Location: Lagos, Nigeria
Role Summary
The Card Product Analyst supports the development and optimization of card products by analyzing product performance, customer behavior, and financial metrics. The role provides insights that inform product strategy, pricing, and portfolio growth.
Key Responsibilities
Product Performance Analysis
· Monitor card portfolio performance including spend, activation, utilization, and revenue.
· Track KPIs such as card issuance, transaction volumes, and interchange income.
Data Analysis & Insights
· Analyze customer usage patterns and spending behaviors.
· Provide insights to support product enhancements and marketing campaigns.
Reporting & Dashboard Management
· Develop and maintain product performance dashboards.
· Prepare regular reports for management and stakeholders.
Pricing & Profitability Analysis
· Support pricing strategy through revenue and cost analysis.
· Evaluate profitability across different card products and customer segments.
Product Development Support
· Assist in business case development for new card products.
· Support product launch initiatives with data analysis and performance tracking.
Requirements
· Bachelor’s degree in Finance, Economics, Data Analytics, or related field.
· 2–4 years experience in product analytics, banking analytics, or payments analytics.
· Strong experience with Excel, SQL, Power BI, or similar tools.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Senior Software Engineer, Billing on this team will keep systems running, help define what safe, observable, AI-assisted infrastructure operations look like in practice, and model that standard for the rest of the team.
_______________________________________________________________________
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?_______________________________________________________________________
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; contribute to module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Implement deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks in the team's systems and drive improvements, including work that reaches into adjacent teams or services
- Participate in incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers on the team; your technical judgment should help raise the bar for how the team builds and operates
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QUALIFICATIONS
- 6+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Strong AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Strong Terraform skills; you've built reusable module patterns and can improve the ones a team relies on
- Experience building and owning observability stacks (Datadog, Grafana, or similar) for production services — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements within your team and adjacent systems
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; clear written communication is how you scale your work across the team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
ON-CALL
Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected the systems your team owns, and you know how to build alignment and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
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WHAT TO EXPECT
First 30 days
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
First 90 days
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and will be contributing to the team's technical direction.
One year outlook
You will be one of the team's go-to engineers on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $160,900 – $260,700 base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco; Palo Alto
PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in enterprise industries.
- Envision new experiences and deliver a long-term vision.
- Understanding of levers for product-led growth and retention.
- Work closely with engineering and design to align product expectations and capabilities.
- Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
- Work with data and user research to understand quantitative and qualitative data.
- Have conviction to make difficult product decisions in the face of uncertainty.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience with productivity and knowledge work products.
- Experience with prototyping and data visualization.
- Experience with building data driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; Palo Alto
PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in enterprise industries.
- Envision new experiences and deliver a long-term vision.
- Understanding of levers for product-led growth and retention.
- Work closely with engineering and design to align product expectations and capabilities.
- Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
- Work with data and user research to understand quantitative and qualitative data.
- Have conviction to make difficult product decisions in the face of uncertainty.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience with productivity and knowledge work products.
- Experience with prototyping and data visualization.
- Experience with building data driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: USA (Remote); Washington (Remote); New York, NY (Remote); Massachusetts (Remote); Indiana (Remote)
Workplace: Remote
The Production Team at LILT:
LILT’s Production Team is a global workforce, operating across four continents. We are passionate about localization and making information accessible to all. The Team spans project management, program management, quality, and talent management, working with some of the world’s largest organizations.
Working in LILT’s Production Team you will have access to leading tools, collaborative teammates, and opportunities to make a real impact.
What You’ll Do:
The Project Manager, Production ensures successful production execution across a portfolio of Life Science accounts. This role is a fundamental component of the production life cycle, ensuring projects are delivered on-time, on budget and to accepted quality standards. The Project Manager, Production will have customer facing production duties as well as internal responsibility to delegate project coordination and administrative work to teams of Production Coordinators.
Key Responsibilities:
- Able to complete project management tasks autonomously
- Responsible for maintaining resources, core teams and pipeline to support project management work
- Responsiveness to internal and external comms within pre-defined SLAs
- Risk analysis to identify risks, potential issues, plan to and mitigate them
- Able to define and delegate admin work to PCs Interns
- Able to take responsibility for end to end project deliverables in accordance with SLAs
- Effectively balances and manages priorities across a variety of task types and customers
- Establishes deadlines /ensures deadlines are feasible and completes tasks by said deadlines
- Escalates issues or problems to manager in an effective manner, along with proposed solutions
- Asks pertinent questions to ensure full comprehension of the task in hand; Strictly follows Production SOPs and best practices. Responsible for CM, Quality and OTD KPIs.
- Manage the end to end project management workflow
- Ensure all projects are delivered on time as per customer SLA
- Manage quality at project level - including Review, Verification, QA, LQE
- Responds quickly and efficiently to internal and external stakeholders
- Ensure all system admin, including data entry, is accurate
- Process and approves invoicing and payments
- Perform file analysis and engages with Solutions team for support on file types
- Creates and monitors linguistic assets (TM, Style Guides, reference material)
- Demonstrates a deep understanding of all production workflows and processes related to their accounts
- Utilize systems and tools released by Production Enablement
- Train supporting resources on key production processes and methodology
- Develop and maintain process documentation related to their task load and the tasks delegated to other resources.
- Consistently follow correct protocols for tasks and accounts.
- Monitor and enforce adherence to correct production procedures
- Provides insight to Strategist into revenue forecasts based on production volume
- Manage quality complaints and feedback received from stakeholders
- Raise Customer Support tickets for 100% of production blockers (Jira)
- Identifies resource requirements for production work
- Performs self-sourcing in our existing vendor database and enters sourcing requests when new vendors are needed
- Completes ongoing risk assessment and mitigation for all production areas.
- Manage linguist communication for all projects
Skills and Experience:
- A Bachelor’s degree, or equivalent; Master’s degree preferred
- 2+ years of proven project management experience in clinical trials localization preferred
- Excellent client-facing and internal communication skills
- Solid organizational skills including meticulous attention to detail and multitasking skills
- Able to meet deadlines and work under pressure
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Georgia
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.
WHAT YOU WILL DO
- Collaborate with cross-functional teams to design and build AI Agentic solutions.
- Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
- Take ownership of assigned tasks and deliver high-quality, maintainable code.
- Manage backend tasks while contributing to frontend development.
- Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.
EXPERIENCE AND SKILLS YOU NEED TO JOIN US
- Experience in full-stack development using mainly NodeJS (with TypeScript).
- At least 1 year of experience in AI Engineering role.
- Versatile in technology use, comfortable working across backend and frontend tasks.
- Track record in staying current with AI and Agentic technologies, including best practices and architecture.
- Openness to client collaboration, fostering clear communication and effective partnership.
- Strong commitment to learning new technologies and swiftly adapting to new products and APIs.
- Understanding of Retrieval-Augmented Generation (RAG) and its applications.
- Familiarity with Multi-Agents concept, tools usage and MCP Servers.
- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).
- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.
- Understanding of prompt design principles and an ability to create effective prompts.
- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).
- Basic experience with CI/CD pipelines and DevOps best practices.
- Competence in REST API usage and efficient database integration.
- Fluency in English language.
IT WOULD BE GREAT IF YOU ALSO HAVE
- Basic knowledge of machine learning principles.
- Understanding Python source code.
- Experience with React.
- Experience with model fine-tuning and distillation.
- Familiarity with LLM evaluation.
- Experience with Model Context Protocol (MCP).
- Experience with graph databases.
- Familiarity with other programming languages and frameworks.
- Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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.
We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software.
You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL).
In this role you will
Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
Support complex performance-related escalations from internal teams and customers
Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations
We expect you to have:
5+ years of professional experience in
system-level software development
(focused on performance optimization, low-level programming).
3+ years of hands-on experience with
Linux systems
(administration, troubleshooting, and performance tuning).
In-depth understanding
of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
Strong proficiency in one or more
performance-oriented programming languages
(C/C++, Go, Python).
We conduct coding interviews as part of the process.
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.
#LI-LH2
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$170,000
—
$300,000 USD
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; Stockholm; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure: from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment.
You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design.
This is a hands-on, deeply technical role focused on real systems, not compliance or policy.
WHAT YOU’LL WORK ON:
Platform & Runtime Security
- Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments)
- Strengthen boundaries between customers, workloads, and internal systems
- Identify and mitigate risks in distributed, dynamic compute environments
Container & Orchestration Security
- Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar)
- Improve workload isolation, scheduling boundaries, and runtime protections
- Evaluate tradeoffs in multi-tenant execution models
Identity & Access Management
- Design and improve authentication and authorization systems across services
- Implement strong service-to-service identity and least-privilege access patterns
- Improve access controls across infrastructure and internal systems
Secrets & Key Management
- Build and maintain systems for securely managing secrets, tokens, and credentials
- Improve rotation, auditing, and access controls
- Reduce secret sprawl and integrate secure patterns into developer workflows
Cloud & Infrastructure Security
- Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability
- Improve network boundaries, service segmentation, and access controls
- Embed security into infrastructure-as-code and deployment systems
Engineering Partnership
- Work closely with product and infrastructure teams to design secure systems from the ground up
- Review architecture and code for security risks and provide actionable guidance
- Identify patterns in risks and drive cross-cutting improvements
YOU MAY BE A FIT IF:
Core Experience
- You have experience securing cloud-native infrastructure and distributed systems in production
- You have a background in infrastructure, backend, or security engineering
- You’ve worked in multi-tenant or high-scale environments
Technical Depth
- You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar)
- You’ve designed or secured isolation mechanisms in multi-tenant systems
- You have a solid understanding of authentication, authorization, and service identity models
- You have experience with secrets management and secure handling of credentials
- You have a strong foundation in networking concepts (segmentation, service communication, access boundaries)
Mindset
- You have a builder mentality: you design and implement, not just review
- You take a pragmatic approach to security in fast-moving environments
- You’re comfortable working deeply with engineers and influencing system design
NICE-TO-HAVE:
- Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar)
- Familiarity with kernel-level or low-level isolation primitives
- Experience securing Kubernetes or similar orchestration systems in production
- Background in developer infrastructure, compute platforms, or multi-tenant systems
Location: Dubai, United Arab Emirates
Müller's Solutions is seeking a Senior AI Maturity & Readiness Consultant for a 6-month contract role. In this position, you will work closely with clients to assess their current AI capabilities, develop strategic roadmaps, and prepare organizations for successful AI adoption and scaling. Your expertise will guide businesses to enhance their AI maturity and ensure operational readiness, enabling them to leverage AI technologies effectively and responsibly.
Key Responsibilities:
Assess clients' current AI maturity levels through comprehensive evaluations of processes, technologies, data infrastructure, and organizational readiness.
Develop detailed AI readiness frameworks and strategic roadmaps tailored to client goals and industry requirements.
Provide expert guidance on best practices for AI implementation, governance, and ethical considerations.
Collaborate with cross-functional teams to identify gaps, risks, and opportunities related to AI adoption.
Facilitate workshops and training sessions to enhance client understanding of AI technologies and their impact.
Monitor emerging AI trends and evolving technologies to offer up-to-date advice and innovative solutions.
Support clients in developing change management strategies to foster an AI-ready culture within their organizations.
Requirements
Requirements:
Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Minimum of 7 years of experience in AI strategy, AI consulting, or related roles.
Proven track record of assessing AI maturity and developing AI readiness frameworks.
Strong understanding of AI technologies, machine learning, data management, and AI ethics.
Experience working with cross-functional teams and stakeholders at various organizational levels.
Excellent communication, presentation, and facilitation skills.
Ability to manage consulting engagements independently within the 6-month contract period.
Strong analytical and problem-solving skills, with a strategic mindset.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Dubai, United Arab Emirates
Müller's Solutions is seeking a seasoned Senior AI Framework & Strategy Consultant for a 6-month contract. In this pivotal role, you will build AI Frameworks and Strategic Planning , lead the development and implementation of AI strategies that align with our clients’ business goals. You will provide expert guidance on AI frameworks, deployment methodologies, and technological innovations to drive digital transformation and competitive advantage. This role requires a blend of strategic vision, deep technical expertise, and proven consulting experience.
Responsibilities:
Building AI Frameworks and Strategic Planning.
Develop comprehensive AI strategies and frameworks tailored to client business objectives and technological environments.
Advise clients on AI technology selection, integration, and implementation best practices.
Lead workshops and training sessions to educate client teams on AI capabilities, benefits, and governance.
Collaborate with multi-disciplinary teams to design AI-driven solutions addressing complex business challenges.
Stay current with emerging AI trends, tools, and ethical considerations to provide forward-looking guidance.
Evaluate existing AI solutions and recommend enhancements to optimize performance and scalability.
Support business development efforts through thought leadership, proposal development, and client engagement.
Requirements
Master’s degree or higher in Artificial Intelligence, Computer Science, Data Science, or a related field.
At least 8 years of experience in AI strategy development, consulting, or implementation roles.
Strong expertise in AI frameworks, machine learning algorithms, and deployment methodologies.
Proven track record of leading AI projects and delivering measurable business value.
Excellent communication skills, capable of articulating complex AI concepts to technical and non-technical stakeholders.
Experience conducting workshops and facilitating training sessions.
Ability to stay ahead of AI technology trends and apply innovative solutions creatively.
Familiarity with AI ethics, governance, and compliance considerations.
Consulting experience with multinational clients and diverse industries is a plus.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Bengaluru, India
NetWitness is revolutionizing how organizations detect, investigate, and respond to cyber threats. As a leader in SIEM (Security Information and Event Management) and NDR (Network Detection and Response), plus Extended Detection & Response (XDR), we're not just another cybersecurity vendor - we're the unified platform that gives security analysts unrivaled visibility into sophisticated threats hiding in today's complex, hybrid IT infrastructures.
As a Sales Engineer, you will play a pivotal role in driving the adoption of our solutions and services. You will work closely with customers as their trusted advisor, and with the sales team to provide technical expertise and support throughout the sales process. Your deep understanding of our products, services, and the cybersecurity landscape will enable you to effectively address customer needs and demonstrate the value of our solutions. You will also participate and speak at trade shows, seminars, and other marketing events where the company is actively participating.
Responsibilities:
Serve as the primary technical point of contact throughout the sales cycle.
Collaborate with the sales team to develop and execute successful sales strategies.
Conduct in-depth technical presentations and product demonstrations, effectively communicating the technical capabilities and business value of the Company solutions.
Build and maintain strong technical relationships with key customer stakeholders and be the customer’s trusted advisor.
Understand customer's security challenges, technical requirements, and existing infrastructure to propose tailored solutions.
Design, deploy, and manage Proof-of-Concepts (POCs) and evaluations, ensuring successful outcomes and demonstrating the effectiveness of the Company solutions.
Assist in the creation of technical documentation, proposals, and RFP responses.
Deliver health-checks and workshops for existing customers, retaining and expanding their footprint.
Develop and maintain a thorough understanding of our products, competitive landscape, and industry trends.
Stay up to date on the latest cybersecurity threats, attacks, and trends.
Work closely with the product management and engineering teams to relay customer feedback, market trends, and contribute to product development.
Participate in industry events, trade shows, and conferences to promote our solutions and generate leads.
Own and maintain the technical relationship with the Company partners community within the assigned territory.
Provide technical training and support to sales team members and partners
Requirements
3+ years of experience in a sales engineering, technical pre-sales, security consulting, or similar roles in the cybersecurity industry.
Excellent communication and presentation skills, with the ability to adapt and convey complex technical concepts to both technical and non-technical audiences.
Deep understanding of networking protocols, network security concepts, and security architectures.
Strong knowledge of threat detection methodologies, incident response processes, and common attack vectors.
Experience with Threat Detection and Response solutions, such as SIEM, NDR, EDR, UEBA, and SOAR.
Proven ability to conduct effective product demonstrations and POCs.
Proven track record of supporting successful sales cycles and achieving sales targets.
Industry certifications such as CISSP, CEH, SANS, or similar are a plus.
Familiarity with Linux CLI and basic scripting/programming skills.
Willingness to travel as needed to meet with customers and attend industry events.
Team player, with a genuine collaborative attitude and willingness to share with and inspire others.
Location: Morocco
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English and Arabic (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Dhahran, Saudi Arabia
Eram Talent is seeking a skilled Mechanical Engineer - Pipelines (EPC) to join their team. The successful candidate will be responsible for the design, analysis, and execution of pipeline projects within the Engineering, Procurement, and Construction (EPC) sector, ensuring adherence to industry standards and project requirements.
Responsibilities
Design and develop pipeline systems, including material selection, stress analysis, and fabrication.
Coordinate with multidisciplinary teams to ensure seamless project execution.
Review and approve engineering documents, drawings, and specifications related to pipeline projects.
Conduct site visits to oversee installation and commissioning of pipeline systems.
Ensure compliance with safety regulations, codes, and industry standards.
Support procurement activities by providing technical specifications and vendor evaluations.
Assist in troubleshooting and resolving technical issues during construction and commissioning phases.
Requirements
Bachelor's degree in Mechanical Engineering or related field.
Minimum of 12 years of experience in mechanical engineering, specifically in pipeline design, project management and EPC projects.
Proficiency in pipeline design software and tools such as AutoCAD, CAESAR II, or similar.
Strong knowledge of pipeline codes and standards (e.g., ASME, API).
Experience in project management and coordination within EPC environments.
Excellent analytical, communication, and problem-solving skills.
Ability to work effectively in a team and manage multiple tasks under tight deadlines.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Tbilisi, Georgia
Workplace: remote
Novakid is on a mission to build the best online education platform for kids worldwide. We already have over 100,000 students and 4,500 teachers in 15+ countries across Asia, Europe and Latin America, and we want to grow faster.
We are looking for a Product Analyst for our Growth squad. The squad owns the product side of the funnel, from the first visit to the first payment. You will spend most of your time as its analyst, working alongside marketing analytics, who own channels and attribution.
What you will do:
Own the funnel metrics from visit to payment and shape the squad’s roadmap with the PM
Run the experiment cycle: decide whether an idea needs a test, size it on historical data, design and read A/B tests in GrowthBook, and use region-level comparisons where a classic A/B does not fit
Build and maintain dbt models with tests and code review, and Metabase dashboards on top of them
Keep funnel tracking reliable by defining events and data contracts with backend engineers
Develop and support our AI analytics assistant: own the Growth domain in its knowledge base, review its answers and fix what it gets wrong
Take requests from other teams through the analytics team’s shared intake
Our stack:
BigQuery, dbt, Metabase, GrowthBook, Bloomreach, Python, git with pull-request review. Claude Code/Cursor are part of daily work.
You have
3+ years as a Product Analyst, preferably in B2C or a fast-growing company
Excellent SQL and hands-on experience building data marts, ideally in dbt
Python for analysis (pandas, numpy, scipy or statsmodels)
A/B testing from design to evaluation: power, variance reduction, multiple-testing correction
A solid grasp of funnel and unit economics in a subscription business
The habit of turning analysis into a decision and explaining it clearly
English B1+ for business communication
Nice to have
Causal inference or uplift modeling
Applied ML in a business context
Experience building or evaluating LLM-based tools
What you get
Fully remote work
A chance to shape the future of AI-driven education
Ownership of the acquisition funnel and its metrics, not a ticket queue
Dedicated time for analytics infrastructure, not only squad requests
A fun, dynamic team that loves building innovative products
Unlimited holidays – because we trust you to deliver
Bonuses and stock options – we grow together
Location: Colombia; Argentina; Mexico; Honduras; Peru
Job Title:
Talent Acquisition Team Leader
Location:
Remote (Open to all LATAM Countries)
Employment Type:
Contractual
Work Schedule:
8:00 AM – 5:00 PM PT
Reports to:
Talent Acquisition Director
Overview:
We are seeking a highly motivated and detail-oriented Talent Acquisition Team Leader to support our Talent Acquisition Director in overseeing recruitment operations. This role is ideal for someone who is proactive, organized, and possesses strong leadership, communication, and problem-solving skills. The Talent Acquisition Team Lead will play a key role in ensuring team performance, maintaining quality standards, and driving continuous improvement across the recruitment process.
Key Responsibilities:
Support the Talent Acquisition Director in managing the day-to-day operations of the recruitment team
Monitor team performance and ensure KPIs (e.g., time-to-fill, submissions, interview-to-hire ratios) are consistently met
Ensure recruiting processes and best practices are strictly followed across the team
Evaluate interviews conducted by recruiters and provide feedback to improve quality and effectiveness
Conduct regular quality checks on candidate profiles before submission to ensure alignment with role requirements and client expectations
Train, mentor, and onboard Talent Acquisition Specialists to enhance their skills and performance
Identify performance gaps and implement coaching or corrective actions as needed
Collaborate with internal stakeholders to ensure smooth communication and alignment throughout the hiring process
Assist in developing and improving recruitment strategies, workflows, and standards
Maintain high standards of professionalism, accountability, and team morale
Qualifications:
Proven experience in Talent Acquisition, Recruitment, or a similar role, with exposure to team management or leadership responsibilities
Strong understanding of recruiting metrics and performance management
Experience in training, mentoring, or coaching recruiters or Talent Acquisition Specialists
Excellent communication skills (both verbal and written)
Strong attention to detail and ability to assess candidate quality effectively
Highly organized with the ability to manage multiple priorities in a fast-paced environment
Problem-solving mindset with a proactive and positive attitude
Ability to enforce processes while maintaining strong working relationships with the team
What We’re Looking For:
Someone who is smart, resourceful, and takes ownership of their work
A strong team player with a great attitude and a high level of professionalism
A leader who can balance accountability with support and mentorship
A clear and confident communicator who can work effectively across all levels
Someone who’s willing to learn and has a “can-do” attitude.
Budget: $1000-1200/month
Location: San Francisco, CA | New York City, NY
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
Support customers building with the Claude API, Claude Code, and Claude for Enterprise
Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
Build reusable blueprints, demos, and enablement assets that scale across customers
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$240,000
—
$315,000 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.
San Francisco; Palo Alto
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