
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
WHAT YOU'LL DO:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT YOU'LL BRING:
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
€110,000-€185,000 base salary + equity
Location:
- Netherlands, Amsterdam
- Remote with up to 25% travel
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
WHAT YOU'LL DO:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT YOU'LL BRING:
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
£100,000-£165,000 base salary + equity
Location:
- UK, London
- Remote with up to 25% travel
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote - Singapore
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
$185,000-$260,000 base salary + equity
Location:
- Singapore
- Remote with up to 25% travel
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As Senior Commercial Manager, Data Centers, you will drive the commercial activities that support Nebius's data center expansion and operations across the United States.You will be the primary point of coordination between our data center providers and internal Infrastructure, Legal, Finance, Treasury, and Procurement teams. Your scope will include provider funding requests, contractual commitments, change orders, prepayments, and commercial issues affecting delivery. We are looking for someone who takes ownership from the initial request through final execution: clarifying requirements, resolving open questions, securing approvals, coordinating signatures and payments, and confirming that commitments are fulfilled. You will need to work independently, manage competing priorities, and bring structure to complex situations.
This remote position will require travel between Data Centers.
Your responsibilities will include:
Provider commercial management
Own the coordination of commercial matters with colocation providers, data center developers, and power infrastructure partners.
Review provider requests for completeness, supporting documentation, contractual basis, and alignment with agreed scope and milestones.
Coordinate negotiations on change orders, payment schedules, and other commercial arrangements with the relevant business owners and Legal.
Track provider obligations and follow through on unresolved commitments, discrepancies, and disputes.
Funding and Payment Coordination
Drive funding requests, milestone payments, deposits, and prepayments through internal review and approval.
Maintain a consolidated view of requested, approved, committed, and paid amounts across projects.
Reconcile revised requests, funding reallocations, and previously paid amounts with Finance and providers.
Coordinate with Legal and Finance on loan arrangements, escrow releases, guarantees, and other funding structures when required.
Ensure documentation, signatures, and authorized approvals are completed before Treasury releases funds, and confirm payment receipt and allocation with providers.
Cross- Functional Execution
Establish clear owners, deadlines, and next steps across Infrastructure, Legal, Finance, Treasury, and Procurement.
Lead focused reviews to resolve open issues and secure decisions.
Prepare concise recommendations explaining the request, available options, financial implications, and delivery impact.
Escalate unresolved issues early and drive them through to closure.
Delivery Alignment and Reporting
Work with construction, power, and operations teams to connect commercial decisions to project schedules and capacity availability.
Identify funding or contractual dependencies that could delay procurement, construction, commissioning, or handover.
Provide leadership with clear reporting on outstanding commitments, upcoming payments, and decisions required.
Build repeatable processes for provider requests, approvals, documentation, and reporting as the portfolio grows.
What we expect you to have:
7+ years of relevant experience in commercial management, infrastructure business operations, project controls, or capital project delivery.
Experience managing commercial activities involving data centers, energy, construction, real estate development, or other capital-intensive infrastructure.
A demonstrated ability to drive work across Legal, Finance, and operational teams without direct reporting authority.
Strong understanding of contract administration, change orders, payment milestones, budgets, and financial commitments.
Confidence reviewing financial information, identifying inconsistencies, and challenging incomplete or unsupported requests.
Strong negotiation, stakeholder management, and written communication skills.
The ability to manage several complex matters simultaneously while maintaining accuracy and clear priorities.
A bachelor's degree in Business, Finance, Engineering, Construction Management, or a related discipline, or equivalent practical experience.
It would be an an added bonus if you have:
Experience working with hyperscale or AI data center providers.
Familiarity with colocation agreements, utility contracts, escrow arrangements, and infrastructure financing.
Experience establishing commercial processes in a rapidly growing organization.
An understanding of data center construction, power availability, commissioning, and operational handover.
Key employee benefits:
Health insurance:
100% company-paid medical, dental and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave
: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance:
Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$115,000
—
$225,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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