Задачи:
— Строить конвейеры подготовки данных: сбор, очистку, нормализацию, дедупликацию и разметку
— Формировать обучающие, валидационные и независимые оценочные выборки, контролировать утечки и пересечения
— Создавать baseline для задач извлечения, классификации, определения сущностей и связей
— Дообучать модели, готовить инструктивные наборы, обучать адаптеры и сравнивать результаты с базовыми моделями
— Определять метрики, стратифицировать выборки и анализировать ошибки по типам документов, сценариям и полям
— Работать с извлечением сущностей и связей для построения и обновления графового представления данных
— Разворачивать локальный inference и оптимизировать его под доступную инфраструктуру
— Работать с tensor parallelism, batching, длиной контекста, GPU-памятью и квантованием
Требования:
— Стек: Python, PyTorch, Hugging Face Transformers, PEFT, pandas, SQL, PostgreSQL, Airflow (или аналог), MLflow (или аналог), vLLM, CUDA, Docker, Kubernetes
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
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
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: Amsterdam, Netherlands; Berlin, Germany; Israel; 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
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
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: Kayseri
Workplace: hybrid
About Lyra
Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be contracted by Lyra Clinical Associates.
Role Overview
As an Affiliate, you will manage your own clinical caseload on a flexible, contractual basis. You
will accept cases referred by Lyra’s global corporate clients, providing short-term, goal-oriented
counseling to employees and their dependents. You will maintain full autonomy over your
practice, choosing your own hours and case volumes while benefiting from Lyra’s clinical tools,
administrative support, and professional training.
Clinical Care Delivery: Provide high-quality, short-term counseling (typically 1 to 8
sessions per case) to corporate employees and their families facing stress, burnout,
grief, relationship challenges, or mild-to-moderate anxiety and depression.
Evidence-Based Practice: Utilize evidence-based modalities, such as Cognitive
Behavioral Therapy (CBT), Solution-Focused Brief Therapy (SFBT), or Acceptance and
Commitment Therapy (ACT), tailored to an EAP context.
Administrative Compliance: Use Lyra's secure digital platform to manage scheduling,
case notes, and global data privacy compliance.
Requirements:
Education: Minimum of Master’s degree in Clinical Psychology, Counselling Psychology or
Clinical Social Work
Experience: Minimum 3 years of post-qualification clinical experience.
Registration: Registered with the local governing body as a psychologist, counsellor or clinical
social worker.
Modality: Proven experience in short-term therapy or employee assistance programs (EAP).
Psychoanalytic backgrounds are welcome, but you must be able to practice brief, structured
interventions.
Tech Setup: A secure, confidential space with high-speed internet for telehealth video sessions.
Here are some of the advantages to joining the Lyra provider network:
Connect with highly compatible clients
Set your own schedule, without a minimum hours requirement
Let Lyra clients easily book appointments with the Lyra Calendar feature, which seamlessly integrates with your calendar
Have peace of mind with Lyra’s 24/7 Care Navigation team for crisis support
Upskill your knowledge base with access to Lyra’s large collection of free and relevant CE credited courses approved by APA, ASWB, and NBCC
Stay in the know with a robust Help Center resources just for Lyra providers
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this contract position, your data will be processed as per Workforce Privacy Notice. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. For more information about how we use and retain your information, please see our Workforce Privacy Notice.
Location: London, United Kingdom
Workplace: hybrid
About the Company
Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries.
Role Summary
Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results.
As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio.
To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process.
To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work.
If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity.
Key Activities and Responsibilities
As a Creative Copywriter at GUS, you will be responsible for:
· Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions.
· Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content.
· Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience.
· Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content.
· Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals.
· Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration.
· Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis.
· Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts.
· Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors.
Qualifications and Education
Essential
· Undergraduate level or equivalent work experience
Desirable
· Digital marketing qualification
· Writing qualification
Experience
· Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR.
· Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects.
· Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data.
· An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics.
· Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution.
· Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams.
· Proven experience working collaboratively with an international team.
· Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy.
· Expertise in Microsoft Office, particularly Word and PowerPoint.
· Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style.
· Knowledge of AP Style or other major style guides is a plus.
· A portfolio of work that demonstrates your writing abilities and creative skills.
· A demonstrated passion for the educational space
· Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress).
· Experience in digital marketing including SEO, social media advertising and content marketing.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Please note that this will be a part-time role involving working 3 days a week.
Other information
We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company.
We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Location: London, United Kingdom
Workplace: hybrid
About the Company
Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries.
Role Summary
Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results.
As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio.
To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process.
To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work.
If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity.
Key Activities and Responsibilities
As a Creative Copywriter at GUS, you will be responsible for:
· Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions.
· Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content.
· Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience.
· Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content.
· Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals.
· Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration.
· Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis.
· Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts.
· Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors.
Qualifications and Education
Essential
· Undergraduate level or equivalent work experience
Desirable
· Digital marketing qualification
· Writing qualification
Experience
· Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR.
· Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects.
· Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data.
· An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics.
· Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution.
· Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams.
· Proven experience working collaboratively with an international team.
· Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy.
· Expertise in Microsoft Office, particularly Word and PowerPoint.
· Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style.
· Knowledge of AP Style or other major style guides is a plus.
· A portfolio of work that demonstrates your writing abilities and creative skills.
· A demonstrated passion for the educational space
· Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress).
· Experience in digital marketing including SEO, social media advertising and content marketing.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Please note that this will be a part-time role involving working 3 days a week.
Other information
We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company.
We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Location: Belfast, Northern Ireland, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.
Your new role
In this role, you’ll join as a Software Engineer on the ‘BrandX’ team, which is part of the wider ‘Order Engineering’ group.
BrandX (Brand Experience) builds the tools restaurant brands and Olo's internal teams use to run their business on Olo. We own the Dashboard that brand operators log into every day, the internal Admin application, and the billing and invoicing systems that turn platform usage into invoices. We also own how brands sign in and manage their users, including SSO and two-factor authentication, and we are building Olo AI Assist, a natural-language assistant inside the Dashboard.
The team is seven engineers spread across the US and Europe, and you'd be our first hire in Northern Ireland. Because the team sits between brands, Finance, and the rest of Order Engineering, the work is varied. One week you might be shipping a new Dashboard settings page, the next you're tracing a billing discrepancy across our finance integrations or teaching Olo AI Assist a new skill so a brand can update hours across hundreds of stores just by asking. You'll pair with senior engineers, review and ship code most days, and use Claude Code as a normal part of how you work.
How you’ll make an impact
Learn the BrandX domain and technology stack, and get to know the brands, Finance partners, and Order Engineering teams we work with.
Own small-to-medium features end to end, from understanding the requirement to shipping it, with senior engineers available when you need them.
Write code that meets our standards, and participate in code reviews as both author and reviewer.
Build reliable and maintainable software, with test coverage that matches the risk of the change.
Contribute to the team’s delivery pipeline, including test coverage, CI, and deployment practices.
Use Claude Code and GitHub Copilot as your default way of building, and help the team push what these tools can do.
Troubleshoot and debug production issues, learning how our systems fit together along the way.
Participate in team ceremonies such as daily stand-ups and retrospectives, sharing updates and feedback.
Take part in learning activities, including game days and training sessions, to build familiarity with Olo’s tools and processes.
Join the on-call rotation, with responsibilities that grow as you learn the team’s systems.
What will set you up for success
Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
1 to 3 years of professional software engineering experience, or a strong portfolio of shipped projects.
Working knowledge of C# and .NET, and comfort reading code you didn't write.
Some experience building web UIs. We use React and TypeScript, but any modern framework is a fine starting point.
Comfortable with SQL and relational data. A lot of our work is understanding how data moves between systems.
You understand the difference between unit, integration, and end-to-end tests and when each one earns its place.
AI coding agents are your default way of working. You use tools like Claude Code daily, you can explain the fundamentals underneath what they generate, and you're excited about a team that expects you to push them further.
You ask questions early, write things down, and are comfortable working with colleagues in other time zones.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
Applicant Privacy Notice (United Kingdom)
Location: Taiwan (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Hong Kong (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability.
This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority.
Why you’ll love this role
Leverage:
Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship.
Genuinely Hard Problems:
You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users.
Influence Without Bureaucracy:
You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs.
Frontier AI Work:
You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on.
Autonomy:
You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
What you’ll do
Lead Cross-Cutting Initiatives:
Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups.
Own Architecture Strategy:
Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl.
Set the Standards:
Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely.
Establish Shared Patterns:
Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem.
Own What You Build in Production:
Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence.
Influence and Partner:
Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs.
Grow Engineers:
Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team.
Lead AI Adoption:
Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output.
On-Call Support:
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Cross-Team Technical Leadership:
A sustained record of technical leadership across more than one team or a broad product area.
Deep Architecture Experience:
Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components.
Modularization in Production:
Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach.
Influence Without Authority:
A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation.
Product Judgment:
The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment.
Mentorship:
Experience mentoring engineers and shaping standards through code review, documentation, and example.
Agentic AI Leadership:
Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them.
Helpful experience
Go services and APIs at scale.
Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness.
Rust adoption or production ownership for systems, security, performance, or platform components.
Ruby/Rails modularization and large-monolith modernization.
PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems.
Security-sensitive product or software supply chain engineering.
Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.
THE ROLE & TEAM
Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship.
The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship.
This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products.
This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team.
WHAT YOU’LL DO
- You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments.
- Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30.
- Design team structures and operating models that preserve high throughput across multiple locations and time zones.
- Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero.
- Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions.
- Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance.
- Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity.
- Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero.
- Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero.
WHAT YOU’LL BRING WITH YOU
We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution.
- Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions.
- Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard.
- Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary.
- Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments.
- Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows.
- Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures.
- Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity.
- Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures.
- Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance.
- Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI.
WHERE AND HOW YOU CAN WORK
This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Santa Barbara, CA
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As an Enterprise Account Executive at Avoca, you'll own the full sales cycle, from first conversation to close, for our largest and most strategic home services accounts. You'll work directly with operators, and home service business leaders at scale to understand their call flows, conversion challenges, and growth goals, and help them adopt Avoca as a mission-critical revenue engine across their organization.
This role is built for a hunter: someone who builds their own pipeline, thrives in founder-led sales environments, is comfortable selling a technical product into large, multi-stakeholder organizations, and wants to help define how Avoca sells as we scale upmarket. This role reports to Nick Hartley, General Manager, West Coast GTM.
WHAT YOU'LL DO
- Own the end-to-end sales cycle for our largest enterprise home services customers, from prospecting to close.
- Proactively build and manage your own pipeline of enterprise-fit accounts rather than waiting on inbound.
- Run discovery calls to deeply understand customer operations, call workflows, and revenue pain points across complex organizations.
- Deliver tailored demos and solution pitches that map Avoca's AI to enterprise outcomes and ROI.
- Manage pipeline, forecasts, and deal progression across long, multi-stakeholder deal cycles with high accuracy.
- Navigate complex buying committees and drive consensus across founders, operators, procurement, and finance.
- Partner closely with Product, Engineering, and Customer Success to structure and close complex, high-ACV deals.
- Provide feedback from the field to help shape product roadmap, positioning, and enterprise go-to-market strategy.
- Hit and exceed aggressive monthly and quarterly revenue targets.
WHAT YOU'LL BRING
- 7-10 years of closing experience in B2B SaaS (AI, vertical SaaS, or operational software preferred), with a track record of winning enterprise or high-ACV deals.
- A demonstrated hunter mentality, you generate and win deals rather than just manage what lands on your desk.
- Proven ability to run complex, multi-stakeholder sales cycles and close high-ACV deals from first touch to signature.
- Strong discovery skills, you ask great questions and listen closely.
- Comfort selling to operators and executives at the enterprise level.
WHO YOU ARE
- Experience carrying an enterprise or strategic accounts quota and winning outsized deals.
- Clear, confident communicator who can explain technical concepts simply to varied stakeholders.
- Highly organized, proactive, and comfortable in fast-moving environments.
- Experience working in early-stage startups is a plus.
- Experience selling to home services or operations-heavy businesses is a plus.
- Excited to work in-office with a high-ownership team in NYC.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Monthly wellness stipend
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $380,000-$400,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: New York HQ
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As an Enterprise Account Executive at Avoca, you'll own the full sales cycle, from first conversation to close, for our largest and most strategic home services accounts. You'll work directly with operators, and home service business leaders at scale to understand their call flows, conversion challenges, and growth goals, and help them adopt Avoca as a mission-critical revenue engine across their organization.
This role is built for a hunter: someone who builds their own pipeline, thrives in founder-led sales environments, is comfortable selling a technical product into large, multi-stakeholder organizations, and wants to help define how Avoca sells as we scale upmarket. This role reports to Jack Gashi, our VP Sales.
WHAT YOU'LL DO
- Own the end-to-end sales cycle for our largest enterprise home services customers, from prospecting to close.
- Proactively build and manage your own pipeline of enterprise-fit accounts rather than waiting on inbound.
- Run discovery calls to deeply understand customer operations, call workflows, and revenue pain points across complex organizations.
- Deliver tailored demos and solution pitches that map Avoca's AI to enterprise outcomes and ROI.
- Manage pipeline, forecasts, and deal progression across long, multi-stakeholder deal cycles with high accuracy.
- Navigate complex buying committees and drive consensus across founders, operators, procurement, and finance.
- Partner closely with Product, Engineering, and Customer Success to structure and close complex, high-ACV deals.
- Provide feedback from the field to help shape product roadmap, positioning, and enterprise go-to-market strategy.
- Hit and exceed aggressive monthly and quarterly revenue targets.
WHAT YOU'LL BRING
- 7-10 years of closing experience in B2B SaaS (AI, vertical SaaS, or operational software preferred), with a track record of winning enterprise or high-ACV deals.
- A demonstrated hunter mentality, you generate and win deals rather than just manage what lands on your desk.
- Proven ability to run complex, multi-stakeholder sales cycles and close high-ACV deals from first touch to signature.
- Strong discovery skills, you ask great questions and listen closely.
- Comfort selling to operators and executives at the enterprise level.
WHO YOU ARE
- Experience carrying an enterprise or strategic accounts quota and winning outsized deals.
- Clear, confident communicator who can explain technical concepts simply to varied stakeholders.
- Highly organized, proactive, and comfortable in fast-moving environments.
- Experience working in early-stage startups is a plus.
- Experience selling to home services or operations-heavy businesses is a plus.
- Excited to work in-office with a high-ownership team in NYC.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Monthly wellness stipend
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $380,000-$400,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: Sydney
Workplace: Remote
ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect to help expand our presence in Australia by empowering customers and users to unlock the full potential of ClickHouse. This is an exciting opportunity to join after the general availability of our serverless Cloud product and play a pivotal role in defining how it is positioned and adopted in the market.
Our ideal candidate is a technical thought leader with strong customer facing skills, capable of bridging business objectives with technical solutions. In this role, you’ll serve as a trusted advisor, guiding clients on how to leverage ClickHouse for real time analytics, cloud native applications, and enterprise-scale workloads.
WHAT YOU’LL BE DOING
- Translate complex business and technical requirements into scalable solution designs, covering architecture, migrations, workflows, and data visualization.
- Work directly with stakeholders across every level; from the C-suite to data scientists and developers, to enable customer success.
- Evangelize ClickHouse’s vision and capabilities, driving adoption and securing strategic commitments.
- Apply a solution based approach to demonstrate and deliver customer value.
- Lead new initiatives that help customers transform raw data into actionable insights aligned with their business outcomes.
WHAT YOU BRING
- 5+ of experience with open source software business models; strong proficiency in cloud and infrastructure technologies.
- Hands on experience with scalable, highly available distributed systems.
- Proven ability to create proofs of concept (POCs) and reference implementations that drive customer adoption.
BONUS POINTS FOR
- Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure).
- Familiarity with database programming and data modeling.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Welcome to
Torrero
- all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide.
If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.
About the project
We're looking for a senior Python Developer.
Our tech stacks are Python, Django, PostgreSQL, MongoDB, RabbitMQ, and Redis.
Examples of tasks: implementation of regulatory and compliance requirements, integration with government platforms and reporting services, development of KYC and customer verification processes, responsible gambling features, risk management solutions, and other business-critical platform capabilities.
Your expertise to meet the requirement:
Commercial development experience
5+ years
(with hands on coding on your own, even without without AI tools)
Excellent knowledge in Python 3.x and Django
Experience in the design and development of complex highly-loaded systems
Excellent knowledge of general programming issues: design patterns, data structures, and algorithms
Native proficiency or fluent in
Russian language
Upper intermediate or intermediate proficiency in
English language
Will be a plus:
Experience with SQL and NoSQL DBs, and understanding of the key features of each of them
Experience in iGaming, KYC, compliance, or other regulated domains
Your key responsibilities include:
Make architectural decisions for product backend
Implement design, develop backend and write tests
Monitor trouble proof operation of production
Monitor performance, and optimize wherever necessary
We appreciate:
Ability to quickly and efficiently solve tasks
Independence, responsibility, initiative, and keep attention to detail
A flexible and systematic approach to solving complex problems
Right perfectionism
Ability to decompose large tasks
We offer:
Fully remote job - work from anywhere you want
Flexible working hours
Competitive compensation
28 paid days off per year
3 paid sick days a year without medical certificate
Seniority leave
Birthday Day off
Real career opportunities and professional growth
The great team across the world
Hiring Stages:
Introductory Call
Hiring Manager Round
Technical Assignment
Candidate Reference Check
Offer Letter
Location: Calgary, Canada; Toronto, Canada; Vancouver, Canada; Ottawa, Canada
Top 3 Reasons To Join Us
Competitive salary
100% Remote
Insurtech industry leader worldwide
About Us
At CoverGo, our mission is to help insurance companies and banks to make insurance 100% digital, to better serve their customers.
We are the leading provider of cutting-edge technology to the insurance industry
We’re also the winner of the insurtech of the year in all of Asia in 2021 and other awards globally
We work with enterprise clients such as AXA, MSIG, DBS, Fubon, Bank of China Group Insurance, and many more
We're an international, diverse team with over 20 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have offices in Singapore, Hong Kong, and Vietnam. We plan to expand to the US and other markets in the upcoming months
We’ve grown our annualized revenue by over 1000% since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Produces Functional Specification; interacts extensively with various business units and teams for Requirements Gathering and Elicitation. The functional specification is the basis of system development and enhancement
Lead (direct report) Business Analysts to grow and continuously improve their craftsmanship
Develops test plans for new workflows and processes; documents process changes
Create process models for current and future states for process analysis
Initiate process assessments to evaluate its efficiency and effectiveness and create findings and improvement recommendations
Complete process gap analysis and transactional process documentation requests using consultative and proactive engagement frameworks
Execute the end-to-end document lifecycle to ensure consistent quality work from the process creation to consumption
Ensure that procedures for controlling, preserving, securing, and updating business process documentation are followed
What We Need
A degree in Business, IT or any relevant field
At least 7 years of experience in a BA role
Previous experience working in the insurance industry or Insurtech is a must
Experience in advising and guiding clients on complex transformation programs with key domain expertise in business readiness, business adoption, change strategy, visioning, execution, stakeholder management, benefits management, and communication
Basic understanding of the technical development cycle of a mobile application or web portals
Agile/Scrum Framework for Project Planning & Release Management experience is a must
Strong written and verbal communication skills in English
Why You’ll Love Working Here
Full-remote
Local time zone office hours, work by your schedule
Paid annual leaves
Employee stock options
Performance bonus
Location: Sacramento, United States; Knoxville, United States; Honolulu, United States; Boise, United States; Naples, United States; Irvine, United States
CXG is a global Customer Experience consulting firm specializing exclusively in serving premium and luxury brands.
We partner with premium and luxury brands to transform experiences for meaningful impact. We provide valuable insights and support them in taking actionable steps toward creating seamless customer experiences that deliver more value.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at
live.cxg.com
and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older (21 years or older in the United States).
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
seniorAmsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
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УдалённоBelfast, Northern Ireland, Remote; You ask questions early, write things down, and are comfortable working with colleagues in other time zones
УдалённоTaiwan (Remote)
УдалённоHong Kong (Remote)
УдалённоseniorRemote: India; This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there
Bangalore, India
ГибридDesign team structures and operating models that preserve high throughput across multiple locations and time zones; We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required; Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard
ОфисГеография найма не уточнена
ОфисГеография найма не уточнена
УдалённоSydney
seniorГеография найма не уточнена
УдалённоleadCalgary, Canada; Toronto, Canada; Vancouver, Canada; Ottawa, Canada; Local time zone office hours, work by your schedule
Sacramento, United States; Knoxville, United States; Honolulu, United States; Boise, United States; Naples, United States; Irvine, United States