You will collaborate with Electrical, RF, and Programmable Logic (PL) engineers to build high-performance hardware/software interfaces, and work with the wider software organization to integrate electromagnetic warfare products with the Anduril Lattice system-of-systems suite. The role also includes building Linux-side CLI tools in Rust for calibration, deployment, and diagnostics, and applying state-of-the-art software construction techniques to rapidly deploy cutting-edge capabilities to our customers.

Responsibilities:

• Participate in system design, part selection, and schematic reviews for product revisions and greenfield products
• Write and maintain device drivers for microcontroller peripherals and external ICs
• Implement bootloaders and over-the-air (OTA) update mechanisms
• Build deterministic, reproducible firmware builds and configuration management for deployment, guaranteeing software traceability
• Test software using unit, software-in-the-loop (SITL), hardware-in-the-loop (HITL), and system-level methodologies
• Use software debugging tools (probe-rs, OpenOCD, GDB/LLDB) and hardware debugging tools (logic analyzers, oscilloscopes, multimeters, soldering)
• Collaborate with FPGA/PL engineers on register interfaces and hardware/software integration

Required Qualifications:

• 2+ years professional experience in embedded software and/or firmware engineering
• Strong proficiency in Rust for embedded systems, including no_std and embedded-hal ecosystem
• Comfortable working with microcontroller peripherals (SPI, I2C, UART, Ethernet, etc.) and data bus types (AXI, USB, etc.)
• Excellent technical communication and collaboration skills
• Must be able to obtain and hold a U.S. TS security clearance

Preferred Qualifications:

• Experience with embedded async Rust frameworks (Embassy, RTIC)
• Proficiency in C for reading and interfacing with vendor HALs and legacy codebases
• Experience with software-defined digital radio systems
• Experience with industry standards bodies or open-source communities
• Experience measuring and enhancing performance related to speed, size, power consumption, and cost
• Experience with Nix/NixOS
• Understanding of functional programming languages like Haskell

US Salary Range $129,000-$171,000 USD

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To manage, validate, and optimise supplier rebates and commercial income streams, ensuring accuracy, compliance with contractual terms, and timely recovery of all due revenue.

Key Responsibilities

• Rebate Management

Track and calculate supplier rebates in line with contractual agreements

Maintain a centralised rebate tracker across all suppliers and business units

Ensure all rebate opportunities are captured and maximised

• Validation & Reconciliation

Reconcile supplier statements against internal data (spend, volume, pricing)

Identify discrepancies and challenge suppliers where required

Ensure accurate accruals and recovery of income

• Contract & Commercial Support

Review supplier contracts to extract rebate terms and conditions

Support procurement teams in structuring commercially beneficial agreements

Ensure rebate mechanisms are clearly defined and enforceable

• Stakeholder Management

Work closely with Procurement, Finance, and Operations teams

Provide regular reporting on rebate performance and recovery status

Support senior stakeholders with insights on supplier income

• Reporting & Analysis

Produce monthly reports on:

Rebates earned vs received

Outstanding claims

Forecasted income

Identify trends and opportunities for improvement

• Process Improvement & Governance

Develop and standardise rebate tracking processes

Ensure audit-ready documentation and compliance

Reduce revenue leakage through improved controls

Key Skills & Experience

• Strong analytical and reconciliation skills

Experience in commercial finance, procurement, or supplier management

Ability to interpret contracts and commercial terms

High attention to detail and accuracy

Strong Excel / data analysis capability

Confident stakeholder management and ability to challenge suppliers

Desirable

• Experience with rebate/income tracking in FM or procurement environments

Familiarity with ERP systems (SAP, Oracle, etc.)

Understanding of ESG-linked rebates or sustainability incentives

Success Measures

• % of rebates recovered vs contracted

Reduction in missed or unclaimed rebates

Accuracy of reporting and accruals

Timeliness of claims and reconciliations

Benefits

We're proud to offer a great range of benefits including:

24/7 GP: Both you and your immediate family can speak to a UK-based GP from the comfort of your own home

Mental Health support and Life Event Counseling

Get Fit Programme

Financial and legal support

Cycle to work scheme

Access Perks at Work, our innovative employee app where you can find:

Perks: discounts, gift cards, cashback, and exclusive offers

Life: Search for resources and tools on topics ranging from family and life to health, money and work

Support: Online chat or telephone service for urgent support in a crisis

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In this role, you will have the opportunity to work on the introduction of Verse, a new programming language created by Epic, designed to write game experiences at the scale of the metaverse.

To be successful in this role, you will need to have experience in developing compilers and toolchains, mastery of C++, advanced knowledge of software design principles, particularly interface programming, and experience in developing large codebases at a rapid pace.

At Epic Games, we offer a comprehensive benefits package, including 100% paid premiums for employee and dependent benefits, additional coverage for medical, dental, and vision care, critical illness, telemedicine, life insurance, death and disability insurance, and long-term disability insurance. We also offer a weekly indemnity (short-term disability) and a retirement savings plan with employer matching contributions. In addition to our employee assistance program, we offer a comprehensive well-being program through Modern Health, which provides free therapy and coaching services to employees and dependents.

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As a Senior DevEx Engineer, you will maintain and evolve our complex TypeScript monorepo, own the build and test pipelines, drive code generation and type-safe interfaces, set standards for code quality, streamline development setup and onboarding, and work with platform teams to improve deployment processes and infrastructure integrations.

You will also partner with the AI team on our internal AI platform to improve the Agent's output and shape strategy around its default stack.

In this role, you will have agency and an accelerated career path as the team grows.

Responsibilities:

• Maintain and evolve our codebase structure
• Own the build and test pipelines
• Drive code generation and type-safe interfaces
• Set standards for code quality
• Streamline development setup and onboarding
• Work with platform teams to improve deployment processes and infrastructure integrations
• Partner with the AI team on our internal AI platform

Requirements:

• Experienced software engineer with a track record of improving developer productivity at scale
• Strong proficiency in TypeScript and/or Go and/or Nix
• Expertise in modern build systems and toolchains
• Proficiency with linters, formatters, testing frameworks, and code generation tools
• Experience managing monorepos or large-scale codebases

Nice to have:

• Experience building self-service developer platforms
• Experience with AI-native development workflows
• Open-source leadership or community contributions
• Prior tech lead experience

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At Epic Games, we're seeking a Senior Language Engineer to join our team. As a key member of our engineering team, you will be responsible for implementing the Verse programming language and integrating it with the Unreal Engine.

What You'll Do

• Build out and maintain the language compiler and tool chain
• Work closely with language consumers to ensure an exceptional user experience
• Design and maintain the scripting interface to the Unreal Engine
• Fix bugs and maintain the language code base

What We're Looking For

• Proficiency in C++
• Well-versed in software engineering principles, especially API design
• Experience developing in a large codebase at a fast pace, making tradeoffs between usability, performance, and power

Benefits

• 100% medical, dental, and vision insurance premiums covered for you and your dependents
• A 401(k) plan with a competitive match
• Unlimited PTO and sick time
• Paid sabbatical after 7 years of service
• A robust mental well-being program through Modern Health

Note: This job posting has been rewritten to focus on the job requirements and benefits, while removing any unnecessary information.

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As a Senior Language Programmer at Epic Games, you will be at the centre of our mission to enable the next generation of game developers. We are seeking someone with a passion for programming languages and their implementation.

PROGRAMMING - UNREAL ENGINE

Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide.

RESPONSIBILITIES

• Build out and maintain the language compiler and tool chain
• Work closely with language consumers to ensure an exceptional user experience
• Design and maintain the scripting interface to the Unreal Engine
• Fix bugs and maintain the language code base

REQUIREMENTS

• Proficiency in C++
• Well-versed in software programming principles, especially API design
• Experience developing in a large codebase at a fast pace, making tradeoffs between usability, performance, and power

BENEFITS

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

PAY TRANSPARENCY INFORMATION

The expected annual base pay range for this position in British Columbia is $201,282,$295,214 CAD.

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As a Technical Lead, Engine Systems, you will report to Principal Technical Director and own the evolution of performance-critical engine systems for Apex Legends. You will lead development across CPU performance, memory, load times, and platform systems while guiding a team of senior engineers. You will define technical direction, simplify complex systems, and deliver stable, scalable solutions that improve player experience and support live service operations.

Responsibilities:

• Lead and support senior engineers building core engine systems
• Define technical roadmap for performance, memory, and platform systems
• Plan large system changes while maintaining live service stability
• Optimise CPU, memory, streaming, and load time performance
• Architect and implement engine systems using C++
• Partner with design, audio, and animation teams on scalable solutions
• Collaborate with EA Central Tech and platform partners on integrations

Qualifications:

• 10+ years in game development with engine systems experience
• 3+ years leading engineers on complex technical initiatives
• Expertise in C/C++ and performance optimisation techniques
• Experience working across large, mature codebases
• Shipped at least one AAA title on console or PC
• Experience developing for Sony, Microsoft, or Nintendo platforms
• Skilled in debugging, profiling, and optimising live systems

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Responsibilities:

• Design and maintain core engine systems across multiple domains
• Own cross-cutting technical initiatives from design to release
• Optimise memory, CPU, and bandwidth across gameplay systems
• Debug and resolve complex issues in large-scale codebases
• Integrate platform and partner technologies into the engine
• Collaborate with design, art, and audio on feature development
• Mentor engineers through code reviews and technical guidance

Qualifications:

• 8+ years developing game engine or systems-level code
• Strong C/C++ experience in performance-critical systems
• Experience working in large, shared codebases
• Shipped at least one AAA game on console or PC
• Experience optimising memory, CPU, or runtime performance
• Experience developing on Sony, Microsoft, or Nintendo platforms
• Strong understanding of 3D math or simulation systems

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We are hiring a Machine Learning Engineer to join our Localization Data & AI team, reporting to the Localization Data & AI Manager. The Loc Data & AI team's mission is to empower EA Localization through intelligent, data-driven solutions,building scalable AI systems, streamlining ML operations, and creating tools that enhance the quality and efficiency of localized content.

This role focuses on designing, deploying, and maintaining ML models and infrastructure, collaborating closely with Data Engineers and Data Scientists.

Responsibilities

• Design, build, and maintain scalable and production-ready ML pipelines to support AI-driven localization workflows.
• Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
• Train, evaluate, and fine-tune models for NLP, Computer Vision, and other ML use cases.
• Deploy and monitor ML models in different environments, ensuring performance, scalability, and reliability.
• Develop preprocessing pipelines tailored to ML/DL tasks by working with large structured and unstructured datasets in multiple languages.
• Leverage MLOps best practices for versioning, testing, CI/CD, and monitoring of models (e.g., MLflow, Sagemaker, or VertexAI).
• Design, develop, and maintain API REST services using languages such as Python, .NET, and/or Node.js.
• Partner with Data Engineers and Data Scientists to ensure efficient data access and optimized feature engineering processes.
• Contribute to continuous model and system improvement through experiment tracking, feedback loops, and performance analysis.
• Conduct code reviews and ensure high-quality coding standards.
• Optimize applications for maximum speed and scalability.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure adherence to ethical AI and data governance standards.

Qualifications

• 2+ years of hands-on experience in Machine Learning Engineering.
• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related discipline.
• Strong Python programming skills, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Proficiency in building and deploying ML models in real-world applications.
• Familiarity with data processing frameworks (Pandas, NumPy) and orchestration tools (Airflow, Prefect).
• Solid understanding of model lifecycle management and MLOps tools (e.g., MLflow, VertexAI, SageMaker, AzureML).
• Experience working with APIs, RESTful services, and microservice-based architecture.
• Knowledge of NLP and Computer vision techniques and tools for multilingual data is a strong plus.
• Experience with cloud services (AWS, Azure, or GCP) for ML/DL development and deployment.
• Experience with WebAPI and RESTful services.
• Knowledge of software engineering best practices and tools (Gitlab and Github), such as Continuous Integration and Version Control (Git).
• Oversee and contribute to the underlying infrastructure that powers ML systems (e.g, Terraform) ensuring robust, maintainable, and secure foundations for scalable deployment.
• Strong debugging skills and fluent in reading code.
• Strong problem-solving skills, and ability to communicate technical concepts clearly with stakeholders.
• Excellent communication and collaboration skills, with the ability to translate data insights into business impact.

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You will maintain and evolve our codebase structure, own the build and test pipelines, drive code generation and type-safe interfaces across service boundaries, set the standards for code quality, streamline development setup and the onboarding experience, work with platform teams to improve deployment processes, infrastructure integrations, and external tooling, and keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools.

You will also partner with the AI team on our internal AI platform to improve the Agent's output and shape strategy around its default stack, and help manage dependencies both internal and external, including being the face of the company when interfacing with open-source libraries.

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As a Strategic Finance Lead, you will be a key partner to Corporate FP&A, Accounting, and Finance Systems, ensuring our compute financials integrate cleanly into the company plan, our models reconcile across pillars, and our leadership and board materials reflect a single, defensible source of truth.

Key responsibilities include:

• Consolidation & Reporting: owning consolidation and workback of the financial review cadences across all compute finance pillars into a single narrative for finance and compute leadership
• Operating Rhythm & Systems: owning the calendar and cadence between Compute Finance and Corporate FP&A , close, forecast, budget, and long-range plan handoffs
• Model Hygiene: driving model hygiene, version control, and central organisation of team financial models

Minimum qualifications include experience in FP&A, strategic finance, finance operations, consulting, or investment banking, preferably in a multi-business-unit or infrastructure-heavy environment. Exceptional analytical skills and the ability to reconcile complex models into a single defensible view are also required.

Preferred qualifications include 7+ years of experience in FP&A, strategic finance, finance operations, consulting, or investment banking, as well as experience with cost allocation / chargeback methodologies in a cloud or infrastructure context.

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In this role, you will act as a subject matter expert for business and functional areas, supporting them in implementing regulatory requirements, particularly in the context of MaRisk, DORA, and EBA guidelines.

As part of the Central Outsourcing Management team, you will monitor risks and performance of our IT and non-IT service providers, accompany the entire lifecycle of outsourcing, and ensure compliance with internal and external regulatory requirements.

You will work closely with other units of the Second Line of Defense and contribute to comprehensive risk management.

Responsibilities:

• Monitor, analyze, and evaluate risks associated with existing service provider and outsourcing relationships (IT & Non-IT) considering regulatory requirements (e.g., DORA, MaRisk, EBA).

• Provide subject matter expertise to business and functional areas in initiating new outsourcing and service provider relationships in close collaboration with Procurement, Legal, and IT Security - from risk analysis to evaluation and revision-proof documentation.

• Ensure high data quality in the central provider management system and create informative reports and management information.

• Prepare, accompany, and follow up on internal and external audits related to outsourcing and service providers.

• Participate in preparing and conducting board meetings and presenting relevant outsourcing and sourcing topics.

• Actively participate in developing internal guidelines, standards, and processes in outsourcing management, taking into account new regulatory requirements.

Qualifications:

• Completed studies in economics or equivalent qualification.

• Several years of relevant professional experience in the banking sector, ideally in the areas of outsourcing, auditing, risk management, or regulatory compliance.

• In-depth knowledge of relevant regulatory requirements (e.g., MaRisk, DORA, EBA) and interest in information and IT security topics.

• Strong analytical skills, structured and meticulous working style, high level of self-responsibility, and strong teamwork skills.

• Excellent communication and presentation skills in German and English in writing and speaking.

What we offer:

• Innovative environment in a globally operating company

• International cooperation and exciting challenges

• Flexible working models and development opportunities

• A culture of diversity and equal opportunities

Ford is committed to diversity and equal opportunities for all and opposes any form of discrimination or harassment based on gender, marital status, partnership, parental status, ethnic origin, skin color, nationality, national origin, disability, sexual orientation, religion/worldview, gender reassignment, and age, as well as people with childcare responsibilities.

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Global Presales team

The Global Presales organisation at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organisations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

Identity Senior Solution Specialist -Endpoint & Identity Security

As a Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions. You will report to the Manager in the OFCTO organisation.

Responsibilities

Strategic Customer Engagement:

• Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.

• Deliver on emerging trends, industry best practices, and identity-driven digital transformation.

• Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.

• Develop customer-centric points of view that translate Okta’s solutions to customer problems.

• Lead technical discovery sessions with security and infrastructure leaders to uncover challenges related to endpoint security, passwordless adoption, and identity threat vectors.

• Deliver compelling, customised demonstrations and architectural sessions focused on Okta Device Access (including Okta FastPass, Desktop MFA) and our Identity Threat Protection capabilities.

• Design and execute outcome-focused Proof of Concepts (POCs) that prove Okta’s value in preventing account takeovers and securing access from any device.

Asset Delivery:

• Create and maintain reusable and purpose-built demonstration systems to be leveraged by all of presales.

• Create and maintain diagrams and documentation to support patterns and strategies.

• Build templates for proofs of concept and other unique customer engagement demands.

• Create and maintain A.I. based delivery and enablement functionality.

Technical Leadership:

• Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.

• Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.

• Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.

Field Enablement and Collaboration:

• Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.

• Partner with sales leadership to identify and address critical business opportunities and challenges.

• Drive cross-functional collaboration to ensure seamless execution of global initiatives.

• Innovate in tools and techniques to drive excellence and momentum.

• Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.

Market Influence:

• Represent Okta as a thought leader in the identity and security space.

• Influence industry standards and participate in relevant technical advisory boards.

Innovation and Strategy:

• Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.

• Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

Position Requirements:

Identity & Directory Services Mastery

• Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.

• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.

• Hybrid Identity: Experience managing the complexities of identity synchronisation between on-premises environments and the cloud.

Device Identity & Access Management Mastery

• Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.

• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.

• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.

• Identity Threat Detection & Response (ITDR)

• Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.

• Behavioural Analysis: Experience with User and Entity Behaviour Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.

• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.

Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.

And extra credit if you have experience in any of the following!

• Hands-on experience with Okta’s Threat Protection suite (e.g., suspicious activity reporting, risk-based authentication).

• Experience with other ITDR vendors or device access solutions.

• Certified Identity Professional (CIDPRO), CISSP, CCSP, or CISM.

• Scripting or automation skills (e.g., Python, PowerShell) for security integrations.

#LI-Hybrid #P25004_3414284

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As a Staff Engineer focused on identity, you'll balance hands-on engineering with strategic technical leadership. You'll design authentication systems that balance security, usability, and performance, partner with security and compliance teams to meet SOC 2 and GDPR requirements, and establish best practices for authentication across Gamma's engineering organization.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Own Gamma's end-to-end authentication and authorization systems, ensuring security, reliability, and excellent user experience
• Lead the technical strategy and execution for migrating 100M+ users from AWS Cognito to a modern identity platform
• Design and implement OAuth 2.0 and OpenID Connect flows that enable Gamma to act as an identity provider for third-party integrations
• Build and maintain SSO integrations (SAML, OIDC) for enterprise customers
• Partner with security and compliance teams to ensure identity systems meet SOC 2, GDPR, and regulatory requirements
• Collaborate with product and engineering teams to implement authentication features like MFA, passkeys, and session management

Requirements

• 8+ years of software engineering experience with at least 3 years focused on identity, authentication, or security systems
• Deep expertise with OAuth 2.0, OpenID Connect, SAML, and modern authentication protocols, including hands-on experience acting as an OAuth provider and implementing authorization servers
• Proven track record executing large-scale identity migrations (millions of users) with zero downtime
• Strong understanding of identity providers (Cognito, Auth0, WorkOS, Okta) and their tradeoffs, with expert knowledge of authentication security best practices including password hashing, token management, credential storage, and session security
• Ability to partner across engineering, security, and product to establish authentication standards and best practices organization-wide
• Experience with WebAuthn, FIDO2, and passwordless authentication, building developer-facing authentication SDKs or APIs, or working at a high-growth SaaS company with enterprise customers

Compensation range:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits & equity.

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As a Strategic Finance Lead, you will be a key partner to Corporate FP&A, Accounting, and Finance Systems, ensuring our compute financials integrate cleanly into the company plan, our models reconcile across pillars, and our leadership and board materials reflect a single, defensible source of truth.

Key responsibilities include:

Consolidation & Reporting

• Own consolidation and workback of the financial review cadences across all compute finance pillars into a single narrative for finance and compute leadership

• Manage the compute finance contribution to board materials and executive reviews

• Own and maintain team dashboards, recurring content, and reporting infrastructure , keeping them live, accurate, and reconciled

• Drive integration of financial models across the compute finance team into a coherent, full three-statement view

Operating Rhythm & Systems

• Own the calendar and cadence between Compute Finance and Corporate FP&A , close, forecast, budget, and long-range plan handoffs

• Run team operating rhythm: meeting agendas, sprint cadence, recurring deliverable tracking, and cross-pillar coordination

• Own compute finance's planning-system footprint , datasets, sources of truth, and pipeline into corporate systems

• Drive model hygiene, version control, and central organization of team financial models

Minimum qualifications include:

• Experience in FP&A, strategic finance, finance operations, consulting, or investment banking, preferably in a multi-business-unit or infrastructure-heavy environment

• Built or run a consolidation, allocation, or planning process across multiple finance owners

• Exceptional analytical skills and the ability to reconcile complex models into a single defensible view

• Strong process design and operating-cadence instincts

• Excellent written communication; comfortable producing board- and executive-level materials

• Comfort working cross-functionally and communicating complex financial information to non-finance audiences

• Bias towards action, strong work ethic, and experience driving outcomes under tight timelines

• Passion for Anthropic's mission to build safe, transformative AI systems

Preferred qualifications include:

• 7+ years of experience in FP&A, strategic finance, finance operations, consulting, or investment banking

• Experience with cost allocation / chargeback methodologies in a cloud or infrastructure context

• Background in AI, ML, cloud service provider economics, or large-scale computing infrastructure

• Proficiency with SQL, Python, and Excel

• Prior chief-of-staff, BizOps, or finance-systems experience in a high-growth environment

The annual compensation range for this role is $190,000-$235,000 USD.

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You will provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews. You will drive the entire development lifecycle,from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.

You will raise the bar by mentoring senior engineers across teams in ad formats and establishing best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.

We expect you to have 8+ years of software engineering experience (Staff level seniority), deep expertise in Kotlin and modern Android architectural patterns, completed 4+ Android development projects from ideation to deployment in production, prior experience in Ad Tech, building highly interactive/rich-media mobile experiences, and a proven track record of delivering user-facing features where UI polish and performance are critical.

You will also have the ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems, experience leveraging GenAI tools to increase software engineering productivity, fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc., and an openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).

You must be self-directed, innovative, and biased towards action, live to build new things and thrive in ambiguity, and have excellent communication skills to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.

It would be a bonus if you have experience working on Video Ads, experience working at a scaled peer company, and experience with Jetpack Compose.

We offer comprehensive healthcare benefits and income replacement programs, 401k with employer match, global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, family planning support, gender-affirming care, mental health & coaching benefits, flexible vacation & paid volunteer time off, and generous paid parental leave.

Base salary range for this position is $217,000-$303,900 USD.

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You will operate with a high degree of autonomy in designing, implementing, and evolving detection logic and telemetry pipelines, transforming raw telemetry into actionable behavioural intelligence.

DLP Policy Engineering: Design, develop, and deploy advanced detection logic and use cases within the Insider Risk platforms to identify unauthorized data movement, anomalous system activity, and policy violations. Independently identify gaps in detection coverage and propose, implement, and tune new DLP use cases to address emerging insider risk scenarios.

Cloud & SaaS Telemetry Analysis: Work with Security Engineering department to ingest and normalize high-fidelity telemetry from cloud environments, SaaS services, and endpoint agents into the Insider Risk security stack/tooling.

Behavioural Detection Development: Design and implement technical 'tripwires' and behavioural models that identify patterns associated with data exfiltration, such as unusual download volumes, unauthorized file sharing, or anomalous access to sensitive repositories.

Data Pipeline Oversight: Define telemetry requirements and partner with Security Engineering to build and maintain high-fidelity data pipelines from DLP agents and cloud providers into our monitoring platforms.

Technical Incident Support: Serve as the technical subject matter expert during complex investigations, providing deep-dive forensic analysis, log reconstruction and evidence gathering and preservation. Drive improvements to investigative tooling, detection feedback loops, and post-incident telemetry requirements.

Infrastructure Maintenance: Manage the health, configuration, and continuous optimization of the Insider Risk technology stack.

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Responsibilities:

• Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.
• Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews.
• Full-Cycle Leadership: Drive the entire development lifecycle,from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.
• Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.

Requirements:

• 8+ years of software engineering experience (Staff level seniority).
• Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns. Completed 4+ Android development projects from ideation to deployment in production.
• Prior experience in Ad Tech, building highly interactive/rich-media mobile experiences.
• Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical.
• System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems.
• AI: Experience leveraging GenAI tools to increase software engineering productivity.
• Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.
• Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).
• Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.
• Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.
• An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.
• BS degree in Computer Science, similar technical field of study, or equivalent practical experience.

Bonus Points:

• Experience working on Video Ads
• Experience working at a scaled peer company
• Experience with Jetpack Compose

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Key responsibilities include:

• Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.

• Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews.

• Full-Cycle Leadership: Drive the entire development lifecycle,from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.

• Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.

Requirements include:

• 8+ years of software engineering experience (Staff level seniority).

• Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns. Completed 4+ Android development projects from ideation to deployment in production.

• Prior experience in Ad Tech, building highly interactive/rich-media mobile experiences.

• Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical.

• System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems.

• AI: Experience leveraging GenAI tools to increase software engineering productivity.

• Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.

• Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).

• Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.

• Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.

• An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude.

• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.

• BS degree in Computer Science, similar technical field of study, or equivalent practical experience.

Bonus points include experience working on Video Ads, experience working at a scaled peer company, and experience with Jetpack Compose.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

As a Senior Identity Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions.

Key Responsibilities:

• Strategic Customer Engagement: Support strategic customer conversations aligning with technical and engineering leaders and stakeholders. Deliver on emerging trends, industry best practices, and identity-driven digital transformation. Assist in preparing executive-level messaging and participate in strategic discussions to align Okta's solutions with customer business outcomes.

• Technical Leadership: Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms. Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.

• Field Enablement and Collaboration: Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively. Partner with sales leadership to identify and address critical business opportunities and challenges. Drive cross-functional collaboration to ensure seamless execution of global initiatives.

• Market Influence: Represent Okta as a thought leader in the identity and security space. Influence industry standards and participate in relevant technical advisory boards.

• Innovation and Strategy: Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams. Support, derive, and champion strategic initiatives that enhance Okta's differentiation and business impact.

Position Requirements:

• Identity & Directory Services Mastery: Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.

• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.

• Hybrid Identity: Experience managing the complexities of identity synchronization between on-premises environments and the cloud.

• Device Identity & Access Management Mastery: Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.

• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.

• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.

• Identity Threat Detection & Response (ITDR): Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.

• Behavioral Analysis: Experience with User and Entity Behavior Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.

• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.

Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.

This is a remote position.

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In this role, you will own performance outcomes for major browser subsystems and help ensure Edge feels fast, responsive, and reliable for millions of users every day. You will lead the design and evolution of systems that make performance durable as the product grows. This includes setting architectural direction, modernizing legacy implementations, and establishing clear performance patterns so new features ship with performance built in,not added later.

You will work hands-on in the codebase, using real user signals, traces, and data to understand where time is spent and to drive deep improvements in navigation, input responsiveness, startup, and ongoing interaction quality. Your impact will scale through systems and influence. You will advance performance tooling, automation, and AI-assisted diagnostics to help teams detect, understand, and prevent performance issues before they reach customers.

Partnering closely with feature teams, you will help make performance a first-class design constraint across Edge. Success in this role is measured by sustained improvements in real user experiences,faster interactions, smoother input, fewer recurring regressions, and a higher performance bar across the organization.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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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.

We protect and accelerate 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.

Available Locations:

Lisbon | London | Hybrid

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

The Workers KV team delivers Cloudflare's global, low-latency, key-value data storage. KV lets developers store and retrieve data globally. With Workers KV, you can build dynamic and performant APIs and websites that support high read volumes with low latency. KV is integrated with Cloudflare Workers but can also be used via our REST API.

Here are a few example use-cases:

• Caching API responses
• Storing user configurations and preferences
• Storing user authentication details

The team is geographically distributed across Western Europe.

What you'll do

We are looking for an experienced Senior Engineering Manager to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day.

You will play an active part in shaping product features and improving performance to make Workers KV the best it can be. You will make sure our company hits our ambitious goals from an engineering standpoint. You will change the way people build applications.

You bring a passion for meeting business needs by building technical, innovative solutions. You excel to understand how big-picture goals inform technical details. You thrive in a fast-paced iterative engineering environment and have experience in delivering scalable distributed systems.

Most importantly, you have a track record of having past teams respect you as both a technical leader and manager.

Examples of desirable skills, knowledge and experience

• Strong communications skills - especially building a shared understanding of systems among a team's members.
• Comfortable leading and hiring a team that builds distributed systems.
• Navigate uncertainty and ambiguity - many of the things we build have never been built before anywhere and you are expected to find a way to deliver.
• Excel at planning, creating teams, and overseeing execution to meet commitments and deliver with predictability
• Comfortable building developer-loved APIs that scale
• Demonstrate a track record of leading a team including hiring, on-boarding, and professional development. You inspire your team to reach higher. You’re as good as explaining “why” as you are “how”.
• Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages
• At least 4 years of recent professional experience with TypeScript or Go.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly

Bonus Points

• Experience building high performance distributed systems
• Experience delivering and operating critical infrastructure for cloud platforms, especially serverless platforms
• Deep Linux/UNIX systems, kernel, or networking knowledge
• Contributions to large open source projects
• Experience working with distributed storage and cache architectures
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system

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!

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, providing documents in an alternate format, or a sign language interpreter.

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Who we are

Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

About the team

Payments is Stripe’s flagship product. Our payments platform processes trillions of dollars annually. This team has the opportunity to expand the reach of Stripe’s global payments network, design and implement novel payment capabilities, and deliver best-in-class reliability and performance.

What you’ll do

Responsibilities

• Design, build, and maintain APIs, services, and systems across Stripe’s engineering teams

• Work with a wide range of systems, processes and technologies to own and solve problems end-to-end

• Collaborate with other engineering teams across Stripe’s global offices

• Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter

• Improve engineering standards, tooling, and processes

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 3-12+ years of professional software development experience

• Either a Bachelor’s degree in a technical field involving coding (e.g., Computer Science, Engineering, Physics, Mathematics) or equivalent technical experience

• Worked on projects which have involved multiple engineering teams

• Empathy, strong communication skills and a deep respect for the power of collaboration

• A learning mindset, regardless of level or experience

• The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership

• High standards for code quality and a constructive attitude to help others raise the bar

• An ability to think creatively and holistically about reducing risk in a complex environment

Preferred qualifications

• Have experience with financial product companies and interest in financial products and markets.

• User facing or cross functional roles where you shaped the product’s roadmap and solutions to solve user needs.

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We're looking for a skilled Backend Engineer to join our AI Security team. As a Backend Engineer, you will play a key role in building and maintaining our AI infrastructure, ensuring it is secure and reliable.

Responsibilities:

• Build security frameworks integrated with our core AI infrastructure
• Design and implement defenses against AI-specific threats like prompt injection and jailbreaks
• Collaborate with other engineering teams to ensure Stripe's AI infrastructure and products are built securely
• Support other engineering teams in integrating security primitives
• Uphold our high engineering standards and improve our codebase and processes

Requirements:

• 5+ years of software development experience
• Experience independently designing and developing medium to large projects
• Experience working collaboratively across multiple engineering teams
• Experience writing high-quality code in a major programming language
• Ability to drive clear next steps when working in an ambiguous environment
• Ability to think creatively and reason clearly in a complex problem domain

Preferred Qualifications:

• Experience developing, deploying, and maintaining reliable infrastructure systems
• Experience in security engineering
• Experience building AI agents or LLM-based systems

In-office Expectations:

• Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users.

Pay and Benefits:

• The annual US base salary range for this role is $156,800 - $285,600.
• Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

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The primary responsibilities of this role are to:

Solve real agricultural problems using deep learning and AI across image and other data modalities, translating complex models into tangible business and scientific impact.

Design and implement end-to-end machine learning pipelines for computer vision use cases, including segmentation, classification, detection, and multi-task learning.

Prototype, evaluate, and iterate on cutting-edge architectures such as CNNs, Vision Transformers, foundational and large-scale vision models, ensuring state-of-the-art performance.

Optimize models for accuracy, robustness, and inference efficiency, including experimentation with hyperparameters, compression, and deployment-oriented optimisations.

Independently build scalable data pipelines for training, validation, and evaluation, including data ingestion, augmentation strategies, and active learning loops.

Collaborate cross-functionally with product, data, and software engineering teams to integrate models into production systems and deliver reliable, maintainable solutions.

Contribute to MLOps practices, including model versioning, deployment, monitoring, and retraining workflows using modern tooling and cloud-based platforms.

Build strong cross-functional relationships and actively engage with the broader Data Science Community to share best practices, align on standards, and co-create innovative solutions.

Present clear, compelling, and validated stories about experiments, results, and recommendations to peers, senior management, and internal customers to drive strategic and operational decisions.

We seek an incumbent who possesses the following:

M.S. with 2+ years of experience or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning or computer vision.

Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.

Hands-on experience with modern computer vision architectures including models such as ResNet, UNet, DeepLab, YOLO, SegFormer, SAM, and Vision Transformers.

Strong background in handling large-scale datasets and creating custom datasets, for example using frameworks such as Hugging Face Datasets.

Solid understanding of core machine learning concepts including loss functions, regularization, optimisation, and learning rate scheduling.

Experience developing and deploying models using cloud-based ML platforms such as AWS SageMaker.

Familiarity with Unix environments, including bash, file systems, and core utilities.

Strong engineering practices including use of Git, Docker, CI/CD pipelines, modular codebase design, and unit testing.

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As our Head, US Global Payments Solutions Commercial Cards Operations, you will:

Optimise end-to-end Commercial Card operations, including onboarding, account builds, lifecycle management, billing, disputes, settlement, fraud, and program servicing. Provide executive oversight of the TSYS and FISERV platforms. Provide oversight of the Mastercard and Visa networks, as related to operational and monitoring activities supported in the team. Work directly with Commercial Card related Vendors and 3rd parties as necessary to support activities, research, issue resolution: FIS (TSYS), Idemia, Mastercard, Visa. Ensure operational readiness for product enhancements and platform changes, including UAT (User Acceptance Testing) coordination and validation. Establish strong risk and control frameworks aligned with regulatory and network requirements. Drive service excellence and support complex commercial client programs. Lead operational transformation initiatives, automation efforts, and platform enhancements. Manage senior stakeholders across Product, Technology, Client Management, and other internal departments. Lead and develop onshore and offshore operational teams; drive performance through Key Performance Indicators, Objectives and Key Results, and Service Level Agreements.

You'll likely have the following qualifications to succeed in this role:

Extensive experience in Commercial Cards within a regulated financial institution. Deep experience with TSYS or comparable card processing platforms. Deep knowledge of corporate card products such as purchasing cards, small business revolving, virtual cards, CTA (Central Travel Account) accounts, corporate world elite, one cards, etc. Strong understanding of card network rules, disputes/chargebacks, and fraud processes. Strong knowledge of billing structures, rebate programs, reconciliation within cards portfolio. Proven experience leading teams onshore and offshore, managing operational risk. Demonstrated ability to drive transformation and scale operations.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC's engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You'll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC.

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This role requires 5+ years of experience in chief-of-staff, program management, operations, or similar roles in a research, technical, or fast-moving environment.

Key responsibilities include:

• Scope, plan, and drive model evaluation projects end-to-end
• Manage external research collaborators
• Synthesize complex information into decision-relevant inputs for leadership
• Identify new projects the company should take on
• Run the Alignment team offsite and similar events

Strong candidates may also have experience working directly with researchers, especially in AI safety or machine learning, and familiarity with the AI safety research landscape, key organizations, and ongoing debates.

Annual compensation range: $210,000-$290,000 USD.

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Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.

To succeed in this role, you'll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.

In addition to your technical expertise, you'll need strong written and verbal communication skills to operate in a cross-functional team.

This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

As Mixpanel scales into the enterprise, the platform that underpins how customers manage, secure, and control their Mixpanel environment becomes increasingly strategic. This isn’t a role about a single feature or workflow , it’s about the foundational systems that determine whether a 500-person company trusts us with their data and their organisational complexity.

Responsibilities

Own the Enterprise Platform Roadmap

Define and drive the roadmap for Mixpanel’s enterprise management surface , RBAC, SSO/passkeys, auth services, audit logs, admin controls, bulk user management, and settings UX

Develop a principled view of what the platform must guarantee (security, compliance, reliability) vs. what can be iterative , and sequence investments accordingly

Anticipate requirements from enterprise customers, internal security reviews, and compliance obligations; design ahead of the ask rather than reacting to it

Build business cases for platform investments, making the indirect ROI of security and compliance work legible to leadership

Establish operating cadence and governance across the two engineering tracks: align dependencies, create clear owners, and ensure predictable delivery

Lead with Curiosity and Disciplined Discovery

Approach every platform problem with structured curiosity: frame clear hypotheses, test assumptions with lightweight experiments, and evaluate second-order effects before committing

Stay directly connected to enterprise customers and security-facing stakeholders (Sales, CS, Legal) to understand how platform limitations show up in real deals and renewals

Synthesise signal from security reviews, compliance inquiries, support tickets, and customer interviews into clear, prioritised product proposals

Drive Cross-Team Platform Integrity

Own the consistency and reliability of shared authentication, permissions, and admin patterns across Mixpanel’s product portfolio , ensure every product team builds on a stable, well-governed foundation

Partner with engineering leads to define clear APIs, auth contracts, and permission interfaces that prevent hidden dependencies and enable safe evolution

Define and maintain measurement standards for platform health: uptime, auth failure rates, admin task completion, enterprise onboarding velocity

Work closely with application security to ensure platform features meet enterprise security standards and pass external audits

We’re Looking For

Experience

5+ years of PM experience owning meaningful problems end-to-end; direct experience with identity, access management, enterprise administration, or security-adjacent product work strongly preferred

Track record of driving alignment and delivering outcomes across engineering, security, and GTM functions without formal authority

Experience building business cases for security, compliance, or infrastructure investments where ROI is indirect or realised over long time horizons

Familiarity with enterprise sales and the role platform features (SSO, RBAC, audit logs) play in closing and renewing enterprise accounts

Skills

Systems thinker: you understand how platform-layer decisions ripple across products, user journeys, and engineering teams, and you reason about second-order effects before committing to a direction

Technical fluency: credible with engineers on identity, auth, and security infrastructure tradeoffs; can partner on architecture-level product decisions without needing to be an engineer

Curious by default: you ask better questions before proposing solutions, challenge assumptions respectfully, and design lightweight experiments to validate direction

Customer-obsessed even on infrastructure: you stay connected to how platform quality shows up for end users and enterprise admins, not just internal teams

Clear, direct communicator: you can write a crisp one-pager, align senior stakeholders on a difficult tradeoff, and make security/compliance topics accessible to non-technical audiences

AI-native: you use AI tools actively in your day-to-day product work , research, synthesis, discovery , and can point to specific ways they’ve changed how you operate

Bonus Points

Deep familiarity with SSO protocols (SAML, OIDC), passkeys/WebAuthn, or RBAC design patterns

Experience navigating SOC 2, GDPR, or enterprise security review processes as a PM

Hands-on Mixpanel user who understands the product from the inside

Experience at a company navigating single-product to multiproduct platform complexity

Experience writing production-grade software or working directly with auth/identity APIs

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range $218,500-$250,000 USD

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy

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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.

As a Forward Deployed Engineer, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform.

Responsibilities

Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.

Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.

Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.

Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.

Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.

Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.

Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.

Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).

On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.

Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain “five nines” uptime.

Active Practitioner: You are currently in the IDE. You have a “ship-first” mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.

Full-Stack Architectural Depth: Broad technical fluency across the entire stack,from frontend performance and backend logic to database optimization and distributed infrastructure.

AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.

Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the “big picture” without losing sight of the implementation details.

Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.

High Agency & Navigating Ambiguity: You are a self-starter who thrives in “zero-to-one” environments. You don’t wait for a ticket; you identify the problem and own the solution from end-to-end.

Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.

Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.

A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

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!

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $185,000 - $254,000 Required Skills:

• Proven Engineering Pedigree
• Production Ownership & Operational Maturity
• Active Practitioner
• Full-Stack Architectural Depth
• AI-Native Development
• Systems Design & Strategic Thinking
• Cloud Ecosystem Fluency
• High Agency & Navigating Ambiguity
• Executive Presence

Preferred Skills:

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platformових

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This role focuses on pushing the frontier of reward modeling for large language models. You'll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking. You'll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.

We're looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You'll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources. Your work will directly advance the science of how we train AI systems to be both highly capable and safe.

Responsibilities:

• Lead research on novel reward model architectures and training approaches for RLHF
• Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability
• Research techniques to detect, characterize, and mitigate reward hacking and specification gaming
• Design experiments to understand reward model generalization, robustness, and failure modes
• Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines
• Contribute to research publications, blog posts, and internal documentation
• Mentor other researchers and help build institutional knowledge around reward modeling

You may be a good fit if you

• Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning
• Have experience training and evaluating reward models for large language models
• Are comfortable designing and running large-scale experiments with significant computational resources
• Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor
• Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences
• Care deeply about building AI systems that are both highly capable and safe

Strong candidates may also

• Have published research on reward modeling, preference learning, or RLHF
• Have experience with LLM-as-judge approaches, including calibration and reliability challenges
• Have worked on reward hacking, specification gaming, or related robustness problems
• Have experience with constitutional AI, debate, or other scalable oversight approaches
• Have contributed to production ML systems at scale
• Have familiarity with interpretability techniques as applied to understanding reward model behavior

The annual compensation range for this role is $350,000-$500,000 USD.

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For example, you might:

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;
• Practical experience conducting technical research collaboratively;
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;
• A track record of published research in machine learning, particularly in generative AI;
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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This role sits at the intersection of research and large-scale systems engineering: a builder who understands both the algorithms behind RL and the realities of distributed training and inference at scale. You'll wear many hats, from optimising rollout and reward pipelines to enhancing reliability, observability, and orchestration, collaborating closely with researchers and infra teams to make reinforcement learning stable, fast, and production-ready.

Responsibilities:

• Design, build, and optimise the infrastructure that powers large-scale reinforcement learning and post-training workloads.

• Improve the reliability and scalability of RL training pipeline, distributed RL workloads, and training throughput.

• Develop shared monitoring and observability tools to ensure high uptime, debuggability, and reproducibility for RL systems.

• Collaborate with researchers to translate algorithmic ideas into production-grade training pipelines.

• Build evaluation and benchmarking infrastructure that measures model progress on helpfulness, safety, and factuality.

• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

We're looking for someone with strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases. You should have a good understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.

Experience training or supporting large-scale language models with tens of billions of parameters or more is a plus. Familiarity with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry) is also a plus.

Logistics:

• Location: This role is based in San Francisco, California.

• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.

• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets,our people, our data, and our infrastructure.

Responsibilities:

• Triage custom technical detection alerts
• Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams
• Monitor and triage external threats targeting employees
• Conduct sensitive interviews of employees or other involved parties
• Perform technical analysis of logs from SIEM, DLP, UEBA systems
• Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis
• Build and maintain investigation documentation
• Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks
• Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies
• Provide rapid-turnaround security assessments to support business operations
• Support education and awareness programs to promote a robust security culture
• Serve as the subject matter expert for insider risk and provide training to team members as needed

You may be a good fit if you have:

• Bachelor's degree and/or higher education in a related field
• 5-8 years of experience in insider risk, corporate investigations or a related domain
• 3-5 years experience in conducting investigative interviews
• Experience conducting OSINT for threat assessment, or counterintelligence
• Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
• Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships
• Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)
• Track record of rapid response to time-sensitive security requests
• Comfort operating across organizational boundaries (Security, People, Legal, IT)
• Exceptional communication, collaboration skills and the ability to lead projects with little guidance
• Demonstrated ability to operate independently with minimal oversight while managing sensitive cases

Strong candidates may also have:

• Experience working in the technology industry or at/with AI/ML companies
• Experience with counterintelligence investigations and nation-state threat actor TTPs
• Background in open-source intelligence collection and analysis
• Track record of AI/LLM adoption for productivity gains in investigative work
• Experience contributing to a high growth startup environment
• Specialized knowledge of risks unique to the AI sector
• Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
• Experience working in government, defense, or high-security environments

What makes you successful here:

• Entrepreneurial mindset: You see gaps and fill them without being asked
• Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews
• AI-native approach: You leverage LLMs to work smarter, not just harder
• Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission
• Judgment under uncertainty: You make sound decisions with incomplete information
• Clear communicator: You distill complex findings into actionable insights for diverse audiences
• Cross-functional navigator: You build relationships and collaborate effectively across teams

Annual compensation range for this role is $245,000-$305,000 USD.

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This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.

Responsibilities:

• Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.
• Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.
• Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.
• Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.
• Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.
• Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications:

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.

Preferred qualifications , we encourage you to apply if you meet some but not all of these:

• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.
• Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.
• Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.
• Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.
• Experience training and supporting large-scale AI models.
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics:

• Location: This role is based in San Francisco, California.
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Staff Security Engineer, IAM to lead the architectural vision and security engineering execution for Coinbase’s Identity and Access Management (IAM) and workforce security platforms.

As a senior technical leader within the IAM program, you will partner with Engineering, IT, Platform, and business teams to architect and deliver identity solutions that balance zero-trust security with workforce enablement, reduce insider risk, and satisfy global regulatory requirements.

Key Responsibilities:

• Lead the architectural vision and security engineering execution for Coinbase’s IAM and workforce security platforms
• Evaluate, design, and implement “build, buy, or hybrid” strategies for workforce Identity Governance and Administration (IGA)
• Write high-quality code to build scalable automation, custom integrations, and self-service guardrails
• Conduct comprehensive threat modeling and security architecture reviews for foundational identity systems and critical SaaS integrations
• Partner with Engineering, IT, HR, AI/ML, and Product teams to align security initiatives with business goals

Requirements:

• 7+ years of proven experience in software engineering, security engineering, or systems architecture
• Proficient in at least one programming language (e.g., Python, Go)
• Demonstrated track record of successfully implementing complex hybrid IAM infrastructures
• Deep operational and architectural understanding of Identity Governance and Administration (IGA) processes
• Extensive expertise in modern identity protocols (SAML, OAuth2, OIDC, SCIM), cloud IAM (AWS and GCP), and dynamic access control frameworks (RBAC, ABAC, ReBAC)
• Strong background in applied risk management, automated threat modeling, and zero-trust architecture principles

Nice to Have:

• Experience operating in a hyper-growth tech, FinTech, or crypto environment
• Experience governing non-FTE workforce populations at scale
• Hands-on experience with Policy-as-Code paradigms and integrating machine learning to automate policy generation

Pay Transparency Notice: The target annual base salary for this position can range from $218,025 to $256,500 USD.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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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.

We protect and accelerate 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.

We were named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

Available Locations:

Remote in US and Europe

Principal VM Engineer – Workers Runtime Team

About the Department

The Emerging Technologies & Incubation (ETI) team at Cloudflare builds and launches bold, new products that push the boundaries of what's possible on the internet. By leveraging Cloudflare's massive network and edge computing capabilities, we solve complex problems at a scale few others can achieve.

About the Team

The Workers Runtime team is responsible for the execution environment that runs customer code at the edge. We focus on performance, security, and scalability, enhancing JavaScript APIs, WebAssembly support, and system optimizations to prepare for the next 10x scale increase. Our runtime operates in a resource-constrained, highly secure environment, requiring careful management of memory, CPU, and I/O.

What You'll Do

We are looking for a VM Engineer to help improve and embed the V8 virtual machine in our runtime. You'll work on low-level optimizations, performance enhancements, garbage collection, and language support to ensure our platform remains cutting-edge. This role is ideal for engineers who love tackling high-performance, low-latency challenges in distributed environments.

Key Responsibilities

• Optimize and embed the V8 VM within Cloudflare's Workers Runtime.
• Improve JavaScript execution performance and WebAssembly integration.
• Debug, optimize, and enhance low-latency, real-time environments.
• Ensure the reliability and efficiency of large-scale, Linux-based distributed systems.
• Collaborate with engineers across runtime, security, and networking teams to push the boundaries of edge computing.

What We're Looking For

• 6+ years of professional experience with C++.
• 4+ years of hands-on VM/compiler experience, ideally with V8.
• Strong knowledge of computer science fundamentals, including data structures, algorithms, and system architecture.
• Experience with low-latency environments (e.g., game streaming, trading systems, high-performance computing).
• Operational mindset – you build scalable, production-ready solutions.
• Deep understanding of web technologies (HTTP, JavaScript, WASM).

Bonus Points

• Experience working with Rust in high-performance distributed systems.
• Familiarity with serverless platforms and cloud computing.
• Deep knowledge of JS engine internals (V8, SpiderMonkey, JavaScriptCore).
• Experience with standalone WebAssembly runtimes (Wasmtime, Wasmer, Lucet).
• Strong expertise in Linux/UNIX systems, kernels, and networking.
• Contributions to large open-source projects.

This is an exciting opportunity to work on cutting-edge compiler and runtime technologies at an unmatched scale. If you're passionate about high-performance computing, distributed systems, and compilers, we’d love to hear from you!

## ##

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!

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.

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Key responsibilities include:

• Driving technical roadmap and strategy for the Build Systems team
• Partnering with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions
• Leading complex, multi-quarter initiatives reducing build/test times and improving CI reliability
• Designing, building, and maintaining modern developer tools including scalable build systems, distributed CI platforms, and test frameworks
• Architecting and implementing large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency
• Mentoring and upleveling the team through technical guidance, code reviews, and architectural leadership

We're looking for someone with 8+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams. You should have deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos. Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems is also required.

Preferred skills include experience migrating large codebases to modern build systems (especially Bazel), building test frameworks and improving test infrastructure, and having excellent problem-solving skills.

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You'll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.

As a senior technical leader, you will:

Own and evolve the architecture of Intercom's web stack. Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility. Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more. Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem. Mentor and elevate engineers across the team and organisation , providing guidance on architecture, data modeling, system design, and engineering best practices. Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness. Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders , communicating risks, trade-offs, and opportunities clearly. Contribute hands-on to the codebase , leading by example and helping unblock and accelerate key projects.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Access Management Engineering Team

The Okta Access Management Team builds the foundation for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. Learn more about Okta’s Engineering on our blog.

About You

We seek a passionate Java Senior Software Engineer to join our dynamic team. The ideal candidate should possess:

• Solid experience in Java web development.

• Enthusiasm for developing high-quality, secure, and performant applications.

• A keen interest in learning about cutting-edge security and identity management challenges.

• A collaborative mindset and excellent communication skills to work effectively with cross-functional teams.

This role offers an exciting opportunity to join a team building innovative identity and security products from the ground up. You will have the chance to work on challenging problems, contribute to the product roadmap, and continuously expand your skills in a rapidly evolving industry.

Job Duties and Responsibilities:

• Collaborate with cross-functional teams (QA, Product, Support, UX) for seamless integration.

• Following best practices, contribute to technical designs, proposals, and architectural decisions.

• Develop high-quality, maintainable software components with comprehensive unit/functional tests.

• Participate in code reviews, providing feedback and ensuring adherence to coding standards and security best practices.

• Contribute to technical documentation and knowledge sharing within the team.

Minimum Requirements:

• 7+ years of experience building Java-based web applications

• Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.

• Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.

• Strong communication skills and the ability to work across functions

Nice to have:

• Experience building anomaly detection systems or risk systems is a huge plus.

• Experience in cloud security, identity, and/or authentication protocols.

• Experience with one or more UI technologies such as Angular, ReactJS, Backbone, and Vue.

• Strong understanding of IAM protocols (FIDO, WebAuthn, SSO, SAML, OAuth) and identity management best practices.

Education and Training:

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience or degree.

• 7 years of software development experience.

#LI-Hybrid

P24157_3354134

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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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.

We protect and accelerate 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.

Available Locations:

Austin, TX | Lisbon, Portugal | London, UK

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

The Workers Runtime team delivers features and improvements to our Runtime which actually executes customer code at the edge. We care deeply about increasing performance, improving JS API surface area and compiled language support through WebAssembly, and optimizing to meet the next 10x increase in scale.

The Runtime is a hostile environment - System resources such as memory, cpu, I/O, etc need to be managed extremely carefully and security must be foundational in everything we do.

What you'll do

We are looking for a Systems Engineer to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day.

You will play an active part in shaping product features based on what’s technically possible. You will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience

• At least 2 years of recent professional experience with C++ or Rust.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• An operational mindset - we don't just write code, we also own it in production.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly.
• Experience working in low-latency real time environments such as game streaming, game engine architecture, high frequency trading, payment systems.
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system.

Bonus Points

• Experience building high performance distributed systems in Rust.
• Experience working with cloud platforms, especially server-less platforms.
• Experience with the internals of JS engines such as V8, SpiderMonkey, or JavaScriptCore.
• Experience with standalone WebAssembly runtimes such as Wasmtime, Wasmer, Lucet, etc.
• Deep Linux/UNIX systems, kernel, or networking knowledge.
• Contributions to large open source projects

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!

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.

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Our Creation Engine teams work on some of the core technologies that power our real-time, browser-based Figma Design and FigJam products. These teams work mostly (but not exclusively) on client-side code that runs in the browser.

Under the hood, Figma shares a lot of similarities with a game engine. We develop this C++/WebAssembly engine to ensure that internal and external developers can rapidly build new products and features that are fast and reliable by default.

This team supports a broad scope of testing and logging frameworks used widely across Figma. This includes innovative performance testing tools with careful attention to signal-to-noise ratio as well as deep investment in observability systems.

As a Manager, Software Engineering - Creation Engine, you will:

Manage and support a team of experienced engineers to deliver best-in-class testing and observability frameworks for Figma client developers Partner with product, data science, and engineering leadership to set strategy, priorities and mission for teams and projects Roll up your sleeves as needed to get involved in the technical details and operational strategy Engage on broader company programs to up-level the team’s work on performance & quality Build and support a culture of doing great work together for our engineering team by investing in team culture, mentorship, and meaningful work Grow your career in a collaborative and creative engineering community

We’d love to hear from you if you have:

4+ years of engineering management experience leading high-output, high-performing teams, with 4+ years as a hands-on engineer Proven leadership in building, mentoring, and motivating senior engineers while maintaining a high technical bar and recruiting top talent Deeply passionate about the testing, observability, and tooling space, with proven hands-on or leadership experience driving impact in these areas Demonstrated success delivering scalable, high-quality work and driving cross-functional initiatives in fast-paced, ambiguous environments Empathetic leader with strong organizational and execution skills, enabling platform teams that support and accelerate many others

While it’s not required, it’s an added plus if you also have:

Deep technical knowledge in the relevant domains, with existing understanding of best practices for testing and observability Experience managing other managers and growing teams Experience advocating for and successfully adopting a performance-mindset culture across an entire company

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range: $258,000-$376,000 USD

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The Operations Analyst, Software Spend will operate at the intersection of Corporate Technology, Finance, Procurement, and senior business stakeholders to drive software optimization initiatives, support cost allocation processes, improve vendor governance, and bring structure to complex, fast-moving operational problems.

Key responsibilities include:

• Driving cross-functional initiatives that improve the efficiency, governance, and business value of Corporate Technology's software spend
• Owning the operating processes for software cost allocation, chargebacks, and spend visibility across business lines and divisions
• Supporting and leading commercial workstreams with key software vendors, including renewals, negotiations, performance tracking, and issue resolution
• Learning and owning the systems, data quality, and reporting workflows that underpin software spend management and optimization
• Helping manage the intake, evaluation, and escalation of new software requests, renewals, and portfolio-related decisions

In addition to these responsibilities, the Operations Analyst, Software Spend will also be expected to:

• Evaluate evolving business needs through utilization analysis, stakeholder partnership, and structured problem-solving to inform software portfolio decisions
• Perform deep-dive analyses on major vendors, spending patterns, and usage trends to support optimization decisions and develop business cases for action
• Define, track, and report on key operating metrics, such as spend per headcount, utilization, cost avoidance, and savings pipeline
• Lead regular portfolio reviews to identify rationalization opportunities, spending risks, and process improvement opportunities

The ideal candidate will have 3+ years of experience in business operations, strategy and operations, finance, procurement, vendor management, or related analytical/operational roles. They will also have strong analytical and financial modeling skills, including experience with cost modeling, variance analysis, and allocation or chargeback methodologies.

Experience in hyper-growth or other fast-paced operating environments is preferred, as well as familiarity with enterprise software vendors, licensing constructs, and software spend optimization approaches.

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We protect and accelerate 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.

What You’ll Do The Argo team was formed to own a very important aspect of Cloudflare's systems: enable more reliable network connectivity for Cloudflare’s products than the Internet itself provides. Almost all products in Cloudflare’s portfolio are or will be powered by Argo technology, including CDN, Spectrum, Magic Transit, Stream, Workers, Workers AI, R2, WARP, and more.

As a member of the Argo team, you’ll be a key technical contributor to the cutting edge network software infrastructure used by those products. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network.

You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.

Must-Have Skills

• Systems-level programming experience in Go, Rust, C, or C++
• A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model
• Knowledge of HTTP, TLS, and CDN networks
• Experience in implementing secure and highly-available distributed systems
• Experience with monitoring, alerting, and debugging large-scale distributed systems
• Experience participating in an on-call rotation
• Strong collaboration and communication skills
• Experience/interest in network performance monitoring and tuning
• Willingness to adopt and integrate AI tools and systems into your engineering workflow

Bonus Points

• Knowledge of TCP/IP and Internet routing
• Professional systems-level programming experience in Rust
• Working knowledge of statistical-analysis techniques and control theory
• Experience building tools and APIs
• Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting

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!

Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave

More information on the team: https://blog.cloudflare.com/orpheus-saves-internet-requests-while-maintaining-speed/ https://blog.cloudflare.com/orpheus/

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At Cloudflare, we're on a mission to help build a better Internet. We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.

As a Senior Security AI Engineer, you will be the technical architect for our Agentic AI roadmap. Your mission is to move beyond simple automation scripts and build a fleet of 'AI Team Members',intelligent helper agents that execute complex security algorithms, process flows, and assessment logic.

Responsibilities

• Agent Architecture: Design and deploy multi-agent systems that follow complex security algorithms and assessment flows to automate manual SOC and Assurance tasks.

• Skill Engineering: Standardize agent capabilities by creating and maintaining skills.md files and specialized Markdown documentation that define agentic personas and execution boundaries.

• Workflow Training: Train and fine-tune LLMs to function as 'helper agents' capable of executing autonomous AI workflows as integral members of the Security Engineering team.

• Infrastructure as Agents: Utilize Cloudflare Workers, Vectorize, and AI Gateway to build serverless, low-latency agentic architectures for real-time traffic analysis and remediation.

• Autonomous Assessment: Build and scale the engine for autonomous vendor security reviews and M&A assessments, transforming qualitative data into quantitative risk insights.

Requirements

• Experience: 4+ years in Information Security or Software Engineering, with at least 1+ years focused on AI Engineering, Agentic AI, or Advanced Automation using Opencode

• AI Expertise: Deep understanding of LLM orchestration, prompt engineering, and building agentic loops (e.g., LangChain, AutoGen, or custom frameworks).

• Agent Development: Proven ability to create agents from structured definitions (skills.md) and automate tasks that follow strict process/algorithmic flows.

• Cloudflare Ecosystem: Expert knowledge of Cloudflare Workers, KV, Durable Objects, and R2. Experience with Cloudflare AI tools is a significant plus.

• Languages: Mastery of Windsurf, Opencode or Rust.

• Security Domain: Strong grasp of Cyber Security fundamentals, including SIEM/SOAR logic, UEBA, and risk assessment frameworks.

Preferred Qualifications

• Experience building custom Agentic AI solutions that have replaced enterprise-grade 3rd party security software.

• Background in M&A Security Due Diligence or Vendor Risk Management automation.

• Prior experience building edge-based security products or AI-driven log-push integrations.

• Certifications: CISSP or specialized AI/Machine Learning certifications.

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You will own and shape the architecture of Reddit's Android Mobile App that will scale us to the next 100M+ DAUs. Propose ideas/solutions to make Android at Reddit best-in-class.

Improve Android developer experience by designing tools, workflows, and CI integrations that make it fast and safe to develop, test, and release code.

Define and operationalize guardrails (lint/static analysis, tests, and AI-assisted reviews) that catch common issues early.

Build and evolve Android client health and observability foundations (events, traces, dashboards) so teams can improve user experiences.

Apply AI thoughtfully to engineering workflows (e.g., code review, static analysis, CI checks) for improved developer productivity and/or user experiences.

Mentor and Support Android engineers through design reviews, documentation, and education on platform capabilities, observability, and best practices.

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This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the technical direction in collaboration with other engineers, teams, and stakeholders.

Responsibilities:

• Lead large cross-functional projects end to end, from concept, design, and implementation through to launch and driving adoption all while ensuring the highest quality and performance.

• Have a strong product sense and be able to run customer interviews, translating data and user feedback into features that inform the team’s roadmap.

• Mentor engineers and leaders, share industry knowledge, and contribute to the technical growth of the team.

• Disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.

• Be able to make system level improvements, enhancements and implement complex code modifications.

• Collaborate closely with engineering teams and stakeholders to integrate Business Manager capabilities into broader infrastructure and use cases across Reddit.

Qualifications:

• 7+ years software engineering experience building production services at scale.

• Ads domain experience.

• Excellent communication skills to collaborate with a service-oriented team and company.

• Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment between diverse stakeholders.

• Experience in solving complex system scaling and latency performance problems.

• Strong proficiency in one or more: Go, Python; plus experience with service frameworks (gRPC/Thrift) and API design.

• Experience with distributed systems, data modeling, and event-driven architectures (e.g., Kafka/PubSub).

Preferred:

• Previous experience as a Tech Lead or similar function.

• Experience building solutions for advertising agencies or other global enterprise customers.

Our Stack:

• Go, Python; gRPC/Thrift; Kafka; Postgres, BigQuery, Redis, Cassandra, SpiceDB (ReBAC); Kubernetes; AWS/GCP

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We are looking for an experienced engineer with 8+ years of experience in ML infrastructure, including model training and model deployments. You should have hands-on experience with ML optimization, cloud-based technologies, MLOps tools, and proficiency with common programming languages and frameworks of ML. Strong focus on scalability, reliability, performance, and ease of use is essential.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Access Management Engineering Team

The Okta Access Management Team builds the foundation for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. Learn more about Okta’s Engineering on our blog.

About You

We seek a passionate Java Senior Software Engineer to join our dynamic team. The ideal candidate should possess:

• Solid experience in Java web development.

• Enthusiasm for developing high-quality, secure, and performant applications.

• A keen interest in learning about cutting-edge security and identity management challenges.

• A collaborative mindset and excellent communication skills to work effectively with cross-functional teams.

This role offers an exciting opportunity to join a team building innovative identity and security products from the ground up. You will have the chance to work on challenging problems, contribute to the product roadmap, and continuously expand your skills in a rapidly evolving industry.

Job Duties and Responsibilities:

• Collaborate with cross-functional teams (QA, Product, Support, UX) for seamless integration.

• Following best practices, contribute to technical designs, proposals, and architectural decisions.

• Develop high-quality, maintainable software components with comprehensive unit/functional tests.

• Participate in code reviews, providing feedback and ensuring adherence to coding standards and security best practices.

• Contribute to technical documentation and knowledge sharing within the team.

Minimum Requirements:

• 7+ years of experience building Java-based web applications

• Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.

• Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.

• Strong communication skills and the ability to work across functions

Nice to have:

• Experience building anomaly detection systems or risk systems is a huge plus.

• Experience in cloud security, identity, and/or authentication protocols.

• Experience with one or more UI technologies such as Angular, ReactJS, Backbone, and Vue.

• Strong understanding of IAM protocols (FIDO, WebAuthn, SSO, SAML, OAuth) and identity management best practices.

Education and Training:

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience or degree.

• 7 years of software development experience.

#LI-Hybrid

P24155_3352207

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

Responsibilities

• Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
• Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.

Requirements

• Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
• Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.
• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Nice to Have

• SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
• Background on a cloud provider's networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative Projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability

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The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets,our people, our data, and our infrastructure.

Responsibilities:

• Triage custom technical detection alerts
• Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams
• Monitor and triage external threats targeting employees
• Conduct sensitive interviews of employees or other involved parties
• Perform technical analysis of logs from SIEM, DLP, UEBA systems
• Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis
• Build and maintain investigation documentation
• Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks
• Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies
• Provide rapid-turnaround security assessments to support business operations
• Support education and awareness programs to promote a robust security culture
• Serve as the subject matter expert for insider risk and provide training to team members as needed

You may be a good fit if you have:

• Bachelor's degree and/or higher education in a related field
• 5-8 years of experience in insider risk, corporate investigations or a related domain
• 3-5 years experience in conducting investigative interviews
• Experience conducting OSINT for threat assessment, or counterintelligence
• Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
• Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships
• Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)
• Track record of rapid response to time-sensitive security requests
• Comfort operating across organizational boundaries (Security, People, Legal, IT)
• Exceptional communication, collaboration skills and the ability to lead projects with little guidance
• Demonstrated ability to operate independently with minimal oversight while managing sensitive cases

Strong candidates may also have:

• Experience working in the technology industry or at/with AI/ML companies
• Experience with counterintelligence investigations and nation-state threat actor TTPs
• Background in open-source intelligence collection and analysis
• Track record of AI/LLM adoption for productivity gains in investigative work
• Experience contributing to a high growth startup environment
• Specialized knowledge of risks unique to the AI sector
• Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
• Experience working in government, defense, or high-security environments

What makes you successful here:

• Entrepreneurial mindset: You see gaps and fill them without being asked
• Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews
• AI-native approach: You leverage LLMs to work smarter, not just harder
• Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission
• Judgment under uncertainty: You make sound decisions with incomplete information
• Clear communicator: You distill complex findings into actionable insights for diverse audiences
• Cross-functional navigator: You build relationships and collaborate effectively across teams

Annual compensation range for this role is $245,000-$305,000 USD.

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X Payments seeks a Dispute Analyst for our Risk Operations team to investigate and resolve customer disputes across P2P, debit/credit card, and ACH channels.

You'll assess claims, manage provisional credits, and ensure compliance with Regulation E, NACHA, and network rules. This fast-paced role requires strong analytical skills and collaboration with Fraud, Compliance, and Customer Support teams to deliver timely, fair resolutions while minimizing business risk.

Responsibilities

• Investigate incoming customer disputes across P2P, debit/credit card, and ACH transactions, ensuring compliance with internal policies and regulatory standards.
• Validate chargeback rights and ensure required documentation is complete before initiating a dispute with networks or processors.
• Manage and track the issuance of provisional credits, ensuring adherence to Regulation E timeframes and NACHA rules for ACH claims.
• Maintain accurate and detailed case documentation within internal systems for audit readiness.
• Collaborate with internal teams (Fraud, Compliance,) to gather information, resolve gaps, and escalate high-risk or complex cases.
• Respond to representments, pre-arbitration, and final decisions from processors or networks; escalate unresolved or disputable cases as needed.
• Monitor dispute aging and ensure deadlines are met for all required actions, including filings, evidence submissions, and customer communications.
• Communicate resolution outcomes to customers with professionalism and clarity, adjusting for tone and regulatory requirements.
• Identify dispute trends or emerging issues and provide insights to leadership for process or policy improvements.
• Support audits, reporting, and quality assurance reviews by maintaining defensible case notes and outcome records.

Basic Qualifications

• 3+ years of experience handling disputes involving debit or credit card transactions.
• Strong working knowledge of Regulation E (Electronic Fund Transfers Act), NACHA rules, and card network chargeback guidelines (Visa, Mastercard).
• Experience handling consumer disputes end to end across multiple payment types (P2P, debit/credit card, and ACH).
• Excellent written communication skills with the ability to draft clear, accurate, and compliant case notes and customer responses.
• Detail-oriented with strong organizational skills and the ability to meet strict deadlines in a fast-paced environment.
• Familiarity with dispute systems, case management platforms, and CRM tools.
• Analytical and investigative mindset with sound judgment and decision-making abilities.
• Bachelor’s degree in Finance, Business, Criminal Justice, or a related field preferred; relevant certifications (e.g., ETA CPP, CFE) a plus.

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Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.

Responsibilities

• Design and implement fraud detection and prevention systems that operate at global scale and low latency
• Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
• Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience
• Monitor and analyze fraud trends, and proactively respond to new attack vectors
• Define engineering standards around observability, reliability, and rapid response in fraud-related systems

Basic Qualifications

• 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
• Skilled in distributed systems: You've built resilient, high-throughput systems that operate under real-time constraints
• Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
• Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
• Builder mentality: You're excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.

Bonus

• Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
• Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
• Experience in fintech, trust & safety, or adversarial system design
• Comfortable working in a zero-to-one environment with rapid iteration
• Experience with: Golang, Postgres, Kafka, Memcached

Compensation and Benefits

$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Yubico was founded in 2007 by Stina and Jakob Ehrensvard, and is public on Nasdaq Stockholm Main Market: YUBICO. Our customers include Fortune 500 companies, hundreds of government agencies and millions of individuals in over 160 countries that rely on Yubico technology to secure access to computers, online services and mobile apps.

The Role: The Product Security team is responsible for ensuring Yubico develops and maintains secure products and services. As part of the Product Security team, your primary responsibility will be to collaborate with the firmware and software teams to design and integrate solutions that support secure design and development practices.

Tasks & Responsibilities:

• Define and evangelize requirements and guidance for secure by design and secure by default principles
• Implement automation to prevent and detect security flaws in all phases of development
• Conduct design reviews and manual security assessments
• Lead training and awareness sessions
• Define and implement metrics to provide visibility into the impact of your work
• Define, lead, and influence processes to secure products and services
• Identify and advocate for new and novel uses of Yubico’s technology

Basic Qualifications:

• 3+ years in a product security role
• 3+ years of software development
• Proficiency in threat modeling
• Proficiency in C
• Knowledge of common vulnerability classes
• Experience in static code analysis

Optional Skills and Experience:

• Knowledge of WebAuthn, OATH HOTP, OATH TOTP, U2F, PIV, or OpenPGP
• Proficiency in .NET or C++
• Experience developing for ARM
• Experience in targeted fuzzing

Additional Information We are an equal opportunity employer, we value diversity and uphold an inclusive environment where all people feel that they are equally respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity or expression, age, marital status, religion, national origin, disability, protected Veteran status or any other characteristic protected by law.

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As a host, you'll be at the center of VeeFriends live broadcasts, engaging with our audience, providing entertainment, driving sales, and learning how to master multiple live streaming platforms like Whatnot, TikTok Live, eBay Live, and Fanatics Live. You'll also need to be adaptable and learn new software as we expand our live-streaming initiatives.

Responsibilities:

• Set up products, check video/audio, and ensure everything is ready for a seamless broadcast.
• "Break" collectible cards and mystery items on screen for a high-anticipation audience.
• Bring intense energy and charisma to the audience while presenting and explaining collectibles.
• Interact with viewers in real time while simultaneously presenting and promoting VeeFriends products and educating the audience about VeeFriend's wider mission, core values, characters, and more.

Qualifications:

• You're enthusiastic about both the VeeFriends brand and LiveCommerce as a channel opportunity.
• You thrive in fast-paced environments and can quickly learn new tools and technologies.
• A proven passion and expertise in collectibles - including Comics, TCGs, Apparel, Sports Memorabilia, & Cards.
• Passionate and curious about attracting and developing audience & viewership growth and engagement.
• Entertainment and community engagement are instrumental for sustainable revenue growth.

Additional Information:

Kind Reminder: Only full-time and part-time permanent employees are eligible to enroll in VeeFriends benefit plans. We encourage you to apply even if you do not meet all of the requirements listed above.

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This role combines hands-on software development with consulting and customer success. You will represent SpruceID on the ground with our partners, ensuring our technology is deployed effectively and with lasting impact.

Responsibilities

• Lead the design and development of products and solutions for state governments and enterprise customers
• Work side-by-side with customer delivery leads, engineers, and UX designers to ensure successful projects delivery and deployments
• Translate customer requirements into technical architectures and working implementations
• Act as a trusted technical advisor to public sector partners, guiding them through standards adoption and best practices
• Build backend software and full-stack web and mobile applications that meet public sector security, privacy, and accessibility standards
• Contribute to new and existing Rust codebases that run on backend services, mobile devices, and in the browser
• Manage customer deployments and support operations

Qualifications

• 5+ years of experience shipping backend software in statically typed languages, such as C#, Rust, Go, or Java.
• Experience shipping modern web frontends that meet accessibility and security standards
• Proven ability to lead cross-functional engineering efforts and deliver production systems
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and devops practices
• Excellent communication skills and experience working directly with customers, ideally in a consulting or delivery role
• Based in the US and excited to engage directly with state government partners

Bonus Qualifications

• Strong foundation in digital identity, cryptography, data privacy, or blockchain
• Prior experience working with public sector software projects

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The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid's products and internal platforms.

Responsibilities

• Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.
• Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.
• Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.
• Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.
• Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.
• Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.
• Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.
• Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.

Requirements

• 6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
• Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
• Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.
• Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.
• Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.
• Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.
• Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.
• Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.
• Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).
• Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.

Nice to Haves

• Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).
• Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.
• Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.
• Experience improving data models or pipelines that support analytics, reporting, or financial attribution.
• Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.
• Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.
• Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases.

Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

About you

• You are fluent in English
• You hold a PhD / master in AI / data science or you’re self-made
• You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
• You have deployed or built products with large scale user based
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Benefits

• Competitive cash salary and equity
• Health Insurance
• Sport: $90 for gym membership allowance
• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)
• Transportation: $120/month for public transport or Parking charges reimbursed

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Responsibilities:

• Design, characterize, and deliver algorithms such as channelizers, frequency agile detection, adaptive filters, MIMO, wideband detectors, and other algorithms related to signal sorting
• Write and contribute to existing Python repositories using CUDA and PyTorch
• Own requirements, ICDs, and verification from concept through delivery
• Stay current: Track and insert advances in signal processing techniques and associated technologies, adaptive beamforming, RF machine learning, and resilient PNT for GPS-denied ops.

Required Qualifications:

• Masters Degree in Electrical, Computer or Systems Engineering or related field with Graduate study emphasis in Signal Processing; OR a Bachelor’s Degree in an Engineering discipline with 3-5 years relevant working Signal Processing Experience
• Intermediate to advanced proficiency in Python
• Willingness to support critical test events that occasionally require extended hours/weekends.
• Ability to obtain and maintain a security clearance. Learn more about Security Clearances here.
• Must be a U.S. Person (see ITAR Regulations below) due to required access to U.S. export-controlled information or facilities

Bonus Points:

• PhD in Electrical Engineering, Computer Engineering, or related field
• 5+ years’ experience with EW subsystems and payloads.
• EA/ECM technique design (deception, Digital RF Memory, coherent/non-coherent techniques).
• Comms system design (LPI/LPD, Waveform-of-Interest exploitation)
• RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation
• Tools Experience: ADS/AWR/SystemVue, MATLAB/Simulink, Python (NumPy/SciPy), GNU Radio/SDR (USRP/RFSoC), VITA-49; HDL/firmware experience also helpful (Vivado/Quartus/Libero).
• Clearance: Active Secret or ability to obtain and maintain; TS/SCI eligibility preferred. ITAR/EAR-controlled work.
• Field work: supporting periodic travel for flight tests and customer demonstrations/support
• Mindset: Builder-tester who loves first-principles RF, rapid lab iteration, and getting hardware flying fast.

What We Offer:

• Competitive salary, stock options and benefits, including health, vision and dental.
• 401K enrollment at 90 days.
• Generous PTO + most Federal Holidays observed.
• Collaborative and inclusive work environment.
• Access to the latest tools and technologies.
• High levels of responsibility and autonomy.
• Professional growth and development opportunities.
• Access to the hardest problems in electronic warfare.

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This role requires an onsite presence in our El Segundo, CA HQ; a remote work environment is not considered for this opportunity.

Key Responsibilities:

• Design, validate & deliver RF payload subsystems: Design, Integration and Testing of Antennas, RF front ends, SDRs and provide validation of operation. Support development and analysis of RF performance metrics.

• Own requirements, ICDs, and verification from concept through delivery

• Stay current: Track and insert advances in relevant technologies, SDRs, RF Systems, RF machine learning, and PNT.

Qualifications:

• BS/MS in Electrical Engineering, Computer Engineering, or related field

• Antenna and receiver design across analog/RF/mixed-signal domains: mixers, PLLs/LOs, gain/linearity/noise trades; ability to turn simulations into reality.

• Channelizers & wideband architectures: filter banks, analog/digital down conversion, sample-rate planning, clocking/synchronization.

• Willingness to support critical test events that occasionally require extended hours/weekends

• Ability to obtain and maintain a security clearance

• Must be a U.S. Person (see ITAR Regulations below) due to required access to U.S. export-controlled information or facilities

Bonus Points:

• PhD in Electrical Engineering, Computer Engineering, or related field

• 5+ years’ experience with EW subsystems and payloads

• EA/ECM technique design (deception, Digital RF Memory, coherent/non-coherent techniques)

• Digital Signal processing: Design characterize and deliver channelizers, wideband detection/classification, MIMO/digital-arrays, and algorithms in MATLAB/Python/C++

• Communication / Waveform system design

• RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation

• Tools Experience: ADS/AWR/SystemVue, MATLAB/Simulink, Python (NumPy/SciPy), GNU Radio/SDR (USRP/RFSoC), VITA-49; HDL/firmware experience; also helpful (Vivado/Quartus/Libero).

• Clearance: Active Secret or ability to obtain and maintain; TS/SCI eligibility preferred. ITAR/EAR-controlled work. Learn more about Security Clearances here.

• Field work: supporting periodic travel for flight tests and customer demonstrations/support

• Mindset: Builder-tester who loves first-principles RF, rapid lab iteration, and getting hardware flying fast

What We Offer:

• Competitive salary, stock options and benefits, including health, vision and dental.

• 401K enrollment at 90 days.

• Generous PTO + most Federal Holidays observed.

• Collaborative and inclusive work environment.

• Access to the latest tools and technologies.

• High levels of responsibility and autonomy.

• Professional growth and development opportunities.

• Access to the hardest problems in electronic warfare.

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As a Member of Technical Staff, you'll be on the front lines, building capabilities into existing back-office systems to reduce manual work and consolidate disparate systems. Your role demands a highly adaptable and comprehensive technical skillset, as you'll not only create net-new backend services and capabilities but also integrate with and build upon a wide range of existing backend and frontend services.

Your impact will be significant as you collaborate directly with our Global Operations teams to identify critical pain points, prioritize initiatives, translate operational needs into technical requirements, and ultimately design, develop, and deploy solutions that empower our entire organization.

We're looking for someone with 5+ years of professional experience building and enhancing complex internal software systems. You should have experience designing, building and deploying cloud native micro-services, and be passionate about building automated tests alongside your features. Real-world experience building complex distributed systems is also essential.

If you're a creative, humble, and ambitious individual who prioritizes end-user experience and business value over 'cool tech', we'd love to hear from you.

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Your role demands a highly adaptable and comprehensive technical skillset, as you'll not only create net-new backend services and capabilities but also integrate with and build upon a wide range of existing backend and frontend services. Your impact will be significant as you collaborate directly with our Global Operations teams to identify critical pain points, prioritize initiatives, translate operational needs into technical requirements, and ultimately design, develop, and deploy solutions that empower our entire organization.

Technical Skills:

• Rapidly understand and navigate diverse existing codebases across various internal systems.
• Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services.
• Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health.
• Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems.
• Solve complex software design problems that optimize internal operations.

Complexity and Impact of Work:

• Break down large, cross-functional internal projects into manageable tasks, accurately estimating multi-person efforts.
• Ship code and solutions that directly improve the daily efficiency and productivity of global operations teams.
• Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice) in an evolving internal environment.

Organizational Knowledge:

• Jump between and contribute to a wide array of internal systems and operational workflows supporting different business functions.
• Collaborate closely and cross-functionally with Global Operations and other internal stakeholders to understand critical needs and gain alignment on solutions.
• Help scale the team and its impact across the organization.

Communication and Influence:

• Influence the technical direction and roadmap for internal systems, ensuring our technology directly addresses operational needs.
• Mentor and guide other engineers, sharing expertise on navigating diverse internal codebases and understanding the strategic operational goals.

You may be a fit for this role if you:

• Have 5+ years of professional experience building and enhancing complex internal software systems.
• Have experience designing, building and deploying cloud native micro-services.
• Are passionate about building automated tests alongside your features.
• Have real-world experience building complex distributed systems.
• Enjoy building services from scratch and supporting them over a meaningful period of time.
• Have a genuine interest and pride in code quality and infrastructure.
• Prioritize end-user experience and business value over 'cool tech.'
• Developed 'computer science fundamentals', i.e. algorithms, data structures and operating systems (Formal CS degree NOT required).
• Self-describe as some combination of the following: creative, humble, ambitious, detail-oriented, hard-working, trustworthy, eager to learn, methodical, action-oriented, and tenacious.

Although not a requirement, bonus points if:

• Professional experience with Python or Go.
• Professional experience with Kubernetes.
• Have experience with system security (e.g. authentication, authorization, identity, API keys).
• Have a background in the finance industry.
• Were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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About Us

DeepMind's RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini.

The Role

As a Research Scientist, you'll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. You will be expected to implement code, run experiments, own results end-to-end, communicate them internally or externally, as well as collaborate with and empower others.

Your work may involve:

• Initiating or pursuing novel research directions, by proposing and testing research hypotheses.
• Implementing algorithm ideas and run end-to-end experiments, including setup, execution, analysis, and iteration.
• Sharing your skills and knowledge with other researchers.
• Building or improving infrastructure for research at scale.
• Designing evaluations and ablations that answer real questions and change minds.
• Analyzing results carefully, including debugging and failure analysis.
• Communicating clearly through plots, writeups, and paper-ready narratives and figures.
• Contributing to a culture of first-principles thinking, high standards, and direct, constructive feedback.

Our projects span the full range of state-of-the-art machine learning and AI fields, including large language models, distributed machine learning techniques, and much more, but with an emphasis on reinforcement learning.

We take a holistic view of people's backgrounds, and do not expect you to be an expert in all areas. We do expect you to proactively and quickly adopt new technologies and systems, but we also invest a lot of time in training and helping people to continually learn as part of their role.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• A passion for reinforcement learning
• A research track record in RL, including peer-reviewed publications.
• Strong implementation ability and comfort working in research codebases.
• Evidence of owning experiments end-to-end, including analysis and interpretation.
• Strong communication skills and a bias toward clarity and honesty regarding results.
• High agency and drive: You push projects forward, prioritize effectively, and take initiative.
• PhD in ML preferred, or equivalent practical experience.

In addition, the following would be an advantage:

• Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.
• Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.
• Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.
• Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.
• A focus on craft: You care about doing excellent work while maintaining a high velocity.

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You will join Fifty-Five as a Data Consultant, working closely with our clients to help them make data-driven decisions and improve their marketing performance. As a Data Consultant, you will be responsible for collecting, analysing and activating data to drive business growth and customer acquisition.

About Fifty-Five

Fifty-Five is a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. The company has over 320 experts and is part of The Brandtech Group.

Key Responsibilities

• Participate in the promotion of data science and data processing to service the marketing digital
• Follow a plan of action punctuated by different milestones
• Ensure the quality and accuracy of the data
• Ensure the quality of the deliverables sent to the client
• Follow the operational and technical implementation
• Participate, in collaboration with the team, in the development of the Data Science offer of Fifty-Five, both on the marketing side and on the technical or operational side
• Respond to problems related to the management of digital activity through key performance indicators
• Analyse data for the account of the client

Requirements

• You are a graduate of an engineering school or a double course in commerce/engineering and have a first experience in consulting on data or on a Data Analyst role
• You have knowledge of Microsoft Word, Excel, PowerPoint
• You have a strong appetite for technology, a strong analytical spirit, excellent oral and written communication skills, and a commercial spirit that will help you integrate quickly into the teams
• You have a good understanding of the Digital Marketing sector, WebAnalytics, Media Activation, and Machine Learning
• You are able to execute SQL queries
• You have already had notions of Python
• You are able to understand a complex technical architecture schema
• You have a good level of English

Benefits

• 250 employees in Paris and over 320 worldwide
• A multicultural environment with over 20 different nationalities
• Internal values centered on excellence, benevolence, and sharing
• A week-long onboarding program for all new employees and continuous training (and recognized) on the ecosystem and digital technologies
• Responsible and evolving missions to extract the maximum of skills from this experience
• A €10 daily meal ticket allowance, reimbursed at 50%
• 50% coverage of transportation costs (Navigo, bike, etc.)
• A strong emphasis on work-life balance in respect of the right to disconnect
• Flexible remote work policy
• Modern and stimulating offices, with a strong identity, close to Saint-Lazare (gym, ping-pong, baby-foot, etc.)
• Regular after-work events and internal project opportunities (Data Hive, DEI@55, Sustainability@55)

Recruitment Process

• 30-minute call with our HR team (Fit & Motivation)
• First round of interviews: 3 interviews of 30 minutes with 3 consultants (one-to-one)
• Second round of interviews:

1. Preparation of a case study (at home)
2. Presentation and discussion of the case study with 2 managers (15 minutes of presentation + 30 minutes of discussion)
3. Final interview with the Managing Director of the team (30 minutes)

Fifty-Five is convinced that diversity and inclusion are real strengths. We commit to ensuring equal treatment of all received applications, without distinction of gender, age, origin, sexual orientation, health status, or political or religious opinion.

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You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.

Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include...

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.

• AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.

• Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.

• Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research.

• Alignment Assessments: Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card), misalignment-risk safety cases, and coordination with third-party evaluators.

• Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.

• Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more.

_Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area._

Representative projects:

• Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subvertinng our interventions.

• Run multi-agent reinforcement learning experiments to test out techniques like AI Debate.

• Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.

• Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.

• Contribute ideas, figures, and writing to research papers, blog posts, and talks.

• Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy.

You may be a good fit if you:

• Have significant software, ML, or research engineering experience

• Have some experience contributing to empirical AI research projects

• Have some familiarity with technical AI safety research

• Prefer fast-moving collaborative projects to extensive solo efforts

• Pick up slack, even if it goes outside your job description

• Care about the impacts of AI

Strong candidates may also:

• Have experience authoring research papers in machine learning, NLP, or AI safety

• Have experience with LLMs

• Have experience with reinforcement learning

• Have experience with Kubernetes clusters and complex shared codebases

Candidates need not have:

• 100% of the skills needed to perform the job

• Formal certifications or education credentials

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:

$350,000 \- $500,000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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 recruits through our website and other job boards, and we will never ask you to pay for any part of the recruitment process.

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New York City; San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Safety Systems

Compensation

• $380K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm.

The work of this research taskforce spans four pillars:

1. Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being.

1. Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas.

1. System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve.

1. Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress.

About the Role

We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap.

In this role, you will

• Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.

• Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI.

• Create automated tools and infrastructure to scale automated red‑teaming and stress testing.

• Conduct research on failure modes of alignment techniques and propose improvements.

• Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk.

• Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.

• Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work.

You might thrive in this role if you

• Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.

• Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields.

• Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses.

• Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure.

• Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations.

• Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy.

• Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related field.

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Research Engineer/Research Scientist, RL/Reasoning

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $295K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale.

About the Role

As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models.

We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You might thrive in this role if:

• You love being on the cutting edge of RL and language model research.

• You’re a self-starter who takes initiative and ownership of ideas, driving them to completion.

• You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.

• You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key.

• You’re comfortable diving into a large ML codebase to debug and improve it.

• You have a deep understanding of machine learning and machine learning applications.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $185K – $455K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We’re seeking a Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You’ll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware.

Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands-on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential.

Location: San Francisco, CA (Hybrid: 3 days/week onsite)

Relocation assistance available.

In this role you will:

• Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding.

• Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions.

• Write emulation kernels for low-precision numerics and lossy compression schemes, and get Research the information they need to trade efficiency with model quality.

• Prototype numerics modules by pushing RTL through synthesis; hand off novel numerics cleanly, or occasionally own an RTL module end-to-end.

• Proactively pull in new ML workloads, prototype them with rooflines and/or functional simulation, and drive initial evaluation of new opportunities or risks.

• Understand the whole picture from ML science to hardware optimization, and slice this end-to-end objective into near-term deliverables.

• Build ad-hoc collaborations across teams with very different goals and areas of expertise, and keep progress unblocked.

• Communicate design tradeoffs clearly with explicit assumptions and confidence levels; produce a trail of evidence that enables confident execution.

You Will Thrive in this Role if:

• An exceptional track record of high-quality technical output, and a bias for shipping a prototype now and iterating later in the absence of clear requirements.

• Strong Python, and C++ or Rust, with a cautious attitude toward correctness and an intuition for clean extensibility.

• Experience writing Triton, CUDA, or similar, and an understanding of the resulting mapping of tensor ops to functional units.

• Working knowledge of PyTorch or JAX; experience in large ML codebases is a plus.

• Practical understanding of floating point numerics, the ML tradeoffs of reduced precision, and the current state of the art in model quantization.

• Deep understanding of transformer models, and strong intuition for transformer rooflines and the tradeoffs of sharded training and inference in large-scale ML systems.

• Experience writing RTL (especially for floating point logic) and understanding of PPA tradeoffs is a plus.

• Strong cross-functional communication (e.g. across ML researchers and hardware engineers); ability to slice ambiguous early-incubation ideas into concrete arenas in which progress can be made.

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow.

Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth.

Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI’s products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We’re looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity.

In this role, you will:

• Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products.

• Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings.

• Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently.

• Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making.

• Help define frontend architecture, standards, and patterns for a shared billing platform used by teams across OpenAI.

• Collaborate with Product, Data, Finance, Go-To-Market, and Engineering partners to translate ambiguous requirements into clear, high-quality interfaces.

You might thrive in this role if you:

• Software engineering experience, with added experience in payments, billing, or monetization seen as a bonus.

• Strong frontend engineering experience building and maintaining production-grade web applications, with an emphasis on usability, scalability, and maintainability.

• Enjoy engaging with various partners, particularly those outside of engineering.

• Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others.

• Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges.

• Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs.

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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We are seeking a talented Software Engineer to join our team at Valve Corporation. As a Software Engineer, you will be responsible for designing, developing, and testing software applications for our products, including games and other digital content.

Responsibilities

• Collaborate with cross-functional teams to design and develop software applications
• Write clean, efficient, and well-documented code in C++, Java, or other languages as needed
• Develop and maintain software tools and infrastructure to support game development and deployment
• Troubleshoot and debug software issues to ensure high-quality products
• Participate in code reviews and contribute to the improvement of our codebase
• Stay up-to-date with industry trends and emerging technologies

Requirements

• Bachelor's degree in Computer Science or related field
• 2+ years of experience in software development
• Proficiency in C++, Java, or other languages as needed
• Experience with game development or related technologies
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork skills

Benefits

• Competitive salary and benefits package
• Opportunity to work on exciting and challenging projects
• Collaborative and dynamic work environment
• Flexible schedule and remote work options
• Access to on-site amenities and resources

How to Apply

If you are a motivated and talented Software Engineer looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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What you'll do

• Inspect and document the general condition of customer vehicles
• Measure and assess damage to vehicles
• Perform repairs and maintenance work on vehicles

What you need

• Abgeschlossene Berufsausbildung als Fahrzeug- und Karosseriebauer (m/w/d)
• Mehrjährige Berufserfahrung als Fahrzeug- und Karosseriebauer (m/w/d) idealerweise mit Porsche Erfahrung

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What you'll do

This role blends hands-on engineering with technical leadership. You’ll work on challenging problems while also taking broad technical ownership, collaborating across teams, and enabling others to succeed.

What you need

• 5+ years of professional software engineering experience, including work on large-scale or performance-sensitive systems.

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You'll be responsible for planning new vehicle projects in terms of corrosion-protective design of the vehicle construction and paintability of the body. You'll also be responsible for process planning and procurement of equipment (mechanical engineering) for the integration of new vehicle models into production in the paint shop. Ensuring the manufacturability of the product in the production process with interfaces to development and production is also part of your tasks. Additionally, you'll be involved in innovation projects for process optimization/sustainability as well as testing of new technologies.

What you need

Your focus areas will be...

• Insights into automation and innovation projects of the paint shop
• Creation of work packages, tender documents, and price comparisons in the context of equipment procurement
• Setup of production equipment from concept to vehicle integration
• Insights into cross-functional series support teams
• Innovation scouting and benchmarking
• Creation of protocols and preparation of meetings

Why this matters

This role gives you a comprehensive insight into the planning processes of modern, high-tech production facilities. You'll be involved in exciting tasks with your own focus areas, depending on your interests. You'll gain valuable experience through independent participation in projects and personal and professional development. Mobile learning is possible after coordination with the team.

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