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Location: US: San Mateo (1875 South Grant Street); CAN: Toronto (111 Richmond Street West); CAN: Vancouver (333 Seymour St); US: Washington Remote Worker Workplace: Hybrid Team: Accounting Core Location / work arrangement: San Francisco, San Mateo and Seattle (Hybrid) Employment type: Full Time About the Role Xero’s ledger is the source of truth for millions of businesses, and every product we ship is built on top of it. We are rebuilding this integrity layer for the next 20 years, and we are standing up the Vancouver engineering hub around it from day one. As Lead Engineer, you will make the architectural decisions that set the course for the platform and the team, and you will see those decisions reach every customer who depends on Xero to get their numbers right.   THE TECHNICAL CHALLENGES - Correctness at scale. Accounting data has to be consistent, auditable, and immutable. There is no “close enough,” and every change to the ledger has to preserve that guarantee across regions and regulations. - Evolving a mature system. We are adding real-time expectations to a platform that millions of businesses depend on daily. That means strengthening service boundaries and clarifying data contracts without compromising reliability. - Durable, high-throughput services. We use durable execution (for example, Temporal) to keep long-running financial workflows accurate and recoverable under load. - AI-ready data. We are structuring accounting data so it can power AI-native experiences while maintaining trust in the numbers.   IMPACT - First six months: You understand the ledger and its consumers, align the team on service boundaries and data contracts, and ship a first modernization increment with no loss of data integrity. - First twelve months: - You have set the architecture for the core accounting capabilities (general ledger, journals, chart of accounts, multi-currency). - The Vancouver engineering team has clear ownership and quality standards, thanks in part to your leadership and role modeling. - Your work reaches customers through every product built on the ledger, and the decisions made now will shape Xero for years.   OWNERSHIP You will own the technical direction for your area of the accounting platform, from design through production and on-call. You will make architectural decisions on service boundaries, data contracts, and technology choices without needing sign-off, and you will be accountable for reliability and data integrity end to end. You will also help set hiring, quality, and ownership practices for an early and growing team, which will compound over time.   WHO YOU’LL WORK WITH Bernardo Farah is the Director of Engineering for Accounting Core. He has over 10 years of SaaS software experience, including six years building platforms and growing teams at Samsara. WHAT YOU BRING MUST-HAVE: - You set the standard for your team in AI-assisted development, operational excellence, and flexible architecture. - A track record delivering highly available, distributed backend systems and designing high-throughput services under production constraints. - Depth in system architecture, API design, and both SQL and NoSQL databases - Proficiency in a modern backend stack such as C#, Java, Go, or C++, plus cloud-native platforms like AWS. - You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. NICE TO HAVE: - Experience with financial, ledger, or accounting systems, or other domains where data integrity is critical - Experience with durable execution or workflow engines such as Temporal - Experience modernizing a mature system without disrupting customers   HOW WE WORK Process is a tool for impact and we adjust accordingly. We use an agile approach to ship outcomes, not to follow ceremony. Code and design reviews are where we trade ideas and hold the quality bar, and we are figuring out how to use LLMs to reduce how much code humans have to write and review by hand. Our on-call rotation draws on a healthy pool of engineers and turns incidents into learning through postmortems. Decisions are made at every level, and we make sure everyone has the strategic context to raise proposals and drive innovation.     Our Hiring Process - Stage 1: Real World coding assessment, 45 Mins - Stage 2: Systems Design assessment, 45 Mins - Stage 3: Technical Deep dive, 60 Mins - Stage 4: Values/ Future Proof, 60 Mins - Stage 5: Leadership interview, 60 mins   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies. Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The base salary range for this role in $206,000 to $260,000 USD Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Lifecycle Marketing Specialist San Mateo, CA / Hybrid The Lifecycle Marketing team is part of the broader Global Media and Omnichannel Marketing function within PlayStation and is responsible for implementing multi-channel digital programs and campaigns developing a relevant dialogue with tens of millions of customers across the globe. We are advocates for the player . Crafting unforgettable digital experiences that fulfill player curiosity, boost gameplay and drive revenue. We use data-driven insights to build one-to-one relationships and personali z ed journeys with players across web , email, mobile and on-console. The Lifecycle Marketing Specialist role is responsible for delivering lifecycle campaigns head to tail including planning, testing, executing and measurement specifically for Live Service and franchise titles . This creative and innovative individual will work closely with our Creative Studio, Data Science, Audience & Measurement and Marketing teams across the Americas, Europe, and Asia. Together, we are on a mission to redefine owned channel marketing and its relationship to company growth and player engagement. Main responsibilities: Build, configure, test, QA and launch multi-channel campaigns and automated journeys directly within campaign management tools for Live Service and franchise software titles across email, mobile and on-console messaging channels. Partner closely with senior lifecycle marketing leads to translate strategies and campaign blueprints into high-quality campaigns, moving efficiently from brief through build, approval and launch. Plan campaigns based on existing campaign blueprints, and collaborate with team to iterate and improve on prior campaign structures. Operate with agility in a fast-moving live-service environment, adapting campaign plans, journeys and priorities in response to game updates, player behavior, business needs and emerging opportunities. Lean into automation and trigger-based messaging, spotting opportunities to scale our lifecycle programs. Collaborate with team to drive ‘Player Centricity’ through models, content and player insights to achieve 1:1 personalization at scale across the channel mix. Analyze campaigns and journeys to understand the performance of these activities and build on the results for the next iteration. Share these results back to the business with clear insights and opportunities. Collaborate on test and learn strategy to optimize campaigns; feeding all insights gained back into a continuous process of testing and refinement. Keep a pulse on the lifecycle marketing landscape, seek and understand emerging trends, technologies and innovation to provide ongoing learning for the marketing organization. What we’re looking for: Educated to degree level in a related field such as Business, Marketing and a strong academic record. 3+ years of proven experience in B2C marketing, customer lifecycle management, engagement marketing. Experience building Lifecycle Marketing program support for Live Service games is desirable. Highly organized - able to handle a full workload and progress multiple ambitious projects simultaneously thanks to your skill and work ethic. Passionate about the customer– you look at quantitative and qualitative consumer insights to make decisions and recommend improvements. Strong communicator who comfortable briefing Creatives, Analysts, Engineers, Legal and management. Strong analytical and quantitative skills with a consistent track record in data-based decision making. Innovative and constantly exploring new ways of doing things and challenging the status quo. Sophisticated communicator with excellent influencing skills. Experience in Salesforce Marketing Cloud, Journey Builder, and Interactive Studio or equivalent ESP. Excellent interpersonal skills with expertise and integrity that will earn respect and trust with internal team members and external vendors. Experienced in establishing relationships and operating compassionately across cultures. This includes collaborating openly and bringing together different perspectives to drive well-informed decisions. #LI-SV1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $95,800 — $143,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

SpAItial is looking for a Research Scientist 3D Reconstruction and Novel View Synthesis to advance and evaluate 3D reconstruction and view-synthesis methods.

Location: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As a Deputy General Counsel for Employment, you will be responsible for global employment matters reporting directly to the Global Head of Employment Legal, who is located in the US. You will work closely with other members of the Legal team and business leaders throughout the company, but especially with our global HR, finance, and compliance departments. The ideal candidate will be based out of our San Jose, California or New York office. The right candidate will have an understanding of and enthusiastic belief in the cryptocurrency/digital asset space, 9+ years of experience working on employment matters for a top law firm as well as in-house at a fast-paced, brand-name business. We are looking for a teammate with strong academic credentials and excellent analytical skills. The ideal candidate will have strong expertise and experience in advising business leaders to produce quick analyses of issues related to employment law and HR, including recruiting, hiring, immigration, internal investigations, employee relations and employment litigation and arbitration. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services. What You’ll Be Doing Supporting the business by managing and handling legal HR, employment, and recruiting matters for the company and its global affiliated entities, with a primary focus on supporting OKX group operations in the US and across the globe. Supporting our HR, finance, compliance and recruiting departments on a daily basis by providing legal advice and guidance on all employment matters affecting the company; Driving the strategy and managing employment litigation and arbitration matters and retaining and supervising outside counsel; Supporting HR and compliance by advising on internal investigations and interviewing employees; Working with other members of the Legal team and business partners on legal issues and matters touching on employee retention, payroll, executive compensation, benefits, performance management, and immigration and visa issues; Build and uplevel employment legal processes and infrastructure, moving the function from ad hoc support toward a structured, best-in-class practice. Partner directly with senior regional leadership to operationalize their strategic direction. What We Look For In You Attorney licensed to practice law in the US. 9+ years of experience at a top-tier law firm and/or in-house legal team working on international employment matters; Comfortable working independently in a fast-paced, growth-stage and multi-cultural environment; Ability to effectively advise and build trust with business teams; Ability to work in a high-functioning legal team and feel comfortable in a collaborative working environment; Experience working on cross-jurisdictional matters and a global legal team; Ability to translate complex legal concepts into practical and actionable business advice for non-legal audiences; Drafting, reviewing and negotiating offer letters, employment agreements, incentive plans and severance agreements. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,355 - $300,533 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As an Associate General Counsel for Employment, you will be responsible for global employment matters reporting directly to the Global Head of Employment Legal, who is located in the US. You will work closely with other members of the Legal team and business leaders throughout the company, but especially with our global HR, finance, and compliance departments. The ideal candidate will be based out of our San Jose, California or New York office. The right candidate will have an understanding of and enthusiastic belief in the cryptocurrency/digital asset space, 7+ years of experience working on employment matters for a top law firm as well as in-house at a fast-paced, brand-name business. We are looking for a teammate with strong academic credentials and excellent analytical skills. The ideal candidate will have strong expertise and experience in advising business leaders to produce quick analyses of issues related to employment law and HR, including recruiting, hiring, immigration, internal investigations, employee relations and employment litigation and arbitration. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services What You’ll Be Doing Supporting the business by managing and handling legal HR, employment, and recruiting matters for the company and its global affiliated entities, with a primary focus on supporting OKX group operations in the US and across the globe. Supporting our HR, finance, compliance and recruiting departments on a daily basis by providing legal advice and guidance on all employment matters affecting the company; Driving the strategy and managing employment litigation and arbitration matters and retaining and supervising outside counsel; Supporting HR and compliance by advising on internal investigations and interviewing employees; Working with other members of the Legal team and business partners on legal issues and matters touching on employee retention, payroll, executive compensation, benefits, performance management, and immigration and visa issues; Build and uplevel employment legal processes and infrastructure, moving the function from ad hoc support toward a structured, best-in-class practice. Partner directly with senior regional leadership to operationalize their strategic direction. What We Look For In You Attorney licensed to practice law in the US. 7+ years of experience at a top-tier law firm and/or in-house legal team working on international employment matters; Comfortable working independently in a fast-paced, growth-stage and multi-cultural environment; Ability to effectively advise and build trust with business teams; Ability to work in a high-functioning legal team and feel comfortable in a collaborative working environment; Experience working on cross-jurisdictional matters and a global legal team; Ability to translate complex legal concepts into practical and actionable business advice for non-legal audiences; Drafting, reviewing and negotiating offer letters, employment agreements, incentive plans and severance agreements. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $171,733 - $257,599 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. About the role Enterprise Business Systems (EBS) is EnerMech’s global transformation and technology function. It supports 25 legal entities across four regions and covers infrastructure, cybersecurity, application management, service desk support, transformation initiatives, and enterprise data and intelligence. As PMO Manager, you will be at the center of how EBS decides what to work on and how that work gets delivered. You will run demand intake and prioritization, give leadership a clear view of the portfolio and capacity, and keep our governance forums working well. You’ll do this while the function delivers major technology and data platform programs. Reporting to the VP Transformation & EBS, this is a hands-on role for someone who brings structure and rigor and still makes governance easy for the business to engage with. Key responsibilities: Demand management: Own the EBS demand management process. Make sure every business request is captured, assessed, prioritized, resourced and governed to delivery. Work with business and technology leaders to help them make prioritization decisions that weigh demand against capacity, strategy and operational need. Portfolio management: Keep a complete, accurate view of the EBS project portfolio, covering status, milestones, risks, budget, benefits and delivery performance. Lead portfolio health reviews that bring dependencies, resource constraints and delivery risks to the surface early and drive mitigation. Resource management: Plan and optimize resourcing across EBS teams, contractors and third-party partners. Support annual technology planning, budgeting and roadmap development with demand forecasting and capacity modelling. Application change management: Oversee the full lifecycle of application change requests and defects. Make sure changes are assessed, approved, controlled and implemented through governance. Coordinate with support partners, project managers and technical teams so that enhancements, releases and fixes are delivered on time. Governance: Run the EBS governance forums, including schedules, agendas, action logs, decision registers and communications. Work with project managers and sponsors so that business cases, benefits plans and investment proposals are robust and aligned to strategy. Reporting: Build and maintain portfolio, demand, capacity and performance dashboards that support decision-making. Prepare clear, high-quality papers and packs for the Technology Committee, Architecture Review Board, Change Advisory Board, Data Governance Council, Design Authorities and the EBS Leadership Team. Continuous improvement: Improve PMO processes, governance frameworks, reporting and portfolio practices to raise delivery performance and the experience of the stakeholders who use them. Requirements About you: You are an experienced PMO and portfolio management professional who has run governance and managed technology portfolios in complex, multi-entity or global organizations. You can bring order to competing priorities and are comfortable challenging diverse stakeholders constructively. Your reporting turns data into decisions. You are structured and disciplined, and you can adapt when priorities change. Requirements Essential Bachelor’s degree in Business, Information Systems or a related discipline, or equivalent experience Typically 7+ years in PMO, portfolio or project management roles, including 3+ years leading or managing a PMO within an IT function Hands-on experience running demand intake, triage and prioritization across both BAU and project work Experience managing change requests and defects for ERP or other business-critical systems, including working with third-party support partners Experience in resource and capacity planning across multiple teams A track record of producing reporting and papers for executive and steering committees Strong stakeholder management, communication and analytical skills A recognized project or portfolio management certification (e.g. PMP, MSP or P3O) Nice to have: ITIL 4 Foundation Agile or hybrid delivery experience (e.g. Scrum, SAFe, Kanban) Benefits Why Join EnerMech? At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Bangladesh; Brazil; India; Colombia; Egypt; Ghana About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Turkey; Nigeria; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Turkey; Nigeria; Kenya; Pakistan; Indonesia; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Nigeria; Turkey; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Madrid, Spain About the Company: Our client is a global education group bringing together a growing network of more than 20 schools across Europe, Asia and Latin America. The group operates physical schools offering education from kindergarten through to secondary education, combining international schools with local institutions while preserving their individual identities. They are building a global platform focused on supporting its schools, strengthening operational capabilities and driving sustainable growth. With its headquarters in Madrid, the group is expanding its central finance function to support its growing international portfolio and is looking for a Management Accountant to join its FP&A team. About the Role The Management Accountant will support the preparation and consolidation of monthly management accounts, analyse financial performance against budgets and forecasts, and ensure accurate, consistent reporting across the group's international school portfolio. OVERALL RESPONSIBILITY AND BUSINESS SUPPORT •    Support the central finance function through the group management accounts cycle, working as part of a small team being built from scratch. •    Report to the Head of FP&A, playing a central role in the preparation and review of the group’s monthly management accounts as the function continues to be built out. •    Build strong working relationships with school finance leads across the portfolio as a key contributor across the management reporting cycle, alongside significant exposure to the Madrid head office team. •    Help establish robust, well-documented management accounts processes, controls, and ways of working that can scale as the group grows, ensuring continuity and consistency as the team and portfolio expand. PREPARATION OF MANAGEMENT ACCOUNTS •    Prepare the consolidated monthly management accounts, including P&L, balance sheet, cash-flow and supporting schedules, drawing together submissions from across the school portfolio into a single group view. •    Apply agreed group conventions consistently, including FX rates, consolidation adjustments, and presentation formats, ensuring outputs are comparable across schools and over time. •    Prepare variance analysis comparing actuals to budget, forecast and prior periods, with clear commentary on the key drivers of movements for review by the Head of FP&A. •    Maintain clear, well-documented working files and supporting schedules for each reporting cycle, so that the basis for every figure in the management accounts is transparent and can be traced and understood. MONTH-END REVIEWS •    Carry out structured month-end reviews of school-level submissions, checking arithmetic accuracy, internal consistency, and alignment with group reporting conventions before consolidation. •    Identify and follow up on anomalies, unusual movements, or inconsistencies in school submissions, working with school finance leads to resolve queries ahead of the reporting deadline. •    Support the Head of FP&A in reviewing the consolidated management accounts prior to distribution, flagging any areas requiring further explanation or correction. •  Help embed a consistent month-end review checklist and timetable across the portfolio, contributing to its ongoing refinement, controls, and documentation as the function develops. DATA, SYSTEMS, AND INTEGRITY •    Own the integrity of management accounts outputs, including consolidation, reporting, and supporting files, ensuring formulas, links, and consolidation logic are accurate and free of errors. •    Take ownership and maintain clear, well-organised documentation of management accounts processes, templates, data conventions, and reporting logic, so that methodologies are transparent and repeatable across the team. •  Implement and maintain quality control checks across the management accounts and reporting outputs to ensure accuracy and consistency before submission to senior stakeholders. BUSINESS PARTNERING •    Act as the first point of contact for schools on any management accounts queries, providing timely and clear responses or escalating to the Head of FP&A where required. •    Work closely with the Financial Accountant and wider accounting team, who are responsible for the underlying statutory accounts that feed into the management accounts, ensuring a clear handover, shared understanding of account structures, and timely resolution of queries between the two functions. •    Support the Head of FP&A in preparing materials for the CFO and other senior stakeholders, ensuring outputs are accurate, well-documented, and clearly presented. Requirements CANDIDATE PROFILE •    Qualified accountant or finalist (ACCA, CIMA, or equivalent) with experience in a management accounting or financial reporting role, ideally in a multi-entity or international environment. •    Sound understanding of management accounting principles, including P&L, balance sheet and cash-flow preparation, variance analysis, and consolidation. •    Competent Excel skills, with experience working with templates and processes across multiple teams or entities. •    Conscientious, accurate, and comfortable taking ownership of deliverables under reporting deadlines, with a strong instinct for documentation and process. •    Confident communicator, able to work effectively with colleagues across finance functions and school finance leads. •    Full professional fluency in English is essential; additional languages relevant to the portfolio are an advantage. •    Experience in the K-12 or international schools sector is an advantage but not a prerequisite.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Cloud Platform Engineer An overview of this role As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services. What you’ll do Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle. Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments. Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection. Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability. Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity. Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements. Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows. What you’ll bring Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure. Experience with Argo CD or comparable GitOps tooling, such as Flux. Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design. Ability to write scripts and automation in Python, Bash, or Go. Familiarity with Helm for Kubernetes package management. Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts. Clear written and verbal communication, with the ability to document systems and collaborate across teams. Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications. About the team The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,000 — $194,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Role overview We are looking for a Senior Backend Engineer to help build and evolve our new Common case-management system, which powers support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across our backend services: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on role for someone who can turn ambiguous customer and operational problems into durable technical solutions, coordinate other engineers, and set the standard for reliability and craftsmanship on the team. What you’ll do Lead one or more project-level Case Management initiatives, on your own or by guiding a group of engineers, from discovery and design through rollout, measurement, and operational ownership. Design and build scalable backend services and APIs for case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own most technical decisions within your scope. Write project-level design documents covering how sub-features interact, identify dependencies and risks, and break work into parallelizable delivery plans. Scope ambiguous customer and operational problems, weigh long-term against short-term trade-offs, and design durable solutions. Partner with Product, Operations, Support, Data, and other engineering teams to define the right problems. Shape the team roadmap through prototypes, data analysis, project proposals, and backlog prioritization. Run the coordination a project needs, such as status updates and dependency tracking, and escalate early to keep delivery on time. Enforce team-wide quality objectives: lead design reviews, calibrate quality metrics, and improve logging, monitoring, alerting, and escalation policies. Serve as first responder or incident commander, model good incident practice, and turn what you learn into playbooks and backlog work. Introduce and guide AI best practices for the team, including evals, data privacy, and review of AI-generated code, and take part in AI-powered projects when they are central to the product. Design reusable, self-serviceable solutions, and consider cost efficiency, including compute and AI costs, in key designs. Mentor engineers through code reviews, design guidance, tech talks, and constructive feedback. Interview candidates, join sell calls, and take part in hiring events when the team needs them. Must-have qualifications Strong backend engineering experience, including designing and operating backend services, APIs, asynchronous workflows, and data models at meaningful scale. Proficiency in at least one modern backend language, and a record of writing exemplary code for the core functionality of key components. Demonstrated ownership of complex, customer-facing or operations-critical projects from technical design through production rollout. Experience breaking projects into parallelizable work, identifying dependencies and risks, and giving accurate estimates for yourself and others. Hands-on experience using AI development tools to improve productivity, while validating generated output for correctness, security, privacy, maintainability, and reliability. Strong product judgment: the ability to turn ambiguous workflows and user needs into simple, maintainable technical solutions. Proven ability to collaborate across functions, bring the right stakeholders into decisions at the right time, and explain trade-offs clearly to technical and non-technical audiences. Strong engineering craft: testing, code review, observability, incident response, security, and operational readiness, with experience designing for reliability. Comfort working on systems with high correctness and auditability requirements, including traceability of decisions and changes. A mentoring mindset and a record of raising team-wide engineering standards. Nice-to-have qualifications Go experience. Experience with migration from legacy systems, gradual rollouts, traffic shadowing, and feature-parity programs. Experience supporting internal tools or operational user interfaces from the backend side. Experience with high-volume, multi-region, or multi-tenant systems. Experience as an incident commander or in running an on-call rotation. Experience building AI-powered features, including evaluation of model output. What success looks like Delivers a major Case Management initiative with clear technical ownership, predictable execution, and measurable customer or business impact. Improves the reliability, maintainability, and cost efficiency of the Common system while enabling safe migration from legacy case-management systems. Helps move support traffic onto the Common system without reducing case-resolution quality. Builds solutions that other engineers and operators can confidently reuse and operate. Acts as a technical leader within the team: unblocks peers and partner teams, improves engineering decisions, influences the roadmap, and strengthens cross-functional execution. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is hiring its first dedicated Physical Security Lead to build and run the program that protects our people, our leaders, our events, and our offices. Our footprint now spans a multi-floor New York headquarters, Ramp-managed offices, and a growing set of hubs across North America and Europe. Our leaders are increasingly visible on public stages. You'll own three areas in roughly equal measure: executive protection, event security, and office security (access control, cameras, guards, and building security). Your job is to turn a set of strong vendors and partner teams into one measurable, risk-based program. This is a high-ownership IC role on the Corporate Security team. It reports to the Director of IT & Corporate Security and is based at our NYC HQ. This is a physical security role; cybersecurity and information security are owned by other Ramp security teams. We aren't looking for a guard supervisor or a box-checker. We want someone who makes it safe for Ramp to move fast, host great events, and keep our leaders accessible. WHAT YOU'LL DO - Build and run Ramp's executive protection program: - Protective risk assessments and residential security reviews. - Domestic and international travel security. - Advance work for high-visibility appearances. - Selecting, standing up, and managing our executive protection provider. - Turn threat intelligence into protective action. Partner with Detection & Response to move from online threat and exposure monitoring to threat assessments, personal-information exposure reduction, and clear escalation playbooks. - Own security for internal and external events, from all-hands and offsites to conferences, customer events, and executive dinners: - Risk-tiered intake and written security plans. - Coordination with venues and vendors. - On-site leadership for the highest-risk events. - After-action reviews. - Set Ramp's global physical security standards for access control, video surveillance, intercoms, visitor management, and alarm monitoring. Tier them for headquarters, Ramp-managed offices, and flexible or serviced hub spaces. - Build security into every new office, move, and expansion: - Write the security design requirements and review drawings. - Manage integrators through installation and acceptance testing. - Partner with IT on network and identity integration. - Manage the guard program and security vendors end to end: scope, post orders, SLAs and KPIs, budget, and quarterly business reviews. Own the security relationship with landlords and building management. - Lead emergency preparedness and physical incident response: - Emergency notifications, evacuation and shelter-in-place plans, and drills. - Liaison with local law enforcement. - Workplace-violence prevention, in partnership with People and Legal. - Run physical access governance with IT. Tie access to joiner/mover/leaver events, run regular access reviews, and keep audit-ready evidence for physical security controls. - Measure and report program health to leadership. Use AI and automation to scale the program without scaling headcount. WHAT YOU NEED - 6+ years in corporate or physical security, including 3+ years owning a security program or major workstream at a multi-site company. Executing someone else's program doesn't count toward this. - Hands-on depth in at least two of the three areas (executive protection, event security, physical security systems such as access control and cameras) and solid working knowledge of the third. - Experience administering or deploying enterprise access control and video platforms (e.g., Avigilon Alta/Openpath, Verkada, Genetec, LenelS2), and partnering with IT on networking and SSO. - A track record of managing security vendors (guard, protection, integrator, event staffing) through contracts, SLAs, budgets, and performance reviews. - Strong risk judgment. You size controls to the actual threat, explain the tradeoffs, and lead with "here's how we do this safely" rather than "no." - Excellent writing. You can produce a crisp SOP, an event security plan, and a one-page executive brief. - Willingness to work from our NYC office 4 days a week, travel 10–15%, support occasional evening and weekend events, and serve as primary on-call for physical security incidents (with the Director as backup and guard and vendor partners as on-site first response). - Real, day-to-day use of AI tools in your work. NICE-TO-HAVES - ASIS CPP or PSP; formal executive protection training; first aid or Stop the Bleed certification. - Experience at a high-growth tech, fintech, or financial services company with a high-profile founder or CEO. - Experience writing security design standards for office buildouts and reading architectural or low-voltage drawings. - Familiarity with physical and environmental control requirements in SOC 2, PCI DSS, or FedRAMP. - A government protective, law enforcement, or military background, combined with corporate program ownership. - An established network of protection, event security, and integrator vendors in NYC, SF, and internationally. FAIR WARNING - This is a builder role. Parts of the program exist today (vendors, a responsibility matrix, some SOPs). You'll turn them into a system. - You're an IC who directs vendors and partner teams, not a manager of a security staff. You'll need to influence Workplace, Events, IT, Executive Assistants, People, and Legal without formal authority. - Security at Ramp enables the business. Events still happen, offices stay welcoming, and executives stay accessible. Your job is to make that safe. - Evenings, weekends, and travel come with the territory, especially around major events. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice