Location: India
About Monster Energy:
Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A day in the life:
As the Procurement Lead, you'll be the APAC Procurement guru for SAP S/4HANA and SAP Ariba transformation projects. Your mission: make sure our regional procurement needs are perfectly captured in system design, testing, and deployment. Lead the charge on end-to-end documentation, process validation, testing, and data activities, while working hand-in-hand with global teams and implementation partners. You'll also power up change management, user training, and hypercare to ensure the smooth adoption of our new procurement processes and systems.
The impact you’ll make:
Partner with Digital Transformation and Supply Chain Transformation teams to ensure S/4HANA and Procurement related initiatives align with APAC business requirements and are effectively delivered. Ensure delivery of all assigned APAC Procurement and S/4HANA tasks, providing timely updates to Digital Transformation leadership on risks, dependencies, and opportunities.
Oversee the procurement process, ensuring cost-effective acquisition of goods and services while managing vendor relationships and compliance with regulations.
Drive APAC S/4HANA and Procurement project activity as the key regional point of contact, working with Procurement SMEs, Global Process Owners, Project Management teams, and external implementation partners.
Proactively engage APAC Procurement stakeholders to identify process improvements and alignment across end-to-end procurement processes. Identify opportunities for cost savings and process improvements within the procurement function.
Develop a communication plan and collaborate with the APAC Procurement team to plan participation in project deliverables and motivate the team through change. Lead the procurement team, setting performance goals and monitoring key performance indicators (KPIs) to drive efficiency and effectiveness.
Document current-state (“as-is”) procurement processes, mapping activities, stakeholders, decision points, handoffs, pain points, and gathering current state requirements. Write and contribute to detailed user stories that articulate business needs and expected outcomes and support measurement of current KPIs.
Stay informed about market trends, emerging technologies, and regulatory changes that may impact procurement activities.
Manage realistic test scenarios, prepare and cleanse test data, review and execute test scripts, and validate end-to-end procurement business processes during system integration testing.
Facilitate UAT, including “Day in the Life” testing, gather feedback, validate processes, and collaborate with stakeholders to gather, validate, and format procurement master data.
Support data validation, conversion, and cutover activities; support Change Management through identifying key changes and training needs; deliver training; and provide SME hypercare support and updates to SOPs and process documentation.
Who you are:
Prefer a Bachelor's Degree in the field of Business Administration, Supply Chain Management, or a related field of study.
Additional Experience Desired: More than 5 years of experience in procurement or supply chain management.
Additional Experience Desired: Between 3-5 years of experience in vendor management and contract negotiation.
Computer Skills Desired: SAP ECC / S4 HANA / SAP IBP.
Additional Knowledge or Skills to be Successful in this role: Fluent English preferred.
Read our privacy policy here:
Privacy Policy
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 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.
8+ 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!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 Kong.
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: Amman, Jordan
We are looking to hire a Marketing Operations Officer who leads the operational backbone of the marketing function by ensuring data integrity, automation excellence, performance visibility, and campaign efficiency across all digital initiatives. This is in addition to maintaining and continuously enhancing the marketing database, ensuring accuracy, enrichment, segmentation readiness, and compliance standards. You will oversee marketing automation execution, manage digital campaign deployment and reporting, and translate performance data into actionable optimization insights.
Responsibilities
Lead the execution of marketing automation activities, including email campaigns, nurturing flows, segmentation logic, and performance tracking within the marketing automation platform.
Develop, monitor, and analyze campaign performance reports, translating analytics into clear insights and optimization recommendations.
Own the governance, maintenance, enrichment, and quality control of the marketing database, ensuring segmentation accuracy, data hygiene standards, and CRM alignment.
Lead end-to-end execution of digital campaigns (LinkedIn, paid media, email, landing pages), ensuring accurate tracking, reporting, and continuous performance improvement.
Allocate and monitor digital campaign budgets, ensuring cost-efficiency, performance alignment, and optimization against defined KPIs and revenue objectives.
Build structured performance dashboards that provide visibility into MQL generation, engagement metrics, campaign ROI, and funnel contribution.
Identify process gaps within marketing operations and proactively implement structured workflows to improve efficiency, accuracy, and scalability.
Maintain awareness of evolving marketing technology tools, automation best practices, and data governance standards to continuously enhance operational maturity.
Requirements
Bachelor’s degree in Marketing, Business Administration, Data Analytics, or a related field.
3-5 years experience in marketing operations, automation, or digital performance (B2B preferred, ideally fintech/tech).
Strong hands-on experience with CRM + marketing automation platforms (e.g., Zoho CRM, HubSpot, Salesforce).
Proven ability to:
Manage and clean marketing databases (segmentation, enrichment, data quality)
Execute and optimize digital campaigns end-to-end (email, paid media, landing pages)
Track performance accurately (UTMs, attribution, conversion tracking)
Strong analytical capability to:
Build dashboards and interpret performance (MQLs, funnel, ROI)
Translate data into actionable insights and optimizations
Link marketing performance to revenue impact
Solid understanding of:
Lead lifecycle & funnel metrics
Attribution models & campaign efficiency (CPL, CPA, ROI)
Location: Japan
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
We are seeking a visionary and high-impact General Manager for Japan to lead our commercial expansion. This is a foundational role. You will be responsible for defining our go-to-market strategy in Japan, establishing enterprise partnerships and customer relationships and driving the adoption of Runway’s creator platform across the region.
Note: For candidates based in Tokyo, this role may expand into the Country Manager, overseeing local operations and serving as the primary representative of Runway in Japan.
WHAT YOU'LL DO
- Lead commercial efforts by designing the go-to-market strategy for Japan, focusing on high-value enterprise accounts in media, entertainment, advertising, brands and technology sectors
- Identify enterprise and distribution partnerships, cultivating relationships with C-suite executives at Japan’s largest firms, navigating the unique nuances of Japanese business culture and long-term relationship building
- Localize product and marketing strategy to the Japan market, working closely with Product, Creative, and Marketing teams to ensure Runway’s offerings and messaging are deeply resonant with Japanese customer base
- Serve as the subject matter expert on the Japanese and broader Asia competitive landscape, regulatory environment and emerging AI trends
- Build the Japan office by recruiting, leading and mentoring a local team of enterprise account executives, and growth and deployment leads
- Represent Runway at major industry events, conferences, and in the media to establish us as the leading AI partner for Japanese creators and enterprises
WHAT WE'RE LOOKING FOR
- 10+ years of experience in enterprise software, media technology or high-growth AI startups, with a proven leadership track record of building and cultivating high performance teams
- Native fluency in Japanese, with professional fluency in English. You must be able to bridge the communication gap between our US teams and local stakeholders
- An existing network of relationships within major Japanese media companies, advertising agencies or major tech conglomerates
- Deep understanding of Japanese business etiquette and the ability to navigate complex organizational hierarchies
- Comfortable with the ambiguity of an early-stage international expansion for a category-defining product, thinking in first principles to both close deals on the ground and build processes for scale
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: New York, New York
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
We’re now launching AI Labs - an incubator-style team operating like a startup within the company - to expand our reach and provide cutting-edge technical solutions to cities in areas beyond transit.
As a
Senior Engineer
at Via, you'll be a founding member of Via's new AI Labs - an incubator-style team operating like a startup within the company. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you.
About the Role:
Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments.
Work closely with our customers in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions.
Lead technical scoping workshops, directly interfacing with city leaders to solve challenging local problems with agentic workflows.
Work across a fast-moving and varied roadmap, contributing to intelligent tooling involving data consolidation, predictive modelling, real-time decision-making, and LLM-powered experiences.
Collaborate directly with product, data science, and operations teams to identify and prioritize the highest-impact AI opportunities across the business.
Write clean, scalable backend and frontend code that powers AI-driven features - designing APIs, managing data flows, and ensuring your systems perform reliably at scale.
Help shape the technical culture of AI Labs from the ground up - contributing to how the team builds, reviews, ships, and iterates.
Stay close to the frontier of AI development and bring new ideas, tools, and approaches into the team proactively.
About You:
You have 8+ years of hands-on experience building full stack applications - with a track record of owning features end-to-end rather than working in isolation on models or research.
You have 3+ years of working with AI tools and/or building AI powered products
You have deep expertise across the AI stack - including LLMs, predictive modelling, and the data infrastructure required to support them in real-world environments.
You're a strong backend engineer at your core - comfortable designing scalable APIs, working with distributed systems, and writing code that is clean, maintainable, and built to last.
You're energized by ambiguity and early-stage environments - you don't need everything to be defined to do great work, and you take ownership without being asked.
You bring the communication skills to work cross-functionally and the intellectual curiosity to keep pushing the boundaries of what's possible with AI.
You thrive when working directly with users and customers, and are comfortable with travel to collaborate on-site.
Compensation and Benefits:
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable.
Salary Range: $180,000 - $250,000
We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks.
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
Location: Yerevan; Poland; Ukraine; Serbia; Valencia
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX)
owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE)
embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
Requirements:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
What you’ll do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
Nice to Have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
- New York City
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual OTE: $350,000 USD
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Los Angeles, USA; Redwood City, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Engineering Managers, we gain organizational alignment by building a strong engineering vision and offering creative solutions to organizational design. We also serve as mentors for a team of engineers, overseeing their performance and trying to find stretch opportunities for their growth while maintaining a focus on results.
As a
Manager, Software Engineering
within Riot Discovery Studio, you will report to the Tech Director on an unpublished R&D product, leading a team of internal and external engineers to support product exploration, integrate and extend critical backend technologies, and scale our technology to meet the needs of a live Riot title. You will be accountable for all technical decisions of your team’s focus areas and help shape the product. You will own the technical health of the product's backend services from prototype through live operation, including architecture, scalability, reliability, observability, deployment, incident response, and infrastructure cost. You will be hands-on in implementation, at least initially.
Responsibilities:
Support defining the engineering strategy and technical roadmap to develop our global backend infrastructure with an understanding of our audience and product goals
Manage and scale an engineering team to support product needs through various development stages (i.e. pre-production, production, and post-launch)
Partner with product and delivery as they define product features and product roadmap
Collaborate and coordinate with Riot Central technology teams to efficiently deliver world-class solutions
Direct development and manage performance of external engineers in other geographies
Collaborate in technical/architectural discussions, provide direction and drive decision-making
Drive the planning and execution of engineering work including requirements gathering, technical discovery, technical design, and work breakdown and estimation.
Own the technical success of the services team, including operational excellence and cost in live environments
Identify, interview, and hire software engineers to support team and Riot hiring goals
Support engineers with performance management and career development, including stretch opportunities for them to grow
Create a culture of leadership across engineering by seeking different perspectives at all levels to solve problems and contribute ideas
Required Qualifications:
6+ years of experience as a software engineer
4+ years of game development experience working in various platforms (i.e. mobile, console, PC, etc.)
2+ years experience in a leadership position, working directly on the production of a game as an Engineering Manager
Experience leading teams through feature development (planning, execution, delivery, post-release support)
Experience building reliable, scalable, and maintainable backend distributed systems
Experience with the full software development lifecycle, including shipping one or more products on large code bases that span a range of platforms and tools
Experience collaborating across non-engineering departments to create solutions
Experience with modern backend technologies such as Go, Java, C#, or similar
Desired Qualifications:
Experience developing online games integrating Unreal Engine and backend services
Experience managing co-development or outsourcing relationships
Experience leading a backend transition from prototype to production
Experience improving live service uptime, reliability, and operational readiness
Familiarity with modern game platforms and practices
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
t’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: ES - Barcelona, Spain; ES - Spain
Scopely is looking for an
Analytics Engineer, Finance
to join our
Finance team
in
Barcelona, Spain
, on a hybrid basis,
working 3 days a week from our hub.
At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.
In this role, you will help to improve the reliability, accuracy, and maintainability of Finance data workflows by developing and supporting automated pipelines, data transformations, and reporting models. Working closely with stakeholders and the Lead Analytics Engineer in Finance, this role contributes to reducing manual processes, strengthening data quality, and ensuring dependable financial information for monthly close, revenue reporting, and accounting activities.
What You Will Do:
Partner with Finance stakeholders to understand business requirements, financial processes, and controls, translating them into practical technical solutions with guidance from the Lead Analytics Engineer.
Develop, maintain, and troubleshoot data pipelines, SQL transformations, and reporting models supporting monthly close, revenue reporting, and accounting workflows.
Investigate missing, delayed, inconsistent, or incorrect financial data, identify root causes, and implement reliable solutions.
Help modernize legacy SQL, scheduled workflows, and manual processes into maintainable, documented, and dependency-aware pipelines using dbt.
Build and improve automated data-quality checks, reconciliations, monitoring, and alerting to strengthen the reliability of Finance data workflows.
Apply Git, code review, testing, and deployment practices to improve the quality and maintainability of Finance data assets.
Support the automation of recurring spreadsheet-based processes and manual handoffs, while maintaining technical documentation, dependency maps, runbooks, and recovery procedures.
Collaborate with the Lead Analytics Engineer to apply engineering standards and contribute to governed, reusable models within the Looker semantic and reporting layer.
What We're Looking For:
Strong SQL skills and experience developing and maintaining production data transformations.
Experience working with a modern cloud data warehouse such as BigQuery, Snowflake, or Redshift.
Experience with data transformation frameworks such as dbt, Dataform, or equivalent technologies.
Knowledge of Git, version control, code reviews, and collaborative software development practices.
Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes.
Strong debugging and problem-solving skills, including the ability to investigate issues in inherited or imperfectly documented systems.
Experience working with Finance, Accounting, Revenue Accounting, month-end close, or audit-related data.
Ability to communicate technical concepts clearly to non-technical stakeholders, collaborate with engineering colleagues, and independently progress defined technical problems while seeking guidance when appropriate.
Openness to learning and responsibly using AI-supported tools to improve SQL development, documentation, debugging, testing, and workflow efficiency, while maintaining appropriate data security and validation practices.
Bonus Points:
Familiarity with financial controls, reconciliation, general-ledger concepts, or revenue recognition.
Experience in gaming, digital products, app-store revenue, or virtual economies.
Experience with data lineage, CI/CD, observability, or data governance practices.
Experience working with GCP, Airflow, Cloud Composer, or Looker.
Experience modernizing legacy SQL pipelines or stored-procedure-heavy environments.
Familiarity with orchestration tools for scheduling, dependency management, monitoring, and recovery.
Experience supporting business-critical workflows with defined service-level agreements (SLAs).
Working knowledge of Python or another programming language used for automation and data workflows.
Experience using or integrating agentic workflows in Finance processes.
Please ensure that the résumé/CV you attach is written in English.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: United Kingdom, 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, 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 the UK.
Your new role
As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.
Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training.
How you’ll make an impact
Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes.
Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development.
Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions.
Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism.
Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards.
Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives.
Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities.
Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies.
Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices.
Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks.
Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices.
Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies.
Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols.
Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents.
Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions.
Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools.
What will set you up for success
Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience).
5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations.
Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards.
Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting.
Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring.
Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security.
Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs.
Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation.
Proficiency in AWS security best practices.
Skills in automation, development, or scripting for enhanced security operations.
Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls.
Proficiency in email security protocols like SPF, DKIM, and DMARC.
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: Budapest
The Wow
As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.
A taster of what you will be involved with:
Design, implement, and optimize machine learning models to solve complex business problems.
Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
Write and maintain high-quality, production-ready code for machine learning models and services.
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
What we are looking for:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
Proficiency in Python, MLFlow and Spark would be considered an asset.
Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
What we offer
Fitness-wellness allowance
🧗♂️
Company mobile phone for private use with 100 GB
📱
Annual HUF devaluation compensation
💡
Hybrid model: 3 days in the office 🏢
& 2 days from home
🏠
Private Health Insurance
🩺
Career development
📈
Technical and soft-skill training opportunities 🎓
Breakfast, fruits & lunch 🍎
Team building events
🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Espoo
Workplace: Hybrid
Role highlights:
- Engineering Lead - Orbit Determination
- Location: Espoo
- Department: Spacecraft Analysis, Orbit and Attitude Control / Engineering
- Reports to: VP of Engineering
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As an Engineering Lead - Orbit Determination, you’ll lead a small (4-10 people) multidisciplinary team responsible for delivering accurate and reliable orbit determination capabilities that underpin ICEYE’s satellite operations. Your work ensures timely and precise satellite position data, enabling mission-critical systems such as image acquisition, planning, ground station communications, and on-orbit collision avoidance.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Lead and develop a multidisciplinary team delivering orbit determination software and services
- Own delivery, prioritization, and roadmap alignment in collaboration with product and domain stakeholders
- Drive continuous improvement of orbit determination capabilities including accuracy, latency, and scalability
- Support team growth through mentoring, hiring, and effective workload distribution aligned with individual strengths
What we’re looking for
Must haves:
- Proven experience leading multidisciplinary teams delivering complex software systems
- Strong understanding of modern software engineering practices including deployment, observability, and release processes
- Experience with cloud and on-prem environments using technologies such as Docker and Kubernetes
- Ability to communicate effectively across deep technical domains and scalable software systems
- Interest in understanding high-level fundamentals of orbital dynamics to understand constraints they impose on the software system
Nice to haves:
- Experience working on systems with strong theoretical components such as flight dynamics, state estimation, or data science
- Understanding of orbital dynamics
- Track record of hiring and developing engineers across different career stages
Application Process
- Talent Attraction Screening (remote)
- Hiring Manager Interview (remote)
- Take-home technical task and panel interview (remote)
- System thinking workshop (on-site)
- Behavioural interview to assess cultural fit (on-site)
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at http://iceye.comiceye.com http://iceye.com.
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 product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout.
What You’ll Be Doing
Lead the
product planning, requirement analysis, and solution design
of the AI Native engineering platform, and drive continuous product evolution and adoption.
Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions.
Design
AI Agent capabilities for engineering scenarios
, including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation.
Drive the integration of AI capabilities with
code repositories,
CI/CD
pipelines, testing platforms, deployment environments, and knowledge platforms
to deliver a unified end-to-end product experience.
Establish mechanisms for
product effectiveness evaluation, user feedback, and continuous optimization
, and support the product’s scale-up from pilot validation to broad adoption.
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 ToB products, platform products, or intelligent product solutions.
Must have an
engineering background
, such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams.
Strong understanding of
DevOps
, engineering productivity, software delivery processes, and quality systems
, with the ability to abstract and productize complex workflows.
Solid understanding of
AI Agent product design
, with the ability to design for task execution, workflow orchestration, result validation, and delivery closure.
Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of
Claude Code
, Codex,
Cursor
, and Copilot
, as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations.
Strong structured thinking, cross-functional collaboration, and execution skills; experience with
engineering platforms,
DevOps
platforms, platform products, or intelligent products
is a plus.
Nice to Haves
Experience with products related to
AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows
.
Experience building
engineering platforms,
DevOps
platforms, or platform products
from 0 to 1 or from 1 to N.
Hybrid background of
engineering-to-product transition
, or contributions to open source, communities, or public thought leadership in AI or engineering productivity.
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: 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:
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: 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: 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: 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
Hong Kong, Hong Kong SAR
Amman, Jordan
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УдалённоПротиворечивые условия: Note: For candidates based in Tokyo, this role may expand into the Country Manager, overseeing local operations and serving as the primary representative of Runway in Japan; Lastly, the provided range is the expected salary for candidates in the U.S
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