The Client Solution Architect role within the Client Solutions capability in Global Client Connectivity plays a critical role in bridging the gap between sales and delivery, ensuring clients receive tailored, technically robust global payment solutions, with seamless implementation of complex or newly commercialised product capabilities.

As a Client Solution Architect, you will be responsible for delivering technical and product solutions to top-tier clients across Global Payments Solutions (GPS) connectivity products. You will lead multiple global, complex projects to onboard clients to Client Connectivity channels, including HSBC net, APIs, SWIFT connectivity, and Host-to-Host (H2H) / file-based connectivity.

You will also lead technical client workshops to understand current-state processes and support automation goals across Accounts Payable, Receivables, Treasury, Payroll, and bank statements/reconciliation integration. You will provide pre-mandate technical support for Request for Information / Request for Proposals (RFI/RFPs) and solution proposals.

You will deliver integrated solutions that streamline workflows and optimise client Enterprise Resource Planning / Talent Management System (ERP/TMS) usage, proactively identify technical blockers, and drive resolution to protect timelines and client outcomes.

You will finalise product and technical solutions post-mandate, documenting the approach in a statement of work; partner with project management to build plans, identify risks, and manage dependencies.

You will communicate effectively with stakeholders at country, regional and global levels; act as liaison across Client Service, Sales/Coverage, Product and Information Technology (IT).

You will manage a varied portfolio of complex, global integration initiatives, including piloting new GPS products/services.

You will simplify and challenge existing processes, contribute to continuous improvement and client experience outcomes, and provide feedback to product teams on client requirements and competitive landscape to drive enhancements.

You will maintain an in-depth understanding of the financial and technical environment of clients' businesses and stay current on industry trends and payment regulation changes.

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You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

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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In this role, you will:

• Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
• Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
• Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
• Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
• Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
• Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, you'd have:

• Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
• Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
• Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
• Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
• Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
• IaC: Familiarity with infrastructure as code (e.g., Terraform).
• Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves:

• Exposure to Vision-Language-Action (VLA) models.
• Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
• Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

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.

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About us

At Pomelo Care, we are redefining the healthcare journey for women and children. As the leading virtual medical practice in our field, we provide a continuous circle of support,from the first steps of family building and the complexities of pregnancy to the nuances of postpartum, pediatric, and midlife care.

What you'll do

As our first Product Security Engineer, you will sit at the intersection of Security and Software Engineering. Reporting directly to the CISO, you will be a "Security Builder": embedded within our engineering teams with the autonomy needed to build the automation, tools, and workflows that make security a seamless part of the software development lifecycle.

You aren't just finding bugs; you are building the systems that prevent and fix them at scale. Your work will be centered on three core strategic pillars:

• Secure architecture and auth: you will design and implement auth enhancements such as magic link improvements and access/audit log features to monitor access and improve transparency.

• Privacy engineering: you will lead the privacy engineering initiatives including DSAR integration, building automated data deletion capabilities directly into the Pomelo mobile app and our internal platform to ensure seamless compliance. You will also help improve privacy-preserving data de-identification and anonymization as needed.

• Full-cycle remediation: you will own the end-to-end pentest-to-fix lifecycle. This means you don't just triage reports; you write the code to fix penetration test findings, remediate SAST issues, and build greenkeeping systems for high-volume dependency patching with regression testing.

Beyond these pillars, you will serve as a high-leverage engineering partner to the broader InfoSec team by:

• Building secure-by-default libraries: reducing the load on core Software Engineering by creating internal libraries and patterns that make security the default path.

• Threat modeling: partnering with engineering leads to conduct threat modeling and ensure secure design at the earliest stages of the development process.

• Scaling through collaboration: as a security resource embedded in our engineering teams, you will help engineering squads navigate complex security use cases, translating GRC requirements into elegant code rather than manual checklists.

Who you are

You’re an enthusiastic and collaborative engineer who enjoys solving meaningful problems through code. You view security as a product challenge, and you believe the best way to secure a system is to make the "secure way" the "easy way." In particular, you:

• Are a builder first: Have 5+ years of software engineering experience with a strong foundation in computer science and a track record of shipping production-grade code (Python, Go, Kotlin or similar).

• Have a security mindset: You understand the OWASP Top 10, identity flows and prompt injections, but you’d rather build a system that eliminates a class of vulnerability than manually triage individual alerts. You believe security expertise should be embedded into the development process, not bolted on at the end.

• Are an automation enthusiast: you enjoy tackling complex problems with practical automation and are keeping up with trends in LLM agents to multiply your engineering impact.

• Navigate ambiguity: as a floating resource across various engineering teams, you are comfortable context-switching and can quickly build rapport with different engineering teams to understand their needs.

We’ll be super excited if you

• Have experience with Google Cloud Platform (GCP), Github Advanced Security (GHAS), Stytch, Sentry, Fullstory, Statsig or similar technology stack.

• Have prior experience in healthcare data, including understanding of HIPAA, SOC 2 Type 2 and HITRUST compliance requirements.

• Have experience building data infrastructure that supports AI/ML workloads,internal developer platforms and privacy preserving data de-identification and anonymization techniques.

• Have previously worked in a fast-paced, product-oriented startup environment.

Why you should join our team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it.

We strive to create an environment where employees from all backgrounds are respected. We also offer:

• Competitive healthcare benefits

• Generous equity compensation

• Unlimited vacation

• Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

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Your responsibilities will include identifying areas where ML can create value for our customers, identifying the right ML framing of product problems, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic, but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring & socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.

To be successful in this role, you will need to have broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge (experiment design, dealing with confounding etc), intermediate programming skills, strong communication skills, both within engineering teams and across disciplines, comfort with ambiguity, typically have advanced education in ML or related field (e.g. MSc), and scientific thinking skills. Bonus skills and attributes include track record shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, strong stats or math background, visualization, data skills, SQL, matplotlib, etc.

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Duolingo's tenets of gamification, delightful design, brand equity, and character IP are key levers you will have access to grow an ad offering that delivers for partners and improves the free user experience.

This role reports into our Director of West Coast Sales, where you will work in a high-velocity environment to scale revenue by building on Duolingo Ads' foundation, engaging your network to generate demand and drive value to Duolingo and our advertising partners.

You will:

• Own and grow a portfolio of advertisers through prospecting, pitching, closing, and renewal
• Drive revenue growth by generating demand within key verticals by building a robust new business pipeline
• Work effectively and smoothly with key members of the ads team across biz, product, design, and engineering to advance deals
• Share actionable marketplace feedback to inform ads leaders, advance deals, and shape products
• Establish and implement efficient, repeatable sales strategies and operational processes, prioritizing accounts and leading key relationships effectively
• Make data-informed decisions around pricing, packaging, and prioritization
• Deliver clear, persuasive pitches and proposals tailored to advertiser goals using internal and external data
• Contribute positively to team culture and shared goals

You have:

• 5-8 years of experience in direct ad sales
• Success selling video and native/custom ad formats in premium, digital environments
• Ability to engage senior decision makers at clients and agencies while also rolling up your sleeves to build sales collateral, troubleshoot issues, and directly bring in revenue
• Consistent track record of building new business into lasting, mutually beneficial ad partnerships with top-tier advertisers
• Strong understanding of ad tech and mobile app ecosystems
• Understanding of the Duolingo product and the freemium business model
• Expertise in using data to derive insights and assess the performance of ad campaigns
• Experience building standard and innovative ad buying agreements
• Exceptional communication and presentation skills
• Ability to operate at a high level with a lot of ambiguity in a fast-paced environment

Salary Range: $120,700-$163,300 USD

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The Spacecraft Comms team will work closely with related teams, such as the spacecraft design, ground, and flight software, to help improve both the ground and satellite-based capabilities. Your primary responsibility will be the successful design, test, and operations of the various communications links onboard Anduril's fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril's Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. You will work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

Key responsibilities include:

• Contributing to the spacecraft communications subsystems for various spacecraft programs in all orbital regimes
• Integrating with legacy systems to unlock 21st-century capabilities
• Developing modern, software-defined approaches to autonomous spacecraft communications leveraging proliferated constellations of ground and space-based assets
• Owning space-to-ground and space-to-space ICDs and designs for communication subsystems
• Collaborating across multiple teams to plan, build, and test complex functionality
• Coordinating with end-users, other operators, and customers to turn needs into features while balancing user experience with engineering constraints
• Supporting challenging schedules during ground testing, launch windows, and on-orbit operations of the spacecraft systems

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Electrical Engineering, RF Engineering, Computer Science, or other engineering degree
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Flexible and agile problem-solving skills
• Working knowledge of and experience with MATLAB
• Ability to quickly understand and navigate complex systems and detailed requirements
• Experience with RF subsystem design for space-space and space-ground in multiple orbital regimes
• Experience with optical inter-satellite and optical space-ground systems
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills, including creating documentation and training materials
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred qualifications include:

• Experience with Python, Go, C++, and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Experience testing comms subsystems in laboratory environments that mimic the space environmental constraints
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds, and digital spacecraft simulators through nominal and fault scenarios
• Exposure to ground station operations and providers
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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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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This is a 6-month contract role with a possibility of extension or conversion given further business need. You will work directly with our hiring partners, recruiters, and candidates to create a personal and creative recruiting experience.

Key responsibilities include:

• Scheduling, coordinating, and confirming candidate interviews, handling cancellations and reschedules promptly across multiple time zones
• Collaborating and communicating effectively with recruiters, hiring managers, and business leaders to ensure smooth interview processes
• Creating a welcoming and high-touch candidate experience for both virtual and in-person interviews
• Supporting Recruiting Operations on initiatives related to improving coordination workflows, candidate experience, and interviewer experience

Ideal candidates will have 1-2 years of relevant experience, familiarity with Greenhouse, ModernLoop, or similar ATS/scheduling tools, and a highly organized and process-driven approach to work.

This role is tied to our New York office and requires coming into the office 3 times a week. The salary range for this position is $35-40 per hour.

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This role operates in a fast-paced environment where launch timelines move quickly and turnarounds are tight. You'll need to make sharp creative decisions without the luxury of extended development cycles, pivoting when priorities shift, moving from brief to execution with speed, and delivering high-quality work under real pressure.

You're someone who can walk into a room, understand what a launch needs to communicate, and build a video strategy around it , then execute it at the highest level. You lead crews with confidence, guide collaborators through ambiguity, and know how to get great work across the finish line even when the timeline is short.

Responsibilities:

Direct and oversee video production for model and product launches, from initial creative brief through final delivery, often on compressed timelines

Develop creative concepts, treatments, and narrative strategies that translate complex AI capabilities into compelling, human-centered stories

Lead and manage production crews on set, including DPs, camera operators, sound, lighting, and other crew members

Partner with marketing, product, and communications teams to align creative direction with launch goals and messaging

Guide post-production workflows, providing creative direction to editors, colorists, and sound designers

Identify the story worth telling within a launch, taking raw elements, context, and product details and crafting a cohesive narrative arc

Build and maintain scalable production processes that can flex to meet the pace of Anthropic's launch cadence

Stay current with video production trends, launch formats, and storytelling techniques in the technology and AI space

You may be a good fit if you:

Have 6+ years of professional video directing or production experience, with a portfolio that demonstrates your ability to lead high-impact launches or campaigns

Have experience directing at a SaaS or AI company, or have worked as part of an in-house creative team in a fast-paced technology environment

Are a skilled storyteller who can take disparate elements, such as product features, brand positioning, and customer impact, and shape them into a compelling narrative

Have proven experience leading production crews on set and are comfortable owning creative decisions under time and budget pressure

Thrive under tight turnarounds and can maintain creative quality when timelines are compressed

Understand the full filmmaking process, from pre-production through delivery, and can provide informed direction at every stage

Are an excellent communicator who can articulate creative vision clearly to both production teams and non-technical stakeholders

Are proactive and calm under pressure, bringing clarity to ambiguity and keeping productions moving even when priorities shift

Are excited about the challenge of making AI launches feel meaningful to a broad audience

Strong candidates may also have:

Hands-on experience as a director of photography or camera operator

Editing experience and comfort working directly in post-production

Experience directing launch videos, keynote content, or product announcement films

Background working with technical or complex subject matter and making it accessible on screen

Familiarity with motion graphics, animation, or mixed-media storytelling techniques

Knowledge of different delivery formats and platform requirements (web, social, events, broadcast)

Experience building or scaling a video production function from the ground up

The annual compensation range for this role is $200,000-$255,000 USD.

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As a Software Engineer on the Research Data Platform team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet), high-volume time series data , ingestion, storage, and efficient querying, data cataloging, lineage, or metadata management systems, or ML experiment tracking or metrics platforms.

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This means helping to build the processes, documentation, and systems that grow with us, not just executing the ones that already exist. Beyond scheduling, you'll plug into broader recruiting operations such as talent mapping, reporting, referral processing, and events - wherever the team needs support.

Your responsibilities will include:

Maintaining data integrity across our ATS and recruiting tools - auditing regularly and keeping things accurate. Supporting talent mapping, referral processing, inbound application triage, and recruiting events. Tracking interview feedback completion and following up to make sure nothing stalls. Identifying process gaps and proposing improvements - this role is expected to make the function better, not just execute. Collecting, organizing, and auditing interview feedback to ensure nothing gets lost or delayed. Maintaining up-to-date recruiting information in documentation and in Slack, supporting data integrity across recruiting systems.

You'll also manage high-volume interview coordination across multiple time zones, calendars, and stakeholders while maintaining a world-class candidate experience. Coordinate all interview logistics, from travel and expenses to room setup and technical support. Serve as the main point of contact for candidates, communicating in a warm, professional, and informative manner from initial screening through offer. Anticipate scheduling bottlenecks before they happen: monitor interviewer availability, flag conflicts early, and keep hiring velocity high. Scale interviewer pools by partnering with teams to identify, train, and prepare new interviewers as hiring volume grows. Use modern scheduling tools (e.g., Greenhouse, ModernLoop) to automate scheduling, reduce manual work, and improve response speed. Manage high-volume scheduling across time zones, calendars, and multiple stakeholders.

The ideal candidate will have experience coordinating schedules, managing calendars, or supporting operations in a fast-paced environment. They'll be excellent at written and verbal communication, able to adapt quickly to different teams and roles, and comfortable with Google Workspace, scheduling tools, and Slack.

Logistics: Location: San Francisco, California. Compensation: $140,000 - $200,000 USD per year, depending on background, skills, and experience. Visa sponsorship: Yes. Benefits: Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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The successful candidate will have strong thermal design expertise, experience leading cross-functional design efforts in fast-paced environments, and excellent negotiation and stakeholder-management skills. They will also be able to mentor and support the growth of junior engineers.

In addition to a competitive salary, CoreWeave offers a variety of benefits, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid life insurance, and flexible PTO.

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You will participate with the global recruiting team to develop, implement and execute recruiting strategies, solidify relationships with Field leadership, and serve as an advisor and partner to build healthy pipelines of stellar candidates and fill current openings.

As a passionate Elastic brand ambassador, you will help us build our talent brand in addition to our talent pipeline. You will also partner with other departments, such as Finance and Legal, to drive the recruiting process.

To succeed in this role, you will need 8+ years of sales recruiting experience, demonstrable experience recruiting for a software company, and the ability to effectively articulate the Elastic value proposition and story to candidates.

You will also need to be able to cold-call and establish relationships by phone, email, and social media channels, experience collaborating with and influencing senior hiring managers and executives throughout the recruiting cycle, authority in direct sourcing and effective interviewing techniques, and working knowledge of ATS tools and recruiting technologies.

Additionally, you will need to be bilingual in both English and Japanese.

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Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

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

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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We're looking for someone with 5-8 years of applied ML experience, previous background in a senior/staff role, and significant demonstrated impact that their work has had on the product and/or the teams. You should have strong programming skills, experience as the primary technical leader for a team, and strong communication skills, both within engineering teams and across disciplines.

As a bonus, we're looking for someone with a track record of shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area, and strong stats or math background.

We offer competitive salary and equity in a fast-growing start-up, regular compensation reviews, pension scheme, life assurance, comprehensive health and dental insurance, flexible paid time off policy, paid maternity leave, and relocation support for those moving to our offices.

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This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You'll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You'll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.

Responsibilities

• Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.
• Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.
• Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
• Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.
• Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.
• Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• 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.
• Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
• Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Preferred qualifications:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Track record of improving research productivity through infrastructure design or process improvements.
• Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.
• Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.
• Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).
• Contributions to open-source GPU, ML systems, or compiler optimization projects.
• Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.

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As a software engineer on our data infrastructure team, you'll design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities. You'll develop high-throughput systems for data ingestion, processing, and transformation , including training data catalogs, deduplication, quality checks, and search. You'll also build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.

You'll collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles. You'll implement and maintain monitoring and alerting to support platform reliability and performance.

If you're excited by distributed systems, large-scale data mining, open-source tools like Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building from the ground up, we'd love to hear from you.

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You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives.

Your responsibilities include refining annotation tools and selecting complex problems from advanced Earth Science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.

• Support and ensure the delivery of high-quality curated data.

• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.

• Interact with the technical staff to help improve the design of efficient annotation tools.

• Solve problems that help drive innovation in Earth Science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.

• Choose problems from various fields across Earth Science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in earth science, geophysics, oceanography, atmospheric science, or a highly related field.

• Expertise and specialization in an Earth Science subdomain, including but not limited to oceanography, geophysics, geochemistry, atmospheric science, geology, seismology.

• Proficiency in reading and writing, both in informal and professional English.

• Strong ability to navigate various information resources, databases, and online resources is essential.

• Outstanding communication, interpersonal, analytical, and organizational capabilities.

• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in earth science, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.

• Previous AI Tutoring experience.

• Teaching experience (as a professor, teacher, or tutor).

• Experience in technical writing, journalism, or a professional writing setting.

Location and Other Expectations:

• This position is based in Palo Alto, CA, or fully remote.

• The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.

• If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.

• For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave.

Specific details and role specific information will be provided to you during the interview process.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Responsibilities:

• Work directly with technical leaders to deeply understand the hiring requirements for their team
• Own full-cycle recruiting for technical roles, including sourcing, assessment, closing, and candidate experience
• Build deep understanding of candidate motivations, decision drivers, and long-term goals to effectively guide and close top talent
• Maintain a strong sense of urgency while preserving quality and judgement
• Continuously improve recruiting processes to increase signal, speed, and candidate quality
• Leverage data to: increase candidate ROI, increase candidate conversion rates, build more efficient processes, keep stakeholders informed of hiring trends, and monitor hiring pace
• Proactively source candidates through creative research, networks, and direct outreach
• Ensure an exceptional candidate experience every step of the candidate journey

Basic Qualifications:

• 5+ years of experience recruiting for technical roles at fast-paced, hyper-growth environments, whether it be agency or in-house
• Strong understanding of the technical talent landscape and how top talent evaluates opportunities
• Demonstrated success sourcing and closing highly competitive technical candidates
• Outcome-oriented recruiter with strong analytical skills and a proven track record of data-driven decision-making with the ability to thrive in ambiguity
• Highly thoughtful communicator who considers message, context, and candidate’s perspective

Preferred Skills and Experience:

• Exceptional judgement and intellectual curiosity
• Strong sense of ownership and accountability for outcomes
• Genuine alignment with xAI’s mission and a strong desire to contribute to it
• Experience working with Greenhouse ATS
• Experience supporting hiring events and driving various actions post event to understand ROI

Compensation and Benefits:

$130,000 - $210,000 USD

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

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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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.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

About the People & Culture Team

The Mixpanel People & Talent team enables an ownership culture where exceptional people do their best work: cultivating extraordinary talent who drive innovation, speed, and customer impact. We are trusted partners who balance thoughtful urgency with care, bringing clarity and accountability to everything we do so that Mixpanelers at every level can grow, contribute, and thrive.

We lead with empathy and curiosity, grounding our decisions in data and insight. We step forward in ambiguity, thoughtfully challenge existing paradigms, and show up for each other and for the business with low ego and high support. By living these values, we earn the trust to shape the future of Mixpanel from the inside.

About the Role

The Senior Manager, People & Talent Operations is a key operational leader on the People & Culture team, responsible for the systems, tools, processes, and programs that power Mixpanel's people function end-to-end. Reporting to the VP of People, this role owns our HR and talent technology ecosystem, global benefits administration, compensation operations, headcount planning, and people analytics.

Responsibilities

• Lead, develop, and support a small team consisting of a Talent Operations Lead, People Operations Manager, and Compensation Partner

• Oversee Mixpanel's HR tech stack, including HRIS, ATS (Greenhouse), performance and engagement platform (Lattice), compensation tooling (CandorIQ), and additional tools as needed; drive system optimization and data integrity across all platforms

• Lead (partnering with Finance/Payroll) the ongoing HRIS migration from Paylocity to UKG, ensuring continuity of operations, data accuracy, and a smooth employee experience throughout the transition

• Own recruiting operations (via Talent Ops Lead), including ATS configuration, hiring workflow design, process documentation, and data hygiene in Greenhouse

• Manage US and global benefits programs, including benefits vendor relationships and broker partnerships; oversee PEO relationships for employees in smaller international markets

• Own Mixpanel's immigration program, partnering with external counsel to support visa sponsorships, work authorization, and compliance across all geographies

• Own compensation operations in partnership with the Compensation Partner, including compensation survey participation, job architecture maintenance, compensation education and end-to-end compensation cycle administration

• Build and maintain people analytics infrastructure, including regular workforce reporting, executive dashboards, and ad hoc analysis for senior leadership

• Partner with Finance on headcount planning processes, ensuring accurate data, clean tooling, and streamlined workflows across People and Finance systems

• Design, document, and continuously improve People processes to drive efficiency, compliance, and a best-in-class employee experience

• Evaluate and manage external vendors and partners across the people tech, and benefits landscape as Mixpanel scales

• Identify and implement AI-powered tools and automation to streamline People workflows, reduce manual effort, and increase the speed and accuracy of operations across the team

We're Looking For Someone Who Has

• 8+ years of progressive HR/people operations experience, with at least 2 years in a people management role

• Hands-on experience owning and administering HRIS platforms at scale; experience with UKG or Paylocity is a strong plus

• Experience managing US and international benefits programs, including broker and vendor relationships

• Familiarity with PEO models and global employment solutions for smaller international markets

• Experience owning recruiting operations and ATS administration a plus; Greenhouse experience preferred

• Strong analytical skills, with a track record of building people dashboards and workforce reports for executive audiences

• Experience partnering with Finance on headcount planning processes and tooling

• A systems-thinking mindset with a passion for building scalable, well-documented processes, and a track record of leveraging AI tools to automate workflows and drive operational efficiency

• Excellent cross-functional collaboration skills and a high degree of ownership and follow-through

• Bachelor's degree in HR, Business, or a related field, or an equivalent track record of building and scaling people operations functions

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

$216,750-$293,250 USD

Benefits and Perks

• Comprehensive Medical, Vision, and Dental Care

• Mental Wellness Benefit

• Generous Vacation Policy & Additional Company Holidays

• Enhanced Parental Leave

• Volunteer Time Off

• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

• Make Bold Bets: We choose courageous action over comfortable progress.

• Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

• One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

• Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

• Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

• Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously

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Our Recruiting Coordinator will work closely with our Recruiters, Sourcers, Hiring Managers, and Interviewers to support the growth of our fast-paced organization. This role is an integral part of the team and is responsible for managing all interview scheduling and related logistics. Additionally, this person will play a role in identifying areas for improvement and efficiency gains.

Excellent candidate experience will be your goal, and you'll be our invaluable partner in helping guide candidates through Anduril's interview process. You possess excellent communication skills. You can shift gears at a moment's notice while being able to think proactively. And most importantly, you enjoy challenging yourself while helping to scale a world-class organization.

Anduril has a positive, diverse, and supportive culture,we look for people who are curious, inventive, and work to be a little better every single day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative.

WHAT YOU’LL DO

• Manage all logistics related to interview scheduling from receipt of scheduling request to conclusion of interview process
• Assist prospective candidates with travel and hotel accommodations through Egencia
• Update candidate records and manage interview coordination requests in Greenhouse (ATS) and ModernLoop (scheduling tool)
• Navigate interviewers' complex and dynamic schedules
• Correspond with candidates via phone, text, and email
• Find opportunities for interview process and system improvement, including identifying bottlenecks and improving candidate experience and scheduling efficiency
• Greet candidates with poise and confidence, facilitate the onsite interview process, and ensure an excellent candidate experience
• Build strong relationships with key stakeholders (Recruiters, Sourcers, Hiring Managers, Interviewers, Recruiting Coordination team)
• Lead and participate in project work to support the Recruiting Coordination team

QUALIFICATIONS

• Experience as a Recruiting Coordinator or in Recruiting (at a fast-paced, growing company)
• Candidate-first mentality
• Able to work efficiently and prioritize tasks in a dynamic environment
• Relentless attention to detail and accuracy
• Great team player but can also work well independently with limited guidance
• Process-driven with strong habits and a passion for process improvement and efficiency
• Strong verbal and written communication skills with an emphasis on providing good customer service and building strong relationships
• Ability to remain composed and detail-oriented in a fast-paced and dynamic environment
• Positive attitude with a growth mindset
• Willing to work in-person at Anduril's Arsenal-1 facility in Ashville, OH 4-5 days per week

BONUS POINTS

• Experience using ATS applications; Greenhouse experience strongly preferred
• Proven experience scheduling within Outlook
• Familiarity with Slack
• Experience using ModernLoop
• Experience working with asynchronous and geographically diverse teams

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You'll partner with a small, senior Rust-first team to ship reliable graph capabilities and make them easy for other teams and agents to use. The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.

In this role, you'll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you'll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

Key responsibilities include:

• Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.

• Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.

• Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.

• Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.

• Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.

• Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.

• Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.

• Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.

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This role will lead product management across systems that serve our employees, candidates, HR and People Operations, Talent Acquisition, and Legal teams. You will be the connective tissue between People, Legal, IT, Security, and Finance , designing and shipping platforms, workflows, and automations that are delightful, compliant, and highly efficient.

Deliver a unified “hire-to-retire and contract lifecycle” experience that reduces friction and manual work for employees, candidates, managers, HR and People Ops, Talent Acquisition, and Legal stakeholders.

Define and own the product vision and strategy for our People Tech and Legal systems ecosystem, spanning HRIS, ATS, performance and engagement tools, learning platforms, compensation, employee relations tooling, and CLM and Legal platforms.

Lead end-to-end product delivery for People Tech and Legal systems, including discovery, requirements, prioritization, launch, adoption, and continuous improvement, with a strong focus on measurable business outcomes.

Use automation, integrations, and GenAI-driven workflows to transform processes such as recruiting, onboarding, internal mobility, performance cycles, policy and document management, and contract review, approvals, and renewals.

Establish and own clear product metrics (for example SLA adherence, time-to-hire, time-to-onboard, cycle time for contract workflows, data quality, and control health) and run the roadmap to move those metrics in meaningful ways.

Partner with Legal, Compliance, Security, and Finance to embed pragmatic controls into systems and workflows, ensuring People and Legal platforms support SOX, SOC 2, privacy, and regulatory requirements while still enabling high-velocity operations.

Act as the principal product partner for People and Legal leadership, influencing how we scale our operating models, controls, and user experience as the company grows, and setting standards other product areas rely on.

We are looking for a strategic thinker, structured problem solver, fast mover, thoughtful risk taker, and deeply customer-obsessed product leader who can operate at both architecture and execution levels.

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As a software engineer on this team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you have significant software engineering experience, particularly building data-intensive applications or internal tooling. You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application development.

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights.

Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.

• AI is changing data work, fast.

dbt’s data control plane keeps data engineers ahead of that curve.

• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world.

And we’re just getting started..

We’re growing fast and building a team of passionate, curious people across the globe.

Learn more about what makes us special by checking out our values.

Job Description

At dbt Labs, customers are our most powerful advocates, and this role sits at the center of how their voices shape our growth.

Do you love building meaningful relationships, designing scalable programs, and turning customer success into compelling stories?

As a Customer Advocacy Manager, you’ll lead the strategy, systems, and execution behind our global advocacy efforts.

You’ll own an integrated, highly visible customer advocacy ecosystem, connecting sales, marketing, product, community, and customer success around shared goals.

From customer advisory boards to content pipelines, you’ll design programs that elevate our most influential customers, strengthen our brand, and drive measurable business impact.

This is a highly cross-functional, high-impact role for someone who thrives at the intersection of relationship-building, program leadership, and strategic storytelling.

Responsibilities

• Build and lead a scalable, end-to-end customer advocacy strategy that integrates across go-to-market teams

• Partner closely with global marketing teams to create high-velocity, multi-format customer storytelling programs across priority regions

• Design, manage, and evolve dbt Labs’ Customer Advisory Board program, including charter development, governance, executive engagement, roster growth and biannual in-person and virtual meetings

• Own content strategy and execution for the dbt Labs Executive Summit, in partnership with the Strategic Events team

• Develop systems, workflows, and documentation to manage advocacy programs at scale and provide organization-wide visibility into progress and impact

• Grow, nurture, and steward long-term relationships with executive-level and practitioner-level customer advocates

• Identify and enable customer voices for speaking opportunities, media, analyst engagements, and industry events

• Build and manage customer recognition and advocacy spotlight programs

• Collaborate with sales and customer success leadership to align advocacy efforts with account strategy and pipeline goals

• Create and maintain a robust, self-service customer reference and advocacy database

• Serve as a trusted advisor and brand ambassador in all customer interactions

• Partner with product marketing, brand, communications, community, and sales to ensure cohesive storytelling and program alignment

• Establish and align execution to clear project plans, timelines, and accountability structures for all major initiatives

• Build and deliver executive-ready reporting on program performance, outcomes, and ROI

• Continuously assess program effectiveness and iterate based on data and stakeholder feedback

Requirements

• Experience leading customer advocacy, community, or reference programs in a SaaS or technology environment

• Proven success designing and managing customer advisory boards and executive engagement programs

• Exceptional relationship-building and cross-functional influence skills

• Strong program and project management capabilities, with experience building scalable systems and processes

• Experience developing high-impact customer content programs with sustained production velocity

• Demonstrated ability to design measurement frameworks and executive-facing reporting

• Confidence working directly with senior leaders and customer executives

• Ability to balance strategic vision with hands-on execution in a fast-paced environment

• Excellent written, verbal, and presentation skills

• Highly organized, proactive, and effective at managing competing priorities

• Entrepreneurial mindset with a passion for building new programs

• Comfort operating in a fully remote, globally distributed, asynchronous environment

What Will Make You Stand Out

• Deep experience building mature, scalable customer advocacy ecosystems

• Strong executive presence and credibility with internal and external stakeholders

• A data-driven mindset with a passion for measurement, optimization, and continuous improvement

• Proven ability to create systems that improve visibility, accountability, and efficiency

• A strong personal brand as a collaborative, trusted partner across the organization

• Demonstrated success acting as a public-facing brand ambassador

• History of building innovative storytelling formats and customer engagement models

Qualifications

• 5+ years experience in customer marketing or customer advocacy roles

• Tech industry experience (SaaS preferred; data industry a plus)

• Proven track record of growing program ownership and responsibilities (agency/vendor management experience a plus)

Remote Hiring Process

• Interview with a Talent Acquisition Partner

• Interview with Hiring Manager

• Take Home Task

• Team Interviews with close stakeholders and leaders

Benefits

• Unlimited vacation time with a culture that actively encourages time off

• 401k plan with 3% guaranteed company contribution

• Comprehensive healthcare coverage

• Generous paid parental leave

• Flexible stipends for:

• Health & Wellness

• Home Office Setup

• Cell Phone & Internet

• Learning & Development

• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.

Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, Austin, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $148,000 - $179,000 USD

• The typical starting salary range for this role in the select locations listed is: $164,000 - $199,000 USD

#LI-LC1

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences.

Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time.

For employees outside the United States, dbt Labs offers a competitive benefits package.

RSUs or comparable benefits may be offered depending on the legal or country limitations.

Privacy Notice Supplement to Privacy Notice - Californians Supplement to Privacy Notice - EEA/UK

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Key Responsibilities:

• Provide embedded CI program support to an Anduril division.
• Support the development and execution of a variety of key CI & Security Investigation team initiatives tailored to the program's unique threats and requirements.
• Coordinate with federal agencies, including the Department of Defense (DoD), Intelligence Community (IC), and Federal Law Enforcement, to access relevant threat information and stay current on evolving adversary tactics.
• Establish and leverage collaborative partnerships across internal stakeholders to identify data necessary to support robust research and analysis of threats from nation-state adversaries to the program's workforce and supply chain.
• Analyze data from various sources to identify threats, anomalous behaviors, and other indicators.
• Produce tailored and strategic products to support the Division.
• Provide analytic support to suspected CI, Insider Threat, and security incidents or issues involving supply chain security.
• Prepare detailed reports and presentations on threat findings, case studies, risk assessments, and recommended actions for multiple audiences.
• Provide relevant CI training and awareness.
• Inform and support program OPSEC plans.

Requirements:

• Bachelor's or Master's degree in Security or Intelligence Studies, Political Science, Criminal Justice, or a related field.
• 7 years of relevant work experience in CI investigations or analysis, Insider threat, people/entity risk vetting, intelligence analysis, assessing complex threats from nation-state actors, and insider threats.
• Experience leveraging critical thinking skills to creatively solve complex problems and produce analysis and recommendations in a fast-paced environment.
• Experience leveraging multiple data sets and tools to support complex research and analysis as well as developing risk assessments and risk mitigation recommendations.
• Experience providing CI support to classified programs.
• Demonstrated understanding of the intelligence threats facing the industry.
• Strong critical thinking, collaboration, and interpersonal skills.
• Proven ability to effectively analyze and communicate complex risks.
• Must possess an active security clearance (Top Secret/SCI is required).

Preferred Qualifications:

• Familiarity with relevant laws, regulations, and standards governing defense industry security.
• Experience conducting analysis of nation-state-related threats for government and private industry.
• Formal analytic training and/or certifications.

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This is a contract role ideal for someone who thrives in a dynamic environment and enjoys coordinating processes, managing systems, and creating a great candidate experience.

Responsibilities:

• Schedule interviews and coordinate logistics across multiple time zones

• Maintain accurate data in our Applicant Tracking System (ATS)

• Communicate with candidates throughout the interview process to ensure a smooth and positive experience

• Partner with recruiters and hiring managers to support end-to-end recruitment processes

Basic Qualifications:

• 1–3 years of experience in a coordination, recruiting, or people ops/HR support role

• Strong organisational and time management skills; ability to manage multiple tasks with high attention to detail

• Excellent written and verbal communication skills in Japanese and English will be a plus

• Comfortable working with different time zones and managing scheduling complexity

• Familiarity with ATS (Greenhouse or Workday) and Google Suite products is a plus

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Our Recruiting Coordinator will work closely with our Recruiters, Sourcers, Hiring Managers, and Interviewers to support the growth of our fast-paced organisation. This role is an integral part of the team and is responsible for managing all interview scheduling and related logistics. Additionally, this person will play a role in identifying areas for improvement and efficiency gains.

Excellent candidate experience will be your goal, and you'll be our invaluable partner in helping guide candidates through Anduril's interview process. You possess excellent communication skills. You can shift gears at a moment's notice while being able to think proactively. And most importantly, you enjoy challenging yourself while helping to scale a world-class organisation.

Anduril has a positive, diverse, and supportive culture,we look for people who are curious, inventive, and work to be a little better every single day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative.

WHAT YOU’LL DO

• Manage all logistics related to interview scheduling from receipt of scheduling request to conclusion of interview process
• Assist prospective candidates with travel and hotel accommodations through Egencia
• Update candidate records and manage interview coordination requests in Greenhouse (ATS) and ModernLoop (scheduling tool)
• Navigate interviewers' complex and dynamic schedules
• Correspond with candidates via phone, text, and email
• Find opportunities for interview process and system improvement, including identifying bottlenecks and improving candidate experience and scheduling efficiency
• Greet candidates with poise and confidence, facilitate the onsite interview process, and ensure an excellent candidate experience
• Build strong relationships with key stakeholders (Recruiters, Sourcers, Hiring Managers, Interviewers, Recruiting Coordination team)
• Lead and participate in project work to support the Recruiting Coordination team

QUALIFICATIONS

• Experience as a Recruiting Coordinator or in Recruiting (at a fast-paced, growing company)
• Candidate-first mentality
• Able to work efficiently and prioritise tasks in a dynamic environment
• Relentless attention to detail and accuracy
• Great team player but can also work well independently with limited guidance
• Process-driven with strong habits and a passion for process improvement and efficiency
• Strong verbal and written communication skills with an emphasis on providing good customer service and building strong relationships
• Ability to remain composed and detail-oriented in a fast-paced and dynamic environment
• Positive attitude with a growth mindset
• Willing to work in-person at Anduril's Atlanta Office 4-5 days per week

BONUS POINTS

• Experience using ATS applications; Greenhouse experience strongly preferred
• Proven experience scheduling within Outlook
• Familiarity with Slack
• Experience using ModernLoop
• Experience working with asynchronous and geographically diverse teams

US Hourly Range $25-$35 USD

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This role requires a hands-on leader who can collaborate with senior and executive leadership across various functions to define and deliver on complex hiring needs. You will be given significant autonomy to develop and implement our talent acquisition strategy, building and developing the world-class teams necessary for Anduril to succeed.

We are looking for a visionary leader capable of navigating intricate talent landscapes, optimising recruiting processes, and mentoring a high-performing function, all while maintaining a hands-on approach to critical hires.

Key responsibilities include:

• Developing and executing comprehensive talent acquisition strategies for assigned SG&A functions, aligning with overall business objectives and growth plans.
• Driving continuous improvement of recruiting processes, tools, and methodologies, ensuring efficiency, scalability, and an outstanding candidate experience.
• Acting as a trusted advisor and strategic partner to C-level and senior leaders, consulting on organisational design, workforce planning, talent forecasting, and market insights.
• Personally managing and closing critical, complex, or leadership-level requisitions, providing expert full-cycle recruiting from intake through offer negotiation and close.

The ideal candidate will have 10+ years of progressive experience in Talent Acquisition, with at least 4+ years in a leadership or senior individual contributor role managing complex hiring initiatives or teams within a fast-paced environment.

They will have demonstrated success in building and scaling recruiting functions or leading significant talent acquisition projects in high-growth, innovative, or technically complex organisations.

Deep expertise in recruiting Hardware roles including positions that span across Mechanical, Electrical, Propulsion, Reliability and more is essential.

Proven ability to manage and influence senior stakeholders (Director, VP) on hiring strategies, talent calibration, and pipeline progress is also required.

Highly analytical and data-driven mindset, with experience leveraging ATS (Greenhouse preferred), CRM, and other recruiting tools to extract insights, optimise workflows, and report on key metrics is necessary.

Exceptional communication, negotiation, and interpersonal skills, with a consultative approach to advising both candidates and hiring teams is also required.

Advanced proficiency in sourcing strategies beyond traditional methods, including market mapping, and executive networking is desirable.

Highly autonomous, intellectually curious, and collaborative team player with a strong understanding of the defence tech industry is essential.

US Salary Range $150,000-$190,000 USD.

Additional benefits include comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and retirement savings plan.

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Our Recruiting Coordinator will work closely with our Recruiters, Sourcers, Hiring Managers, and Interviewers to support the growth of our fast-paced organisation. This role is an integral part of the team and is responsible for managing all interview scheduling and related logistics. Additionally, this person will play a role in identifying areas for improvement and efficiency gains.

Excellent candidate experience will be your goal, and you'll be our invaluable partner in helping guide candidates through Anduril's interview process. You possess excellent communication skills. You can shift gears at a moment's notice while being able to think proactively. And most importantly, you enjoy challenging yourself while helping to scale a world-class organisation.

Anduril has a positive, diverse, and supportive culture,we look for people who are curious, inventive, and work to be a little better every single day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative.

WHAT YOU’LL DO

• Manage all logistics related to interview scheduling from receipt of scheduling request to conclusion of interview process
• Assist prospective candidates with travel and hotel accommodations through Egencia
• Update candidate records and manage interview coordination requests in Greenhouse (ATS) and ModernLoop (scheduling tool)
• Navigate interviewers' complex and dynamic schedules
• Correspond with candidates via phone, text, and email
• Find opportunities for interview process and system improvement, including identifying bottlenecks and improving candidate experience and scheduling efficiency
• Greet candidates with poise and confidence, facilitate the onsite interview process, and ensure an excellent candidate experience
• Build strong relationships with key stakeholders (Recruiters, Sourcers, Hiring Managers, Interviewers, Recruiting Coordination team)
• Lead and participate in project work to support the Recruiting Coordination team

QUALIFICATIONS

• Experience as a Recruiting Coordinator or in Recruiting (at a fast-paced, growing company)
• Candidate-first mentality
• Able to work efficiently and prioritise tasks in a dynamic environment
• Relentless attention to detail and accuracy
• Great team player but can also work well independently with limited guidance
• Process-driven with strong habits and a passion for process improvement and efficiency
• Strong verbal and written communication skills with an emphasis on providing good customer service and building strong relationships
• Ability to remain composed and detail-oriented in a fast-paced and dynamic environment
• Positive attitude with a growth mindset
• Willing to work in-person at Anduril's Boston or Lexington, MA Office 4-5 days per week (may be required to work at either office, depending on interview locations that you are hosting)

BONUS POINTS

• Experience using ATS applications; Greenhouse experience strongly preferred
• Proven experience scheduling within Outlook
• Familiarity with Slack
• Experience using ModernLoop
• Experience working with asynchronous and geographically diverse teams

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Our Recruiting Coordinator will work closely with our Recruiters, Sourcers, Hiring Managers, and Interviewers to support the growth of our fast-paced organisation. This role is an integral part of the team and is responsible for managing all interview scheduling and related logistics.

You will assist prospective candidates with travel and hotel accommodations through Egencia, update candidate records and manage interview coordination requests in Greenhouse (ATS) and ModernLoop (scheduling tool), navigate interviewers' complex and dynamic schedules, correspond with candidates via phone, text, and email, find opportunities for interview process and system improvement, and greet candidates with poise and confidence, facilitate the onsite interview process, and ensure an excellent candidate experience.

You will build strong relationships with key stakeholders (Recruiters, Sourcers, Hiring Managers, Interviewers, Recruiting Coordination team) and lead and participate in project work to support the Recruiting Coordination team.

Key qualifications include experience as a Recruiting Coordinator or in Recruiting (at a fast-paced, growing company), a candidate-first mentality, ability to work efficiently and prioritise tasks in a dynamic environment, relentless attention to detail and accuracy, great team player but can also work well independently with limited guidance, process-driven with strong habits and a passion for process improvement and efficiency, strong verbal and written communication skills with an emphasis on providing good customer service and building strong relationships, ability to remain composed and detail-oriented in a fast-paced and dynamic environment, positive attitude with a growth mindset, and willingness to work in-person at Anduril's Washington DC or Reston, VA Office 4-5 days per week.

Experience using ATS applications, particularly Greenhouse, is a plus, as is proven experience scheduling within Outlook, familiarity with Slack, experience using ModernLoop, and experience working with asynchronous and geographically diverse teams.

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This role blends strategy and execution, requiring both hands-on recruiting expertise and organizational leadership. You will be responsible for:

• Building and executing comprehensive hiring strategies to scale high-performing teams in a fast-paced, hypergrowth environment
• Leading and developing a high-performing recruiting team
• Personally driving senior and executive-level searches
• Partnering closely with Operations, IT, Supply Chain, and Data Center leadership to forecast hiring needs, optimize recruiting performance, and deliver top-tier talent

To succeed in this role, you will need:

• 10+ years of Operations and IT recruiting experience, including 5+ years in a recruiting leadership role
• Proven track record of hiring senior professional, director, and executive-level Operations and IT leaders
• Experience scaling recruiting operations in a high-growth, high-volume environment (500+ hires per year)
• Experience leading recruiting organizations with 25+ direct and/or indirect reports
• Demonstrated success recruiting for Supply Chain, Data Center, Infrastructure, and IT functions
• Deep knowledge of Operations and IT organizational structures, technologies, and role requirements
• Expertise using sourcing platforms such as LinkedIn Recruiter, GitHub, and Gem
• Advanced proficiency with ATS platforms (e.g., Greenhouse)
• Experience leveraging recruiting analytics to improve time-to-fill, pipeline conversion, and quality of hire
• Experience forecasting hiring needs and workforce planning in partnership with business leaders
• Demonstrated ability to influence and advise executive-level stakeholders
• Strong negotiation and offer-closing performance in competitive talent markets
• Experience supporting international recruiting and global hiring initiatives

Preferred qualifications include experience recruiting within cloud, infrastructure technology, or data center environments, implementing sourcing automation and ATS enhancements, and partnering with international teams to scale global hiring operations.

At CoreWeave, we value candidates who bring diversified experiences to our teams. If you're curious about market intelligence, talent trends, and how data can continuously improve recruiting performance, and you're an expert in executive recruiting, operational talent strategy, and building high-performing recruiting teams, we'd love to talk.

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Our Recruiting Coordinator will work closely with our Recruiters, Sourcers, Hiring Managers, and Interviewers to support the growth of our fast-paced organisation. This role is an integral part of the team and is responsible for managing all interview scheduling and related logistics.

Excellent candidate experience will be your goal, and you'll be our invaluable partner in helping guide candidates through Anduril's interview process. You possess excellent communication skills. You can shift gears at a moment's notice while being able to think proactively. And most importantly, you enjoy challenging yourself while helping to scale a world-class organisation.

Anduril has a positive, diverse, and supportive culture,we look for people who are curious, inventive, and work to be a little better every single day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative.

WHAT YOU’LL DO

• Manage all logistics related to interview scheduling from receipt of scheduling request to conclusion of interview process
• Assist prospective candidates with travel and hotel accommodations through Egencia
• Update candidate records and manage interview coordination requests in Greenhouse (ATS) and ModernLoop (scheduling tool)
• Navigate interviewers' complex and dynamic schedules
• Correspond with candidates via phone, text, and email
• Find opportunities for interview process and system improvement, including identifying bottlenecks and improving candidate experience and scheduling efficiency
• Greet candidates with poise and confidence, facilitate the onsite interview process, and ensure an excellent candidate experience
• Build strong relationships with key stakeholders (Recruiters, Sourcers, Hiring Managers, Interviewers, Recruiting Coordination team)
• Lead and participate in project work to support the Recruiting Coordination team

QUALIFICATIONS

• Experience as a Recruiting Coordinator or in Recruiting (at a fast-paced, growing company)
• Candidate-first mentality
• Able to work efficiently and prioritise tasks in a dynamic environment
• Relentless attention to detail and accuracy
• Great team player but can also work well independently with limited guidance
• Process-driven with strong habits and a passion for process improvement and efficiency
• Strong verbal and written communication skills with an emphasis on providing good customer service and building strong relationships
• Ability to remain composed and detail-oriented in a fast-paced and dynamic environment
• Positive attitude with a growth mindset
• Willing to work in-person at Anduril's Boston or Lexington, MA Office 4-5 days per week (may be required to work at either office, depending on interview locations that you are hosting)

BONUS POINTS

• Experience using ATS applications; Greenhouse experience strongly preferred
• Proven experience scheduling within Outlook
• Familiarity with Slack
• Experience using ModernLoop
• Experience working with asynchronous and geographically diverse teams

XML job scraping automation by YubHub

Our Recruiting Coordinator will work closely with our Recruiters, Sourcers, Hiring Managers, and Interviewers to support the growth of our fast-paced organization. This role is an integral part of the team and is responsible for managing all interview scheduling and related logistics. Additionally, this person will play a role in identifying areas for improvement and efficiency gains.

Excellent candidate experience will be your goal, and you'll be our invaluable partner in helping guide candidates through Anduril's interview process. You possess excellent communication skills. You can shift gears at a moment's notice while being able to think proactively. And most importantly, you enjoy challenging yourself while helping to scale a world-class organization.

Anduril has a positive, diverse, and supportive culture,we look for people who are curious, inventive, and work to be a little better every single day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative.

WHAT YOU’LL DO

• Manage all logistics related to interview scheduling from receipt of scheduling request to conclusion of interview process
• Assist prospective candidates with travel and hotel accommodations through Egencia
• Update candidate records and manage interview coordination requests in Greenhouse (ATS) and ModernLoop (scheduling tool)
• Navigate interviewers' complex and dynamic schedules
• Correspond with candidates via phone, text, and email
• Find opportunities for interview process and system improvement, including identifying bottlenecks and improving candidate experience and scheduling efficiency
• Greet candidates with poise and confidence, facilitate the onsite interview process, and ensure an excellent candidate experience
• Build strong relationships with key stakeholders (Recruiters, Sourcers, Hiring Managers, Interviewers, Recruiting Coordination team)
• Lead and participate in project work to support the Recruiting Coordination team

QUALIFICATIONS

• Experience as a Recruiting Coordinator or in Recruiting (at a fast-paced, growing company)
• Candidate-first mentality
• Able to work efficiently and prioritize tasks in a dynamic environment
• Relentless attention to detail and accuracy
• Great team player but can also work well independently with limited guidance
• Process-driven with strong habits and a passion for process improvement and efficiency
• Strong verbal and written communication skills with an emphasis on providing good customer service and building strong relationships
• Ability to remain composed and detail-oriented in a fast-paced and dynamic environment
• Positive attitude with a growth mindset
• Willing to work in-person at Anduril's Costa Mesa Office 4-5 days per week

BONUS POINTS

• Experience using ATS applications; Greenhouse experience strongly preferred
• Proven experience scheduling within Outlook
• Familiarity with Slack
• Experience using ModernLoop
• Experience working with asynchronous and geographically diverse teams

US Hourly Range $25-$37.50 USD

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In this role, you'll be the front line of our recruiting efforts,building diverse talent pipelines, identifying high-quality candidates, and delivering an exceptional candidate experience from first touchpoint.

This is an exciting opportunity for someone who thrives in a fast-paced environment and enjoys making significant connections. You'll partner closely with recruiters, hiring managers, and cross-functional teams to help shape the future of our Field Operations teams.

Fixed Term Contract:

This is a fixed term contract for 6 months based in the United States.

Responsibilities:

Partner with recruiters and hiring managers to deeply understand role requirements and develop effective sourcing strategies.

Proactively identify and engage passive talent through various channels including LinkedIn, job boards, social media, and employee referrals.

Build and maintain strong talent pipelines for AMER and USPS Field Operations roles, ensuring a steady stream of qualified candidates.

Screen resumes and conduct initial outreach to assess interest, fit, and alignment with our values and business needs.

Manage candidate data and pipeline activity within our ATS and sourcing tools with accuracy and integrity.

Track and share sourcing metrics and performance data regularly to ensure continued success and improvement.

Contribute to diversity, equity, and inclusion efforts by actively sourcing from underrepresented talent pools.

Requirements:

2+ years of experience in sourcing or recruiting, preferably in a fast-paced tech or operations environment.

Experience supporting Field Operations or technical roles across the AMER region.

Familiarity with USPS or similar public sector/government roles is a strong plus.

Proven ability to identify and engage top talent through creative sourcing strategies.

Proficiency with sourcing tools (LinkedIn Recruiter, SeekOut, ATS systems like Greenhouse or similar).

Strong communication and interpersonal skills.

Highly organized and self-motivated with a passion for delivering a phenomenal candidate experience.

A collaborative mindset with the ability to adapt quickly to shifting priorities.

Benefits:

Competitive pay based on the work you do here and not your previous salary.

Health coverage for you and your family in many locations.

Ability to craft your calendar with flexible locations and schedules for many roles.

Generous number of vacation days each year.

Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.

Up to 40 hours each year to use toward volunteer projects you love.

Embracing parenthood with minimum of 16 weeks of parental leave.

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Your expertise will be crucial in building proactive security strategies that align with our business goals and protect the company from an ever-evolving threat landscape. This position demands deep expertise in security principles and a comprehensive understanding of the entire infrastructure stack and IAM systems to design robust, future-ready security solutions.

You will be instrumental in safeguarding our systems' resilience and integrity against ever-evolving cyber threats. You will play a critical role in shaping our security strategy for modern platforms across AWS, Azure, GCP, network infrastructure, storage, and SaaS solutions, help establish a strong least privilege (PoLP) model, providing specialized IAM expertise, and securely supporting SaaS with sensitive information (NHI).

You will also be a key contributor in building our internal strategy for secure AI development. Additionally, you will support the secure integration of SaaS platforms such as Google Workspace, collaboration tools, and GTM systems, maintaining alignment with enterprise security standards.

Close collaboration with cross-functional teams is essential to embed security throughout the technology stack.

The impact you will have:

• Design and implement secure, scalable reference architectures for the Databricks IT across Cloud Infra (Compute, DBs, Network, Storage), SaaS, Custom Built Applications, Data & AI systems.
• Establish and enforce security controls for: Core Security Areas: - Databricks Workspace Management: Workspace isolation, Unity Catalog for data governance.
• Secure Networking: VPC configs, PrivateLink, IP Allow Lists.
• Identity and Access Management (IAM): SSO, SCIM user provisioning, RBAC via Un, Strong MFA best practices for enterprise identities and customers.
• Data Encryption: At rest and in transit, customer-managed keys for critical assets.
• Data Exfiltration Prevention: Admin console settings, VPC endpoint controls.
• Cluster Security: User isolation, compliance with enhanced security monitoring/Compliance Security Profiles (HIPAA, PCI-DSS, FedRAMP).
• Offensive Security: Test and challenge the effectiveness of the organization’s security defenses by mimicking the tactics, techniques, and procedures used by actual attackers.
• Specialized Security Functions: - Non-human Identity Management: Design and implement secure authentication and authorization for automated systems (service accounts, API keys, machine identities), focusing on automation and integration with existing identity management systems.
• IAM Best Practices: Develop and document comprehensive Identity and Access Management policies, including user provisioning, de-provisioning, access reviews, privileged access management, and multi-factor authentication, ensuring security and compliance.
• Data Loss Prevention (DLP): Implement DLP solutions to identify, monitor, and protect sensitive data across endpoints, networks, and cloud environments, preventing unauthorized access, use, or transmission.
• SaaS Proxy Design and Implementation: Design and implement cloud-based proxies for SaaS applications (SASE solutions) to provide secure access, enforce security policies, monitor user activity, and protect against threats.
• Cloud Infrastructure Best Practices: Establish and document best practices for VPC configurations, cloud networking, and infrastructure as code using Terraform, ensuring secure network segmentation, routing, firewalls, and VPNs for consistent, automated, and secure deployments.
• Least Privilege Access for Data Security: Design and implement data security controls based on the principle of least privilege, ensuring users and systems have only the minimum necessary access through fine-grained controls, data classification, and regular access reviews.
• Guide internal IT on Databricks’ security and compliance certifications (SOC 2, ISO 27001/27017/27018, HIPAA, PCI-DSS, FedRAMP), and support security reviews/audits.
• Support incident response, vulnerability management, threat modeling, and red teaming using audit logs, cluster policies, and enhanced monitoring.
• Stay current on industry trends and emerging threats in GenAI, AI Agentic flow, MCPs to enhance security posture.
• Advise executive leadership on security architecture, risks, and mitigation.
• Mentor security engineers and developers on secure design and best practices.

What we look for:

• Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field
• Master’s degree in Computer Science specifically in Information Security or a related discipline is strongly preferred
• Minimum 12 years in cybersecurity, with 5+ in security architecture or senior technical roles.
• Experience in FedRAMP High systems/ GovCloud preferred.
• Must have direct experience designing and securing enterprise platforms in complex multi-cloud environments, deep knowledge of enterprise architecture and security features (control plane/data plane separation, network infra, workspace hardening, network segmentation/ isolation), and hands-on experience automating security controls with Terraform and scripting.
• Proven expertise securing data analytics pipelines, SaaS integrations, and workload isolation in enterprise ecosystems.
• Experience with Enterprise Security Analysis Tools and monitoring/security policy optimization.
• Deep experience in threat modeling, design, PoC, and implementing large-scale enterprise solutions.
• Extensive hands-on experience in AWS cloud security, network security, with knowledge of Zero Trust, Data Protection, and Appsec.
• Strong understanding of enterprise IAM systems (Okta, SailPoint, VDI, Entra ID) and Data Protection.
• Expert experience with SIEM platforms, XDR, and cloud-native threat detection tools.
• Expert in web application security, OWASP, API security, and secure design and testing.
• Hands-on experience with security automation is required, with proficiency in AI-assisted development, Python, Cursor, Lambda, Terraform, or comparable scripting/IaC tools for operational efficiency.
• Industry certifications like CISSP, CCSP, CEH, AWS Certified Security – Specialty, AWS Certified Solutions Architect – Professional, or AWS Certified Advanced Networking – Specialty (or equivalent) are preferred.
• Ability to influence stakeholders and drive alignment.
• Strategic thinker with a passion for security innovation, continuous improvement, and building scalable defenses.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Responsibilities: Partner closely with hiring managers in Operations to develop hiring strategies and ensure a strong pipeline of candidates. Proactively source passive candidates through various channels, including LinkedIn Recruiter and networking. Own the full candidate experience from sourcing to close, ensuring a seamless and engaging hiring process. Create comprehensive talent maps to share insights on the talent market. Represent Brex to candidates, helping to find and attract exceptional talent. Interview candidates using various methods, such as structured interviews, technical assessments, and behavioral questions.

Requirements: 1+ years of full-cycle high-volume recruiting experience. Strong ability to build relationships with Operations and Customer Experience hiring managers, understanding their needs and providing strategic hiring support. Strong organizational skills to coordinate recruiting efforts across multiple stakeholders. Knowledge of HR practices and employment practices. BS in Human Resources or a relevant degree. Must be willing to work in office 3 days per week on Monday, Wednesday, and Thursday.

Bonus points: Experience with Greenhouse ATS and Gem. Experience working in a high-growth startup.

Compensation: The expected salary range for this role is $85,600 - $107,000, depending on a number of factors, including the candidate's location, skills, experience, market demands, and internal pay parity.

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About the Team: Anduril employs a variety of networks and networking infrastructures to support global operations. Information Systems Security Managers are in charge of directly supporting business lines that wish to deploy Anduril products in classified environments.

About the Job: As an Information Systems Security Manager, you will be responsible for providing expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments. You will partner with program and security teams to coordinate security artifacts in support of classified deployments. You will apply technology standards from the commercial space in classified, air-gapped environments.

Responsibilities:

• Provide expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments.
• Partner with program and security teams to coordinate security artifacts in support of classified deployments.
• Apply technology standards from the commercial space in classified, air-gapped environments.
• Collaborate with Information System Owners to understand key stakeholders' needs and provide complex technical solutions to meet contractual obligations.
• Tailor NIST 800-53 controls to determine applicability to the network environment and oversee the implementation of Continuous Monitoring for respective programs.
• Define, document, and conduct security scanning on Anduril's products and accredited information systems.
• Scope, shape, and orchestrate the development of features to ensure products meet compliance goals.

Required Qualifications:

• Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards.
• Integrate security best practices into Anduril's Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams.
• Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats.
• Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies.
• Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems.
• Maintain and update System Security Plans (SSPs), POA&Ms, and other accreditation documentation.

Preferred Qualifications:

• Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA).
• Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards.
• Experience with cybersecurity in unmanned and ground control system within DoD environments.
• Experience with containerization and kubernetes along with the best practices for securing them.
• Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices.

Salary: The salary range for this role is $146,000-$194,000 USD.

Benefits: Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans at little to no cost to you. Anduril also offers income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

Protecting Yourself from Recruitment Scams: Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not respond or engage with the sender.

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As a Recruiter on the Operations Recruiting team, you will help attract, evaluate, and hire the best for our Operations teams. We are moving quickly, so you will own projects and programs extending beyond the typical recruiting activities, ensuring process excellence and top-notch experience for all candidates.

This is a 12-month contract with an opportunity for full-time conversion. You will be based in our New York office, which is a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

Responsibilities: Partner closely with hiring managers in Operations to hiring strategies and ensure a strong pipeline of candidates Proactively source passive candidates through various channels, including LinkedIn Recruiter and networking Own the full candidate experience from sourcing to close, ensuring a seamless and engaging hiring process Create comprehensive talent maps to share insights on the talent market Represent Brex to candidates, helping to find and attract exceptional talent Interview candidates combining various methods (e.g. structured interviews, technical assessments, and behavioral questions)

Requirements: 1+ years of full-cycle high volume recruiting experience Strong ability to build relationships with Operations and Customer Experience hiring managers, understanding their needs and providing strategic hiring support Strong organizational skills to coordinate recruiting efforts across multiple stakeholders Knowledge of HR practices and employment practices BS in Human Resources or a relevant degree Must be willing to work in office 3 days per week on Monday, Wednesday and Thursday

Bonus points: Experience with Greenhouse ATS and Gem Experience working in a high-growth startup

Compensation: The expected salary range for this role is $96,728 - 120,910. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

As a Recruiter on the Operations Recruiting team, you will help attract, evaluate, and hire the best for our Operations teams. We are moving quickly so you will own projects and programs extending beyond the typical recruiting activities, ensuring process excellence and top-notch experience for all candidates.

This is a 12-month contract with an opportunity for full-time conversion. The role will be based in our San Francisco office, which is a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

Responsibilities: Partner closely with hiring managers in Operations to hiring strategies and ensure a strong pipeline of candidates Proactively source passive candidates through various channels, including LinkedIn Recruiter and networking Own the full candidate experience from sourcing to close, ensuring a seamless and engaging hiring process Create comprehensive talent maps to share insights on the talent market Represent Brex to candidates, helping to find and attract exceptional talent Interview candidates combining various methods (e.g. structured interviews, technical assessments, and behavioral questions)

Requirements: 1+ years of full-cycle high volume recruiting experience Strong ability to build relationships with Operations and Customer Experience hiring managers, understanding their needs and providing strategic hiring support Strong organizational skills to coordinate recruiting efforts across multiple stakeholders Knowledge of HR practices and employment practices BS in Human Resources or a relevant degree Must be willing to work in office 3 days per week on Monday, Wednesday and Thursday

Bonus points: Experience with Greenhouse ATS and Gem Experience working in a high-growth startup

Compensation: The expected salary range for this role is $96,728 - 120,910. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

You'll participate in architectural discussions and technical decisions related to Git and Gitaly, helping drive implementation choices that improve correctness, performance, and maintainability. You'll contribute features, bug fixes, and performance improvements to upstream Git in line with team and community goals, delivering changes that improve repository access and reliability for users.

Adapt Gitaly to make effective use of Git capabilities, including integrating newly available features to improve scalability, efficiency, and long-term maintainability. Connect discussions in the open source Git project with GitLab's product direction and engineering work, helping align upstream contributions with product and platform needs.

Scope tasks, estimate effort, and describe implementation plans that support the team's priorities and enable predictable delivery of technical work. Test and validate the features you build and integrate, with a focus on correctness and reliability to reduce regressions and support stable production use.

Collaborate with team members, contributors, and the Git ecosystem. Represent GitLab as a constructive participant in the open source ecosystem, building productive relationships that support ongoing collaboration with the Git community.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

As a Business Recruiter on the Operations Recruiting team, you will play a pivotal role in scaling the critical business functions at Brex, including Customer Support and Operations. You will work closely with hiring managers to create the strategy and roadmap to attract the best talent to Brex.

Responsibilities:

• Partner closely with hiring managers in Operations to hiring strategies and ensure a strong pipeline of candidates
• Proactively source passive candidates through various channels, including LinkedIn Recruiter and networking
• Own the full candidate experience from sourcing to close, ensuring a seamless and engaging hiring process
• Create comprehensive talent maps to share insights on the talent market
• Represent Brex to candidates, helping to find and attract exceptional talent

Requirements:

• 1+ years of full-cycle high volume recruiting experience
• Strong ability to build relationships with Operations and Customer Experience hiring managers, understanding their needs and providing strategic hiring support
• Strong organizational skills to coordinate recruiting efforts across multiple stakeholders
• Knowledge of HR practices and employment practices
• BS in Human Resources or a relevant degree

Bonus points:

• Experience with Greenhouse ATS and Gem

Compensation: The expected salary range for this role is $85,600 - 107,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

XML job scraping automation by YubHub

You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.

You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.

You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.

You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.

You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.

You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.

You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.

You will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

XML job scraping automation by YubHub

You'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
• Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
• Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration

Required skills include:

• 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
• Expertise in the Telecommunications domain, especially with Mobile networks and devices.
• Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
• Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
• Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
• Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
• Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
• Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
• Hands-on expertise in distributed systems and large-scale infrastructure.
• Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
• Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
• Strong communication and presentation skills, with experience engaging directly with customers.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
• Comfortable working in highly distributed teams, both remote and on-site when needed.
• May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

XML job scraping automation by YubHub

In this key role, you'll be responsible for making it effortless for every guest to discover the most relevant Homes, Services, Experiences, and offerings yet to come, as soon as they open the Airbnb app.

You'll partner closely with design, engineering, and data teams to invent new browsing tools with the latest AI technologies and intuitive UI formats that delight our users.

A typical day in this role includes:

• Leading the product vision, strategy, and roadmap for the discovery needs of all key business verticals (e.g. Homes, Services, Experiences, International) and new bets (e.g. Hotels, Luxe, Partnerships)

• Developing new discovery features and content formats that drive core guest and bookings growth

• Incorporating the latest AI technologies and relevance models to uplevel Airbnb’s browsing experience

• Collaborating with marketing teams to extend Airbnb’s discovery strategy to our lifecycle and growth marketing campaigns

• Crafting the product narrative and marketing strategies that communicate the benefits and features of these products both internally and externally

• Developing product roadmaps and building alignment across product teams (Tech, Design), cross-functional partners (FP&A, Marketing, Global Operations, Customer Experience, Trust, etc.) and Leadership/Executive team

• Inspiring teams, leadership, and the company to support the success of your products and business outcomes

• Building deep expertise on the subject matter both through user research, marketplace data, and an understanding of the competitive landscape

• Defining goals and success with clearly measurable objectives and key results

• Efficiently executing to ship products and deliver impact for our business and users

Your expertise should include:

• 8+ years of product management experience

• Experience creating product messaging and delivering to customers and the media

• Demonstrated track record of building cross-functional and executive leadership alignment

• Experience working on consumer products with marketplace dynamics on a global scale

• Entrepreneurial track record of taking an idea to reality

• Strong ability to effectively use data and perform business analysis to support product strategy/decisions

• Excited to drive execution across teams in a fast-paced environment

• Desire to do individual contributor product management work

Due to the nature of this position, the successful applicant will need to be based in San Francisco, CA, Los Angeles CA, or New York, NY to be able to conduct their work.

XML job scraping automation by YubHub

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

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

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time
• We are unable to provide visa sponsorship
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

XML job scraping automation by YubHub

You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

XML job scraping automation by YubHub

The best generative models aren’t just a product of model architecture and compute, they are a product of the training data. The model output reflects someone’s obsession over what goes into the data, how it’s processed, and what gets thrown away. We’re looking for the person who does the obsessing and builds the tools to act on it at scale.

This isn’t a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and close the loop with model training to make sure it actually works.

Responsibilities:

• Discover, evaluate, and acquire training data
• Build data processing and curation systems
• Look at the actual data constantly
• Close the data → model → evaluation loop
• Deploy ML models for data enrichment
• Make systematic, documented decisions

Requirements:

• Strong software engineering fundamentals
• Deep experience with image and video data at scale
• Experience with distributed computing
• Experience using ML models as components
• A research-oriented approach to data decisions
• Familiarity with the model training lifecycle

Nice to Have:

• Familiarity with columnar and large-scale data storage formats and libraries
• Track record of independently discovering and integrating new data sources into a training pipeline
• Direct experience closing the data → model quality loop
• Strong visual intuition for data quality and diversity

What This Isn’t:

• Not infrastructure
• Not pure research
• Not a role where you wait for instructions

XML job scraping automation by YubHub

You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.

Responsibilities:

• Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.

• Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.

• Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.

• Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.

• Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.

• Lead development efforts on key features or subsystems, from early design through deployment and iteration.

• Write high-quality, well-tested code and participate in peer design/code reviews.

Requirements:

• Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.

• Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.

• Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.

• Demonstrated experience building real-time or performance-sensitive applications,preferably for UAVs, robotics, autonomous vehicles, or simulation environments.

• Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.

• Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.

• Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.

• Proven ability to deliver high-quality software as part of a collaborative engineering team.

Preferences:

• Experience with GCS software, mission planning tools, or real-time visualization platforms.

• Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.

• Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.

• Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.

• Exposure to distributed systems and cloud integration for telemetry data pipelines.

• Understanding of security best practices in control systems and networked applications.

XML job scraping automation by YubHub

You'll partner closely with founders and leadership to hire across technical (engineering, data science, product) and G&A (commercial, support, operations, finance) roles. You will:

• Own recruiting end-to-end, from role intake and sourcing strategy through offer close and onboarding , driving hiring for both technical and non-technical roles, flexing as business priorities evolve
• Partner closely with founders and hiring managers to define hiring plans, headcount priorities, and timelines
• Drive initiatives that improve Spade’s recruiting processes, tooling, and best practices
• Develop scalable sourcing strategies to attract top-tier talent in a competitive market
• Ensure a high-quality, inclusive, and thoughtful candidate experience that reflects Spade’s values
• Manage ATS (currently Greenhouse), including job setup, workflows, interview plans, reporting, and candidate experience
• Track and report on hiring metrics, funnel health, and hiring velocity to inform decision-making
• Lay the foundation for a future recruiting team, with the opportunity to hire and manage recruiters as the company grows

You must have 6+ years of recruiting experience, including time in-house at a high-growth startup. Experience building or significantly evolving a recruiting function (processes, tools, playbooks) is also required. Proven ability to recruit across both technical (engineering, data, product) and business (commercial, G&A) roles is necessary. Comfort with and excitement about owning full-cycle recruiting independently, from sourcing to closing candidates is also required.

Why join Spade? Be a cultural founder. Get in on the ground floor. Build the next generation of financial infrastructure.

XML job scraping automation by YubHub

Key Responsibilities: Perform surface finishing operations on composite parts, including wet layup, filling, sanding, spraying gelcoat and refining the surface. Mix and apply surface fillers, and gelcoat per process requirements Sand and smooth complex contours while maintaining tolerance and surface quality Identify and repair surface defects such as pinholes, delamination, or surface voids using tap tests Prepare parts for painting, bonding, or assembly through proper surface treatment Follow detailed work instructions, drawings, and engineering specifications Maintain cleanliness and organization in finishing areas; manage dust control systems Collaborate with the quality team to ensure finished parts meet visual and dimensional standards Follow procedures and track time on a tablet.

Requirements: 2+ years of experience in marine composite finishing, surfacing, or similar hands-on fabrication work Strong experience with sanding tools, fairing materials, and manual finishing techniques Ability to achieve Class A or near-Class A surface finishes (preferred but not required) High attention to detail and patience for repetitive, fine-surface work Familiarity with epoxy-based fillers, primers, and surface prep chemicals Ability to read and interpret technical drawings and work instructions U.S. Person (citizen or permanent resident) required due to DoD-related work

Preferred Qualifications: Experience in marine composite surfacing Familiarity with MIL-SPEC or AS9100 quality standards Experience using DA sanders, longboards, and vacuum-assisted finishing tools Understand how to use Binks & MVP spray equipment Background in paint prep or bonded surface prep is a plus Experience working with gel coats, topcoats, or marine-grade finishes

Benefits: Medical Insurance: Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 99% of the premium for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

XML job scraping automation by YubHub

This role is designed for candidates with foundational maritime exposure who are eager to build a career in vessel operations, logistics coordination, and marine support services.

The ideal candidate brings a practical understanding of marine environments, strong organizational skills, and a willingness to support a wide range of operational needs in a fast-paced setting.

Responsibilities

• Support daily maritime operations, including vessel movements, scheduling, and logistics coordination
• Assist with tracking vessel status, maintenance activities, and operational readiness
• Coordinate with internal teams (operations, maintenance, safety, and logistics) to ensure efficient execution of tasks
• Maintain accurate records, reports, and operational documentation
• Assist with planning and execution of vessel mobilizations, demobilizations, and sea trials
• Support procurement and inventory tracking for vessel and operational needs
• Communicate effectively with crew members, vendors, and stakeholders
• Ensure compliance with company policies, safety standards, and regulatory requirements
• Provide general administrative and operational support as needed
• Frequent travel with little notice due to operational requirements

Qualifications

• Prior exposure to maritime operations (work experience, internship, or family background in the industry)
• Strong interest in maritime logistics, vessel operations, or marine services
• Proficiency in Microsoft Office Suite (Excel, Word, Outlook, PowerPoint)
• Ability to quickly learn new systems, tools, and operational processes
• Strong organizational skills and attention to detail
• Ability to work in a fast-paced, dynamic environment
• Willingness to take initiative and support multiple teams as needed

Preferred Experience

• Hands-on experience with vessel operations or marine services
• Internship or work experience in logistics, operations, or maritime support roles
• Familiarity with shipyards, crew boats, or government-related maritime projects

Key Attributes

• Operational mindset with a strong work ethic
• Comfortable working both in office settings and in field environments (e.g., shipyards, docks, vessels)
• Adaptable and willing to go where needed to support the mission
• Strong communication and teamwork skills
• Pride in quality of work and attention to detail

Benefits

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Additional Information

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

XML job scraping automation by YubHub

In this role, you will drive the acquisition of premium content, negotiate complex multi-pronged agreements, and build long-term relationships with publishers, universities, research institutions, and data providers. You will work closely with cross-functional teams to ensure access to quality and relevant data and content sources that are aligned with Mistral AI’s interests, and enable innovative use of data and content.

This role is ideal for a results-driven negotiator and strategic thinker with a passion for AI, academic content, and ethical data practices, and a proven track record of closing high-stakes deals in the publishing, technology, or research sectors.

Key Responsibilities

Strategic Sourcing & Pipeline Development • Build and manage a robust pipeline of high-quality content (e.g., STEM, academic, robotics, multimedia). • Qualify and vet data & content providers to ensure compliance with legal (copyright, data provenance) and business (relevance, cost, scalability) requirements. • Provide regular reports and analytics on procurement activities, investments, and performance to support data-driven decision-making.

Licensing & Partnership Management • Serve as a key point of contact for external partners (e.g., publishers, universities, and research institutions) to understand their goals and interests, addressing their needs and priorities. • Develop multi-pronged relationships (e.g., revenue-sharing, co-development) to create long-term collaboration. • Develop new programs that promote fair compensation and sustainability for content creators, owners and curators.

Cross-Functional Collaboration • Collaborate with internal stakeholders (e.g., Science, Product, and Go To Market teams) to understand their needs and ensure procurement activities support their objectives. • Evaluate “make vs. buy” options for content sourcing in collaboration with the Human Data team, balancing data development with external access/licensing opportunities

Required Qualifications and Skills • Proven track record of negotiating and closing complex deals ($10M+), including revenue-sharing, licensing, or co-development agreements. • Deep understanding of AI training data ecosystems and ability to translate this into business terms. • Legal acumen: Understanding of legal concepts involved in data acquisition and content licensing. • Strong STEM background (e.g., degree in Science, Technology, Engineering, Mathematics, or related field) and a passion for academic content and research. • Excellent communication and stakeholder management skills (experience negotiating with C-level stakeholders), with the ability to build trust and influence partners at all levels. • Business acumen with experience in market analysis and financial modeling (e.g., DCF analysis) • Fluency in English and French; additional languages (e.g., German) are a plus. • Knowledge of global copyright laws. • Experience working in a fast-paced, global environment, with distributed teams.

Nice-to-Have Skills • Existing network in the publishing, academic, or research communities (e.g., relationships with major publishers, universities, or data providers). • Experience with AI training data, including familiarity with pretraining, RAG, or synthetic data generation. • Direct experience working for a tech company sourcing data/content for LLMs • Technical literacy in data formats (e.g., JSON, XML), APIs, or content management systems.

Benefits • Competitive cash salary and equity • Daily lunch vouchers • Monthly contribution to a Gympass subscription • Monthly contribution to a mobility pass • Full health insurance for you and your family • Generous parental leave policy • Visa sponsorship

XML job scraping automation by YubHub

As a Senior Software Engineer, you will partner with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions. You will integrate open-source, enterprise, and SaaS technologies into our evolving stack, design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling.

Key responsibilities include:

• Leading projects end-to-end and contributing to impactful platform initiatives
• Partnering with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions
• Integrating open-source, enterprise, and SaaS technologies into our evolving stack
• Designing and shipping components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling
• Contributing to the growth of our Data Lakehouse platforms, enabling well-governed data products for analytical and operational use cases
• Continuously improving the Research Platform to meet our Science's evolving needs for experimentation, ML Ops, data processing, and analysis
• Helping shape how we approach data modeling, context engineering, and emerging semantic layers to make data easier to discover and use
• Advocating for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability
• Exploring and piloting AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization
• Collaborating through system design, code reviews, and pairing, promoting a strong team culture of accountability, learning, and psychological safety
• Supporting platform users to troubleshoot issues and unblock critical work

Requirements include:

• 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar
• Proficiency with Python and experience with one or more other high-level programming languages
• Strong knowledge of Linux fundamentals, including networking and containerization
• Hands-on experience operating cloud services, storage, and compute using IaC with at least one major cloud provider, preferably Azure or GCP
• Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes
• A pragmatic approach to reliability, observability, performance tuning, and operational excellence
• Excellent communication and documentation skills
• Comfort with cross-functional collaboration and navigating tradeoffs
• BS or higher in computer science or a related technical field, or comparable experience

Nice to have includes columnar data processing, open lakehouse technologies, and table formats, supporting researchers, data scientists, AI/ML teams, flyte or other modern workflow orchestrators, everything as code approach to infrastructure, policies, data, operating production systems in Microsoft Azure, open-source contribution and maintenance.

XML job scraping automation by YubHub

This person will work cross-functionally with Research & Development, Automation, Computation Science, Quality, Regulatory, Laboratory Operations, and Program Management on the development, characterization, scale-up and transfer of complex methodologies, processes and assays to Operations.

You will apply hands-on knowledge of molecular biology, nucleic-acid biochemistry and next generation sequencing to develop and optimize NGS based methods and processes.

Key responsibilities include:

• Execute experiments to characterize and optimize NGS workflows, converting prototypes into high-throughput automated assays.
• Participate in data analysis and visualizations to answer experimental questions and identify areas for workflow optimization.
• Present findings at team meetings and prepare technical reports for internal and external stakeholders.
• Collaborate with cross-functional teams to integrate process improvements into the overall diagnostic workflow.
• Assist with generating Standard Operating Procedures and Work Instructions with Laboratory Operations and Clinical Laboratory for transfer.
• Support troubleshooting workflow issues, perform root-cause determinant experiments and propose effective data-driven solutions.
• Maintain detailed records of experiments, data, results and methodologies in compliance with Good Laboratory and Documentation Practices (cGLP, cGDP).

Requirements include:

• Bachelor’s or Master’s in Molecular Biology, Genetics, Biochemistry, or a related field with 2+ years of relevant industry experience.
• Hands-on experience in NGS based techniques, including nucleic acid extraction, library preparation, and sequencing.
• Experience with handling plasma and cfDNA in NGS workflows with low-volume, plate-based assay formats.
• Effectively communicates with team and cross-functional partners.
• High attention to detail - record and document accurate, objective observations, assess impact, and perform troubleshooting as needed.
• Excellent problem-solving skills, proactively looks for potential roadblocks, characterizes root causes to problems and collaborates with appropriate stakeholders.
• Ability to work independently as well as part of a cross-functional team.
• Flexible and adaptable to change and embrace a fluid work environment.

Nice to have:

• Familiarity in a common scientific programming language (e.g., Python, R)

XML job scraping automation by YubHub

You'll lead sourcing efforts, manage candidate pipelines, and ensure a consistent, thoughtful journey from first touch to offer. You'll also partner closely with hiring teams to implement efficient, scalable, and values-aligned recruiting practices, supporting growth across both corporate functions and property operations.

Key responsibilities include:

Working closely with hiring managers and cross-functional leaders to define role requirements and hiring needs across both corporate and onsite teams. Leveraging multiple sourcing strategies and channels, including LinkedIn, Job boards, and internal referrals to provide high-quality candidates for open positions. Identifying, prescreening, and evaluating both passive and active candidates to ensure high-quality talent. Leading intake meetings with hiring managers to further understand role qualifications and refine recruitment efforts. Promoting interviewing best practices that enhance decision-making and ensure a consistent, high-quality candidate experience. Partnering with hiring managers and cross-functional teams to coordinate interviews and facilitate an efficient, well-organized process. Maintaining accurate and up-to-date records of candidate information in Lever (ATS).

Ideal background includes:

Bachelor's degree and proven experience in talent acquisition or recruitment-related roles. Over two years of experience leading full-cycle recruiting, ideally in both corporate and operational environments. Strong knowledge of talent sourcing techniques, with hands-on experience using platforms like LinkedIn, job boards, and employee referral programs. Experience partnering directly with hiring managers and cross-functional teams to define hiring needs, lead intake meetings, and shape recruitment strategies. Skilled at assessing candidate profiles through resume reviews and initial screens to identify the best fit for both role and culture. Excellent interpersonal and communication skills, with the ability to build trust with stakeholders at all levels. Highly organized, proactive, and comfortable operating in a fast-paced, startup, or growth-stage environment. Experience using ATS platforms, preferably Lever, to manage pipelines and ensure accurate candidate tracking and communication. Demonstrated proficiency in writing and word processing tools (e.g., Microsoft Word, Google Docs). English and Arabic language fluency required (verbal and written).

Why join Flow? Exciting growth opportunity: Be part of a fast-growing company shaping the future of residential living in the Middle East. Competitive compensation & benefits. A chance to make an impact: Help build a vibrant international community and redefine what it means to call Flow home.

XML job scraping automation by YubHub

Responsibilities

• Drive leasing efforts: Engage, qualify, and convert leads into signed leases, ensuring high occupancy rates.
• Work tirelessly: Be available evenings, weekends, and holidays to accommodate prospective residents' schedules.
• Be tech-savvy: Utilize CRMs, Excel, WhatsApp, Slack, VOIP systems, and email efficiently to manage leads and track leasing performance.
• Master the details: Capture and manage data under pressure, ensuring accurate and organized record-keeping.
• Deliver an outstanding experience: Provide best-in-class customer service to prospects and current residents from diverse cultural backgrounds.
• Be a brand ambassador: Represent Flow’s values by engaging with the community, attending events, and fostering a sense of belonging.
• Understand the legal side: Experience with EJAR is a plus, as you’ll be involved in the leasing process compliance.

Ideal Background

• Minimum 3 years of experience in sales or customer service.
• Experience leasing property is an advantage.
• Experience in Saudi Arabia is an advantage.
• Candidate must be physically located in Saudi Arabia.
• Hardworking & relentless: You thrive under pressure and are willing to put in the hours to get the job done.
• Tech-proficient: You have experience working with multiple systems, capturing data in CRMs, and using tools like WhatsApp, Slack, and VOIP systems to manage communications effectively.
• Sales-oriented: Background in software sales or a related high-touch sales role is a plus.
• Detail-driven: You can juggle multiple priorities without dropping the ball.
• Fluent in English: Exceptional spoken and written communication skills are a must.
• Charismatic & engaging: You have strong presentation skills and can connect with clients from all cultures and backgrounds.
• Active lifestyle enthusiast: Passion for sports, wellness, yoga, fitness, or similar interests is a strong cultural fit with Flow’s brand.
• Ability to drive: A valid driver's license is required.
• Ability to work across multiple sites: Flexibility to travel between different Flow locations as needed.

Additional Information Why Join Flow? Exciting growth opportunity: Be part of a fast-growing company shaping the future of residential living in the Middle East. Competitive compensation & benefits. A chance to make an impact: Help build a vibrant international community and redefine what it means to call Flow home.

XML job scraping automation by YubHub

Key Responsibilities:

• Lead BigHat's antibody discovery and display functions, setting the scientific, technical, and strategic direction
• Oversee the routine execution of display-based selection campaigns to enhance and diversify affinity, developability, and function across diverse antibody formats and antigen types in support of BigHat and BigHat-partnered therapeutic programs
• Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization
• Shape and expand BigHat's antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company's integrated experimental and computational platform
• Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics
• Work closely with leaders in Protein Sciences, Data Science/Machine Learning, Engineering, and Platform groups to ensure seamless progression from discovery through characterization and optimization
• Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives
• Foster a collaborative and high-performance culture within the discovery organization

Benefits: The salary estimated for this position is $230,000 - $270,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

We offer a range of health insurance plan options through Anthem and Kaiser, dental and vision coverage through Guardian, additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more, 401(k) with company match, DTO, two weeks of company-wide shutdown, and 12 company holidays, paid parental leave.

XML job scraping automation by YubHub

Key responsibilities include:

• Developing expertise in both engineering and non-engineering roles to support the hiring needs of Canada/US managers.
• Acting as a trusted advisor to hiring managers, driving intake meetings, defining recruitment strategies, and facilitating interview processes.
• Ensuring standardization and consistency of recruitment processes using Avature ATS and other applicant tracking systems.
• Providing a positive candidate and hiring manager experience with timely, transparent communication and support throughout the hiring journey.
• Utilizing talent acquisition systems and tools to manage and track candidate pipelines, schedule interviews, and maintain data accuracy in real time.
• Leveraging data analytics and metrics to drive decisions, continuously improving recruitment outcomes and processes.
• Driving a competitive offer process to secure top talent in both technical and non-technical domains.

As a Talent Acquisition Partner, you will have the opportunity to make a measurable impact in a collaborative, innovative environment. You will be part of a high-impact People team dedicated to supporting Synopsys' growth across Canada and the US.

If you are excited to make a difference in a dynamic and fast-paced environment, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

You'll champion Xet storage on the Hugging Face Hub, empowering users to efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy—helping define the future of open data workflows.

Your main missions will be:

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organise events or challenges.
• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration—curate and showcase datasets, benchmarks, and tools like Xet.
• Highlight use cases like efficient large dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows.
• Create demos, benchmarks, and tools (e.g., Colab notebooks) to illustrate best practices for data storage and versioning.
• Experiment with Xet, Parquet, and other data formats to showcase their potential for ML and data engineering.
• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.
• Share insights on storage optimisation, dataset versioning, and deduplication to empower developers.
• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.
• Ensure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About you

You're a great fit if you:

• Have strong technical skills in Python, data libraries (e.g., pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3).
• Are a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning.
• Can clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.
• Are active in developer communities (GitHub, Discord, forums) and passionate about open source and knowledge sharing.
• Thrive in fast-moving environments and enjoy building in public to inspire others.

If you're interested in joining us but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from.

Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work with some of the smartest people in our industry.

We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options.

We offer health, dental, and vision benefits for employees and their dependents.

We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed, and all remote employees have the opportunity to visit our offices.

If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package.

If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

XML job scraping automation by YubHub

As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, empowering users to efficiently store, version, and collaborate on large-scale datasets.

This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy—helping define the future of open data workflows. You'll collaborate with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on our platform, and inspire a community to build better, faster, and more scalable data pipelines.

Your Main Missions:

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organise events or challenges. Engage with communities like Apache Parquet, Open Tables Formats, and data engineering forums to promote best practices and Hugging Face tools.

• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration—curate and showcase datasets, benchmarks, and tools like Xet.

• Highlight use cases like efficient large dataset updates, Parquet editing, and deduplication to demonstrate the Hub’s value for data workflows.

• Create demos, benchmarks, and tools (e.g., Colab notebooks) to illustrate best practices for data storage and versioning.

• Experiment with Xet, Parquet, and other data formats to showcase their potential for ML and data engineering.

• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.

• Share insights on storage optimisation, dataset versioning, and deduplication to empower developers.

• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.

• Ensure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About you

You’re a great fit if you:

• Have strong technical skills in Python, data libraries (e.g., pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3).

• Are a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning.

• Can clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.

• Are active in developer communities (GitHub, Discord, forums) and passionate about open source and knowledge sharing.

• Thrive in fast-moving environments and enjoy building in public to inspire others.

If you're interested in joining us but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Responsibilities

• Develop tailored sourcing strategies to engage talent from relevant industries and competitors
• Screen and assess candidates for both technical excellence and cultural fit
• Run high-quality processes: drive pipeline activity, facilitate debriefs and ensure seamless candidate experiences
• Negotiate offers and close talent in competitive markets
• Develop and maintain strong relationships with hiring managers and department heads to understand their hiring needs and timelines

Requirements

• 2+ years of full-cycle recruiting experience with a heavy focus on skilled trade positions, including meter engineers, solar and EV electricians and more
• Proven track record in delivering across high volume, high pace environments
• Ability to develop and maintain strong relationships with hiring managers and candidates
• Excellent relationship-building and influencing skills across all levels of an organisation
• Strong written and verbal communication skills
• Experience with ATS tools, reporting and data-driven recruiting practices

Benefits

• Competitive salary
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees
• Opportunity to work closely with senior business leaders and exposure to building a global energy business

XML job scraping automation by YubHub

As a React Developer at Capgemini, you will be responsible for designing, developing, and maintaining responsive and scalable web applications using React. You will collaborate with UI/UX designers, backend engineers, and business stakeholders to deliver high-quality solutions.

Key Responsibilities

• Develop, enhance, and maintain web applications using React and related front-end technologies.
• Build reusable, modular, and scalable UI components.
• Ensure responsive and intuitive user interfaces across all devices and browsers.
• Collaborate with backend teams to integrate RESTful APIs and services.
• Optimize application performance, load times, and user experience.
• Conduct and participate in code reviews, ensuring adherence to coding standards.
• Work closely with cross-functional Agile teams to contribute to sprint planning, estimation, and delivery.
• Ensure solutions comply with security, performance, and quality standards.

Requirements

Required Skills & Experience

• Experience: 4 years to 16 years
• Strong proficiency in React, JavaScript (ES6+), and modern front-end development practices.
• Hands-on experience with Redux, Context API, or other state management libraries.
• Solid understanding of HTML5, CSS3, Flexbox, and responsive design principles.
• Experience working with RESTful APIs and JSON data formats.
• Familiarity with Agile methodologies and SDLC processes.
• Excellent debugging, problem-solving, and analytical skills.
• Ability to work collaboratively in a fast-paced and dynamic environment.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

We're looking for a Senior Technical Recruiter to join our team at Fuse Energy. As a Senior Technical Recruiter, you will be responsible for developing tailored sourcing strategies to engage top-tier talent from hedge funds, trading firms, and elite technical organisations.

Responsibilities

• Develop and implement effective sourcing strategies to attract top talent in the industry
• Screen and assess candidates for both technical excellence and cultural fit
• Run high-quality processes, including pipeline activity, debriefs, and seamless candidate experiences
• Negotiate offers and close world-class talent in competitive markets
• Develop and maintain strong relationships with hiring managers and department heads to understand their hiring needs and timelines

Requirements

• 5+ years of full-cycle recruiting experience, with a heavy focus on backend roles in high-performance engineering environments
• Agency background working with trading firms, hedge funds, or HFTs
• Proven ability to identify and close candidates with niche, in-demand skill sets
• Ability to develop and maintain strong relationships with hiring managers and candidates
• Excellent relationship-building and influencing skills across all levels of an organization
• Strong written and verbal communication skills
• Experience with ATS tools, reporting, and data-driven recruiting practices

Benefits

• Competitive salary
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office-based employees
• Opportunity to work closely with senior business leaders and exposure to building a global energy business

XML job scraping automation by YubHub

As an Implementation Manager based in Boston, MA, you will play a pivotal role in guiding customers through the onboarding and deployment of Workable's Recruiting and HR solutions. You will own a portfolio of clients, ensuring their successful adoption and ongoing satisfaction by acting as the primary point of contact throughout the customer lifecycle.

Key Responsibilities

• Serve as the main point of contact for customers from onboarding through ongoing support, building strong relationships and acting as a trusted advisor.
• Collaborate with Sales during pre-sales discussions to ensure smooth handover and set clear expectations for implementation.
• Manage end-to-end implementation of Workable's solutions, overseeing project timelines, milestones, and proactively addressing risks or delays.
• Lead professional services engagements, including integrations, data migrations, and custom reporting projects.
• Partner with cross-functional teams (Sales, Product, Engineering, Support) to deliver a seamless implementation experience.
• Understand customer goals and challenges, providing guidance and best practices to drive adoption and success.
• Track and report on implementation progress, customer satisfaction, and areas for improvement.
• Conduct post-implementation and post-renewal check-ins to ensure ongoing alignment and maximise product usage.

Requirements

• Bachelor's degree
• 3+ years of experience in customer implementation, onboarding, project management, or consulting
• Experience managing multiple concurrent customer implementation projects
• Experience leading professional services engagements such as integrations, data migrations, or custom reporting
• Experience performing requirements analysis to translate customer needs into implementation plans
• Experience in a customer-facing role working with HR leaders and recruiters

Benefits

Our employees enjoy benefits that make them more productive and contribute directly to the development of their professional skills. We want to be able to attract the best of the best and make sure they keep getting better. On top of an exciting, vibrant and intellectually challenging workplace, we offer:

• Competitive salary range: $80,000 – $95,000 USD annually, depending on experience and skills
• Comprehensive Coverage: Private Health Insurance, Life, and AD&D Insurance to keep you and your loved ones secure.
• Financial Wellness: 401K, Retirement Plan, and Performance Bonuses to invest in your future.
• Stay Connected: Cell phone reimbursement for seamless communication.
• Work in Style: Apple gear provided to set you up for success.
• Support When You Need It: Access to our Employee Assistance Program (EAP) for personal and professional support.
• Daily Fuel: Receive a daily lunch allowance to keep you energised and productive during your workday at the office.

XML job scraping automation by YubHub

You're a self-driven, highly capable recruiter who thrives in fast-moving environments and is energized by the challenge of finding talent that can build the best products. You're deeply curious, technically fluent, and confident engaging with engineering and product candidates who are solving some of the hardest problems in AI and personalization.

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.

Responsibilities

• Own full-cycle recruiting for highly technical engineering and product roles, from sourcing through to offer and close
• Source and engage top-tier engineering and product talent across North America, LATAM, EMEA, and APAC
• Deliver a high-quality candidate experience that reflects Constructor’s values and culture
• Partner closely with hiring managers to define role criteria and success profiles
• Provide weekly updates to hiring managers on pipeline progress, challenges, and key metrics
• Manage interview logistics and ensure smooth scheduling and debriefs across time zones
• Build pipelines for current and future hiring needs across technical and adjacent teams
• Assess candidates fit for technical capabilities, communication, and success in our fast-moving remote environment
• Continuously evaluate and improve recruiting processes, tools, and reporting
• Represent Constructor as a thoughtful and enthusiastic brand ambassador in every candidate interaction

Requirements

• Proven success hiring for technical roles such as backend, frontend, data/ML, and product management, and product design
• Proactive and self-directed with a strong sense of ownership and follow-through
• Flexible and responsive to candidate needs, including scheduling across global time zones
• Demonstrated success in fast-paced environments, ideally at growth-stage startups
• Strong track record of retaining hires and building trust with hiring teams
• Deep comfort using LinkedIn Recruiter and managing searches in an ATS
• Highly organized with strong attention to detail
• Excellent written and verbal communication skills with strong interpersonal skills
• Empathetic, thoughtful, and clear when interacting with candidates and internal stakeholders

Benefits

• Fully remote team — choose where you live
• Apple laptop provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Work from home stipend!

XML job scraping automation by YubHub

As a Technical Integration Specialist, you will improve the ecommerce experience for hundreds of millions of users across the world by providing first level technical support to ecommerce companies (our customers) as they integrate their websites and mobile applications with Constructor's platform.

This includes onboarding support, API and library education, troubleshooting, index configuration, communication, and process improvement.

Responsibilities

• Onboarding support: Collaborating with customers to understand their technical integration needs and assist them through the integration process.
• API and library education: Providing expert guidance on integrating with Constructor's APIs and utilizing open source libraries.
• Troubleshooting: Helping resolve technical challenges and integration issues alongside Customer Success teams.
• Index configuration: Working with customers to ensure their product catalogs are properly configured, including uploading catalog data, configuring facets, searchabilities, sort orders, and retrieving results.
• Communication: Acting as a liaison between customers and other technical resources, responding promptly to inquiries with clear explanations.
• Process improvement: Documenting customer interactions, common issues, and solutions, improving integration documentation and customer onboarding.

Requirements

• Proven experience in customer support or technical support roles.
• Knowledge of REST-based web services, APIs, and integration best practices.
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Detail-oriented mentality with a commitment to delivering exceptional customer support.
• Strong problem-solving skills and a proactive approach to issue resolution.
• Able to support customers and team members between 5am and 1pm UTC.

Preferred qualifications

• Familiarity with structured data formats (JSON, CSV) and basic search/index concepts.
• Familiarity with debugging tools such as browser developer tools, API clients (e.g., Postman), or logs.
• Familiarity with A/B testing, understanding of server side and client side contexts, network request routing / HTTP.
• Familiarity working with open source libraries, JavaScript web application development and integration patterns.

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• Work from home stipend! We want you to have the resources you need to set up your home office.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results.
• Stock options - offered in addition to the base salary

XML job scraping automation by YubHub

Key Responsibilities and Activities

• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online platforms, job boards, networking, and referrals.
• Screen resumes and conduct initial interviews to evaluate candidate qualifications.
• Coordinate interview schedules, assessments, and follow-up communication.
• Manage the offer process including negotiations, reference checks, and onboarding coordination.
• Maintain candidate pipeline and applicant tracking system (ATS) records.
• Build and maintain strong relationships with candidates to ensure a positive experience.
• Monitor and report recruiting metrics (e.g., time-to-fill, cost-per-hire, quality of hire).
• Stay updated on industry trends, labor market conditions, and recruitment best practices.

Requirements

• Bachelor’s degree in human resources, Business Administration, or related field (preferred).
• Proven experience as a Recruiter (in-house or agency).
• Experience in the localization industry.
• Strong understanding of full-cycle recruitment and sourcing techniques.
• Excellent communication, interpersonal, and negotiation skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Familiarity with HR databases, ATS, and sourcing tools (e.g., LinkedIn Recruiter).
• Fluent in English and Japanese, with proficiency in another Asian language (preferably Chinese).

Employee benefits will follow the applicable policies of the employee’s hiring location.

XML job scraping automation by YubHub

We are seeking a motivated and resourceful Recruiter to manage the end-to-end hiring process. The Recruiter will be responsible for sourcing, screening, and selecting qualified candidates to fill open roles while ensuring a positive candidate experience and alignment with company culture and objectives.

Key Responsibilities and Activities

• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online platforms, job boards, networking, and referrals.
• Screen resumes and conduct initial interviews to evaluate candidate qualifications.
• Coordinate interview schedules, assessments, and follow-up communication.
• Manage the offer process including negotiations, reference checks, and onboarding coordination.
• Maintain candidate pipeline and applicant tracking system (ATS) records.
• Build and maintain strong relationships with candidates to ensure a positive experience.
• Monitor and report recruiting metrics (e.g., time-to-fill, cost-per-hire, quality of hire).
• Stay updated on industry trends, labor market conditions, and recruitment best practices.

Requirements

• Bachelor’s degree in human resources, Business Administration, or related field (preferred).
• Proven experience as a Recruiter (in-house or agency).
• Strong understanding of full-cycle recruitment and sourcing techniques.
• Excellent communication, interpersonal, and negotiation skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Familiarity with HR databases, ATS, and sourcing tools (e.g., LinkedIn Recruiter).
• Good level of English and an Asian language is mandatory (preferable Chinese).

Benefits

• Base salary
• Bonus
• Social insurance and housing funds
• Medical check-up/ additional medical insurance
• EAP Program

XML job scraping automation by YubHub

Liquid Violet is a voice casting and recording studio based in the heart of Covent Garden. Part of the Keywords Studios group, we opened this state-of-the-art facility in 2018, and we produce original dialogue for AAA games, and animated series, as well as facial performance capture, UK English dubbing, audio drama, and ADR.

About the role

We have a new and exciting opportunity for a Transfer Operator to join the Liquid Violet team on a 12-month fixed term contract, with the potential to extend. The successful applicant will work to deliver optimum technical efficiency, enabling the company to deliver a competitive, agile and flexible response to the developing needs of our clients.

Responsibilities

• Deliver optimum technical efficiency to support the company's clients.
• Work with producers, sound engineers, and editors to prepare and deliver key assets.
• Set up projects and prepare audio and video material.
• Update assets to ensure everyone is working with the latest material.
• Final deliveries to clients.
• Handle large file volumes and deliver accurately under time pressure.
• Work independently with minimal supervision.

Requirements

• ProTools, VoiceQ, Adobe Audition, Premiere, Reaper, media encoder or other DAWs.
• Exceptional organisation and communication skills.
• Similar experience in a technical role within a recording studio or post-production environment or a relevant degree/college qualification with practical elements.
• Experience with handling large file volumes and delivering accurately under time pressure.
• Be adaptable and respond quickly to last minute, shifting deadlines.
• Good knowledge of surround sound formats (Dolby Atmos), video codecs, sample rates and file formats is an advantage.
• A solid knowledge of Excel and Word is essential.
• QC experience would be a bonus.

Benefits

• Annual Bonus – be rewarded for great work!
• Group Income Protection and Group Life Assurance
• Private Medical Insurance
• Employee Assistance Program (EAP)
• Enhanced Employer Pension Contributions
• 25 days annual leave + UK Bank Holidays (pro-rated)
• Cycle Scheme
• Tech Scheme
• Electric Car Scheme

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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.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.

The Intelligence and Investigations team supports this mission by identifying, analyzing, and investigating misuse of our products, particularly novel or emerging abuse patterns. Our work enables partner teams to develop data-backed product policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, legitimate applications.

About the Role

As a Child Safety Investigator on the Intelligence & Investigations team, you will identify and disrupt actors attempting to use OpenAI’s products to sexually exploit minors both online and in the real world. OpenAI maintains strict prohibitions in this area and reports apparent CSAM and other credible child sexual exploitation threats to the National Center for Missing and Exploited Children (NCMEC), consistent with applicable law and our policies.

This role requires domain-specific expertise, technical fluency, and the ability to operate in ambiguous, high-impact situations. You will conduct in-depth investigations into user behavior, analyze product data, identify emerging threat patterns, and support enforcement actions — including escalations requiring legal review and external reporting.

You will also help develop detection strategies that proactively surface high-risk behavior, especially cases that evade existing safeguards. This role includes responding to time-sensitive escalations. Investigations may involve exposure to sensitive and disturbing material, including sexual or violent content.

In this role, you will:

• Investigate high-severity child safety violations and disrupt malicious actors in partnership with Policy, Legal, Integrity, Global Affairs, Security, and Engineering teams, including through cross-platform and cross-internet research

• Support investigations across other high-risk harm areas where child safety concerns intersect

• Conduct open-source and cross-platform research to contextualize actors and abuse networks

• Develop detection signals, behavioral heuristics, and tracking strategies to proactively identify high-risk users using tools such as SQL, Databricks, and Python

• Communicate investigation findings clearly and effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries

• Develop a deep, working understanding of OpenAI’s products, internal data systems, and enforcement mechanisms

• Collaborate with engineering and data partners to improve investigative tooling, data quality, and analyst workflows

• Support time-sensitive escalations and high-priority investigations requiring rapid analysis and sound judgment

• Represent investigative findings and work externally with the press, governments, NGOs, and law enforcement agencies

• Participate in a rotating on-call schedule to support timely response to high-priority safety incidents and sensitive investigations

You might thrive in this role if you:

• Have deep expertise in online child safety and child exploitation threats

• Have familiarity or proficiency with technical investigations, especially using SQL, Python, Notebooks and scripts in a government, law enforcement and/or tech-company setting

• Speak one or more languages in addition to English

• Have at least 5+ years of experience tracking threat actors in abuse domains

• Have worked on time-sensitive escalations involving high-risk harm

• Have presented analytic findings to senior stakeholders or external partners

• Have experience scaling and automating processes, especially with language models

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.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

The Creative Studio is Anthropic's in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. The team is growing, and we’re looking for people who do excellent work to join us. The stakes are real, and there’s room to shape what all this becomes.

About the role

As a Video Director for Product Launches at Anthropic, you will own the creative vision and execution of video content for our most important moments: model launches and product reveals. You'll lead the full production lifecycle from concept to delivery, bringing a storyteller's instinct to complex technical subjects and crafting narratives that make transformative AI feel accessible and compelling.

This role operates in a fast-paced environment where launch timelines move quickly and turnarounds are tight. You'll need to make sharp creative decisions without the luxury of extended development cycles, pivoting when priorities shift, moving from brief to execution with speed, and delivering high-quality work under real pressure.

You're someone who can walk into a room, understand what a launch needs to communicate, and build a video strategy around it — then execute it at the highest level. You lead crews with confidence, guide collaborators through ambiguity, and know how to get great work across the finish line even when the timeline is short.

Responsibilities

• Direct and oversee video production for model and product launches, from initial creative brief through final delivery, often on compressed timelines

• Develop creative concepts, treatments, and narrative strategies that translate complex AI capabilities into compelling, human-centered stories

• Lead and manage production crews on set, including DPs, camera operators, sound, lighting, and other crew members

• Partner with marketing, product, and communications teams to align creative direction with launch goals and messaging

• Guide post-production workflows, providing creative direction to editors, colorists, and sound designers

• Identify the story worth telling within a launch, taking raw elements, context, and product details and crafting a cohesive narrative arc

• Build and maintain scalable production processes that can flex to meet the pace of Anthropic's launch cadence

• Stay current with video production trends, launch formats, and storytelling techniques in the technology and AI space

You may be a good fit if you

• 6+ years of professional video directing or production experience, with a portfolio that demonstrates your ability to lead high-impact launches or campaigns

• Have experience directing at a SaaS or AI company, or have worked as part of an in-house creative team in a fast-paced technology environment

• Are a skilled storyteller who can take disparate elements, such as product features, brand positioning, and customer impact, and shape them into a compelling narrative

• Have proven experience leading production crews on set and are comfortable owning creative decisions under time and budget pressure

• Thrive under tight turnarounds and can maintain creative quality when timelines are compressed

• Understand the full filmmaking process, from pre-production through delivery, and can provide informed direction at every stage

• Are an excellent communicator who can articulate creative vision clearly to both production teams and non-technical stakeholders

• Are proactive and calm under pressure, bringing clarity to ambiguity and keeping productions moving even when priorities shift

• Are excited about the challenge of making AI launches feel meaningful to a broad audience

Strong candidates may also have

• Hands-on experience as a director of photography or camera operator

• Editing experience and comfort working directly in post-production

• Experience directing launch videos, keynote content, or product announcement films

• Background working with technical or complex subject matter and making it accessible on screen

• Familiarity with motion graphics, animation, or mixed-media storytelling techniques

• Knowledge of different delivery formats and platform requirements (web, social, events, broadcast)

• Experience building or scaling a video production function from the ground up

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

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We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.

You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities

• Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform

• Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data

• Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale

• Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports

• Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders

• Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices

You may be a good fit if you

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with large language models and understanding of how AI technology could be misused for cyber threats

• Have subject matter expertise in abusive user behaviour detection, such as influence operations, coordinated inauthentic behaviour, or cyber threat intelligence

• Have experience tracking threat actors across surface, deep, and dark web environments

• Can derive insights from large datasets to make key decisions and recommendations

• Have experience with threat actor profiling and utilising threat intelligence frameworks (MITRE ATT&CK, etc.)

• Have strong project management skills and ability to build processes from the ground up

• Possess excellent communication skills to collaborate with cross-functional teams and present to leadership

Strong candidates may also have

• Experience working with government agencies or in regulated environments

• Background in AI safety, machine learning security, or technology abuse investigation

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

Deadline to apply

None. Applications will be reviewed on a rolling basis.

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.

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.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/career

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We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

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.

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Responsibilities

• Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
• Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
• Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.
• Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.
• Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.
• Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.

Examples of what you could do

• Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
• Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.
• Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).
• Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.

Required skills and experience

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
• 4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.
• Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
• Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
• Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).
• Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.

Preferred Qualifications

• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).
• Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company.
• Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).
• Experience with attribution modelling, marketing mix modelling, or incrementality testing.
• Understanding of PLG (product-led growth) motions and self-serve conversion funnels.

Bonus Points

• Experience analysing freemium or usage-based pricing models.
• Understanding of developer tools, collaborative coding environments, or technical products.
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).
• Familiarity with customer data platforms (CDPs) and event tracking implementation.
• Experience working with sales and customer success data to analyse expansion revenue and upsell opportunities.

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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As a Staff Product Engineer on Replit’s Product Platform team, you’ll build the shared product systems and primitives that power Replit’s core experiences — enabling product teams to ship faster and helping users (and agents) build better software.

What you’ll do

• Lead major cross-team platform initiatives, taking foundational systems from 0 → 1 and scaling them to support millions of users

• Build shared, extensible Agent primitives that Replit Agent can reuse safely and consistently (Meta Programming)

• Identify the highest-leverage technical bottlenecks (performance, reliability, correctness, abuse, observability), then design and ship solutions for our scale

• Raise the bar for engineering excellence through architecture reviews, code quality, reliability standards, and mentorship

• Partner across teams to improve platform adoption, ergonomics, and velocity — turning platform work into measurable outcomes

Core areas you’ll work on

• Agents and Replit users depend on us to build applications (e.g. Connectors framework, Content/configuration primitives (CMS + product surfaces), Data/analytics/events + experimentation primitives)

• Replit Agent as a principal in third party systems. Agent can be fully used within ChatGPT and publishes straight to the iOS app store. We’ll be doing loads of that.

• Platform product teams rely on us to ship consistently (e.g. Identity & Access platform (SSO/SCIM), Localization/i18n platform, Notifications & communications platform)

• Core web platform infrastructure (e.g. performance & page load optimization, observability and debugging workflows, caching strategy and reliability)

Required skills and experience

• 7+ years of professional software engineering experience

• Understanding of the full agentic software development stack, helping coding agents build, test and review correct code.

• Strong track record leading complex projects with cross-functional stakeholders

• Experience building and operating platform systems that other teams depend on

• Experience operating and scaling systems in production (reliability, performance, incidents, on-call readiness)

• Strong product judgment: you can balance UX, speed, correctness, and long-term maintainability

• Comfort working in modern web stacks such as TypeScript, React, Node.js, Postgres

Bonus points

• Experience working in environments with a high engineering bar (or a fast-growing startup where you shipped fast _without_ burning out quality)

• Experience with platform and distributed systems patterns (queues, workflows, caching, rate limiting, async processing)

• Familiarity with systems like Redis, Postgres, Workflow engines (e.g. Temporal), Auth and enterprise identity (SSO, SCIM), Abuse protection and edge systems (Cloudflare), Cloud platforms (GCP), Observability (Datadog, Sentry), Localization, Experimentation and event pipelines (Statsig, Segment, analytics/event tracking)

Example Projects You’ll Work On

• Connectors platform for agents — ship a secure connector framework (OAuth/permissions/data access) so agents can integrate with Slack/Notion/GitHub/etc.

• Agent-facing external surfaces — own high-quality embedded experiences (desktop/extension/embeds) that let agents act in-context across tools

• Safety + abuse controls for agent actions — design permissioning, rate limits, and policy enforcement so agents can operate safely at scale

• Real-time notifications platform — design in-app/email surfaces + build reliable delivery/fanout, preferences, and observability

• Core web platform performance + caching — improve latency and reliability via caching strategy (Redis), profiling, and safe fallbacks

• Events + experimentation primitives — standardize tracking/metrics + feature flags/rollouts so teams can ship safely and measure impact

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $342K – $555K • 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.

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.

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-native 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

As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!

In this role, you will:

• Co-design future hardware for programmability and performance with our hardware vendors

• Assist hardware vendors in developing optimal kernels and add support for it in our compiler

• Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features

• Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking

• Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators

• Manage communication and coordination with internal and external partners

• Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads.

• Evaluate potential partners’ accelerators and platforms.

• As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.

You might thrive in this role if you have:

• 4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.

• Strong experience in software/hardware co-design

• Deep understanding of GPU and/or other AI accelerators

• Experience with CUDA, Triton or a related accelerator programming language

• Experience driving Machine Learning accuracy with low precision formats

• Experience with system performance modeling and analysis to optimize ML model deployment

• Strong coding skills in C/C++ and Python

• Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture.

These attributes are nice to have:

• PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems

• Strong understanding of LLMs and challenges related to their training and inference

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San Francisco

Employment Type

Full time

Department

People

Compensation

• San Francisco$216K – $240K • 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 mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Recruiting team is responsible for finding, assessing, and hiring exceptional talent across various fields and specialties. The team acts as consultative partners to our leaders across the organization, from technical managers up to our CEO, Sam Altman. We’re an established, collaborative team with a balance of structure, process, and ambitious problems to solve for.

About the Role

We are seeking a dynamic and experienced Candidate Experience Manager to lead our global coordination team. This individual will be responsible for overseeing the coordination of candidate interviews, ensuring a seamless and exceptional candidate experience, and scaling our coordination processes to meet the demands of a high-volume recruiting environment.

This role is based in our San Francisco HQ office and not currently open to fully remote work.

In this role, you will:

• Manage and lead our ever growing coordination team, providing guidance, support, and development opportunities.

• Oversee the coordination processes of all candidate interviews, including scheduling, communication, and logistics for both virtual and in-office interviews.

• Develop and implement scalable coordination processes to improve efficiency and consistency across the team.

• Influence and enhance candidate experience programs, ensuring every candidate receives a positive and professional experience throughout the recruitment process.

• Oversee high-volume recruiting activities, ensuring timely and accurate scheduling and coordination of interviews and candidate interactions.

• Develop, implement, and audit job posting and interview plan processes to ensure consistency and effectiveness.

• Collaborate with recruiters, hiring managers, and other stakeholders to ensure alignment and support throughout the recruitment lifecycle.

• Continuously assess and improve coordination practices, leveraging feedback and data to drive process improvements.

Qualifications:

• A good understanding of load balancing for coordinators

• Familiarity with Ashby ATS is a plus

• Proven experience in managing a global recruiting coordination team.

• Strong familiarity with in-office interviewing processes and best practices.

• Demonstrated background in building and scaling coordination processes within a high-volume recruiting environment.

• History of managing and influencing candidate experience programs, with a focus on delivering exceptional service.

• Excellent organizational and multitasking skills, with a strong attention to detail.

• Outstanding communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.

• Well versed in Project Management Practices

• At least 5 years of people management experience.

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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About the role

We’re looking for an Analyst to join the People Analytics team as an automation expert. This role is hands-on, technical and analytical: you’ll build reliable datasets, prepare, audit and automate reporting for leadership reviews, and help scale reporting frameworks across the People data stack.

Your Responsibilities:

• Leverage our engineering stack, be creative and automate manual data analytics and reporting processes.

• Conduct data gathering, reporting and analysis needs for Executive Business Reviews and ad-hoc deep dives.

• Own preparation of reporting and slide-ready data exports for Executive Business Reviews.

• Work with cross-functional stakeholders (People Systems, Finance, Data Platform, Recruiting Operations and more) to prepare, validate, and document datasets used for People reporting.

• Help build and automate recurring reporting based on existing frameworks and stakeholder feedback.

• Partner with data warehouse engineering and data stakeholders to improve accuracy, freshness, lineage, and robustness of core People datasets.

• Develop ad hoc data pipelines and rigorous data validations to support high-stakes executive reporting and deep-dive analyses.

We’re Seeking:

• 2–4 years in an analytics role (data analysis, data engineering, business intelligence, consulting or similar) at a high-growth organization.

• High performing and highly dependable, comfortable operating with rigor in a fast-paced environment, with strong attention to detail.

• Strong SQL expertise. You will write production queries, build ad-hoc ETLs and conduct data validations as needed.

• Comfortable cleaning, joining, and validating multi-source datasets and communicating data limitations.

• Excellent written and verbal communication; experience preparing slide-ready charts/tables for leadership audiences.

• Demonstrated ability to partner with non-technical stakeholders and translate business questions into data requirements.

• Strong Python and automation experience is a plus.

• Prior experience with HRIS/ATS/payroll data is a plus but not required.

Workplace & Location

This role is based in our San Francisco office, and we aren’t considering remote applications at this time. We do encourage you to apply even if you prefer a fully remote role as location factors may change over time.

We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.

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 ensure that our products are developed and used responsibly.

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Le Mans

Les missions du poste

Rattaché au Responsable Technique, le Délégué Technique rejoindra l’équipe permanente de l’ACO, en charge de l’élaboration et de l’application de la réglementation technique.

Il interviendra principalement sur les championnats ALMS et ELMS, ainsi que sur leurs championnats support, et représentera l’ACO auprès des constructeurs, concurrents et fédérations partenaires.

Vous serez amené à :

Avant les événements :

•Gérer en autonomie les aspects techniques des épreuves organisées par l’ACO

•Former les équipes de contrôle en lien avec la Direction

•Préparer les notes et bulletins techniques

•Organiser les contrôles techniques et assurer le lien avec les officiels

Pendant les événements :

•Assurer le rôle de Délégué Technique, conformément au Code Sportif International

•Réaliser les contrôles techniques (initiaux, inopinés, finaux)

•Produire rapports et relevés dans les règles de l’art

Après les événements :

•Participer aux débriefings opérationnels et techniques

•Produire un reporting détaillé

•Contribuer à l’évolution des règlements techniques et sportifs (LMP2, LMP3, LMGT3)

En transversal :

•Coordonner l’activité des pôles spécialisés (Opérations, Performance, Électronique) sur le périmètre championnat

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September 4, 2024

APPLY NOW

Category

Business Development

Status

Permanent

Schedule

Full time

Territory

Europe

Training

University degree in business administration, engineering or equivalent

Experience

5 to 7 years

Summary

Forge your career in the world of motion!

With a focus on agility, excellence and creativity, people are at the heart of the D-BOX experience. D-BOX, a Quebec-based SME with a global presence, is recognized as a leader in motion technology. We work every day to create immersive experiences of unprecedented realism. Motivated by challenges and collaborative work? D-BOX has a place for you!

WE ARE LOOKING FOR:

Business Development Manager - Europe– for the following markets:

• Theatrical

• Simulation & Professional Training

What is the theatrical market?

With our unique motion experience available in over 900 theatrical auditoriums, in more than 40 countries, we provide our partners with a cost-effective and proven way to offer their audiences the best cinema experience. Our haptic cinema seats offer total comfort, providing the movement that is in complete sync with the action, the vibrations and precise textures for which D-BOX is renowned.

What is the Simulation and Professional Training market?

With over 25 years’ experience in creating customized haptic experiences, D-BOX helps develop reliable simulated training solutions that reproduce the key immersive elements required for successful training. Our ultra-precise motion solutions in the construction, military, aviation and automotive fields, among others, make training more engaging, more effective, more realistic and more immersive.

The Business Development Manager’s main mandate is to contribute to the growth and profitability of the Theatrical and the Simulation and Professional training markets. He or she will oversee the deployment of the business development strategy and will be responsible for quickly identifying new opportunities with theatrical exhibitors and other potential clients and partners.

Your mission

• Implement business development and sales strategies for your markets and ensure the achievement of sales to maximize revenue growth.

• Develop business opportunities and establish relationships with new clients, exhibitors and potential integrators.

• Prepare and present sales proposals.

• Regularly follow up on client accounts to ensure sales targets are met or even exceeded.

• Effectively use the Customer Relationship Management System (CRM) by entering clients’ business information.

• Collaborate with the marketing team on strategic planning and the development of marketing tools.

• Participate in sales team follow-up meetings, plan, track, and analyze sales results for the market.

• Collaborate with various internal stakeholders to monitor operations.

• Work with the legal affairs department and team members in contract negotiations.

• Any other tasks related or relevant to the activities of this sector, depending on the evolution of the business and/or the emergence of new priorities.

Your DNA

• University degree in business administration, engineering or equivalent.

• 5 to 7 years of experience in business development in Europe, with an excellent track record.

• Experience in prospecting and/or lead generation is required.

• Experience in commercial entertainment/cinema would be an asset.

• Experience in selling technical business solutions to companies in the construction, military, aviation, transportation and automotive sectors would be an asset.

• Excellent analytical skills and strong organizational skills.

• Great ability to understand customer needs and apply the technical aspects of a product to them.

• Strong negotiation skills.

• Strong interpersonal skills.

• Team player.

• Ability to work and collaborate in a dynamic and fast-paced environment.

• Ability to handle stressful situations and efficiently manage tight deadlines.

• Experience with a Customer Relationship Management system (CRM).

• Excellent presentation skills.

• Excellent English, spoken and written (French, an asset)

• This position requires frequent travel (business trips) 25% to 40% of the time.

Perks

• An energetic team that entertains the planet;

• Opportunity to innovate, grow and have a significant impact;

• A flexible work schedule with teleworking possibility;

• A complete insurance plan (with telemedine services);

• Personal days;

• Bonus program;

• An annual credit for sports;

• A salary commensurate with your talent;

• And much more!

D-BOX is committed to making our team a better reflection of society and values diversity of all forms. We encourage applications from women, from those who identify as Indigenous, as a Person of Colour, as a member of the LGBTQ2S+ community, as a person with a disability and from other cultural, racial or ethnic minorities.

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Multimodal Infrastructure. The successful candidate will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. They will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get their work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements.

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We're looking for someone who will design, develop and maintain large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components.

Accountabilities

• Design, develop and maintain large-scale multimodal data processing pipelines.
• Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

As a Member of Technical Staff, Multimodal Infrastructure, you will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

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What you'll do

• Providing advanced technical debugging support for Totem-SC and Totem, ensuring seamless customer experiences.
• Setting up, validating, and reproducing customer flows to investigate and resolve complex issues.
• Collaborating with R&D teams to perform root cause analysis and implement effective solutions.
• Supporting certification and evaluation flows for analog IP and power integrity tools.
• Delivering on-site or remote technical support to Korean customers, adapting to their unique needs and environments.
• Extending support to global customers as needed, contributing to Synopsys' worldwide reputation for excellence.

What you need

• Strong understanding of analog IP EM/IR analysis methodologies and challenges.
• Hands-on experience with power integrity tools such as Totem and Totem-SC.
• Proficiency in SPICE simulation and netlist debugging for analog and mixed-signal designs.
• Knowledge of DSPF/SPF formats and their application in power and signal integrity analysis.
• Expertise in Linux environments, with scripting skills in Python or TCL preferred.
• Familiarity with foundry PDKs and certification flows for advanced semiconductor processes.

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What you'll do

• Providing advanced technical debugging support for Totem-SC and Totem, ensuring seamless customer experiences.
• Setting up, validating, and reproducing customer flows to investigate and resolve complex issues.
• Collaborating with R&D teams to perform root cause analysis and implement effective solutions.
• Supporting certification and evaluation flows for analog IP and power integrity tools.
• Delivering on-site or remote technical support to Korean customers, adapting to their unique needs and environments.
• Extending support to global customers as needed, contributing to Synopsys' worldwide reputation for excellence.

What you need

• Strong understanding of analog IP EM/IR analysis methodologies and challenges.
• Hands-on experience with power integrity tools such as Totem and Totem-SC.
• Proficiency in SPICE simulation and netlist debugging for analog and mixed-signal designs.
• Knowledge of DSPF/SPF formats and their application in power and signal integrity analysis.
• Expertise in Linux environments, with scripting skills in Python or TCL preferred.
• Familiarity with foundry PDKs and certification flows for advanced semiconductor processes.

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What you'll do

You will support the Field Marketing team in delivering the 2026 and 2027 regional business plans by implementing brand activations at third-party events, executing branded vehicle activations, and bringing national brand campaigns closer to consumers in the region.

• THIRD PARTY SUPPORT PLAN: SPORT AND CULTURE EVENTS

Execute an innovative 3rd party support plan, that spans the full term of the placement, demonstrating Red Bull giving wings to regional scenes and individuals in the moment of need.

• IMAGE DRIVING DISTRIBUTION

Supporting the national Image Driving Distribution strategy ensuring Red Bull is available at influential Sport and Culture venues.

• FIELD ACTIVATIONS

Supporting the delivery of the Event Vehicle programme though identifying opportunities in the region and executing pop-up activations.

What you need

• Currently studying a degree and seeking a placement or internship as part of your studies or within 2 years of completing your degree.

• A keen interest in HR and the day-to-day operations of an HR function.

• Enthusiasm and the ability to build, develop, and maintain good working relationships.

• Passion for people, communication and building relationships.

• Super organised with great attention to detail and a proactive attitude.

• Curious about talent, brand, culture and how great companies hire well.

• Comfortable working in a fast-paced environment and juggling multiple tasks.

• Confident using Microsoft Office; any experience with an ATS is a plus but not essential.

• Data-driven – the ability to take data and create a story with it.

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What you'll do

Automotive Control Systems Engineers develop state of the art algorithms and functions for upcoming vehicles with electrified powertrains, automatic transmissions, driver assistance and autonomous driving features as well as engineering software and tools to support efficient development of such software and features.

What you need

• Minimum Bachelor’s degree in Electrical / Electronics / Mechatronics / Control Engineering, and preferably Master’s
• Fluent speaking and excellent writing skills in English
• Minimum 1 years of experience in automotive controls
• Fast learner, treats change as an opportunity to learn and develop
• Good communication, presentation and planning skills
• Willingness to frequent and long-term travel abroad

Why this matters

One paragraph about career impact and value.

Automotive Control Systems Engineers develop state of the art algorithms and functions for upcoming vehicles with electrified powertrains, automatic transmissions, driver assistance and autonomous driving features as well as engineering software and tools to support efficient development of such software and features.

About AVL

AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

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What you'll do

• Own end-to-end interview scheduling across product engineering, and business roles — coordinating complex multi-stakeholder panels across time zones
• Serve as the primary candidate touchpoint from first to final interview, ensuring every interaction reflects Perplexity’s speed and quality

What you need

• 1–3 years of recruiting coordination or similar experience in a fast-paced environment
• Proficiency with ATS and modern scheduling tools

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What you'll do

• Own the strategy, content and day-to-day execution for ElevenLabs’ Instagram and TikTok accounts. (and YouTube Shorts)
• Develop and test content ideas that resonate with creators and creatives globally.

What you need

• You’ve scaled at least one Instagram or TikTok account to 50k+ followers.

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What you'll do

In this role, you will be responsible for consistently maintaining all department assets within their operating context to ensure daily Safety, Quality, Cost, Delivery, Morale, and Environment target achievement.

• Supporting the department in achieving daily production targets
• Performing daily equipment inspections/checks for abnormal situations

What you need

• High school Diploma or GED required
• Minimum of 2 years maintenance experience with a degree or technical certification OR 2-5 years of experience in an industrial environment

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