Location: Remote - US
About the Job:
LaunchDarkly is seeking a Sr. Director, Enablement to join our Revenue team. This position will report to the VP, Revenue Operations and Enablement. The Revenue Operations and Enablement team is responsible for sales strategy, technology, and enablement. The Sr. Director, Enablement will build a repeatable enablement framework to systematically support all segments of LaunchDarkly’s Revenue Organization. This role will ensure that all customer-facing personnel have the knowledge, content, skills, processes, and behaviors needed to optimize every interaction with buyers. The role will also oversee the planning and execution of Revenue Organization events, including SKOs.
The ideal candidate is a strategic thinker with leadership experience in a revenue-focused organization where enablement is integrated into every interaction. They bring deep experience developing enablement programs, supporting ongoing employee development, and implementing the processes and tools required to build a world-class enablement function.
Responsibilities:
Own the multi-year revenue enablement strategy and roadmap, aligned to GTM priorities, with quarterly outcomes tied to ramp time, win rate, and quota attainment.
Lead and grow a global team of enablement leaders and specialists, setting clear priorities, coaching for excellence, and operating as a player-coach where needed.
Architect role-based onboarding and continuous readiness for all revenue roles (Sales, Sales Managers, SEs, CS, BDR/SDR, PAMs), covering product, process, messaging, and selling skills, including pitch certification, with ramp metrics tracked from day one.
Equip teams to win with technical buyers by developing playbooks, talk tracks, objection handling, and competitive messaging for developer, platform engineering, DevOps, and engineering leadership personas, and by owning the sales playbook for Land & Expand motions, including New Logo and Expansion plays.
Own the enablement track for the annual GTM kickoff and quarterly business reviews, with full oversight of content and readiness.
Modernize the enablement tech stack (LMS, CMS, sales engagement, conversation intelligence) and embed AI into seller workflows to accelerate productivity, coaching, and deal execution, while maintaining a company-wide content map that serves as a single source of truth for the field.
Partner with the CRO, VP Sales, VP CS, Product, Product Marketing, and Partner leaders to align messaging, qualification frameworks, and customer journey execution, and advise GTM leadership on readiness and change management for new initiatives.
Build dashboards and reporting that link enablement to GTM outcomes (rep, PAM, and SDR productivity, internal satisfaction, completion), using data to prioritize investment and retire programs that don't move the number.
Define and drive the partner enablement strategy, aligned with internal enablement programs and GTM motions.
Qualifications:
10+ years combined in sales and sales enablement at enterprise SaaS companies, including 5+ years in leadership.
Track record of scaling onboarding and enablement in a high-growth environment.
Deep expertise in core enablement disciplines: value selling, sales process and methodologies, coaching, skill development, and presentation skills.
Ability to partner across Sales, Marketing, Customer Success, Solution Engineering, and Product to build a culture of alignment.
History of designing and launching partner enablement programs.
Skilled at creating learning content and shaping a unified communications strategy that keeps the field informed and aligned.
Prior work in a GTM strategy role, with a strong grasp of how enablement connects to revenue planning.
Success planning and executing large-scale events, such as global sales kickoffs.
Exceptional written and verbal communication, with the ability to influence at every level, including executive leadership.
Nice to have:
Time spent carrying a quota in a selling role.
Leadership of a sales-related function, such as Sales Development, Inside Sales, or Enterprise Sales.
Familiarity with enterprise technology companies serving the developer space.
Hands-on work developing competitive programs, buyer personas, and customer reference programs.
Pay:
Target pay ranges based on Geographic Zones* for Level M5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$240,600
- $330,700
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $216,500
- $297,600
*
Zone 3:
All other US locations - $204,500
- $281,100*
*
All Zones Inclusive of 20% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Prague; Belgrade; Serbia - Remote; Cyprus - Remote; Limassol; Toronto; Canada - Remote
Workplace: hybrid
As the only company focused 100% on Java, Azul is building the Java platform for the modern cloud enterprise. We are reimagining how customers use Java, bringing them the tools and insight they need to deliver faster, more performant, more dependable, and less expensive Java services. Come join one of the most influential members of the Java and OpenJDK community and help influence the future of Java.
Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM.
We are looking for a Senior Compiler Performance Engineer to own major performance areas of Falcon. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. Your job is to push its generated code further, deciding which optimizations matter, designing them and delivering measurable speedups on real workloads.
You will work in a distributed team of compiler experts, with direct influence on what Falcon optimizes next.
What You Will Do
Own performance of Falcon for a set of workloads or an optimization area end to end: analysis, design, implementation, validation
Design and implement new optimizations and improve existing ones in the middle end and back end: inlining heuristics, loop optimizations, vectorization, escape analysis, speculation and deoptimization, GC barrier and runtime call optimization
Drive code generation quality on x86_64 and AArch64, including bringing Falcon to new hardware platforms
Investigate complex performance issues reported by customers and turn findings into compiler improvements
Review code, mentor engineers on the team and raise the bar for performance methodology
Minimum Requirements
5+ years of professional experience developing optimizing compilers or JIT compilers
Strong C++ design and coding skills in large codebases
Proven track record of delivering compiler optimizations with measurable performance impact
Deep knowledge of compiler optimization theory and its practical tradeoffs: compile time, code size, correctness
Strong performance analysis skills: profilers, hardware counters, reading and reasoning about generated assembly
Nice to Have
Significant experience with LLVM optimization passes or code generation; LLVM commit access is a plus
Experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar
Deep knowledge of x86_64 and/or AArch64 microarchitecture
Experience with JVM internals: garbage collection, deoptimization, profiling
PhD in Computer Science or significant research experience in compilers
What We Offer
Opportunity to make a high impact at a growing, global company
Work alongside top experts worldwide contributing to the Java ecosystem
Referral Program — help us grow with great people
Premium IT equipment — MacBook Pro or hardware of your choice
Competitive paid holidays and sick time
Flexible working hours
Remote first OR Prague / Limassol / Belgrade city center offices OR hybrid - UP TO YOU!
Competitive compensation
Location: Dubai, United Arab Emirates (UAE)
Workplace: Remote
ABOUT PAVE BANK
Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide.
With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities.
Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance.
ABOUT THE ROLE
The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales.
KEY RESPONSIBILITIES
- Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities.
- Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs.
- Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows.
- Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy.
- Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams.
- Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals.
- Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows.
- Support development of junior talent and future team scale as the organisation expands.
EXPERIENCE
- 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets.
- Proven ability to originate and close complex, high-value institutional accounts.
- Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations.
- Strong financial, commercial, and pricing skills.
- Comfortable operating in a fast-moving, scaling banking environment.
Location: London, United Kingdom
Workplace: Remote
ABOUT PAVE BANK
Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide.
With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities.
Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance.
ABOUT THE ROLE
The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales.
KEY RESPONSIBILITIES
- Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities.
- Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs.
- Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows.
- Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy.
- Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams.
- Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals.
- Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows.
- Support development of junior talent and future team scale as the organisation expands.
EXPERIENCE
- 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets.
- Proven ability to originate and close complex, high-value institutional accounts.
- Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations.
- Strong financial, commercial, and pricing skills.
- Comfortable operating in a fast-moving, scaling banking environment.
Location: Georgia - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
Mission
We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat.
This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices.
Outcomes
Zero Incorrect Release-Related Production Issues:
Enforce rigorous CI/CD testing and reviews to eliminate release errors.
CI/CD and Staging Servers Availability at 99.9%:
Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime.
Product Availability at 99.99%:
Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans.
Decrease Lead time by accelerating CI/CD pipelines and environments
Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members
Requirements
3 years of experience leading a team in a fast-growing multinational IT business;
5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products;
Utilize a data-driven approach. Ability to justify decisions using concrete metrics;
Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment;
Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies;
Experience in implementing secure development environments;
Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP);
Tech Stack
.Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Portugal - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
Mission
We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat.
This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices.
Outcomes
Zero Incorrect Release-Related Production Issues:
Enforce rigorous CI/CD testing and reviews to eliminate release errors.
CI/CD and Staging Servers Availability at 99.9%:
Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime.
Product Availability at 99.99%:
Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans.
Decrease Lead time by accelerating CI/CD pipelines and environments
Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members
Requirements
3 years of experience leading a team in a fast-growing multinational IT business;
5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products;
Utilize a data-driven approach. Ability to justify decisions using concrete metrics;
Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment;
Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies;
Experience in implementing secure development environments;
Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP);
Tech Stack
.Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
Harvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features.
What You'll Do
- Establish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one).
- Scope, design and build custom agents, playbooks and prompts for key strategic customers.
- Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions.
- Prototype, test and iterate, including piloting Harvey features prior to general release.
- Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful.
- Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth.
- Create and maintain reusable assets, capturing best practices to speed up future deployments.
What You Have
- Qualified lawyer in England & Wales
- 3+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team.
- Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience.
- Strong communication skills and a track record of partnering with senior stakeholders to drive results.
- Interest in driving positive change in the legal industry through AI.
- Experience using AI tools in legal practice is a plus.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-LM1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Malta
This role is a key
component
of the security governance and assurance function within the InfoSec team.
The Wow
The role ensures security controls are defined and implemented by key partners across
Betsson
Group and includes
maintaining
a standard security control framework (ISO27001) captured in
Betsson’s
portfolio of security policies, procedures, and standards.
Ultimately, this
advisory role, carries the responsibility for all aspects of security governance,
risk
and compliance with a particular focus on security-related compliance and regulatory matters.
A taster of what you will be involved with:
Develop methods to monitor and measure security assurance and governance efforts.
Maintain and uphold system ISO27001 and PCI-DSS assurance accreditation materials.
Conduct technical security assessments of application, system or network, documenting the security posture and conformance to Betsson’s security control framework.
Partake in security configuration reviews to ensure applications, networks and systems are compliant with policies and standards.
Ensure policies, procedures, and standards are current whilst also developed, reviewed and updated periodically.
Interface with external auditors in preparation for novel gaming license applications, and during ISMS audits by providing supporting evidence and coordinating meetings as necessary.
Interface with various teams to manage information security related audits, findings and remediation actions.
Maintain, follow-up and communicate the Security Risk Register together with internal stakeholders.
Manage and maintain the Corrective Action Plan.
Coordinate and participate in Business Continuity Table-top exercises.
Participate in security due diligence assessments for new vendors or service providers.
Participate in the execution of a Security Awareness Programme.
Act as a central point of reference for all matters concerning Security Governance, Risk and Compliance and act as an ambassador for good security governance.
Additional responsibilities pertaining to security governance may be allocated at the discretion of the Security Governance Manager, in alignment with the evolving requirements of the organization
What we are looking for
3/4+ years’ progressive experience in Security, Governance, Risk, Compliance or related professional area
3/4+ years’ experience working with enterprise security risk management frameworks and processes (e.g., ISO2700X, NIST, Cloud Security Alliance)
3/4+ years’ experience in facilitating and conducting security assessments related to PCI-DSS, ISO27001, NIST 800-53 and Cybersecurity Framework audits
Strong verbal and written communication skills with the ability to articulate and interpret legal obligations and security requirements
Knowledge of business environments and service requirements, particularly in sectors like gaming or hospitality.
Experience working with cross functional, sourced, or matrixed teams
Proven ability to effectively prioritize and execute tasks in a high-pace environment
Familiarity with GRC systems and processes, strong organizational skills, and problem resolution abilities.
Experience in business systems and process planning
Project management skillset and a can-do attitude
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Berlin, Germany
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Latvia; Serbia; Poland; Georgia; Remote - Slovakia; Remote — Romania; Europe; Lithuania; Ukraine; Estonia; Limassol; Slovenia
Workplace: Remote
REMOTE | EUROPE (CET/EET ±2H) | B2B CONTRACT | REPORTS TO THE CEO
About the company
Our client is an established, profitable fintech operating at the intersection of crypto and traditional payments. It runs a consumer on/off-ramp platform and a fast-growing B2B infrastructure business: APIs and white-label solutions that let exchanges, neobanks, PSPs, wallets and other platforms embed regulated crypto and fiat services. The company is authorised under MiCA and PSD2 in the EU and is actively expanding its licence footprint, including e-money authorisations in Europe and the UK. The culture is owner-led, high-ownership and low-bureaucracy: decisions are made quickly and close to the founders.
About the role
This is a senior, hands-on leadership role. You will be the company’s Head of Risk, a member of the leadership team reporting directly to the CEO. The function starts as a one-person department and may grow as it matures. A foundation already exists: a risk register, risk appetite statement, DORA vendor risk work, and governance drafts. Your mission is to turn it into a proactive, decision-oriented risk function. That means bringing risk to leadership before it becomes a problem, and being a fast, credible partner to the commercial and product teams rather than a bottleneck.
What you will own
- Enterprise risk framework: risk taxonomy, risk appetite and tolerances, risk register, escalation policy and the three-lines-of-defence model.
- Risk reporting: regular risk dashboards for the CEO and leadership, board/committee reporting, and risk-related regulatory reporting.
- DORA: ICT risk management, incident classification and reporting, third-party ICT risk and the Register of Information, with a hard regulatory deadline ahead.
- Licensing: operational risk, capital adequacy, liquidity and safeguarding frameworks for new e-money authorisations in parallel jurisdictions.
- B2B partner and counterparty risk: onboarding risk scoring, risk-tiered monitoring, risk sign-off on material partnerships, and concentration risk.
- Financial and market risk, jointly with Finance: crypto price exposure, settlement and liquidity risk, counterparty exposure to liquidity providers and banking partners, and capital adequacy monitoring.
- Operational resilience: business continuity, disaster recovery, vendor risk and major incident reporting.
- Fraud risk appetite: acceptable loss rates by channel, product and geography, unified across the teams that currently share it.
- Product risk: risk assessment and launch gating for new products and markets, involved early rather than at the finish line.
- Risk governance and culture: running the risk committee and building risk ownership across business units.
What we are looking for
- 8-10+ years in financial services or fintech risk, including at least 3–4 years at a senior risk leadership level (Head of Risk, VP Risk, or equivalent). A CRO title is not required, but ownership at that level is.
- Direct experience in a regulated fintech, payment institution, EMI, PSP, or crypto business. Comfort with pace and lean structures is essential.
- Hands-on experience with at least one of: DORA ICT risk, MiCA (CASP) risk requirements, or PSD2 payment institution operational and security risk. UK FCA operational resilience experience is a strong equivalent.
- A clear track record of owning risk outcomes, not only advising on them.
- The ability to give a clear risk position and recommendation under incomplete information, and to hold that position under pressure from senior stakeholders.
- The ability to communicate risk in business language, in terms of impact, cost and options.
- Fluent professional English and Russian language.
Nice to have
- Previous Head of Risk / CRO role at a regulated fintech, EMI, PSP or crypto company.
- Experience building a risk function from scratch in a scaling business.
- Experience with crypto custody risk, MiCA capital requirements, or Travel Rule implementation.
- Third-party / vendor risk management at scale, especially in B2B or embedded-finance models.
- Experience chairing a risk committee or reporting to a board.
- FRM, PRM, or a comparable qualification.
What’s on offer
- A seat on the leadership team and direct access to the founders.
- Real ownership: you shape the risk function and its role in the business.
- A remote-first setup, with periodic in-person time at the European HQ.
- Long-term B2B contract with performance- and OKR-linked bonus.
- 20 paid working days off per year, paid sick leave, health insurance, a professional development budget, and team events.
Location: Poland
Workplace: remote
Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Regional Marketing Manager, you’ll act as the primary driver to execute integrated marketing campaigns that support the various business goals identified in our annual operating plan. You will be responsible for ideating, facilitating, and executing campaigns that drive demand generation and increase brand recognition for our market-leading technology solutions You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Warsaw, Poland.Responsibilities:Planning, creating and executing high-performing marketing programs.Support and align with the sales team’s priorities and focus on driving pipeline.Understand and deploy different strategies and plans to reach new prospects and drive opportunities expansion.Orchestrate multichannel campaigns, leveraging channels and tactics such as digital, social media, web, virtual and in-person events, external exhibitions, email and collaboration with 3rd party agencies. Also, support and execute account-based strategies and programs.Plan, coordinate, and deliver complex marketing initiatives, ensuring effective cross-functional collaboration to achieve business objectives.Set goals and define metrics for each marketing campaign, including lead generation, conversion rates, and pipeline impact.Track and analyze campaign performance, conduct post-campaign evaluations, and provide insights and recommendations to continuously optimize future marketing initiatives.Requirements:3+ years of B2B marketing experience.Fluency in written and conversational English.Strong campaign orchestration and experience working with cross-functional teamsHands-on experience prioritizing running multiple initiatives, campaigns, and deliverables simultaneously.Self-motivated, who can work independently and proactively to resolve issues and take ownership of tools and processes with minimal supervision.It would be a big plus if you have:Marketing experience in SaaS or enterprise software.Experience planning and executing marketing initiatives around large-scale industry conferences and external events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.
We are looking for a
Senior
Sales Engineer
to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
Revenue quality
Engineering focus
Product evolution
Customer trust at scale
You’re welcome to work remotely
from
Europe.
Your responsibilities will include:
Strategic Technical Discovery
Lead deep technical discovery with engineering teams and technical founders
Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
Translate customer ambition into production-feasible architectures
Identify hidden technical risks early
Commercial Acceleration
Partner tightly with Sales on strategic deals
Influence deal strategy through architectural clarity
Prevent misaligned commitments before engineering allocation
Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
Define measurable success criteria (latency, TTFT, throughput, cost envelope)
Classify workload complexity and required optimization depth
Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
Drive structured Go / No-Go decisions
Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
Identify recurring configuration patterns across customers
Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
Surface structured insights to Product and Engineering
Help evolve platform capabilities based on real workload data
We expect you to have:
Deep understanding of AI inference systems and GPU-backed infrastructure
Experience with LLM workloads and performance-sensitive environments
Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
Ability to reason about latency, throughput, cost, and architecture tradeoffs
Strong customer presence with engineering-first organizations
Comfort challenging assumptions and pushing back constructively
Commercial awareness – you understand that engineering time is a strategic resource
Preferred technical stack
:
Programming Languages– Python
Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
API and Web Frameworks– FastAPI, Flask
MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What success looks like
:
Strategic deals are technically sound before engineering engagement
PoCs are clearly scoped and economically justified
Engineering capacity is allocated predictably
Conversion to production improves
Customers view you as a trusted architectural advisor
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: UAE
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for a highly motivated, self-starter Strategic Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will:
- Build and manage a growing portfolio of strategic enterprise accounts in the UAE to help ElevenLabs meet its revenue goals.
- Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap.
- Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team.
- Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team.
Who you are
We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you:
- Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
- Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
- Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
- Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
- Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.
What you bring
- Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the UAE
- +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles.
- Extensive experience working in the UAE
- Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help.
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization.
- A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale.
- The role is based in the UAE
- Plus: Proficiency in Arabic.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, United Kingdom
Workplace: hybrid
About us
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over
150
talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
About the role
We're looking for a Senior Content Marketing Manager to own the strategy, production, and performance of content that positions Xelix as the authoritative voice in AP automation and financial controls.
This is a role for someone who can build the systems and scale to deliver content consistently — positioning Xelix as a credible category leader, earning trust with sophisticated buying committees, and driving measurable pipeline contribution.
Working closely with the Head of Marketing, Product Marketing, and Demand Generation, you will own how Xelix shows up - setting the content strategy, building the engine, and driving delivery through smart use of AI, automation, and repurposing.
The role spans two connected workstreams:
Thought Leadership
— podcast, executive and company LinkedIn, long-form assets including whitepapers, reports and guides, and PR spanning media relations, press coverage, and earned visibility through original research and executive bylines.
Campaign Content
— ABM-aligned assets, persona-mapped content, and content built to earn visibility across organic and AI-powered search.
What you'll be doing
· Build and own a scalable content engine - structured workflows, AI-assisted production, repurposing frameworks, and fast feedback loops — designed to grow in output and quality as Xelix scales
· Own content performance metrics — share of voice, content-influenced pipeline, and engagement growth — using data to continuously improve what gets made and how it gets distributed
· Own and drive Xelix's thought leadership programme — podcast, executive and company LinkedIn, long-form assets, and PR - establishing Xelix as the category-defining voice in AP automation and financial controls
· Work closely with Product Marketing to ensure all content is grounded in Xelix's messaging framework, product positioning, and competitive narrative — maintaining consistency across every format and channel
· Partner with Demand Generation to ensure content directly fuels integrated campaigns and pipeline programmes — with assets tailored to enterprise buying committees, key personas, and how buyers research and discover solutions today
What you’ll bring
· 7+ years in B2B content marketing, with a proven track record of building and scaling thought leadership programmes, owning content engines end-to-end, and creating content that drives category authority and commercial outcomes
· Demonstrated ability to work with executives and subject matter experts to extract insight and turn it into compelling, authentic content
· Fluency across the full content mix — long-form assets, social, podcast, PR and earned media, SEO, and AI search — with the judgement to know when and how to use each
· A systems mindset: experience building scalable content workflows from the ground up, using AI tools, automation, and repurposing to maximise output without sacrificing quality
· Deep understanding of enterprise buyer personas, buying committees, and how to create content that resonates across a complex, multi-stakeholder sales cycle
· Confident working in a high-visibility, high-opinion environment — able to bring stakeholders on the journey early, land sign-off efficiently, and consistently deliver work that hits the mark without endless iteration
Nice to have
· Experience ghostwriting for founders or executives - matching their voice without losing authenticity
· Experience commissioning or producing original research that has generated external citations or industry coverage
· Experience in fintech, finance automation, or selling into CFO or finance leadership audiences
· Hands-on experience with AI-assisted content production tools
· Experience building or growing a B2B community through content
What Success Looks Like
· Xelix is recognised as an authoritative, credible voice in AP automation — earning attention, building community, and driving a measurable link between content and pipeline
· A scalable, compounding content engine is in place — producing a consistent rhythm of high-quality content across formats, tracked against share of voice and engagement growth
· Xelix earns consistent external coverage and citations through original research, executive bylines, and media relations — building credibility beyond owned channels
· Content is mapped to enterprise personas and buying stages, directly enabling ABM programmes and giving Demand Generation and Sales a library of assets that accelerate pipeline
· Xelix earns consistent visibility across organic and AI-powered search, and executive LinkedIn presence drives measurable engagement with target audiences
What we offer in return
💰 Competitive salary of £55,000 - £78,000 depending on experience
🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
🏡 Hybrid working with two days a week from our dog-friendly Hoxton office and on-site gym
🏥 Comprehensive private medical & dental cover with Vitality
🍼 Enhanced parental leave pay
📚 Learning & development culture – £1,000 personal annual budget
🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals
🎯 Lots of team socials & activities
☀️ Annual team retreat
Want to learn more?
About us
Xelix blog
Xelix news
Xelix glassdoor
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:
Introductory Call
– A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
Hiring Manager Interview
– A 30–45 minute Teams meeting to explore your experience and fit for the team.
Technical Task or Presentation
– A role-relevant exercise to demonstrate your skills and approach.
Final On-site Interview
– An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO.
This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities.
The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience.
Your responsibilities will include:
Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development.
Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure.
Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls.
Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures.
Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts.
Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise.
Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities.
Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage.
Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements.
Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders.
Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program.
Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations.
We expect you to have:
6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations.
2+ years of experience leading technical security teams.
Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats.
Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments.
Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs).
Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources.
Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks.
Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis.
Strong analytical, investigative, and problem-solving skills.
Excellent written and verbal communication skills in Hebrew and English.
It will be an added bonus if you have:
Experience hunting across AWS, GCP, or Azure cloud environments.
Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments.
Experience developing detection rules and behavioral analytics.
Knowledge of malware analysis, digital forensics, or reverse engineering concepts.
Experience with threat intelligence platforms and threat hunting frameworks.
Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent.
BSc in Computer Science, Information Security, or a related field.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking an experienced Fraud Team Lead to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO.
This role is responsible for leading the organization's Fraud & Insider Threat function, protecting Nebius, its employees, executives, customers, and brand from fraud-driven attacks and insider risks.
You will lead a team responsible for identifying, investigating, and responding to fraud campaigns targeting the organization, including Business Email Compromise (BEC), executive impersonation, phishing, social media fraud, account takeovers, financial fraud, and insider threats. The role requires close collaboration with SOC, Threat Intelligence, IT, HR, Legal, Communications, and business stakeholders to proactively reduce fraud risk and strengthen organizational resilience.
Your responsibilities will include:
Lead and manage the Fraud & Insider Threat team, including mentoring, prioritization, and professional development.
Define and execute the organization's fraud prevention and insider threat strategy, processes, and operational playbooks.
Oversee investigations involving Business Email Compromise (BEC), executive impersonation, phishing campaigns, social engineering, financial fraud, and insider threat activities.
Lead monitoring and response efforts for fraud targeting executives, employees, customers, and the Nebius brand.
Investigate fraudulent domains, social media impersonation, fake websites, fraudulent mobile applications, and other brand abuse activities.
Coordinate takedown efforts with external providers, registrars, social media platforms, and law enforcement when required.
Develop fraud detection capabilities by leveraging threat intelligence, telemetry, and fraud monitoring tools.
Collaborate with SOC and Threat Intelligence teams to identify emerging fraud campaigns and evolving attacker techniques.
Partner with HR, Legal, Finance, Communications, and IT teams to investigate insider threats and fraud incidents while ensuring appropriate handling and confidentiality.
Produce intelligence reports, risk assessments, and executive briefings on fraud trends, insider threats, and organizational exposure.
Define KPIs and continuously improve fraud detection, investigation, and response processes.
Drive awareness programs to educate employees and executives on phishing, social engineering, executive fraud, and insider threat risks.
We expect you to have:
5+ years of experience in cyber security, fraud investigations, digital investigations, cyber intelligence, or incident response.
2+ years of experience leading technical or investigative teams.
Strong understanding of Business Email Compromise (BEC), phishing, executive impersonation, social engineering, and financial fraud techniques.
Experience investigating cyber-enabled fraud, insider threats, and digital abuse incidents.
Familiarity with email security, identity systems, and enterprise collaboration platforms.
Experience working with threat intelligence, OSINT, and digital investigation tools.
Strong analytical, investigative, and problem-solving skills.
Experience working cross-functionally with Security, HR, Legal, Finance, IT, and executive leadership.
Excellent written and verbal communication skills in Hebrew and English.
It will be an added bonus if you have:
Experience with brand protection, digital risk protection (DRP), or external attack surface monitoring platforms.
Familiarity with dark web monitoring, OSINT investigations, and threat intelligence platforms.
Experience working with law enforcement or external fraud investigation organizations.
Knowledge of insider threat methodologies and user behavior analytics (UBA/UEBA).
Experience in SaaS, cloud-native, or enterprise environments.
Relevant certifications such as CFE (Certified Fraud Examiner), GCFA, GCTI, CISSP, or equivalent.
BSc in Computer Science, Information Security, Criminology, Intelligence, or a related field.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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