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Location: Remote — North America (Aligned with U.S. Time Zones) Workplace: Remote COMPANY At 0x https://0x.org/, our mission is to "Create a Tokenized World Where All Forms of Value Can Flow Freely". We deliver this to web3 builders with a delightfully simple suite of developer APIs that provide faster trading, better prices, and superior user experience. Founded in 2017, we’ve processed over 211M+ transactions and $180B+ in trading volume from users trading on Matcha, Coinbase Wallet, Robinhood Wallet, Phantom, Rainbow, DefiLlama, MetaMask, Zerion, Zapper, and many more. Our investors include Greylock Partners, Pantera Capital, and Jump Crypto. When you join 0x, you’ll become part of a veteran team of crypto builders who know the importance of code quality, team cohesion, and a culture of learning. About the role We are looking for a Senior Brand Designer to help elevate the visual identity of two very different brands across every touchpoint: 0x https://0x.org/, our onchain routing infrastructure, and Matcha https://matcha.xyz/, our consumer DEX aggregator. Today, the biggest priorities are sales enablement, web design and social graphics, with about 90% of your time spent on 0x and 10% on Matcha. This is a senior, hands-on role for a designer who can move fluidly between high-craft visual design and the practical demands of a fast-moving marketing and sales function. As the only designer on our marketing team, you’ll play a key part in shaping how the 0x and Matcha brands look and feel. The role requires an overlap with US Pacific hours. What you’ll do - Evolve visual identity and brand guidelines for 0x. - Design and maintain a library of sales enablement assets: pitch decks, one-pagers, case studies, proposal templates and partner kits. - Design web pages, including landing pages, product pages, and comparison pages. - Design social graphics for both 0x and Matcha. - Design for campaign launches and major sales or industry moments, from concept through final assets. - Build brand and marketing templates and components that non-designers can use confidently across campaigns, social and sales materials. - Stay current on crypto, DeFi and fintech design trends. What you’ll bring - 4+ years of brand design experience, including at least 1 year in crypto, DeFi or emerging tech. - A portfolio of shipped brand work across web, social and sales materials. - A track record of shaping and extending a visual identity, not just working within one. - Strong typography and layout skills. - Expert-level Figma skills, including building reusable templates and components. - Fluency with AI design tools, and experience using them to raise both the speed and quality of your work. - Experience partnering closely with marketing and sales teams, translating business goals into design. - Excellent communication skills, with the ability to present and defend design decisions. - A bias for action: you get things done without waiting to be asked and adapt quickly as priorities shift. - Alignment with our core values https://0x.org/post/the-0x-mission-and-values: do the right thing, consistently ship, and focus on long-term impact. - Ability to attend annual in-person team offsites around the globe. Nice to have - Experience building pages in Webflow, plus basic HTML/CSS. - Experience taking a website redesign from concept to launch. - Illustration and basic motion design skills. - Experience designing for both B2B and B2C audiences. BENEFITS - The base salary range for this position is USD $120,000 - $180,000 + equity + ZRX tokens + benefits. Within the range, individual pay is determined by job-related skills, experience, location, business needs, and candidate preferences between the different compensation elements. - Comprehensive insurance (medical/dental/vision/life/disability) for U.S.-based employees — 100% of base plan covered for you and dependents - 401k and FSA for U.S.-based employees - Monthly mobile phone bill, wellness, and pre-tax transportation expense - Covered mental health benefits (included professional therapy sessions) - A supportive remote environment - Lunch reimbursement for all employees across the globe! - Stipend for your ideal remote / WFH set-up: headphones, and any other work gear you may need - 12-week paid parental leave - Great office conveniently located in the SF Financial District for those in the region! - Flexible vacation: Take time when you need it (and we really mean it!) 0x and its associated entities are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex (including those who are pregnant or have given birth), sexual orientation, gender, gender expression or identity, age, disability, medical condition, genetic information, military or veteran status, marital status, pregnancy, citizenship, national origin, immigration or citizenship status, political affiliation, or any other basis that is protected by applicable local, state, or federal laws. This includes not making such decisions based on the status itself, as well as any associations, perceptions, and assumptions made regarding these statuses. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws. Our commitment to equal employment opportunity extends to ensuring that all applicants and employees can perform to their fullest potential, including through obtaining reasonable accommodations when necessary.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. ABOUT THE ROLE Taxfix builds more products for more customer segments, faster than before. As Senior Product Marketing Manager, you are the go-to-market partner embedded into a product team, from the first discovery conversation to scaling. You’re not just handed a final product to talk about it. You bring customer, market and competitive evidence into the decisions that shape what gets built from day one: which segments to target, what features to prioritize, how to create Aha moments. You influence what the product does, how it wins and whether people will pay. You also build the systems that keep this work running: from automated competitor and customer insights generation, to agentic workflows that let product teams run smaller launches themselves at high quality. You work closely with Product, Engineering, Commercial, Growth Marketing and Paid Acquisition. WHAT YOU'LL DO - Taking one (or many) of our big bets to market. With high level of responsibility, autonomy and direct support from senior leaders and domain experts, you will help us launch assisted and AI-native experiences that customers truly love. - Bring the market into product decisions. Turn customer, market and competitive evidence into clear recommendations for the product team. Join discovery work and design sprints where market specifics shape what gets built. - Choose who to serve, and who not to. Break users and products down into needs, pains, and functional and emotional value. Define sharp ICPs and decide which segment to win first and later. - Position the product to win. Define the competitive alternatives, what makes the product different and why it wins. Turn that into a sharp messaging and shape the pricing and packaging inputs. - Run launches as tests. Run lean tests early, report what the measures show, and adapt the product, the positioning and the go-to-market. You gather evidence that improves our GTM decision quality, not tick off a launch checklist. - Align the people around the work. Bring structure to complex go-to-market work: clear owners, milestones, decision points and success measures. Facilitate decisions across Product, Engineering, Data, Growth and commercial teams. - Build the insight engine. Replace ad hoc research with automated flows of competitor and customer insight that product and marketing teams use every week. - Own part of the context system. Turn each go-to-market decision and artifact into governed context that empowers people and agents alike. - Build with AI. Build your own prototypes, applets and automations for the opportunities you prioritize, and help product teams self-serve lower-tier launches at quality. WHAT YOU'LL BRING - 5+ years of bringing tech products to market. You have successfully taken complex products or features from discovery to launch and adoption, in a fast-paced environment. - Data- and evidence-driven over opinion. You set clear targets, success definitions and guardrails. You analyze data and derive actionable next steps. When evidence contradicts the plan, you say so, including to senior stakeholders. - Customer insight and craft. You stay close enough to users to quote them. You turn what they said into why they behave as they do, and into a narrative people remember. - AI as a builder. You build agents, automated workflows, prototypes and context towards clear milestones or outcomes. - Communication and project leadership. You write and speak with precision, align several teams at once and keep many moving pieces on track. - High agency and curiosity. You find the problem and solve it without waiting to be told, and you carry it like an owner. - Bias for action. You prioritize speed of learning and progress over perfection. - English and German. You use German to write customer-facing messaging and English to work with the wider team. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Bangalore; Delhi, India; Mumbai; India - Remote Workplace: remote Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Staff Compiler Performance Engineer to set the technical direction for Falcon performance. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. You will decide where the next significant performance gains come from, lead the design of the optimizations that deliver them, and make sure the compiler architecture supports the product roadmap. You will be the senior technical voice on a distributed team of compiler experts and a key partner for runtime, GC and product teams. What You Will Do (aka Responsibilities) Define the performance strategy for Falcon: identify the largest opportunities across benchmarks and customer workloads and turn them into a technical roadmap Lead design of complex, cross cutting optimizations in the optimizer and code generator, and of the interfaces between the compiler, the runtime and the garbage collector Make architectural decisions on the Falcon optimization pipeline, compile time budget and tiering strategy Lead enablement of Falcon on new hardware platforms and new Azul products Mentor senior engineers, review critical designs and code, and set standards for performance methodology and validation Represent Azul in the LLVM community: drive upstream design discussions and contributions that benefit managed language compilers What You'll Bring (aka Experience, Skills) 8+ years of professional experience developing optimizing compilers or JIT compilers Track record of technical leadership: owning the design of major compiler components or optimization frameworks used in production Expert C++ skills and experience in large, long lived codebases Deep expertise in compiler optimization and code generation, with a clear view of the tradeoffs between peak performance, compile time, warmup and code size Expert performance analysis skills down to the microarchitecture level Nice to Have Recognized contributions to LLVM or another major compiler: code owner, maintainer or author of significant upstream work Deep experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar Experience working closely with runtime and GC teams on speculation, deoptimization and barrier design

Location: Bangalore; Delhi, India; Mumbai; India - Remote Workplace: remote Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Senior Compiler Performance Engineer to own major performance areas of Falcon. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. Your job is to push its generated code further, deciding which optimizations matter, designing them and delivering measurable speedups on real workloads. You will work in a distributed team of compiler experts, with direct influence on what Falcon optimizes next. What You Will Do (aka Responsibilities) Own performance of Falcon for a set of workloads or an optimization area end to end: analysis, design, implementation, validation Design and implement new optimizations and improve existing ones in the middle end and back end: inlining heuristics, loop optimizations, vectorization, escape analysis, speculation and deoptimization, GC barrier and runtime call optimization Drive code generation quality on x86_64 and AArch64, including bringing Falcon to new hardware platforms Investigate complex performance issues reported by customers and turn findings into compiler improvements Review code, mentor engineers on the team and raise the bar for performance methodology Contribute to upstream LLVM where it makes sense What You'll Bring (Experience, Skills) 5+ years of professional experience developing optimizing compilers or JIT compilers Strong C++ design and coding skills in large codebases Proven track record of delivering compiler optimizations with measurable performance impact Deep knowledge of compiler optimization theory and its practical tradeoffs: compile time, code size, correctness Strong performance analysis skills: profilers, hardware counters, reading and reasoning about generated assembly Nice to Have Significant experience with LLVM optimization passes or code generation; LLVM commit access is a plus Experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar Deep knowledge of x86_64 and/or AArch64 microarchitecture Experience with JVM internals: garbage collection, deoptimization, profiling PhD in Computer Science or significant research experience in compilers

Location: Bangalore; Delhi, India; Mumbai; India - Remote Workplace: remote Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Compiler Performance Engineer to make Falcon generate even faster code. This is not a compiler front end role and not a compiler built from scratch: the compiler exists, runs in production at large enterprises, and your job is to find where the generated code is slower than it should be and fix it in the optimizer and code generator. You will join a distributed team of compiler experts and work on real workloads with direct, measurable impact on customer performance. What You Will Do (aka Responsibilities) Analyze performance of Java benchmarks and customer workloads, find gaps in generated code and trace them to their root cause in the compiler Implement and improve optimizations in Falcon's middle end and back end: inlining, loop optimizations, vectorization, redundancy elimination, speculative optimizations and their interaction with the runtime Improve code generation for x86_64 and AArch64 Write tests and benchmarks that prove the improvement and protect it from regressions Contribute changes upstream to LLVM where it makes sense What You'll Bring (Experience, Skills) 2+ years of professional experience in compilers, JIT compilers or low level performance engineering Strong C++ design and coding skills Solid understanding of compiler optimization theory: SSA, data flow analysis, loop transformations Ability to read assembly and reason about why one instruction sequence is faster than another Very Nice to Have Experience with LLVM IR and LLVM optimization passes, or with another optimizing compiler such as HotSpot C2, Graal, GCC or V8 Experience with profilers such as perf, VTune or async profiler Knowledge of x86_64 and/or AArch64 microarchitecture Experience with Java, Scala or Kotlin, or with JVM internals MSc or PhD in Computer Science with a compiler or performance focus

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.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $230,000 — $300,000 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.

Location: Netherlands; Mexico; Israel; United Kingdom; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Silicon Physical Design Engineer to join us as part of our team. About the role Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what’s possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. Work Environment Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration. As a qualified expert, You will Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements. Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation. Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area. Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts. We’re looking for you if you have Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience with System on a Chip (SoC) cycles. Experience with advanced design, including clock/voltage domain crossing, DFT, and low power designs. Experience in high-performance, high-frequency, and low-power designs. Bonus Points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with scripting languages such as Perl, Python, or Tcl. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

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: Brazil Are you passionate about helping others build sustainable fitness habits? Join us as a Virtual Physical Fitness Trainer, guiding clients through short, goal-specific fitness engagements — all from the convenience of your own space. This is a flexible, freelance role: you set your own hours, making it a great complement to an existing job or private practice. Format at a glance Engagement type: Freelance, virtual-only, 1:1 (video + in-app chat) Session length: 30 or 60 minutes Session volume: Limited credits per presenting issue (per client's employer plan); extensions require a new, distinct goal Service model: Consultation & education — not physical therapy or medical treatment; not overseen by a medical department Client relationship: Short-term and goal-focused — expect healthy client rotation, not long-term retention Why to join us As part of our community, you'll collaborate with other fitness professionals to expand access to high-quality, structured fitness coaching. You'll help clients make real, focused progress within a defined engagement — and then move on to help the next client. What you'll do Provide 1:1 virtual fitness coaching through video sessions and in-app chat, working within each client's allotted credits. Conduct a baseline assessment (PAR-Q, fitness/injury history, and GP clearance for relevant chronic conditions) before building any plan. Design personalized or templated workout programs tailored to the client's goals, fitness level, and equipment access. Educate clients on strength, cardio, flexibility, and recovery principles, and cue proper form via live video. Track progress and close out each presenting issue with a clear outcome before starting a new one. Tag each session with the single Main PI that best matches the client's focus, plus up to three Secondary PIs, per the Q3 2026 PI taxonomy (see the Holistics PI Manual). Recognize when a client's needs go beyond fitness coaching and refer to the appropriate licensed professional or Intellect service. Respond to in-app chat within the 12-hour SLA and complete session notes within 24 hours. What's in scope Personalized/templated training plans and virtual fitness assessments. Live-session coaching, form cues, and technique demonstrations. Progress tracking, goal setting, and motivation/adherence support. General education on warm-up, cool-down, recovery, sleep, and hydration. What's out of scope Diagnosing or treating any injury, illness, or chronic condition. Physical therapy, rehab protocols, or “corrective” treatment. Recommending or prescribing supplements or performance-enhancing substances. Meal plans or specific dietary prescriptions (refer to Nutrition). Counselling on disordered eating or mental health concerns (refer to Intellect's mental health professionals). Promising specific outcomes, timelines, or guaranteed results. Requirements Proven experience as a personal trainer / fitness coach (typically 5+ years of active practice). Bachelor's in Exercise Science, Kinesiology, or related field, plus a recognized certification (e.g., ACE / NASM / NCSF / NSCA / ACSM / NESTA / ISSA), current or renewal in progress. Strong communication in English and local language; able to simplify concepts for non-experts. Language: Must speak Portuguese. Comfortable working within a structured, credit-based consultation model — even if your background involved longer-term or clinical care. Clear judgment about when to refer a client out, and willingness to do so even when it means the engagement ends. Tech-savvy: video conferencing, fitness-tracking tools, comfortable documenting session notes on a platform. PLEASE ATTACH AN ENGLISH VERSION RESUME Benefits Flexible hours and remote work from anywhere. The opportunity to make a focused, meaningful impact for a steady rotation of clients. A collaborative, mission-driven community of wellbeing professionals. Freedom to innovate and bring your unique expertise to our growing platform

Location: Austria; Switzerland; Spain; Portugal; Germany; Serbia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B sectors, including FinTech, HealthTech, and Manufacturing. With over 13 years of experience, the team serves ambitious mid-market and enterprise brands across the UK, Europe, and North America. They empower global businesses to scale revenue through a consultative, data-driven methodology that blends expert human outreach with a cutting-edge sales technology stack. The team operates with a mission to transform stagnant pipelines into sustainable growth, utilizing native-language experts to bridge international markets. Driven by a culture of continuous development and performance-based results, they prioritize high-level C-suite engagement and measurable ROI. Candidates will join an environment that combines start-up energy with enterprise-level maturity, focusing on innovation, professional sales skills, and a "selling at a higher level" mindset to solve complex acquisition challenges for world-class brands. Job Summary Are you a fluent German speaker with a passion for driving high-level business growth? This is an opportunity to join a well-established leader in the outsourced sales sector with over 15 years of proven success. You will act as a strategic partner for clients, identifying new business opportunities and opening doors within complex industries. If you are a driven professional looking to master the art of sales development within a highly structured and supportive environment, this role offers the perfect platform for your career to thrive. Key Responsibilities Conduct high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers. Research and identify new business opportunities within the German-speaking (DACH) region. Secure a minimum of 10 qualified outbound opportunities per month to fuel the sales pipeline. Maintain meticulous records and manage your lead pipeline using Salesforce. Collaborate with internal teams to refine messaging and optimize sales methodologies. Requirements Native or professional fluency in German (both written and verbal). High level of English proficiency. A minimum of 2 years of experience in B2B sales or a dedicated SDR role. Proven ability to thrive in a target-driven environment. Strong communication skills and a professional phone manner. Ability to work UK/EU business hours (9:00 AM – 5:00 PM). Nice-to-Haves Prior experience selling within the Manufacturing or Engineering sectors. Familiarity with the Salesforce ecosystem. Experience working within an agency or outsourced sales environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: São Paulo, Brazil We are hiring in Brazil! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a Senior System Analyst to join our team and work on a complex fintech project for a leading global financial services infrastructure provider. You'll contribute to the development and enhancement of a flexible asset tokenization platform with robust smart contract capabilities. You’ll work at the intersection of business analysis and system analysis, collaborating closely with business stakeholders, software engineers, and data engineering teams to understand requirements and define effective solutions. 🟩 What's in it for you: Work on a complex project for a renowned regtech and fintech company developing blockchain-based infrastructure for financial institutions Gain hands-on experience working with data and modern data architecture Deepen your expertise in both business and system analysis while sharing knowledge and developing new skills within Dev.Pro’s BAO community ✅ Is that you? 5+ years of experience in a Business Analyst role Strong technical background with solid experience in system analysis Experience working closely with data engineering teams Understanding of data architecture concepts, including data lakes and data warehouses Hands-on experience writing SQL queries for data analysis and investigation Experience analyzing, documenting, managing, and prioritizing business and system requirements Strong understanding of Business Analysis practices, SDLC, and Agile methodologies Strong analytical and problem-solving skills High level of autonomy and proactivity Strong communication and collaboration skills, with the ability to effectively manage challenging stakeholder relationships Upper-Intermediate+ English level Desirable: Experience in fintech or financial services Experience with blockchain projects Experience working in international, distributed teams 🧩 Key responsibilities and your contribution In this role, you'll use your knowledge and skills to improve the efficiency and accuracy of the development process, enhancing the overall quality and effectiveness of the team’s blockchain projects. Set up and enhance the process of requirement gathering, analysis, and documentation, ensuring clear and standards-compliant project specifications Act as the main point of communication with product stakeholders, assisting in feature prioritization and managing requested changes Serve as a proxy product owner, representing stakeholders and ensuring seamless communication with the development team Facilitate Scrum events, ensuring their productivity for effective collaboration and promptly resolving/escalating blockers Create and maintain relevant project-related documentation, including visualizing developed solution workflows through diagrams Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a talented and motivated Senior Full-Stack Engineer with strong expertise in TypeScript and modern web application development to join our team. The purpose of the Full-Stack Engineer role is to drive the technical execution and feature development for Digital Menu Board solutions for Quick Service Restaurant (QSR) clients. This role aims to deliver high-quality Content Management System (CMS) features for QSR Clients by leveraging deep expertise in TypeScript, cloud infrastructure, and object-oriented programming. This Engineer will play a pivotal role in building a reliable, future-proof solutions while fostering a culture of collaboration, technical excellence, and proactive knowledge sharing across the development team. 🟩 What's in it for you: Build innovative Digital Menu Board solutions used by large QSR brands Work with a modern technology stack including TypeScript, NestJS, Express, Angular/React/Svelte, and cloud-native infrastructure Influence architecture, engineering standards, and platform scalability Collaborate with cross-functional teams to deliver reliable, future-proof solutions Share knowledge and mentor team members while helping drive engineering excellence ✅ Is that you? Extensive experience developing applications using TypeScript and object-oriented programming principles Strong backend development experience with frameworks such as NestJS and Express Frontend expertise in at least one modern framework: Angular, React, or Svelte Experience with dependency injection patterns and libraries such as tsyringe Experience working with cloud-based infrastructure and distributed applications Strong communication and collaboration skills in an agile development environment Desirable: Experience with AWS cloud services and infrastructure Experience building or extending Content Management Systems (CMS) Knowledge of Digital Signage platforms or restaurant technology solutions Experience contributing to architecture decisions and technical standards Familiarity with other frameworks (Angular, Svelte) as a plus 🧩 Key responsibilities and your contribution In this role, you'll contribute to the continued growth and evolution of our Digital Menu Board platform by delivering scalable features, supporting cloud infrastructure initiatives, and collaborating closely with cross-functional teams. Design, develop, and maintain scalable Digital Menu Board features and services for enterprise QSR clients Collaborate with engineers, DevOps teams, and stakeholders to deliver high-quality solutions Participate in code reviews and promote engineering best practices to maintain high development standards Create and maintain technical documentation, coding standards, and development guidelines Support cloud infrastructure deployments and platform scalability initiatives in partnership with DevOps teams Mentor and support team members through knowledge sharing and technical guidance Continuously identify opportunities to improve system performance, reliability, and maintainability Contribute to architecture discussions and technical decision-making for future platform enhancements Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: New York, United States; Charleston, United States; Charlotte, United States; Dallas, United States; Miami, United States Crystalia Glass is seeking an experienced, high-energy, and strategic Head of Sales to spearhead sustainable revenue growth and expand our market presence in the U.S. We are looking for a growth-oriented builder rather than a maintainer—a commercial leader with a proven track record of driving business expansion, developing new market segments, scaling operations, implementing strict CRM discipline, and winning complex, high-ticket sales cycles. The ideal candidate comes from physical, custom, or manufactured product industries with long sales cycles and deep familiarity with the U.S. construction ecosystem, including commercial construction, Union environments, and public-sector bidding. Responsibilities : Business Scaling & Revenue Growth: Develop and execute a comprehensive sales strategy focused on building and expanding the business, capturing new market opportunities. Core Market Focus: Drive high-ticket revenue growth with a primary focus on B2B clients, and dealer networks , commercial BID projects and Union projects (Secondary focus: B2G). Team Leadership & Structure: Architect, develop, and lead high-performing sales teams. Manage sales managers, fostering a culture of accountability, high engagement, and professional growth. Operational Excellence & Analytics: Establish and enforce strict CRM discipline (we use HubSpot). Build, monitor, and analyze sales reports to optimize the sales funnel. End-to-End Sales Management: Oversee the full sales cycle, strictly controlling and optimizing critical metrics, including: Pipeline & Forecast Accuracy Conversion Rates & Sales Cycle / Lead Response Time Discounting & Margin Control CAC (Customer Acquisition Cost) / Cost of Sales Performance by Team / by Channel Quote / Estimate Process Cross-Functional Collaboration: Partner with marketing (experience in marketing is a strong plus), project managers, and estimating teams to ensure smooth execution, accurate quoting, and high client satisfaction. Requirements Experience: 7-10+ years of total experience in sales. 3–5+ years in a sales leadership role (managing teams and other managers). Proven experience managing sales volumes of $75M+ . Industry Background: Strong background in any one of the following areas: custom construction, architectural products, building materials, windows & doors, commercial interiors, remodeling, millwork, cabinetry, stone, flooring, manufacturing, or installation. Sales Profile: Expert knowledge in B2B sales, dealer networks, and tenders/bidding processes (primary focus). Experience with government contracts is a plus. Product Type: Proven track record in physical, custom, or high-ticket products with a long sales cycle, involving manufacturing and/or installation. Skills & Attributes: Data-driven mindset with advanced experience in CRM management, forecasting, and reporting. Unrivaled negotiation, strategic planning, and margin control skills. Exceptional leadership skills. Benefits Competitive base salary + performance-based bonuses. On-site role, Monday to Friday, 8:30 AM – 5:00 PM. Complete ownership of the sales strategy and a chance to lead business expansion in a fast-growing U.S. company. Opportunity to make a tangible, high-impact contribution to the business.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with upside as we scale - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.