Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption.
You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations.
WHAT YOU'LL DO
- Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires.
- Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures.
- Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems.
- Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data.
- Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations.
- Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable.
- Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments.
- Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities.
REQUIRED SKILLS AND EXPERIENCE
- 7+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles.
- Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code.
- Experience with Kubernetes and cloud-native technologies in production environments.
- Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS.
- Experience with infrastructure as code (Terraform) and configuration management.
- Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement.
- Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts.
- Strong debugging skills with an ability to trace issues across distributed systems.
- Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
NICE TO HAVE
- Experience with Google Cloud Platform (GCP) services, networking, and IAM.
- Experience building multi-tenant or single-tenant SaaS infrastructure.
- Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements.
- Experience with customer-managed encryption keys (CMEK/BYOK) implementations.
- Background in developer platforms, cloud IDEs, or developer productivity products.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
Location: Zurich
Workplace: OnSite
Blockstream was founded in 2014 by Dr. Adam Back and a group of cryptographers and engineers passionate about Bitcoin and its potential to transform financial infrastructure. Today, Blockstream builds secure Bitcoin and Layer-2 technologies used by banks, financial institutions, and enterprises worldwide.
We are seeking a Director, Platform & Integration Lead, a senior leadership role responsible for defining how client platforms are technically realized across systems, data environments, and Blockstream infrastructure.
This role operates in close partnership with the Director, Industry Lead, Financial Services, translating industry-specific solution strategies and reference architectures into scalable, production-ready platform implementations. While the Industry Lead defines what should be built and why based on market and client needs, the Platform & Integration Lead defines how those solutions are architected, integrated, and delivered at scale.
Acting as the bridge between the Head of Solutions and the Head of Delivery, this role ensures that architectural designs are executable, interoperable, and aligned with enterprise-grade integration standards.
WHAT YOU’LL BE DOING (RESPONSIBILITIES)
- Lead the architecture and integration of multi-system client platforms, connecting banking systems, enterprise infrastructure, and Blockstream technologies
- Partner closely with:
- Director, Industry Lead, Financial Services to translate industry solution strategy and reference architectures into platform designs
- Head of Solutions to refine platform architecture and technical direction
- Head of Delivery to ensure systems are buildable, testable, and scalable in production
- Define and own the platform integration strategy, including:
- API architecture and system connectivity
- Data flows, data models, and platform orchestration
- Event-driven architectures and messaging systems
- Cross-platform interoperability standards
- Design how APIs, data pipelines, platform services, and AI-enabled capabilities interact to form unified institutional platforms
- Establish and govern integration frameworks and reusable patterns aligned with industry reference architectures defined by the Industry Lead
- Guide engineering teams across:
- DevOps, CI/CD, and deployment environments
- System integration, testing, and validation
- Platform scalability, reliability, and performance
- Act as the senior authority for cross-platform dependencies, integration decisions, and system-level trade-offs
- Ensure alignment between solution architecture (what is designed) and technical delivery (what is built and operated)
WHAT WE LOOK FOR IN YOU (REQUIRED QUALIFICATIONS)
- 10+ years of experience in platform architecture, enterprise integration, or large-scale system implementation
- Proven experience designing and delivering complex, multi-system platforms in banking, fintech, or enterprise environments
- Strong expertise in:
- API-first architecture
- Microservices and event-driven systems
- Enterprise data platforms and data integration
- Cloud infrastructure (AWS preferred)
- Demonstrated ability to translate high-level solution architectures into executable platform designs, working across architecture and engineering teams
- Experience collaborating with industry/domain leaders and client-facing architects to operationalize solution strategies
- Strong understanding of system interoperability, integration patterns, and distributed system design
- Languages: German or Swiss German and English required; French and/or Italian a plus
- Location: Switzerland (Zurich/Zug preferred)
Nice To Haves (Preferred Qualifications)
- Strong knowledge of Bitcoin and blockchain technologies
- Experience integrating digital asset infrastructure into traditional banking systems
- Background in treasury management, corporate finance, or digital asset custody
- Experience with FIX, OMS, PMS, fund administration, accounting, or market data systems
- Experience working with or advising banks, asset managers, and institutional clients
- Exposure to traditional payment systems and cross-border payment flows
- Experience supporting or scaling go-to-market teams in fintech or digital assets
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a Sr. Solutions Engineer, you will act as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on Nebius. You will bridge customer requirements with internal engineering capabilities, ensuring successful deployment, stable operations, and ongoing optimization of complex, high-performance environments.
Your responsibilities will include:
Acting as the main technical interface for customers running workloads on Nebius GPU infrastructure.
Supporting customers in deploying, configuring, and tuning GPU-based environments for performance and reliability.
Investigating and resolving complex issues spanning hardware, networking, operating systems, and cluster-level behavior.
Partnering with internal teams (data center operations, networking, platform engineering) to coordinate and drive resolution of customer-impacting issues.
Converting customer requirements into practical architectures, configurations, and execution plans.
Identifying opportunities to improve system performance, stability, and overall customer experience.
Developing and maintaining technical documentation, including solution patterns, troubleshooting guides, and operational best practices.
Contributing to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams.
We expect you to have:
Experience in a customer-facing technical role (e.g., solutions engineer, support engineer, technical account manager, or similar).
Strong understanding of GPU infrastructure, including NVIDIA-based systems, multi-node environments, and performance considerations.
Hands-on experience with Linux systems and system-level troubleshooting.
Familiarity with large-scale compute environments such as GPU clusters, AI infrastructure, or supercomputing systems.
Ability to diagnose issues across hardware, networking, and software layers.
Strong analytical and problem-solving skills, with the ability to operate effectively in high-pressure situations.
Excellent communication skills, with the ability to explain complex technical concepts clearly to customers.
A proactive, ownership-driven approach with a strong focus on customer success.
It would be an added bonus if you have:
Experience working with NVIDIA Grace Blackwell or similar next-generation GPU platforms.
Experience with cluster validation, benchmarking, or performance testing tools (e.g., HPL, NCCL)
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries ranging from $180K to $220K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.
Join Nebius Today!
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: Hong Kong
QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity.
Your future role at QRT:
We are hiring an experienced cloud architect, who has a deep knowledge in AWS infrastructure and compute services along with broad knowledge across the expansive suite of AWS services. The role will require close collaboration across QRT business and technology groups to provide cloud architecture advisory, design and implementation support on new and existing platforms, which lowers the burden of knowledge on development teams and accelerates the time to market of new applications, features and solutions.
You will enable the QRT Business Teams to scale through:
Accelerating the time it takes to design and implement new business applications and features whilst assuring sound architectural fundamentals are in place:
Creation of re-usable and implementable architecture patterns and best practices, which advance the initial design and development phase of a project.
Identifying and solving common challenges which impact application and technology teams
Fostering collaboration across QRT’s application and technology teams
Guiding adoption and delivery within QRT business groups to translate business requirements into technical designs and support development teams in creating supportable solutions within the cloud
Providing time-bound support to teams within QRT to create cloud architecture and deployment plans and help standardize cloud offerings delivery
Interfacing with cloud providers to identify new services that can be beneficial and providing feedback to them on service changes and improvements that would benefit QRT
Your Present Skill Set:
Extensive knowledge of infrastructure and compute solutions and their implementation in AWS, with demonstrable experience in designing and implementing well architected cloud solutions which support cloud hosted business applications.
Knowledge of AWS core Infrastructure services (networking, security operations)
Experience with AWS compute services and technologies, including (ECS, EKS, Kubernetes, EC2, Lambda):
Ability to translate functional and non-functional requirements into well-rounded, secure, scalable solutions which meet the needs of the customer
A demonstrable background in working at scale across a large cloud technology landscape, identifying, advising and defining best practice solutions for deploying and managing cloud native workloads.
Good knowledge of one of more coding languages, such as Python.
Experience in using an Infrastructure as Code, such as Terraform.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to enable employees to achieve a healthy work-life balance.
Location: San Francisco, CA
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation:
- Annual salary: $350K OTE USD
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems.
Your responsibilities will include:
Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments
Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments
Develop and maintain network design documentation, standards, and operational procedures
Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking
Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments
Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources
Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6)
Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure
Automate network operations and workflows to improve reliability, scalability, and operational efficiency
Ensure high availability and performance of production networks through proactive monitoring and continuous improvement
What we expect you to have:
Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks
Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies
Deep expertise in routing protocols including BGP and IS-IS
Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing
Proven experience designing and documenting large-scale network architectures
Experience developing and executing network testing strategies and validating vendor solutions
Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments
Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines
Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox
Working proficiency in English
It will be an added bonus if you have:
Working proficiency in an additional European language
Experience with public cloud networking and GPU/InfiniBand environments
Knowledge of software-defined networking (SDN) overlays in cloud environments
Proficiency in Python, Go, or other programming languages in Linux environments
Experience using programming languages for network automation and tooling
Working conditions:
Remote work within the United States
Work closely with globally distributed infrastructure and engineering teams
Participation in on-call rotations to support production environments
Key employee benefits:
Comprehensive health insurance
401(k) plan with company contribution
Paid time off and public holidays
Flexible working hours
Professional development and certification support
Compensation:
$125,000 – $180,000 USD per year, depending on experience and qualifications
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: New York City, NY | Seattle, WA; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions.
Responsibilities:
Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions
Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value
Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses
Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations
Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow
You may be a good fit if you:
Have extensive experience in data science, including leading analytics for a growth or product area at significant scale
Have 5+ years managing data science teams, including setting team direction and developing senior data scientists
Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company’s mission of building helpful, honest, and harmless AI
Strong candidates may also have:
Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling
Experience with targeting, personalization, or uplift models in production
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Role
We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring.
Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes).
What You’ll Do
Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane.
Contribute to platform reliability, testing, observability, and operational excellence.
Qualifications
Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious and collaborative mindset — eager to learn from others and contribute broadly.
Experience with ML tooling, or data pipelines is a plus.
The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion.
Pay Range:
€7.102
—
€8.878 EUR
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Brazil
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
*This is a remote role and can be performed anywhere in Brazil/Colombia*
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here.
This role is designed for candidates with experience
building
and
improving
deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas:
Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis)
Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data)
What You'll Do
1) Own data and environment quality from an AI researcher perspective
Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics.
Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work.
Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude).
Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts.
Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections.
2) Design and build datasets and RL environments for your capability area(s)
Contribute to or lead the design of:
Task suites (single-step and long-horizon workflows)
Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators)
Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics)
Depending on your mapped capability area(s), you may focus on:
Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes).
Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks).
STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity).
Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models.
3) Build robust validation, denoising, and synthetic data systems
Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review.
Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls.
Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts.
Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage.
4) Use evaluations and training runs to prove impact
Design and run evals that reflect the client's intended usage.
Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift.
When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways.
5) Collaborate effectively with large production teams without being ops-heavy
Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals.
You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery.
You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL.
Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners.
Who We're Looking For
4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems).
Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure.
Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights.
Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned.
Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes.
Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus.
Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria.
Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity.
Strong pluses
RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design).
Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis).
Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional).
STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness.
Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces).
Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows.
Why Turing
Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence.
High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar.
Talent-dense team, where you'll find rapid iteration and an exceptional learning curve.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: London; New York; Edinburgh; Paris; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams.
This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management.
It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole.
Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role.
Key responsibilities:
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Extremely strong software engineering skills.
- Strong expertise in designing and conducting data collection tasks, including working with human annotators.
- Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models.
- Hands-on experience training large language models (LLMs) on distributed training infrastructures.
- Familiarity with evaluating and improving the generalizability and robustness of ML systems.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: New York
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Senior Detection and Response Engineer at Qube Research & Technologies (QRT)
will be tasked with
improving and optimizing our capability to effectively monitor, detect, respond, and remediate security incidents.
You will be part of a global security team, implementing highly automated security operations processes and systems to meet dynamic company growth. You will have an opportunity to design and build systems from scratch, interact with various technologies, influence architecture, decide on specific technologies or tools, and work on cutting edge projects.
As the security team, our top priority is to ensure that our data and assets are safeguarded using controls, which do not disrupt the business, whilst acting as an enabler. We work with many stakeholders at all levels across the business, including IT, Cloud and Engineering.
QRT runs a hybrid technology stack across multiple data centers, extending to various locations across the public cloud. The combination of on-premises and Cloud allows us to achieve performance and low latency requirements, which are important for quantitative and systematic investments.
Your future role within QRT
Monitor and analyse security events and alerts from diverse and disparate data sources to detect threats
Coordinate incident response activities including investigation, containment, remediation, recovery and lessons learnt
Deploy, tune, administer and implement security detection and response solutions, tools, configuration and related processes
Develop high fidelity security detections across our tooling suite
Collaborate with cross-functional teams to improve detection capabilities, including deploying new tools, log ingestion and enrichment, developing detection use cases and playbooks or designing automated response mechanisms
Capable of proactively performing threat intelligence driven hunting
Liaise with external vendors / MSSP / third-party stakeholders as required
Develop strategic objectives to increase the maturity of the Detection and Response function
Your present skillset
Extensive hands-on experience in detection and response within enterprise security environments
Demonstrable experience in creating customized security detection use cases
Demonstrable experience in digital forensics analysis and incident response
Demonstrable experience with building, troubleshooting and optimizing Detection & Response technologies (e.g., SIEM, Threat Intelligence Platform, Automation)
Understanding of different adversary tactics, techniques and procedures
Technical understanding and knowledge of network and operating system fundamentals
Experience working in hybrid environments (public cloud/on-prem) utilising various operating systems
Experience in CI/CD pipeline development and deployment automation would be advantageous
Programming/scripting language skills (e.g., Python, Bash, PowerShell) would be advantageous
Excellent verbal and written communication skills across different organisation stakeholders
Proactive mindset, capable of driving process improvements and automation initiatives
Base salary range for this position is $160,000 to $220,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Sydney
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative culture that enables us to solve complex challenges and deliver high-quality returns for our investors.
Your future role within QRT
We are seeking a motivated and versat
ile
Production Support Engineer to join our Sydney office. This permanent role suits candidates who thrive in fast-paced environments, enjoy supporting multiple technology domains (Trading Tools or Market Access), and are driven by operational excellence and technical innovation.
Key Responsibilities
Production Support (50%)
Provide user and system support across multiple technology streams.
Monitor, maintain and troubleshoot production systems, with a focus on data platforms and trading infrastructure.
Respond to incidents and service requests, diagnosing issues affecting data flows, trading applications and related systems.
Perform daily health checks of trading and data systems before market open.
Manage and maintain static and dynamic databases, including resolving data integrity issues.
Work with development and business teams to resolve pre-trade issues and implement improvements.
Support application releases, including deployment, validation and rollback procedures.
Maintain operational documentation and ensure adherence to internal controls and best practices.
Participate in root cause analysis and collaborate with global teams to resolve complex incidents.
Provide out-of-hours support when required.
Development & Automation (50%)
Develop automation tools to improve operational workflows.
Build scripts and applications for monitoring, alerting, data quality checks and recovery processes.
Contribute to initiatives involving cloud platforms, CI/CD pipelines and system optimisation.
Required Skills & Experience
3+ years’ experience in technical support, ideally within trading or market access environments.
Scripting experience in Python, Bash or PowerShell.
Experience with Windows and Linux administration.
Strong relational database knowledge (SQL Server, PostgreSQL).
Experience supporting trading systems or financial market infrastructure.
Strong analytical, problem-solving and communication skills with a strong sense of ownership.
Preferred Attributes
Interest in supporting diverse technology areas and learning new domains.
Ability to work independently and within global teams.
Proactive approach to automation and process improvement.
Experience with AWS or other cloud platforms.
Exposure to crypto assets or crypto markets.
QRT is an equal opportunity employer. We value diversity and foster an open, respectful environment that supports collaboration, professional growth and a healthy work-life balance.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Atlanta, US
Denver, US
Washington DC, US
Applications will be accepted until November 23, 2026.
About the Role
We are seeking a DCIM Administrator to build and run our Data Center Infrastructure Management program. This technical role is part of the Infrastructure Operations organization, which is responsible for building, scaling, and running one of the world's largest and most important cloud networks. Cloudflare’s global network spans more than 330 cities, and is a key strategic asset that supports all of our customers and products.
You are the operational backbone and workflow gatekeeper for all physical changes across our global network. Your meticulous work ensures every Move, Add, and Change (MAC) is executed only through a validated Nlyte work order, driving the highest level of data accuracy essential for supporting our edge and core security and performance services.
We operate in a fast-paced environment where you will be expected to drive both project delivery and operational excellence through continuous improvement, standardization, and optimization. This isn't just about day to day operations; it's about building a scalable, performant, secure, and resilient infrastructure that plays a critical role in us building a better Internet.
Responsibilities
Assist with the successful deployment of CAPEX investments, ensuring our infrastructure scales ahead of demand.
Collaborate with cross-functional partners including Project Managers, Capacity Planning, Finance, and Security to deliver on ambitious group initiatives.
Manage key third-party vendors and contractors, holding them accountable for performance and service level agreements (SLAs).
Be a role model and champion for continuous improvement, standardization, optimization, and automation.
Workflow Execution: Administer and manage the Nlyte Workflow/Work Order processes, including; issuing, tracking, and closing all physical MAC tickets.
Enforce strict adherence to the defined process by global technicians.
Data Integrity Champion: Perform daily data entry, manage automated asset discovery tools, and reconcile physical inventory against Nlyte records to guarantee 99.5%+ accuracy.
Asset Lifecycle Management (ALM): Own the entire asset data chain from receiving (scanning/logging) through deployment and decommissioning.
Model Library Management: Maintain the Nlyte Materials Catalog, ensuring all new hardware models have precise, validated resource profiles (power, cooling, rack elevations) to enable Analyst validation.
Field Training & Support: Provide hands-on training and support for global technicians on using the Nlyte mobile app, scanning tools, and required workflow procedures.
Desirable Skills, Knowledge, and Experience
You are a DCIM expert, highly organized and efficient operator. You have a track record of driving operational excellence through establishing and enforcing standard operating procedures and continuous improvement efforts. You are passionate about asset management and obsessed over data accuracy. This role is for hands-on asset and infrastructure administrators who can rapidly learn, adapt, and apply learnings to enable fast and sustainable growth. You thrive in a hyper-growth environment and have an outstanding ability to get things done under pressure while maintaining optimism and grit.
You are Transparent; you ensure every physical action is accurately logged and instantly visible to stakeholders globally. You are Principled; you have an uncompromising commitment to data integrity and refuse to bypass established workflows.
Education:
Bachelor's degree in Information Technology, Logistics, Manufacturing, Business Administration, or a related field, or equivalent practical experience.
Experience:
4+ years of hands-on experience in IT Asset Management or DCIM administration (Nlyte experience is a strong advantage).
Direct experience administering a workflow or change management system, with a focus on discipline and process enforcement in a multi-site environment.
Experience with change management in ERP and asset management transformation efforts.
Experience operating in a high-velocity environment involving geographic dispersed Data Centers across various time zones.
Technical Competencies:
High proficiency in physical inventory control, including barcode/RFID systems.
Deep familiarity with data center infrastructure, including server hardware, network hardware, rack elevation/density, and power distribution
Knowledge of structured cabling, and cabling standards.
Advanced proficiency in Excel (VLOOKUP, Pivot Tables) or basic SQL.
Expert in workflow Management (MAC Process): Proven experience managing a high-volume Move, Add, Change queue.
Soft Skills:
Exceptional attention to detail and strong organizational skills.
Excellent problem-solving and root cause analysis capabilities.
Meticulous Attention to Detail: A "Zero-Defect" mindset regarding data entry.
Strong verbal and written communication skills.
Documentation & SOP Creation: Experience writing Standard Operating Procedures (SOPs) for remote hands technicians.
Remote Training Ability: Experience training or guiding remote teams.
Compensation
Compensation may be adjusted depending on work location.
For Colorado based hires: Estimated annual salary of $98,000 - $135,000
For Remote - Washington and Washington (Kirkland) based hires: Estimated annual salary of $120,000 - $165,000
For Washington D.C. based hires: Estimated annual salary of $120,000 - $165,000
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: San Francisco
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
As a Staff Engineer on the Core Infra team at Harvey, you will define how our database infrastructure operates and evolves across our legal AI platform. Harvey runs a global fleet of PostgreSQL databases spanning multiple regions and availability zones. You’ll own the technical strategy for this fleet—setting the standards for migration governance, driving architecture decisions for multi-region scaling, and establishing the operational practices that keep our data layer reliable as we grow.
This is a leadership role with deep hands-on expectations. You’ll partner directly with Principal and Staff Engineers on infrastructure roadmap decisions while also being the person who can diagnose a replication lag spike at 2am. You’ll build the migration review framework, define the tooling strategy, and raise the bar for how the entire engineering organization thinks about database safety and performance.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU'LL DO
- Migration Governance – Own the migration governance framework end-to-end—design the review workflow, CI gate checks, automated rollback procedures, and fleet-wide deployment sequencing that makes safe migrations the default across the org
- Architecture & Scaling – Drive the technical strategy for Harvey’s global database fleet—multi-region replication design, capacity planning, sharding and partitioning approaches, and fleet-wide observability as we scale into new markets
- Reliability & Performance – Own database reliability and performance at the fleet level—monitoring replication health, optimizing query performance, tuning vacuum and connection management, and building the alerting that gives us confidence across all production environments
- Platform & Tooling – Build self-service tooling and developer guardrails—migration dry-runs, schema diff previews, automated health checks, performance regression detection—so engineering teams can move fast without bottlenecking on a single DBA
- Incident Leadership – Lead database incident response and drive systemic improvements—triage production issues, run post-incident reviews, and turn lessons learned into durable process and tooling fixes
Even Better If You Can:
- Security & Compliance – Partner with Security and Compliance to design and enforce data-layer controls for SOC 2, GDPR, and data residency requirements—access controls, audit logging, encryption standards, and data lifecycle policies
- Strategic Partnership – Represent database engineering in vendor evaluations, build-vs-buy decisions, and technology strategy discussions with engineering leadership
- Team Building – Shape the database engineering function at Harvey—define the operating model, set the hiring bar, mentor engineers on database best practices, and build the culture where teams proactively think about data safety
WHAT YOU HAVE
- 10+ years of hands-on experience in database administration, database reliability engineering, or infrastructure engineering with PostgreSQL as your primary database, with demonstrated staff-level scope—you’ve set standards across teams, not just operated within one
- Expert-level PostgreSQL knowledge (required)—WAL mechanics, vacuum tuning, logical and physical replication, partitioning strategies, and the ability to debug production issues others can’t. PostgreSQL is our core database and deep fluency is non-negotiable
- Track record of building migration governance systems—not just reviewing migrations, but designing the frameworks, tooling, and organizational processes that make safe migrations the default
- Experience architecting database infrastructure for multi-region, high-availability environments—replication topologies, failover automation, and data consistency trade-offs at fleet scale
- Deep fluency with database observability—you’ve built monitoring strategies using Datadog, pganalyze, or custom instrumentation, and you know which metrics actually predict incidents
- Experience leading database major version upgrades (e.g., PostgreSQL 14 → 16) or sharding initiatives in production with zero downtime
- Proven ability to influence technical direction across teams without direct authority—you’ve written RFCs, set standards, and changed how an engineering organization thinks about database operations
- Proficiency with cloud database services at scale (Azure Database for PostgreSQL, GCP Cloud SQL, or AWS RDS/Aurora) and infrastructure-as-code (Terraform, Pulumi)
- Clear communication across audiences—you can present a database architecture decision to the VP of Engineering and explain a migration risk to a junior developer with equal clarity
Bonus
- Strong software engineering skills (Python, Go, or similar)—you build production-grade tooling and automation, not one-off scripts
- Exposure to vector databases, embedding storage, or adjacent systems (Redis, Elasticsearch, Kafka) relevant to AI/ML workloads in regulated industries
- Background building or leading a database engineering function from scratch — defining the team charter, hiring, and operating model
COMPENSATION
$190,720 - $350,000
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-AN2
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: Redwood City, CA, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box has a world class security organization responsible for protecting our customer and employee data around the globe. We are looking for a Senior Enterprise AI Security Engineer to join our Enterprise Security team and own how Box adopts AI internally — safely, quickly, and at scale.
This role pairs enterprise security architecture with hands-on engineering. You will assess the AI tools and agent workflows Boxers want to use, then convert each assessment into a control that holds for everyone who adopts something similar later. You do not need to have trained a model, but you do need working intuition for the failure modes: an agent handed more authority than its task requires, untrusted text arriving as instructions, or company data leaving quietly inside an API call.
You will partner closely with IT, Infrastructure, Incident Response, Legal, Privacy, and the business functions piloting AI, shaping the technical direction of Box's secure AI adoption program.
WHAT YOU'LL DO
Core Mission
Design, build, deploy, and maintain comprehensive security systems that allow Box's workforce use AI tools and agents productively without losing visibility, identity boundaries, or control of company data.
Architect and operate the control plane for workforce AI: AI gateways, prompt and response logging, and egress controls across approved assistants and copilots/agents
Extend identity and access management to agentic and non-human identities — scoping, credential lifecycle, delegation, OAuth grant review, and revocation for agents and connectors reaching into corporate SaaS
Gate what internal agents can reach: an approval path for MCP servers and connectors, scoped permissions per tool, and isolated execution for anything that runs code
Harden the AI-era endpoint and browser layer: enterprise browser policy, extension governance, AI-assisted developer tooling, and local agent runtimes
Build the shared enforcement layer — policy engines, brokers, approval registries, internal libraries — that catches risky behavior in flight: injected instructions, attempts to talk around a restriction, tools used outside their intended purpose, sensitive data heading somewhere it should not, and agents behaving nothing like they did last week
Lead security architecture reviews and threat modeling for AI vendors, AI features enabled inside existing SaaS platforms, and internal agent deployments, tracing where untrusted content, company data, and privileged credentials meet in each one
Own the standards, reference architectures, and paved paths that define what approved AI usage concretely means at Box, and build reusable patterns
Partner with IT, Infrastructure, Incident Response, Engineering, Legal, and Privacy to mature AI governance, including AI-specific response playbooks
Automate through scripting, infrastructure-as-code, and orchestration instead of manual review queues, and bring AI-assisted investigation tooling to the security team itself
Help raise the technical bar across the team through design and code review, mentoring and guidance
Future Focus
This role is for a security engineer who can meet today's adoption requests while building for fleets of agents acting on behalf of employees, delegated authority across systems of record, and corporate data flowing through models. Your work will directly shape how Box secures its people, protects customer data, and holds its position as a trusted leader in intelligent content management.
WHO YOU ARE
Box is an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box, while providing safe adoption patterns for the company.
You are a security professional with:
Bachelor's or Master's degree in computer science, information security, or a related field, or equivalent practical experience
6+ years in enterprise or corporate security engineering, security platform engineering, application or product security, or a combination — with meaningful recent time spent on AI or agentic systems
Hands-on experience securing real AI deployments — enterprise assistants, internal agents and the tool ecosystems around them, grounded search or RAG over company data, or AI coding tools inside a developer environment
A working mental model of how AI systems get abused and paired with the ability to analyze AI workflows to determine guardrails.
Strong identity and access management fundamentals
Experience with security automation in Python, Go, or a similar language, and a track record of building tooling, libraries, or platform controls
Fluency in the emerging problems of this space: shadow AI, agentic and non-human identity, SaaS-to-SaaS integration risk, browser security, and data exfiltration paths
Exceptional communication skills, with the ability to explain AI risk and its business impact to practitioners
Proven ability to work independently with autonomy, manage ambiguity, and recommend secure but risk-profiled decisions
Nice to have
A track record of shipping internal security platforms
Exposure to isolation and permissioning for autonomous workloads, or to AI red teaming and evaluation work
BENEFITS
Visit this webpage to check out all of our exciting healthcare benefits:
https://join.collectivehealth.com/box
For all other benefits, please check out:
Box Benefits + Perks
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
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, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#LI-Hybrid
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Chicago Pay Range
$190,000
—
$237,500 USD
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$211,000
—
$263,000 USD
Location: British Columbia
Workplace: remote
ABOUT YOU
We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews.
Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms (payments, e-commerce, SaaS, or gaming). The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role.
If you're passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets.
Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com).
Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure.
During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence.
Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates.
Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio.
Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis.
Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management.
Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents.
Qualifications & Skills:
6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems.
Experience in the gaming industry is required. Payments or fintech industry experience is a plus.
Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure.
Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism.
Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows.
Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring.
Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence.
Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams.
Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required.
Nice to Have:
Experience with customer/partner-facing incident communications and status page management.
JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions.
Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs.
Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences.
Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems.
ITIL certification (Foundation or higher) is a plus but not required.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Technical Service Operations Lead (TSO Lead), we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
The listed range is specific to British Columbia and varies based on factors such as location and experience.
ОфисleadZurich
УдалённоseniorRemote - United States
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New York City, NY | Seattle, WA; San Francisco, CA
seniorBerlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia
Brazil; For applicants from the European Union, please review
ГибридseniorLondon; New York; Edinburgh; Paris; Toronto; Montreal; For this role you need to have ~50% working day overlap with UK/EU timezone (e.g; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
seniorNew York
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
Sydney
Experience operating in a high-velocity environment involving geographic dispersed Data Centers across various time zones
ГибридSan Francisco; We use an in-person work model and offer relocation assistance to new employees
seniorRedwood City, CA, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
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