Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture.
What You’ll Be Doing
Lead the
overall architecture design and core capability development
of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Drive the
implementation of AI Native capabilities in engineering workflows
, including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment.
Build the
knowledge augmentation layer
for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities.
Establish the
runtime and governance framework
for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities.
Proficient in
Java / Python
, with solid coding skills, architectural thinking, and experience building complex systems.
Strong understanding of
LLM
and AI Agent architectures
, including task decomposition, tool use, context management, memory, execution loops, and exception handling.
Hands-on experience with
LangChain and LangGraph
, and strong familiarity with mainstream AI coding tools or frameworks such as
Claude Code
, Codex,
Cursor
, and Copilot
.
Experience in designing or developing
RAG / GraphRAG / knowledge graph
solutions for enterprise knowledge augmentation and engineering use cases.
Good understanding of
DevOps
,
CI/CD
,
Kubernetes
, and cloud-native technologies
, with strong cross-functional collaboration and execution skills.
Nice to Haves
Experience contributing to
open-source projects
related to AI Agents, AI Coding, RAG, or knowledge graphs.
Experience building
enterprise engineering platforms,
DevOps
platforms, or AI platforms
.
Familiarity with open-source Agent projects such as
openclaw, openhands/openharness, or Hermes
.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
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OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
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's
Candidate Privacy Notice
.
Location: Kazakhstan; Mongolia; China; Russia
About the company
Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms.
Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring.
Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps.
About the role
Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Kazakh subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects.
The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads.
Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance.
Requirements
Responsibilities
Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software
Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications
Handle rejections/make corrections in files
Remain current with industry trends, and adapt to evolving client requirements
Maintain the confidentiality of sensitive content.
Requirements:
Native speaker of Kazakh with a strong command of English
Familiarity with additional languages is a valuable plus
At least 2 years of experience in subtitling translation and/or proofreading is essential
Exceptional attention to detail and commitment to accuracy
Proven track record of meeting tight deadlines with flexibility in working hours
Skilled at adhering to technical guidelines and style guides across diverse client content
Location: Cairo, Egypt
Müller’s Solutions is seeking an experienced Power BI Consultant to join our team. In this role, you will be responsible for designing, developing, and delivering Power BI solutions that enable data-driven decision-making across the organization. You will work closely with business stakeholders to understand their needs and translate them into effective, insightful reports and dashboards. Your expertise will ensure the efficient deployment and adoption of Power BI, driving business intelligence initiatives.
Responsibilities:
Design, build, and deploy Power BI reports and dashboards tailored to business user requirements.
Collaborate with stakeholders to gather requirements and provide BI solutions that align with business goals.
Develop and optimize data models and queries to ensure high performance and accuracy.
Implement best practices for data governance, data quality, and security within Power BI projects.
Provide training, support, and documentation to end-users and team members.
Maintain and update existing Power BI reports and solutions to adapt to changing business needs.
Stay current with the latest Power BI features, tools, and industry trends to continuously improve BI capabilities.
Work closely with IT and data teams to integrate Power BI with various data sources.
Requirements
3 to 5 years of practical experience in creating Power BI reports and dashboards.
Advanced skills in
DAX
and
Power Query (M Language)
.
Extensive experience in
data modeling
and combining data from various sources.
Good knowledge of
data visualization best practices
.
Experience in publishing, managing, and maintaining reports within the
Power BI Service
.
Capability to analyze business requirements and convert them into technical solutions.
Strong communication abilities and experience collaborating with cross-functional teams.
Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
Demonstrated experience as a Power BI Consultant or Developer with a robust portfolio of Power BI projects.
In-depth knowledge of Power BI Desktop, Power BI Service, DAX, Power Query, and data modeling.
Hands-on experience with SQL and integrating Power BI with diverse data sources.
Awareness of data governance, data quality, and security best practices.
Excellent communication and interpersonal skills for working effectively with both technical and non-technical stakeholders.
Strong analytical and problem-solving skills to transform business needs into efficient BI solutions.
Ability to handle multiple projects simultaneously and meet deadlines in a fast-paced environment.
Familiarity with other BI tools and analytics platforms is advantageous.
Preferred Qualifications:
Microsoft certification such as
PL-300 (Power BI Data Analyst)
or equivalent.
Experience working in enterprise environments.
Familiarity with SQL and other data platforms is a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a detail-oriented and experienced Capital Project Audit professional to join our team. In this role, you will be responsible for auditing capital projects to ensure compliance with company policies, regulatory requirements, and financial accuracy. You will evaluate project performance, identify risks, and recommend improvements to enhance project controls and governance.
Key Responsibilities:
Perform thorough audits of capital projects, including reviewing budgets, verifying expenses, and assessing compliance.
Assess the efficiency of project controls, governance structures, and risk management processes.
Detect potential financial, operational, and compliance risks in capital projects and propose appropriate mitigation measures.
Work closely with project managers, finance teams, and other relevant parties to resolve audit issues.
Compile comprehensive audit reports and communicate the results to senior management.
Oversee the implementation of audit recommendations and monitor corrective actions.
Keep current with industry auditing standards and best practices related to capital projects.
Governance, planning, and scheduling of projects
Procurement processes, contract management, and cost control
Monitoring execution and reporting project progress
Testing, commissioning, and transferring project ownership
Requirements
Requirements:
Bachelor’s degree in Accounting, Finance, Business Administration, or a related discipline.
At least 5 years of auditing experience, ideally concentrating on capital projects or construction audits.
In-depth understanding of auditing standards, financial controls, and project management concepts.
Skilled in using various audit tools and software applications.
Excellent analytical, problem-solving, and communication abilities.
Capable of working independently as well as collaboratively within a cross-functional team.
Possession of relevant certifications such as CPA, CIA, or CISA is preferred.
Detail-oriented with strong organizational capabilities.
Bilingual proficiency in Arabic and English, with experience in the Hajj and Umrah sectors.
Comprehensive experience in auditing capital projects.
Robust background in the hospitality industry.
Knowledgeable about the regulatory requirements of the Ministry of Tourism and the Capital Market Authority (CMA).
Location: South Africa; Poland; Romania; Portugal; Czechia
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a Senior Media Buyer with deep expertise in paid advertising and performance marketing. This is a high-impact remote role where you will manage and scale multi-platform campaigns, optimize ad performance, and drive revenue growth. Ideal for candidates experienced in handling large ad budgets and delivering consistent ROI.
Key Responsibilities
Plan, launch, and manage high-budget paid media campaigns across Meta (Facebook/Instagram), Google Ads, TikTok, and other platforms
Analyze campaign performance and optimize for key metrics such as CPA, ROAS, and conversion rates
Conduct audience research, A/B testing, and funnel optimization
Collaborate with creative teams to develop high-converting ad creatives and copy
Monitor and allocate advertising budgets efficiently to maximize returns
Generate performance reports and present insights to stakeholders
Stay updated on platform changes, trends, and best practices in digital advertising
Requirements
4+ years of experience in media buying or performance marketing
Proven track record managing ad budgets of $50,000+/month
Strong expertise in Meta Ads Manager and Google Ads
Experience with TikTok Ads and other emerging platforms is a plus
Proficiency in analytics tools (Google Analytics, Hyros, Triple Whale, etc.)
Strong understanding of conversion tracking, attribution models, and funnels
Data-driven mindset with excellent analytical and problem-solving skills
Experience working with eCommerce or lead generation clients preferred
Excellent communication skills and ability to work remotely with global teams
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco; Palo Alto
Workplace: Hybrid
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users.
As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements.
RESPONSIBILITIES
- Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions
- Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures
- Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data
- Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements
- Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality
QUALIFICATIONS
- 4+ years of software, data, or machine learning engineering experience shipping and operating production systems
- Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems
- Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines
- Demonstrated ownership of ambiguous technical projects from initial design through production operation
- Ability to work effectively with data scientists, engineers, and product partners
PREFERRED QUALIFICATIONS
- Experience building evaluation, experimentation, observability, or machine learning infrastructure
- Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation
- Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse
Location: Mississauga, Ontario
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Job title: Senior Software Engineer
About the role:
You will join a high-impact team transforming healthcare through technology. Our platform
connects fragmented clinical systems to enable real-time care coordination across
thousands of healthcare facilities, serving millions of users. You will design and build
scalable platform services, leveraging modern AI-augmented engineering practices to
accelerate delivery, improve reliability, and enhance clinical and operational outcomes
What your day-to-day will look like:
• Build robust platform services supporting clinical operations
• Partner with product and clinical teams to understand and solve real workflow
challenges
• Drive architectural decisions for business platform services
• Own the reliability and performance of critical healthcare solutions
• Mentor team members on modern engineering practices
What qualifications we’re looking for:
Required Technical Experience
•Strong track record building and shipping production software in modern languages
(Java, Python, or similar)
• Deep understanding of cloud-native architecture and distributed systems design
patterns
• Expertise in design, optimization, and scaling for relational (SQL) database
systems, bonus points for NoSQL database systems
• Experience designing and implementing RESTful APIs and microservices
• Proficiency with test-driven development, automated testing, and maintaining high
code quality
• Hands-on experience with modern frontend frameworks, primarily React or Vue.js.
• Working knowledge of CI/CD pipelines and infrastructure-as-code practices
• Experience with production observability, monitoring, and performance
optimization tools
Modern Engineering Practices
• Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude
Code) as part of your workflow
• Experience applying AI tools throughout the development lifecycle from
requirements analysis, documentation to incident response
• Strong code review skills demonstrated through giving and receiving constructive
feedback
• Experience with Git workflows and collaborative development practices
• Ability to balance feature delivery with system reliability and technical excellence
• Comfortable with on-call responsibilities and incident response
What Would Make You Stand Out
• Experience building and scaling SaaS platforms
• Track record of mentoring engineers or leading technical initiatives
• Background with Spring Boot and Java ecosystem
• Experience with Azure cloud services and Kubernetes (AKS)
• Experience in healthcare technology or regulated industries
• Understanding of HIPAA compliance and handling sensitive data
Our Stack
• Front-End: React/Vue JS, Micro-Frontends, Material-UI
• Backend: Java, Spring Boot
• Data: PostgreSQL, MSSQL, Redis
• CI/CD: GitHub Actions, Jenkins
• Infrastructure: Azure, AKS, Terraform
• AI Tooling: Claude Code, Copilot
#LI-AJ1
#LI-Hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: London
Workplace: Hybrid
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto; New York City
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
WHAT YOU WILL WORK ON
Examples of real work the team does:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
GOOD IF YOU TOUCHED ANY OF
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Location: London
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
RESPONSIBILITIES:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR:
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
NICE-TO-HAVE:
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS:
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
Atlas gives teams a way to build and use internal software with AI, with the infrastructure to connect company tools, manage access, and share what they build.
We're hiring a Product Manager to help take Atlas from a new product to something teams rely on every day. You'll identify the most valuable problems to solve, work closely with engineering and design to ship, and figure out what turns early interest into adoption. This role spans product discovery, launch, and the work that comes after: learning from real usage and deciding where to go next.
The product team at WorkOS works closely with developers and technical buyers who have strong opinions and high standards. Our engineers bring sharp product instincts, and you'll be a close partner in deciding what to build and why. You'll have room to shape the product, make decisions with incomplete information, and move quickly as you learn.
WHAT YOU'LL DO
- Own product direction and outcomes for Atlas, from identifying customer problems through discovery, delivery, launch, and iteration.
- Work directly with early users to understand what they're trying to build, where they get stuck, and what would make Atlas useful in their everyday work.
- Turn those insights into a clear roadmap, making deliberate choices about which use cases to pursue and what to ship first.
- Partner closely with engineering and design to turn technical capabilities into a product people can understand and use.
- Define success metrics for activation, adoption, and continued use, and use customer feedback and product data to guide your next decisions.
- Work with marketing, sales, and other go-to-market partners to bring Atlas to market and communicate its value clearly.
- Follow how people are building with AI and agents, and use what you learn to identify new product opportunities.
WHAT WE'RE LOOKING FOR
- Experience building products for developers or technical B2B users, with the technical fluency to work closely with engineers and understand customer workflows.
- A track record of taking a new product from an early idea to launch and adoption. You can explain the decisions you made, what you learned from users, and how the product changed as a result.
- Strong product judgment: you can find a useful starting point in an ambiguous problem and decide what matters most.
- A habit of talking to customers and using what you learn to shape the product.
- The ability to move quickly, make decisions without perfect information, and adjust as new evidence comes in.
- Clear communication and strong partnerships with engineering, design, and go-to-market teams.
ESPECIALLY RELEVANT EXPERIENCE
- Shipping agentic products, or working directly alongside teams building them. Recent experience with how people use agents to get work done is a strong plus.
- Bringing a new developer tool or technical B2B product to market and building its early adoption.
- Working on pricing, packaging, or a product-led growth motion.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: India
Position:
Talent Acquisition Specialist (India - Remote)
Job Summary:
We are seeking a dynamic and results-driven Talent Acquisition Specialist to join our team, focusing on hiring candidates within India. This role is pivotal in sourcing, attracting, and interviewing candidates to find the ideal fit for our vacancies. The ideal candidate will be responsible for selecting and advancing qualified candidates to the subsequent stages of their application, including the evaluation of assessment examination results.
Key Responsibilities
•
Strategic Sourcing and Screening:
Conduct daily in-depth assessments and screenings of all applicants, ensuring a high-quality candidate pipeline for positions within India.
•
Interviewing Excellence:
Implement and apply various interviewing techniques and methods to thoroughly evaluate candidates during in-depth interviews.
•
Initial Candidate Engagement:
Perform initial screening interviews, identifying potential fits for further evaluation.
•
Collaborative Hiring:
Work closely with Hiring Managers to recommend candidates, partnering with relevant stakeholders to offer competitive compensation packages and negotiate with candidates effectively.
•
Record Keeping and Compliance:
Maintain accurate and concise records and reports on all recruitment phases, utilizing Applicant Tracking System (ATS) and HRIS tools, ensuring compliance with local Indian regulations and hiring practices.
•
Performance Metrics:
Achieve target Ops Validation endorsements, maintaining high standards and expectations throughout the screening process.
•
Process Calibration:
Regularly calibrate screening and selection processes with Hiring Managers to align with specific account requirements and organizational goals.
•
End-to-End Recruitment:
Manage the entire recruitment lifecycle, from sourcing and interviewing to assessment administration and final decision-making.
Desired Skills and Qualifications:
• Proven experience in Talent Acquisition, with a strong understanding of the Indian job market and hiring practices.
• Excellent communication and interpersonal skills, with the ability to engage effectively with candidates and stakeholders.
• Strong analytical skills and the ability to conduct thorough candidate evaluations.
• Proficiency in using ATS specifically Breezy HR, and Job Boards such as LinkedIn Recruiter, Indeed and the like.
• Knowledge of local employment laws and regulations in India.
• Ability to work in a fast-paced environment and manage multiple priorities.
• Team player with a strong work ethic and the ability to handle confidential information with discretion.
Job details:
•
Employment Type:
Contract
•
Duration:
1 year, with the possibility of extension
•
Compensation:
Given the full-time support required, the projected monthly income ranges from ₹30,000 to ₹40,000.
•
Work Schedule:
Monday through Friday, adhering to a night shift to align with US Time Zones (9:30 PM – 6:30 AM IST).
•
Location:
Remote (Work from Home)
•
Internet Requirements:
A minimum internet speed of 50 Mbps is required, with a LAN connection recommended for optimal performance.
Join Us:
Become a part of our dynamic team and contribute to our mission of finding the best talent to drive our organization forward. If you are passionate about recruitment and want to make a significant impact in a growing company, we would love to hear from you.
Location: Sydney
Workplace: Hybrid
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include:
- Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach
- Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users
- Implementing sophisticated data processing pipelines that maintain search relevancy
As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo.
ABOUT YOU
- 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products
- Product acumen to reason about technical tradeoffs in terms of user impact
- Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering
- A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code.
- Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery
- Solid project management abilities
- Excellent written and verbal communication to validate and articulate decisions
- Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Singapore, Singapore
OKX
will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
You will be joining a team at the intersection of strategic execution and executive operations. This hybrid role combines program management ownership with high-touch executive support, working closely with senior leadership to drive critical initiatives and ensure seamless day-to-day operations.
What You’ll Be Doing
Prepare the CEO for key meetings:
Develop concise briefings and coordinate pre-read materials covering the purpose, background, key discussion points, relevant data and decisions required. Identify missing information and obtain clarification before meetings.
Manage strategic meetings end-to-end:
Coordinate agendas, participants, meeting sequencing and material submission deadlines. Consolidate presentations and review them for clarity, completeness, consistent messaging, formatting and obvious discrepancies before circulation.
Drive post-meeting follow-through:
Prepare accurate meeting notes and decision records; translate agreed outcomes into specific actions with accountable owners, deliverables and deadlines. Maintain an action tracker, follow up regularly and escalate delays or unresolved issues.
Track the CEO’s priority projects:
Work across functions to monitor milestones, dependencies and delivery commitments. Provide concise progress updates highlighting risks, blockers and matters requiring leadership intervention.
Filter and synthesise information:
Distil reports, feedback and requests into clear sk lummaries of what the CEO needs to decide or know. Prioritise by urgency and business impact, highlighting the decision required, available options and relevant context.
Coordinate external engagements:
Manage invitations, responses and preparation for engagements with business partners, regulators, media, investors and industry conferences. Conduct preliminary reviews of interview briefs, publicity materials and correspondence, coordinating review and approval by the relevant functions before release.
Deliver proactive executive support:
Manage the CEO’s calendar, travel, meeting logistics and expenses, aligning time allocation with priorities and anticipating scheduling conflicts and preparation needs.
Improve CEO office workflows:
Establish practical systems for briefing preparation, information management, project tracking and follow-up. Use approved AI and automation tools to improve efficiency while protecting confidential information and verifying outputs.
What We Look For In You
Demonstrated experience supporting senior executives and coordinating complex meetings or cross-functional initiatives in a fast-paced, international environment.
Strong business judgement and prioritisation skills, with the ability to distinguish routine coordination from matters requiring the CEO’s attention.
Excellent written communication and information synthesis skills; able to turn complex or fragmented inputs into concise, accurate briefings.
Strong execution discipline, with a track record of translating decisions into actions, tracking commitments and escalating issues early.
Confidence working with senior stakeholders, obtaining timely inputs and challenging incomplete or inconsistent information professionally.
Exceptional discretion and care when handling sensitive executive, employee, customer and external stakeholder matters.
Strong analytical skills and attention to detail, including the ability to interpret key data and identify gaps or inconsistencies.
An AI-forward working style, using approved tools responsibly and critically reviewing outputs before use.
Bachelor’s degree or equivalent relevant experience.
Proficiency in Mandarin to communicate effectively with internal stakeholders across the region.
Ability to travel up to 30% of the time for leadership meetings and regional site visits.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Role
We're looking for a technical lead who can own the frontend across OKX's core crypto business verticals. You'll be deeply involved in the full frontend delivery lifecycle across Trading, Web3, Payment, and beyond — not just writing code, but helping teams and products find the right direction, make the right calls, and execute with speed and precision.
This role demands the rigor of an engineer, the strategic thinking of a product manager, and the market instincts of a crypto practitioner. You don't need to carry a full-stack title, but you must genuinely understand frontend, have enough backend fluency to hold your own in architecture discussions, and — above all — understand the business.
Core Responsibilities
Business & Team Leadership
Own the overall frontend team across core business verticals including Trading and Payment, covering hiring, development, and pipeline building. Partner effectively with Product, Backend, Security, and Compliance — driving cross-functional outcomes through technical judgment, not just execution.
Product Delivery & Technical Execution
Lead technical design and delivery for core business features including trading system frontend experience, wallet and asset management, AI-powered trading products, payment gateway integrations, and KYC/AML frontend implementation. Stay deeply sensitive to business metrics and user experience, making sound trade-offs between speed and quality.
Product & Engineering Thinking in the AI Era
Demonstrate deep understanding of how AI is reshaping product paradigms — changing user expectations, product form factors, and R&D efficiency. Integrate AI into product decisions and design, not merely as a productivity tool.
Technical Judgment & Standard-Setting
Drive tech stack alignment and evolution. Proactively identify and address technical risk. Establish high engineering quality standards in complex crypto security contexts — private key security, frontend attack prevention, compliance auditing, and more.
Cross-Team Influence
Build dual technical and business influence at the company level. Communicate technical value and business judgment clearly to engineers, product managers, and senior leadership alike. Participate in industry engagements to attract high-potential talent who are genuinely passionate about crypto.
Requirements
Bachelor's degree or above in CS or related field; 10+ years of engineering experience including 5+ years managing technical teams; solid full-stack capabilities with frontend depth
Deep command of core frontend technologies (React/Vue internals, engineering toolchains, performance optimization, cross-platform solutions), with enough backend and API fluency to drive substantive technical discussions
Proven track record leading frontend for products with DAU 1M+ in high-concurrency, high-availability environments
Demonstrated experience driving cross-team collaboration and standard adoption through technical influence rather than organizational authority
Industry Background (Partial Core)
(Core)
Genuine understanding of and enthusiasm for crypto — familiar with CEX/DEX trading mechanics, Web3 wallet and signing mechanisms, and mainstream payment gateway ecosystems
Experience owning frontend delivery for trading, fintech, payments, or crypto products; comfortable navigating the tensions between compliance, security, and user experience
Familiarity with the Web3 frontend ecosystem (ethers.js / wagmi / viem, WalletConnect, EVM contract interactions, etc.)
Global product experience — understands the complexity of multi-language, multi-currency, multi-jurisdiction compliance requirements
Engineering Competencies for the AI Era (Core)
Deep understanding of how AI is reshaping product design; can integrate AI into product decisions rather than treating it purely as a development accelerator
Strong ability to model and frame complex problems; defines the right problem boundaries and system abstractions before reaching for solutions
Proven ability to constrain, guide, and evaluate AI outputs — decomposing complex engineering requirements into AI-executable task sequences
Experience establishing team-level AI working patterns; familiar with and having practiced AI Spec-Driven Development
Maintains high standards for code quality and system design integrity alongside — not despite — AI-assisted development
Soft Skills (Core)
Strong ownership: treats team goals as personal goals — proactive, accountable, clears obstacles without being asked
Sound judgment: makes high-quality decisions under incomplete information — decisive and accountable
Execution muscle: makes things actually land, not just live in decks and proposals
Fast learner: thrives in a fast-moving industry; rapidly absorbs new technologies, business dynamics, and regulatory shifts and converts them into team action
Bilingual: fluent English for technical discussions, documentation, and international collaboration (written and verbal at working proficiency)
Discl
aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Ko
ng.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Colombia; Mexico; Argentina; Brazil; Costa Rica
We are seeking an
Engineering Manager – Mechanical & Electrical
to lead and develop a distributed team of LATAM-based engineering resources.
This role is
mechanically driven
, with strong responsibility for design quality, execution, and manufacturability, while also overseeing electrical engineering integration.
You will act as the
key bridge between U.S.-based stakeholders and LATAM execution teams
, ensuring all deliverables are accurate, aligned, and delivered on time.
This is a
technical leadership role
, requiring deep involvement in engineering work, not a people-only management position.
Engineering Leadership & Team Management
Lead and develop LATAM-based CAD Technicians, Drafters, Mechanical Design Engineers, and Electrical Engineers
Set clear expectations for quality, delivery, and technical rigor
Assign and prioritize work across multiple programs
Mentor engineers to improve technical capabilities and execution
Provide performance feedback and support ongoing development
Mechanical Engineering (Primary Focus)
Own mechanical design execution across modular systems, enclosures, and industrial structures
Review and approve designs for accuracy and manufacturability
Ensure proper application of materials, tolerances, and fabrication methods
Drive design-for-manufacturability (DFM) and design-for-assembly (DFA) best practices
Partner with Manufacturing Engineering to align designs with build strategies
Electrical Engineering Oversight
Provide leadership and oversight for electrical engineering deliverables
Ensure clean integration between electrical systems and mechanical layouts
Review schematics, layouts, and documentation for completeness and consistency
Coordinate and resolve mechanical–electrical interface challenges
Standards, Quality & Governance
Establish and enforce engineering standards, templates, and best practices
Ensure consistent use of CAD tools, drawing standards, and revision control
Maintain quality control across engineering output from LATAM teams
Support engineering change management and design revisions
Cross-Functional Collaboration
Collaborate with Engineering, Manufacturing, Supply Chain, and Program teams
Translate project requirements into clear engineering work packages
Support project timelines, milestones, and risk identification
Act as a technical escalation point for complex design challenges
Global Team Execution
Manage distributed teams across time zones with clear communication and structure
Ensure alignment between stakeholders and LATAM engineering execution
Drive accountability without micromanagement
Build repeatable workflows for offshore engineering support
Technical Review & Risk Management
Review complex designs for technical risk, cost drivers, and manufacturability concerns
Identify issues early and drive corrective action
Ensure designs meet compliance, safety, and customer requirements
Requirements
Must-Have
Bachelor’s degree in Mechanical Engineering or related discipline
10+ years of experience in industrial, modular, or engineered-to-order environments
5+ years of experience leading engineering teams
Strong mechanical engineering background with design experience
Experience managing remote or distributed teams
Ability to review and approve mechanical and electrical designs
Strong communication and technical leadership skills
Nice-to-Have
Experience with modular systems, enclosures, or industrial equipment
Experience working with CAD teams and drafting resources
Familiarity with SolidWorks and SolidWorks Electrical
Experience integrating mechanical and electrical systems
Experience working with LATAM or offshore engineering teams
Exposure to manufacturing, fabrication, or production environments
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоKazakhstan; Mongolia; China; Russia
УдалённоCairo, Egypt
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
