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Location: Hong Kong, Hong Kong SAR 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education : Bachelor’s degree or above in Computer Science, Software Engineering, or a related field. Work Experience : 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search/recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills : Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills : Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong #LI-MX1 #LI-ONSITE 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, USA; San Francisco Bay Area, USA; Los Angeles, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ROLE OVERVIEW Higgsfield AI is looking for a highly commercial, product-minded Senior Account Executive to help scale our product-led growth and enterprise expansion motion during a period of hypergrowth. This role sits at the intersection of Product, Revenue, Customer Success, and Growth, helping convert product adoption into long-term commercial expansion across strategic accounts. You will work directly with customers already engaging with the platform to drive activation, increase product consumption, grow contract value, and identify new revenue opportunities. We are specifically looking for someone who understands how modern PLG and usage-based software companies grow — especially within AI, GenAI, API, infrastructure, creator tooling, or credit-based product environments where expansion is driven by product usage, adoption, and customer outcomes. The ideal candidate has experience working at a PLG-first company, a usage-based SaaS business, or a credit-based GenAI platform where revenue growth came from expanding existing customer relationships, increasing usage, and turning power users into enterprise accounts. This is a highly cross-functional role that requires strong customer instincts, operational rigor, and comfort operating in a fast-moving startup environment. KEY RESPONSIBILITIES PRODUCT-LED REVENUE GROWTH - Own commercial growth across strategic accounts, with a focus on increasing usage, expanding contracts, and growing long-term account value. - Partner with customers already engaging with the platform to drive activation, retention, and expansion. - Identify opportunities for increased product adoption across teams, workflows, and use cases. - Structure pilots, proofs of concept, renewals, and expansion opportunities. - Translate customer usage signals into actionable revenue opportunities. CUSTOMER ENGAGEMENT & SOLUTIONS - Lead customer discovery conversations to understand workflows, pain points, and business goals. - Demo and iterate with customers directly in the product. - Translate AI/GenAI capabilities into clear business value and ROI-driven outcomes. - Act as a trusted advisor to customers across creative, marketing, growth, and operational teams. GTM STRATEGY & SCALE - Help refine Higgsfield’s enterprise GTM motion as the company scales. - Partner cross-functionally with Product, Engineering, Marketing, and Leadership teams. - Surface customer insights, product feedback, and market trends to improve adoption and expansion. - Bring operational structure to account management, forecasting, and revenue tracking. KNOWLEDGE, SKILLS, AND QUALIFICATIONS - 8+ years of experience in GTM, account management, growth, customer success, enterprise sales, or solutions engineering roles. - Strong track record of growing customer contracts within SaaS, PLG, usage-based, or AI-native companies. - Experience at a PLG-first, API-first, or credit-based GenAI company strongly preferred. - Experience managing expansion motions tied to product usage, credits, seats, or workflow adoption. - Strong customer discovery, presentation, negotiation, and closing skills. - Ability to communicate complex AI products to both technical and non-technical stakeholders. - Highly operational and comfortable working cross-functionally in fast-paced startup environments. - Strong analytical mindset with the ability to leverage usage data and customer insights to drive growth. COMPENSATION & BENEFITS Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $125,000 - $220,000 depending on experience, skills, scope, and location. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a fully remote role in NY or LA with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. If you are based in San Francisco, it is a hybrid role. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

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 fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US and Canada — we also have offices in NYC, San Francisco, and Seattle We are growing our commercial team and looking for growth-minded leaders who are passionate about the future of AI and content creation. As our first leader within Sales Development, you will build and scale our founding BDR organization. This role is equal parts people leadership and systems building. You’ll directly manage and develop our early BDR team (currently two people) while building the infrastructure, processes, and outbound strategies that define the future of prospecting at Runway. We’re not looking to replicate traditional SDR playbooks — we want someone excited to rethink sales development through AI-powered workflows, automation, product signals, and highly personalized outreach, while helping shape how Runway wins in the enterprise market. WHAT YOU’LL DO - Lead, mentor, and grow Runway’s founding BDR team, creating a high-performance culture centered around curiosity, experimentation, and continuous improvement - Build the systems, processes, and infrastructure that power a modern AI-first sales development organization - Define how AI tooling, automation, and human creativity work together across outbound prospecting, research, personalization, and pipeline generation - Turn product usage signals, API activity, and inbound demand into scalable enterprise opportunity generation workflows - Develop highly targeted, vertical-specific outbound motions aligned to Runway’s evolving use cases and customer needs - Continuously test and refine messaging, sequencing, workflows, and enablement programs to improve team effectiveness - Partner closely with Sales, Marketing, Creative, and RevOps to shape ICP strategy, lead routing, and overall GTM execution - Work alongside sales leadership to help define and scale Runway’s enterprise sales motion WHAT YOU’LL NEED - 5+ years of experience in sales, growth, or GTM leadership roles - Experience managing and developing high-performing SDR/ BDR teams - Strong systems-thinking mindset with experience building outbound processes and operational infrastructure from the ground up - Deep interest in AI-native workflows and a strong point of view on how AI will reshape modern prospecting and sales development - Experience operating in product-led, usage-based, or highly technical GTM environments - Highly analytical and data-driven, with the ability to use insights to drive strategy and execution - Comfortable operating in fast-moving, ambiguous environments and excited to experiment and iterate quickly - Strong communicator and cross-functional collaborator with a builder mentality Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones). You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures integrating text, images, and audio, all optimized for tool augmented decision making. We expect you to have deep expertise in large language model architectures and substantial experience in post-training for agentic workflows, including tool use fine tuning, function calling, and reinforcement learning from feedback on multi turn interactions. You will adopt a hands-on, research driven approach to developing, testing, and implementing new post-training algorithms that unlock goal directed behavior, self correction, and reliable tool invocation. Your responsibilities include curating agentic training data (e.g., trajectories of tool use, reasoning chains, environment interactions), strengthening baseline performance, and identifying as well as resolving bottlenecks in post-training for tool augmented agents to achieve SOTA model quality. The goal is to build models that do not just know but also act, use tools, and adapt, pushing the limits of what agentic AI can achieve. Responsibilities Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results. Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration. Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure. Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment. Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training. Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models. Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases. Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences. Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use. Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments). Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results. Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face. Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Hong Kong; Singapore About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place. Position Summary This is a high-growth seat for an early-career sales professional looking to build a career in institutional digital assets. You will work alongside our VPs across the Hex Safe client portfolio, while also owning a book of smaller and mid-sized accounts directly. The role is hands-on from day one: pipeline support, client coverage, deal execution, and event-driven origination. You will get exposure to the full institutional crypto stack: custody, WaaS, staking, tokenization and the senior relationships that come with it. We expect the person in this seat to grow quickly into a quota-carrying Institutional Sales Manager. Duties & Responsibilities Support VPs and Senior Institutional sales members across the full sales cycle: prospecting, qualification, deal managing, onboarding coordination, and day to day ongoing client coverage. Own a portfolio of smaller and mid-sized institutional clients directly to drive trading/client activation, retention, and grow wallet share. Prepare client-facing materials: pitch decks, commercial proposals, RFP responses, account plans, and follow-up notes. Maintain pipeline hygiene and HubSpot CRM accuracy; produce weekly pipeline, activity, and revenue reporting for the team. Coordinate cross-functionally with product, client operations, compliance, and legal to move deals through onboarding. Attend industry conferences, networking events, and client meetings to build a personal network and source new opportunities. Track market intelligence, competitor moves, and client signal; feed insights back to product, marketing, and leadership. Requirements Minimum 1 year of relevant experience in sales, business development, client coverage, or a comparable client-facing role at a financial institution, crypto firm, or fintech. No fresh graduates. Solid grounding in crypto and traditional finance concepts. Comfortable discussing custody, wallets, staking, tokenization, and institutional workflows with clients. Highly comfortable with AI tools (Claude or similar) and Google Workspace; able to use both to move faster on administrative tasks, outreach, and deliverables. Strong written and verbal communication in English. Fluency in Mandarin is required. Willing and motivated to attend conferences, industry events, and networking functions to build relationships and generate pipeline. Highly organized, detail-oriented, and self-driven; thrives in a fast-paced, high-stakes environment with senior stakeholders. Hong Kong-based; full-time position. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: San Francisco; Austin; New York City Workplace: Hybrid Perplexity is looking for a Scaled Enterprise Customer Success Manager to join our Enterprise team. In this role, you'll be responsible for driving onboarding, adoption, retention, and expansion across a high-volume book of SMB and Mid-Market customers. The ideal candidate has a strong foundation in Customer Success or Account Management within a scaling technology company, with the ability to use data, repeatable programs, and sharp customer judgment to create impact across many accounts. You will work closely with members of the Enterprise, Sales, Product, Support, and Marketing teams to help customers realize value from Perplexity at scale. This role requires strong communication, operational discipline, comfort with ambiguity, and a proactive "can-do" attitude. Your success will play a crucial role in expanding Perplexity's enterprise customer base, identifying conversion opportunities from self-serve customers, and helping build the next generation of scaled customer success motions. Responsibilities - Execute the scaled Enterprise customer success strategy developed by leadership - Manage a high-volume portfolio of SMB and Mid-Market customers through a lower-touch, data-informed engagement model - Serve as a point of contact for customers across onboarding, adoption, value realization, renewal, and expansion moments - Drive initial enablement through repeatable onboarding programs, training sessions, office hours, webinars, and digital content - Monitor customer health, usage trends, and engagement signals to prioritize outreach and identify risks or growth opportunities - Identify self-serve customers with strong usage, business fit, or expansion potential and support conversion opportunities into Enterprise - Partner with Sales and Account Management to surface expansion, upgrade, and renewal opportunities across scaled accounts - Help customers quantify value delivered by Perplexity through usage insights, adoption milestones, and business outcomes - Advocate for customer needs and collaborate with cross-functional teams to improve product experience, enablement materials, support processes, and scaled CS playbooks - Track and report on key performance indicators, analyze data to identify trends, and recommend improvements to scaled engagement programs Qualifications - 3+ years of experience in Customer Success, Account Management, Sales, or related customer-facing roles at scaling technology companies - Experience supporting SMB, Mid-Market, or high-volume customer segments, ideally in a SaaS or AI/productivity tooling environment - Strong customer judgment with the ability to balance personalized engagement and scalable program execution - Proven ability to drive adoption, retention, and growth across a book of business - Excellent written and verbal communication skills, with the ability to clearly explain value to business and technical stakeholders - Comfortable using data to prioritize outreach, diagnose account health, identify product usage trends, and uncover expansion signals - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives - Ability to work under pressure, thriving in demanding environments - Ability to work independently and as part of a collaborative team - Proficiency in CRM systems, customer success platforms, analytics tools, and customer engagement workflows

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It’s composed of mostly senior Software Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product. ROLE We’re looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will: - Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality. - Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets. - Build data collection and transformation pipelines, and actionable dashboards. - Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts. - Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly. - Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes PROFILE - You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech industry. - You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets. - You have solid experience in ETL development. - You have solid experience with DBT. - You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments. - Advanced knowledge of statistical tools and models will be considered a significant advantage. - Development skills, particularly in Python, will be considered a significant advantage - You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results. - You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas. - A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role. OUR STACK - DBT; Tableau; SQL; Athena; Spark; Python BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: UK, London 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 We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence. This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively. KEY RESPONSIBILITIES 1. TEST METHOD DEFINITION - Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture. - Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response. - Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior. 2. HANDS-ON TEST EXECUTION - Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team. - Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes. - Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust. 3. AUTOMATION SUPPORT - Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why. - Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work. - Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline. 4. PRODUCTION TEST — IN PARTNERSHIP WITH MANUFACTURING ENGINEERING AND PRODUCTION OPS - Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify. - In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures. - Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history. - System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line. 5. QUALITY & DESIGN FEEDBACK LOOP — IN PARTNERSHIP WITH SUPPLY CHAIN QUALITY AND PRODUCTION OPS QUALITY - Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process. - Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering. - Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process. QUALIFICATIONS Must-Have: - Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar. - Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions. - Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics. - Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity. - Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work. - Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar). - Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership. - Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level. Nice-to-Have: - Robotics experience, especially with serial-link manipulators or legged systems. - Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements. - Python (or similar) for ad-hoc data analysis and lightweight test automation. - CAD (SolidWorks/Fusion/NX) for sketching test fixtures. - Familiarity with ROS2. - Experience with embedded systems and field buses such as CAN or EtherCAT. - Experience with industrial automation equipment (servos, gateways, sensors, PLCs). - Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation. WHAT YOU'LL BE TESTING - Actuators (motors, gearboxes, encoders, drivers) - Robot manipulators and end-effectors - Legged subsystems and balance behaviors - Power and battery systems - Full humanoid robot assemblies

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Strategy Lead at OnePay, you'll act as a right hand to leadership - helping define where we should play and why. You'll spot where the industry is going, translate that into clear business and product priorities, and build the frameworks that guide what we build, buy, or partner for. If you're someone who has strong instincts about the future of fintech and the ability to turn ambiguity into crisp strategic direction, this role is built for that. You will: - Spot where fintech, AI, and consumer behavior are headed - and turn that into concrete strategic bets and product priorities, and shape them into clear testable experiments - Develop evaluation frameworks, build business cases / financial modeling, and define the prioritization criteria that determine what OnePay builds, buys, or partners for - Create clear, compelling narratives for leadership, including board-level work - Own competitive intelligence - synthesize trends, competitor moves and regulatory signals into strategic recommendations for the executive team - Lead high visibility strategic initiatives end-to-end, including scoping, execution and measuremen, coordinating across cross functional teams - Help position OnePay externally through industry POVs, research, and key conversations - Use AI aggressively to move faster, think broader, and produce high-quality output YOU BRING - 7–10+ years of experience across consulting, product / corporate strategy, or venture capital; with at least 3-4 years in fintech, AI or consumer tech - Consulting background (Bain, BCG, McKinsey, or similar) - Strong product intuition - you can evaluate ideas critically and frame clear go/no-go recommendations - Experience advising on or defining strategy for 0→1 products - not necessarily building them - A clear point of view on where fintech is going - Excellent problem structuring and communication skills - High ownership and comfort operating in fast-moving, constantly changing environments WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE   We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands.   A Senior Product Manager owns a meaningful surface of ClickUp and is accountable for whether it gets better. You decide what to build and why, then go build a working version of it. You prototype in Cursor and Claude when an idea is faster shown than written. You live in the data and the customer signal, and the time between spotting a problem and having something people can react to is measured in days, not weeks. The PMs who compound the most impact at this level are the ones who keep finding leverage that did not exist last quarter.   KEY RESPONSIBILITIES   - Own the vision, roadmap, and delivery for a defined product surface, balancing near-term wins with longer-horizon investments. - Run continuous discovery. Building and using agents to monitor and synthesize that part of your job. - Write sharp PRDs and specs that give engineering and design what they need to move fast without ambiguity. - Define success metrics before you build, track them after you ship, and iterate when outcomes do not match expectations. - Prototype your own ideas using Cursor, Claude Code, and our Prototype Playground. Show the concept before filing the ticket. - Collaborate cross-functionally with engineering, design, analytics, and GTM without needing to be managed through the process. - Present your roadmap and results clearly to stakeholders and leadership, and update them when direction changes. - Spot friction in how the team operates and suggest concrete improvements.   QUALIFICATIONS   - 5 or more years in product management with demonstrated end-to-end ownership of a product area in a B2B SaaS environment. - Proven track record of shipping. You have taken features from concept through launch and iterated based on data. - Strong prioritization instincts. You know how to say no and can defend it. - High customer empathy and the ability to separate what users say from what they actually need. - Comfortable with data. You define your own metrics, query dashboards, and make arguments from numbers. - Clear written and verbal communicator. Your specs and strategy docs create alignment without requiring a follow-up meeting. - Comfortable with ambiguity and a fast pace. You do not wait to be told what to do. - Hands-on with AI tools. You already use them and are always looking for new ways to get more out of them.   AI PROFICIENCY   - Generate artifacts that accelerate alignment. Leverage AI to draft PRDs, map user flows, validate product launch readiness, synthesize research and customer feedback, produce competitive analyses, and write release notes. - Prototype and iterate with AI coding tools. Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code. - QA your own work. Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced. - Stay current and apply it. Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote; United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT CLICKUP   At ClickUp, we're not just building software. We're architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That's why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you'll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that's redefining what's possible!   ABOUT THE ROLE   We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands.   A Principal Product Manager shapes high level strategy and product direction at the company level. You make the calls on the hardest product questions we face. Where the converged workspace is going, what AI for work actually looks like in three years, which bets matter. You build to show your thinking, not just describe it, and the argument is stronger when you have already put the idea on screen. You pull together data, customer escalations, support trends, and usage patterns and bring clarity on where we are winning and where to push next. The ways you find to move faster become how PMs across the company work. The stronger your craft, the more your strategy lands.   KEY RESPONSIBILITIES   - Shape ClickUp's product direction at the company level. Own the hardest, most consequential product questions we face and drive them to resolution. - Define where the converged workspace is going and what AI for work looks like over a multi-year horizon. Hold that picture and make it legible to everyone else. - Build to prove the point. Prototype the future you are arguing for so the strategy is concrete, not theoretical. - Synthesize data, customer escalations, usage trends, and market signals into a coherent picture of where we are winning and where we need to move. - Set the standard for how PMs across the function work. The patterns you invent for compressing your loop become how the whole PM team operates. - Advise and inform executive leadership on product strategy, major bets, and where the company should and should not invest. - Represent ClickUp externally on product vision when relevant, including with key customers, analysts, and the broader product community. - Identify the gaps in our product thinking and build the frameworks that close them.   QUALIFICATIONS   - 8-10+ years in product management, with a clear record of operating at company-shaping scope in a high-growth B2B SaaS environment. - Deep experience owning the most ambiguous and consequential product decisions, the ones with no obvious answer and real stakes. - Exceptional ability to synthesize competing inputs, customer signals, business constraints, and technical realities into a clear direction. - Demonstrated ability to build and evangelize a product vision that earns trust across engineering, design, and executive leadership. - History of raising the craft of the PMs around you, not just delivering your own output. - Fluent in data. You define the metrics that matter at the company level and you know when the data is incomplete or misleading. - Deep command of AI tooling. You are not experimenting with it, you are building with it and setting the example for the function. - Outstanding written and verbal communicator. You can make a hard argument simply and land it with any audience.   AI PROFICIENCY   - Generate artifacts that accelerate alignment. Leverage AI to draft PRDs, map user flows, validate product launch readiness, synthesize research and customer feedback, produce competitive analyses, and write release notes. - Prototype and iterate with AI coding tools. Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code. - QA your own work. Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced. - Stay current and apply it. Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Americas Remote Hi, I'm Brian, Senior Director of Engineering at Customer.io. We're looking for experienced engineers who want to own a channel end to end — from the infrastructure that delivers billions of messages reliably, to the product surfaces our customers use to build, send, and analyze their campaigns. You'll work across the stack, bringing both systems thinking and product craft to one of the most technically rich problem spaces in the industry. You don't need email experience to apply. We can teach you the email domain. The engineers who thrive here are the ones who love learning a deep problem space, not only the ones who arrive already knowing it. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership You own problems end to end. You move fast, act like an owner, and thrive in ambiguity. You've led complex projects before, whether officially or not, and you're ready to do it again. Engineers with product taste You think like a user, not just an engineer. You care how your systems power real customer value — and how to make them better. A healthy skepticism for "the way things are done" You bring rigor and creativity. Best practices matter — but never more than forward motion. What You'll Do Build and evolve the frontend experiences customers use to create, preview, and analyze campaigns — editors, configuration, and analytics dashboards Design and scale backend systems that process high volumes of messages and events: queue management, retry logic, rate limiting, and real-time event pipelines Build automated systems that respond intelligently to feedback signals from external providers — classification, suppression, throttling, and health scoring Partner with in-house domain experts to turn their knowledge into automated tooling — you bring the systems skills, they bring the email depth Instrument and monitor channel health end to end: signal detection, anomaly alerting, and observability Own problems end to end — from architecture and schema design to testing, deployment, and monitoring Participate in an on-call rotation as required, supporting the reliability of the systems you build Share knowledge and raise the bar through short videos, thoughtful writing, and mentorship Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output What We're Looking For 7+ years of experience building scalable, distributed systems in Go (or similar statically typed languages) Experience building product-facing frontend features in React or similar frameworks, with attention to UX quality and polish Experience building or consuming APIs that handle high-throughput async workloads — event streams, queues, and systems that degrade gracefully under load Comfort integrating with external systems you don't control — third-party APIs, rate limits, opaque failure modes — and designing for resilience around them Comfort working in cloud-native environments (AWS, GCP) Familiarity with relational databases (we use MySQL primarily) and an understanding of performance tradeoffs Experience with observability tooling and operating production systems A bias for action over perfection, and pride in owning technical decisions Nice to have: Familiarity with email infrastructure — deliverability, authentication standards (SPF/DKIM/DMARC), sender reputation, or high-volume sending Compensation & Benefits We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions — just a clear, human process designed to help both of us make an informed decision. Application — We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) — Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. Technical Interview (60 mins) — A collaborative system design conversation focused on scaling challenges. Take-Home Assignment — Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) — Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. Project Deep Dive (60 minutes: A focused conversation on a technical project you've owned end-to-end, and how you balance planned work against urgent, customer-impacting issues. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone — apply now.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Ensuring Authenticity for Billions of Daily Rewards Industry reports suggest 25 percent of global mobile ad spend is lost to fraudulent activities like click farms, fake installs, SDK spoofing, and emulator farms. At adjoe, we define our platform through trust and proactive engineering. We build high-performance defenses that guarantee accurate reward attribution, ensuring every interaction is authentic. This creates a sustainable value exchange that empowers our partners to grow with confidence. The Anti-Fraud team develops systems that detect and prevent malicious activity at scale. Our custom Android and iOS SDKs analyze device integrity for modifications like Xposed frameworks, Magisk modules, and jailbroken devices. Supporting these, Go microservices and DynamoDB deliver millisecond-level responses, while Kafka and SQS process billions of daily events in real time. This infrastructure protects publisher margins and ensures a trustworthy platform for all users. Your Mission & Who We Are Looking For: - A data analyst with a strong technical foundation. You have 4+ years of experience in Data Analytics and work fluently in both SQL and Python, writing complex queries, big data optimization and building reliable analysis pipelines. - Experienced in anomaly detection. You have 1+ years of hands-on experience developing and validating detection approaches, balancing fraud detection effectiveness with false positives and business impact. - An investigator by nature. You turn ambiguous problems into structured investigations, uncover suspicious patterns, and validate hypotheses to distinguish genuine fraud signals from noise. - Statistically grounded. You understand experimentation, hypothesis testing, and statistical concepts to validate findings and draw sound conclusions. - You own the solution, not just the analysis.You translate validated insights into effective detection logic and automated monitoring that improves fraud prevention at scale. - Automation-minded. You build reusable analytical frameworks and pipelines that improve efficiency and reliability. Experience with Airflow or dbt is a plus. - Collaborative and business-aware. You translate complex findings into actionable recommendations, communicate clearly with stakeholders, and take ownership of your impact. - Anti-fraud experience is a big plus. Experience in fraud detection, risk analytics, or abuse prevention ideally in adtech, gaming, fintech, or similar high-volume digital environments is highly valued. A quick note before you apply: This role is quite hands-on, so experience with anomaly detection and strong practical skills in both SQL and Python are essential. If you’re still building experience in these areas, this particular role might not be the right fit just yet — but we appreciate your interest in adjoe! 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s In It For You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation platforms. What You'll Do: Write low latency, high throughput C++ code Implement mission critical infrastructure Work with key stakeholders to implement new systems Adapt existing systems to our next generation platform What You'll Bring: A minimum of 4 years of writing high performance C++ Modern C++ knowledge (C++17/20, etc) C++ template meta programming knowledge Possess in-depth knowledge of network programming and distributed computing Strong knowledge of Unix/Linux fundamentals Strong understanding of data structures and algorithms Finance experience is a plus but not essential #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We’re looking for a AI Search Strategist to help our customers succeed in the new era of AI-driven search. In this role, you’ll work closely with leading brands and agencies, onboarding new clients and advising them on how to improve their visibility across search engines, AI assistants, and emerging generative surfaces. You’ll combine deep SEO expertise with a consultative approach, analyzing websites and search performance, running strategic advisory sessions, and translating business goals into actionable organic growth strategies. Working closely with Sales, Growth, and Product, you’ll also help shape how we enable customers and define best practices for succeeding in AI-powered search.   WHAT YOU’LL DO - Onboard and activate new key clients, and educate them on how to best leverage Peec AI to become top-ranked in AI search - Review websites, content, and search performance of key clients to identify AI-search-related opportunities across platforms (search, AI assistants, and emerging generative surfaces) - Run advisory sessions with leading brands and agencies, turning their growth and brand goals into actionable GEO strategies and roadmaps - Collaborate closely with Sales, Growth, and Product to refine activation journeys, case studies, and customer enablement programs - Consult our mid-sized and enterprise clients on GEO-related topics, from overall strategy to hands-on operational execution - Own the growth and retention of your client portfolio, proactively identifying expansion opportunities and partnering with Sales to convert them into upsells - Monitor account health and usage signals to spot churn risk early, and drive retention through timely, value-focused interventions   WHAT WE’RE LOOKING FOR - 3–5 years of hands-on SEO or organic growth experience, ideally at a top-tier SEO agency - Deep understanding of technical SEO, content strategy, search intent, and how organic performance translates into business outcomes - Strong consulting skills: you’re used to advising clients, presenting strategic recommendations, and constructively challenging their thinking - Ability to explain SEO concepts in simple, actionable language for marketing and brand teams - Excitement about the shift from “10 blue links” to generative search, and motivation to be at the frontier of that change - Confident verbal and written communication skills in English for high-quality client calls, workshops, and written recommendations   BONUS POINTS - Experience building frameworks: SEO playbooks, content strategies, or measurement models for clients - Initial experience with AI search - Background working with enterprise and other high-touch clients - Experience in a high-growth, venture-backed SaaS or marketing tech environment WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $100,000 to $150,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE   We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands.   A Staff Product Manager operates and drives vision across product areas. You own a problem space that spans multiple surfaces, or one so foundational that getting it right shapes how everything else at ClickUp works. You still build. The strategy is sharper because you are prototyping the cross-cutting workflow yourself, reading data wherever it shows up, and sitting on customer calls that span the whole problem. You scale impact by inventing leverage that other PMs adopt, wiring up AI workflows that keep you current on more signals than any one person could manually track. The scope is wide on purpose, and you find new ways to cover it.   KEY RESPONSIBILITIES   - Define and own a cross-functional problem space or a foundational platform area whose quality shapes outcomes across multiple product surfaces. - Drive strategic alignment across product areas. Identify the decisions that unblock the most work and make them. - Synthesize signals from customer calls, data, support trends, and partner feedback across your entire scope, not just your immediate surface. - Prototype cross-cutting workflows and concepts yourself. The strategy is more credible when you have already tested it. - Identify leverage and share it. Build AI workflows, frameworks, and patterns that other PMs on the team can adopt. - Mentor and stretch Senior PMs. Raise the floor of the function, not just your own output. - Represent the product voice in senior leadership conversations and contribute to decisions that span multiple teams. - Contribute to how the PM function operates, including how we run discovery, define quality, and measure success.   QUALIFICATIONS   - 6-8+ years in product management, with a clear record of operating across multiple product areas or owning a foundational platform. - Demonstrated ability to drive cross-functional alignment without authority, across engineering, design, data, and GTM. - Systems thinker. You see second-order effects and account for them before they become problems. - Able to hold strategy and execution at the same time. You do not hand off the detail when the scope gets bigger. - Track record of mentoring and elevating other PMs, not just shipping your own work. - Strong data instincts. You can pull your own analysis, define the right metrics, and spot when a number is telling the wrong story. - Experienced with AI tooling and actively finding new ways to scale your own coverage through it. - Proven communicator at the executive level. You can frame a complex problem crisply and land a recommendation with senior stakeholders.   AI PROFICIENCY   - Generate artifacts that accelerate alignment. Leverage AI to draft PRDs, map user flows, validate product launch readiness, synthesize research and customer feedback, produce competitive analyses, and write release notes. - Prototype and iterate with AI coding tools. Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code. - QA your own work. Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced. - Stay current and apply it. Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for TTS and adjacent tasks (voice cloning, controllable TTS, voice conversion and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Project Leadership: Independently lead small research projects while collaborating on larger team initiatives. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - GPU Scaling: Partner with infrastructure to run distributed training/inference on cloud fleets and productionize models with reliability and observability. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology. WHAT YOU’LL BRING: - Exceptional research/development experience with large scale audio models (>3B models and >500k hours data). - Exceptional understanding and hands-on experience with transformer architectures and/or diffusion models (inc. distillation and streaming) and/or audio language modelling. - Strong experience with multi-node and multi-gpu distributed model training. - Strong software engineering skills with a proven track record of building complex systems - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production quality code. - Shipped large scale speech/audio models to production. - Background in working with large-scale ML data. - Ability to iterate on data,, and triangulate quality using subjective and objective signals. - Notable publications and/or open source contributions in speech/audio/ML. - Experience with voice-cloning, speech-control, voice-generation. PREFERRED EXPERIENCE: - Shipped large scale speech/audio models (TTS/VC/ASR) to production. - Work on large-scale ML systems. - Experience with audio language modelling, transformer architectures. - Experience with voice-cloning, speech-control, voice-generation. - Background in processing large-scale ML data. - Publications or notable open-source in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!