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Location: London Workplace: remote About Merkle Science: Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.   Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.   Responsibilities:   ·       Collaborate with Account Executives to ensure alignment of event marketing strategy with account plans. ·       Plan, execute, and track all aspects of Merkle Science’s event presence globally to maximize lead generation and pipeline growth. ·       Define marketing objectives and metrics for events. Conduct post-event evaluations, report progress towards goals, and recommend optimization strategies. Regularly measure event impact against KPIs to inform decision-making and enhance alignment with broader business goals. ·       Ensure alignment with the overall business strategy by contributing to strategic development of event marketing plans. ·       Manage event marketing budgets and report regularly on budget utilization and performance. Track budget costs and proactively communicate scope changes that affect the budget. ·       Act as the point of contact and workstream leader for event marketing, supporting cross-functional teams and internal leaders. Collaborate with the Sales team to identify marketing-supported needs and potential gaps. ·       Ensure that all logistical information for event attendees is clearly communicated and organized, including event schedules, locations, registration details, and any additional relevant information to facilitate a seamless event experience. ·       Evaluate third-party opportunities and build vendor relationships to enhance market exposure, reduce cost, and ensure quality deliverables. ·       Stay informed about overall business development strategies including partner and key account plans, advocating for alignment where necessary. ·       Work alongside teams, suppliers, and other contributors through effective project management and collaboration to exceptional levels of execution of all assigned deliverables – on schedule and within budget. Qualifications: Minimum two years of experience in event marketing or field marketing. Knowledge in trade show project management is essential, from strategy, messaging, design, logistics, vendor management, budget, execution, to post-event analysis. Experience operating within B2B or B2G marketing ecosystems preferred. Proactive, self-motivated individual with excellent organizational and communication skills. Comfortable presenting strategy and results to senior leadership. Ability to manage multiple priorities in a fast-paced environment. Proficiency with Salesforce reporting and analysis of marketing funnel metrics. Occasional travel required, less than 20%. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.     We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: London Workplace: hybrid Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.  What will you do? ·       Key objectives include establishing Merkle Science as a thought leader in the US market and enabling the sales team to meet revenue targets ·       Working closely with the sales team to identify core value proposition and differentiators and creating a strategy to communicate it at scale to potential customers ·       Lead strategy for US market expansion by building on product messaging to set new products apart from others in the market to give Merkle a unique selling point ·       Work across multiple channels to communicate Merkle Science’s value proposition and differentiators in the competitive market. ·       Create sales tools and content such as case studies, videos, website copy and blog posts ·       Collaborate with cross-functional teams for market research, user testing and interviews to discover market opportunities ·       Coordinate closely with product management and engineering teams to determine product roadmap and establish go-to-market strategy for products ·       Establish and iterate on go-to-market strategy to reach revenue targets ·       Will manage his/her own team of designers and marketers. What are we looking for?  o   Fluent in English o   At least 2-4 years of prior marketing / product experience o   Prior startup experience or experience at a boutique firm is a big plus o   Previous compliance/finance/blockchain experience is a big plus  o   Experience in analytical problem solving and quantitative analysis, including development of dashboards and reporting tools o   Ability to lead analyses, track metrics, build strategic insights and find creative ways to optimize performance o    Ability to work in a fast-changing, cross-functional environment, while maintaining an entrepreneurial approach and building rapport with ease. Ability to take complex topics and create compelling narratives for different audiences. o   Excellent project management and stakeholder management skills. o   Excellent spoken, written, and presentation communication skills ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Be the primary point of contact and build long-term relationships with customers.  Customer champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. Develop a trusted advisor relationship with key accounts, customer stakeholders and executive sponsors. Ensure the timely and successful delivery of our solutions according to customer needs and objectives. Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. Forecast and track key account metrics. Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. Monitor and analyze customer's usage of our product. Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. Drive upsells within existing customer base. Fluent in English. At least 3 years of prior account management experience. Previous compliance/web3/blockchain experience. At least 1 prior early-stage startup experience. Proven ability to upsell with exceptionally strong relationship and people management capabilities. A creative problem solver, results driven and self-motivated. Possesses a resilient personality and reacts well under pressure. High emotional intelligence, well organized with the ability to prioritize workload and use time effectively. Ability to handle changing requirements and unforeseen problems rapidly and positively  ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is looking for a Senior Product Manager to own Commercial Agreements and Pricing Mechanics within the Billing Platform team. Our billing platform is how Nebius turns AI infrastructure into a business. As the company grows, Sales and GTM teams need increasingly sophisticated commercial constructs: commitments, credits, custom terms, multi-tenant setups. Your mission is to make sure every deal the business needs is supported by the billing platform out of the box, with as few unsupported custom deals as possible, and to build pricing mechanics that help maximize revenue. This is a role at the intersection of product, commerce, and engineering. You will translate commercial intent into billing capabilities: well-defined product mechanics with clear rules, data models, and self-service potential. Responsibilities Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in the Nebius billing platform Design and ship billing support for commercial constructs Develop pricing mechanics that drive revenue growth, such as dynamic pricing models Systematically reduce the number of deals billing cannot support out of the box: identify recurring deal patterns and turn them into productized capabilities Partner closely with Sales, GTM, Finance, Legal, and Operations on deal structures and contract mechanics; work with the billing engineering team on design and delivery Own discovery, requirements, delivery, and success metrics for your domain, and keep documentation and internal enablement up to date Who we are looking for 5+ years of product management experience, including hands-on ownership of billing, monetization, or pricing products Solid technical grounding: you are comfortable discussing APIs, data models, and billing pipelines with engineers and can reason about system design trade-offs, even if you do not write production code Experience operating in an enterprise B2B environment with many stakeholders: sales, finance, legal, engineering Strong analytical skills: you model the revenue and margin impact of pricing and discount mechanics before committing to them Nice to have FinOps or cloud billing domain expertise: commitment discounts, usage-based pricing, FOCUS or similar billing data standards Experience supporting enterprise deal desks or working directly with Sales on non-standard deals Background at a cloud provider (hyperscaler, GPU cloud, or adjacent infrastructure business) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Workplace: Remote About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ROLE SUMMARY Developer Success is the technical support function for Prefect's customers across the Prefect and Dagster product lines. Its mission is to resolve customer technical issues with the least possible customer effort, and to prevent those issues from recurring. We are hiring a Developer Success Engineer to work the combined Prefect and Dagster support queue. You will diagnose and resolve technical issues in customer environments, own each issue through resolution, and contribute to the documentation, tooling, and product feedback that reduce future volume. You will be trained on both Prefect’s and Dagster’s products. The team is investing in agent-based automation for routine support work, which is moving the engineering focus toward complex diagnosis and escalation. This role is well suited to an engineer who wants to build deep expertise in orchestration and data platform environments and apply it directly with customers. WHAT YOU'LL DO - Clear the failure state, and prevent the next one. Diagnose problems across Prefect and Dagster installations, integrations, deployments, and the cloud and container environments they run in. Find the underlying "why" so your first response resolves the question and pre-empts the follow-ups. Turn what you learn into docs, debugging resources, and tooling that deflect repeat submissions. - Own what's ours; say no clearly to what isn't. Take full accountability for root causes inside our products' domain of control. For problems outside our Scope of Support, issue a principled no that still gives the customer a way forward. Helplessness erodes trust as fast as a wrong answer. - Support your findings, and ask customers to support theirs. Back every diagnosis with evidence and logic. Assume the customer is the expert on their own stack, ask for what you need to troubleshoot both sides of an issue, and explain why you need it. Leave room for the possibility you've missed something. - Give the best possible update every time, and say so when you're still building it. A half-baked answer sent fast is worse than a complete one sent when it's ready; but radio silence is worse than both. When an issue needs to be escalated, you stay the customer's single point of contact, keep them updated on a regular cadence, and close the loop. - Feed the product. File reproducible product issues and surface recurring failure patterns to Engineering and Product. You'll work the queue independently on day-to-day issues and own moderate-complexity problems end to end, including investigations across a customer's cloud environment. You'll ask when the Scope of Support or an escalation path is unclear, and you'll build the judgment to recognize when an issue belongs with Customer Engineering or a CSM instead. We measure the role on Customer Effort Score and resolution time, held in tension: a fast answer that costs the customer effort isn't a good one. Coverage is 9am to 5pm Pacific, with an on-call rotation shared across the team. YOUR QUALIFICATIONS Must have: - Python fluency at the level of reading and debugging someone else's code, not only writing your own. - Hands-on experience running workloads in at least one major cloud and in containers or Kubernetes, enough to troubleshoot a deployment you didn't build. - Experience with a workflow orchestrator (Prefect, Dagster, Airflow, or comparable) and a strong interest in the data engineering space it lives in. - A track record of technical, customer-facing work: support, solutions engineering, developer relations, or similar. - Clear enough written communication to explain a root cause to a skeptical senior engineer and earn their trust. Nice to have: - Direct experience with Prefect or Dagster specifically. - A history of open-source contribution, in any project. - SQL and data warehouse familiarity. - Experience building support tooling or automation. WHAT TO EXPECT This is a support role. There's a queue, a Scope of Support, and an on-call rotation, and the first job is always the failure state in front of you. If a defined scope and a real customer on the other end of every problem sounds like the point, this is the role. While engineers on this team do contribute code and take on consultative work, the queue comes first. Those opportunities will progressively open up as the agent tooling absorbs the formulaic work. WHAT YOU'LL GET IN RETURN Base Salary Ranges: - San Francisco Bay Area & NYC Metro: $149,000–$176,000 - Washington D.C., Boston, LA Metro, Seattle: $136,000-$165,000 - Denver, Chicago, Atlanta, & all other U.S. metros: $128,000–$150,000 Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process. Perks and Benefits: - Remote-first team with flexible-first culture - Equity Stock Options - 401(k) with 5% company match (vests immediately!) - Unlimited PTO - Medical, Dental and Vision insurance - Generous Parental Leave - Life Insurance and Disability benefits - $800/month remote work stipend And that's just the start — for more info check out our benefits and perks on our careers page. BELONGINGNESS AT PREFECT: Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. EQUAL OPPORTUNITY AT PREFECT: Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

Location: Global Workplace: Remote TL;DR: We're hiring a DevRel Lead to make White Circle the AI safety platform engineers and researchers actually want to build with. You'll own how we show up to technical audiences: shipping technical content, running hackathons and meetups, launching open-source tools like Halo, and building partnerships across the AI ecosystem.   ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU'LL DO - Own White Circle's developer relations: how engineers and AI researchers discover, understand, and adopt what we build - Lead technical launches for open-source releases and developer tools, like our Halo framework, from narrative and demos through to launch day - Write and publish technical content: blog posts, tutorials, walkthroughs, demos, and threads on X and LinkedIn - Organise and run hackathons, meetups, and technical events, mainly in SF and New York - Build and grow a technical community around our open-source work and platform - Set up and run technical partnerships and collaborations with AI labs, dev tools companies, and research teams - Give technical input to promo and product videos, working with our design and creative team on production - Track what's working (signups, repo stars, views, event turnout, hiring pipeline) and double down on it WE'RE LOOKING FOR SOMEONE WHO - Has a strong technical background as a software engineer, ML engineer, or researcher - Has worked at a technical product company, ideally in dev tools, infrastructure, databases, or AI - Has organised hackathons, meetups, or technical events, and can show how they went (turnout, signups, what came out of them) - Has an engaged following among engineers and/or AI researchers on X, LinkedIn, GitHub, or elsewhere - Knows the AI tooling landscape well: coding agents, eval frameworks, open-source models, and who is building what - Can take a complex technical topic and make it compelling for a developer audience without dumbing it down - Thrives with ownership and moves fast without waiting for direction - Is based in the US, or able to work US hours. SF or New York is ideal, but we'll consider exceptional candidates anywhere - Is fluent in English A BIG PLUS - You've led developer marketing or DevRel for a technical launch that drove real adoption - You've contributed to or maintained popular open-source projects - You have existing relationships across the AI research and developer community - You've worked on or around AI safety, evals, or reliability COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment, with a choice of a walkthrough of one of our public repos or a launch case study on a sample company 3. Technical chat with Head of Design & Head of Applied Research (45 min) 4. Final conversation with CEO & Head of Engineering (45 min)

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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 Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. 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. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. 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! 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: Austin, United States; Tampa, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Sr. Talent Acquisition Partner specializing in Tech hiring across North America, you will play a critical role in attracting and hiring top technical talent across Software Engineering, Product, Data, Cloud, Infrastructure, and IT functions. You will partner closely with hiring managers and business leaders to develop effective talent strategies, build high-quality pipelines, and deliver an exceptional candidate experience that enables business growth. Manage the full recruitment lifecycle for technical roles, including sourcing, screening, interviewing, and hiring software engineers, engineering leaders, product professionals, and other technical talent Partner closely with hiring managers and engineering leadership to understand hiring priorities, workforce planning needs, and talent market challenges, providing strategic talent acquisition guidance Proactively source and engage high-caliber technical candidates through LinkedIn, networking, referrals, industry events, and direct outreach Build and maintain strong pipelines of passive technical talent to support current and future hiring needs across North America Develop trusted relationships with candidates throughout the recruitment process, ensuring a seamless and high-touch candidate experience Leverage market intelligence, competitor insights, and talent mapping to identify and attract top technical talent in competitive markets Monitor recruiting performance metrics, pipeline health, and hiring outcomes, providing insights and recommendations to continuously improve hiring effectiveness Requirements Minimum of 5+ years of full-cycle recruiting experience, with a strong focus on technical hiring within Software Engineering, Product, Data, Cloud, Infrastructure, or IT functions Proven track record of successfully hiring experienced technical professionals across multiple disciplines and seniority levels Bachelor's degree in Human Resources, Business Administration, or a related field Strong understanding of technical skill sets, engineering organizations, and the talent landscape for technology roles Excellent stakeholder management, communication, and influencing skills, with the ability to partner effectively with engineering leaders and hiring managers Demonstrated ability to proactively source, engage, and assess passive technical talent in highly competitive markets Experience using ATS platforms, LinkedIn Recruiter, and other sourcing tools, combined with a data-driven approach to recruitment and talent strategy Ability to manage multiple priorities and thrive in a fast-paced, high-growth environment Passion for delivering an exceptional candidate experience and building diverse, high-performing teams What we offer Work location is either Tampa, FL or Austin, Texas (Hybrid to the office). Competitive compensation and bonuses Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings Open door policy and business casual dress code We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us! In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

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 Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues, including both Cefi and Defi venues, strategy services for automated pricing and trading bots, high-frequency data capturing and analysis, and state-of-art micro frontend for trading management. On top of all these infrastructures, we build highly customized strategies to facilitate crypto liquidities. If you are a strong technologist who is excited about the potentials of crypto trading, interested in fully-automated algo bots, we should talk. We are looking for a Java Software Engineer for Liquidity Platform Structured Product Engineering Team. During your tenure with us, you will be working closely with a liquidity manager for strategy development using an in-house build strategy toolkit. You will demonstrate and develop professional capabilities in the following areas: managing inventory & risk of applications, strategic thinking and problem solving, collaborating with product managers, engineers and liquidity managers, effective communication. What You’ll Be Doing Work closely with team technical lead, liquidity managers and product managers on strategy discussion and technical solution design. Work with team to own the strategy production environment for both feature buildout and infra upgrade for better performance. Continuously and proactively improve strategies to be more stable, scalable and robust with auto recovery ability for 24x7 crypto trading style. Run projects by maintaining a deep underlying of the technical infrastructure and a holistic view of the product and business What We Look For In You Solid STEM (Science/Technology/Engineering/Mathematics) education background. Passionate in the Crypto industry and with strong problem solving skills. Solid knowledge in structured products business or volatility trading is a plus. Hands-on experience in AI development is preferred. 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! 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: London, United Kingdom Workplace: hybrid Marketing Manager, Embedded Partnerships Role As Marketing Manager, Partnerships at Sokin, you will own the marketing motion supporting our Embedded Partnerships business across EMEA. Working closely with the Partnerships team, and our central Marketing teams, you will be responsible for turning commercial priorities into high impact marketing activity that builds market education and category understanding, strengthens partner relationships, supports complex sales conversations, and contributes to qualified pipeline. This is a strategic and hands on role, combining ownership of the partnerships marketing approach with direct execution across category education, thought leadership, content and use cases, partner and client co marketing, sales enablement, and relationship led activations. You will shape plans and priorities, while also taking ownership from planning through execution and measurement, managing agencies, vendors, budgets, and multiple internal stakeholders along the way. A key part of the role will be helping clients and partners understand the value of embedded finance, payments infrastructure, and platform based solutions, translating complex capabilities into clear commercial value and relevant use cases. You will also play an important role in building the partnerships marketing playbook for EMEA, adapting proven approaches from more mature embedded finance markets to the needs of clients and partners across the region. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Key Responsibilities Own the EMEA partnerships marketing programme, with a strong focus on market education, category development, partner engagement, and pipeline contribution. Develop marketing programmes that support longer and more complex sales cycles, translating embedded finance and payments infrastructure into clear commercial value and relevant use cases. Create compelling thought leadership, content, use cases, and sales enablement materials that support education, commercial conversations, and opportunity progression. Partner closely with the Partnerships team on account strategy, opportunity development, relationship building, and pipeline progression. Maximise the value of strategic memberships and industry associations through thought leadership, content, events, relationship building, and commercial activation. Own relationship led activations, including curated client events, sponsorships, executive hosting, and other targeted engagement opportunities. Collaborate closely with central Marketing teams across brand, content, digital, product marketing, and communications to deliver locally relevant activity aligned with global strategy. Measure marketing effectiveness and pipeline contribution, using performance insights and market feedback to continuously improve the approach and build a scalable EMEA playbook. Requirements 5 or more years of B2B marketing experience within fintech, payments, financial services, SaaS, or a related technology environment. Direct experience in embedded finance, payments infrastructure, platform partnerships, API based businesses, or a closely related area is strongly preferred. Strong understanding of longer and more complex B2B sales cycles, including marketing to multiple stakeholders over an extended decision-making process. Proven experience developing category education, thought leadership, content, and use cases that make complex technology solutions commercially relevant and easy to understand. Experience creating sales enablement and marketing materials that support opportunity development and pipeline progression. Strong experience partnering with Partnerships or commercial teams on account strategy, relationship building, and go to market activity. Entrepreneurial and commercially minded, combining strategic thinking with strong hands-on execution in a fast paced, high growth environment. Strong stakeholder management, project management, and communication skills across Partnerships, Marketing, Product, senior stakeholders, clients, agencies, and external partners. We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you require any accommodations during the recruitment process, please let us know.

Location: United States About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do Be the senior enterprise engagement lead. Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security reviews. Improve GenAI systems already in production, particularly across quality, cost, or latency. Take ownership of active client projects, managing scope, timelines, and stakeholders. Navigate enterprise procurement, IT infrastructure, and security processes on the client side. Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. Translate between client product and engineering buyers and our internal data and machine learning teams. Partner with the sales team on opportunities and help shape offerings as the business grows. Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience Strong consulting experience with a record of hands-on client delivery. Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. Experience working with large enterprises, including their procurement processes and IT infrastructure. Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do Be the senior enterprise engagement lead. Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security reviews. Improve GenAI systems already in production, particularly across quality, cost, or latency. Take ownership of active client projects, managing scope, timelines, and stakeholders. Navigate enterprise procurement, IT infrastructure, and security processes on the client side. Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. Translate between client product and engineering buyers and our internal data and machine learning teams. Partner with the sales team on opportunities and help shape offerings as the business grows. Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience Strong consulting experience with a record of hands-on client delivery. Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. Experience working with large enterprises, including their procurement processes and IT infrastructure. Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Garching bei München, Germany Workplace: OnSite COMPANY OVERVIEW Founded in 2014 in the Czech Republic, Rohlik is the European leader of e-grocery in Central Europe. Already active in the Czech Republic (Rohlik.cz http://Rohlik.cz), Hungary (Kifli.hu http://Kifli.hu), Austria (Gurkerl.at http://Gurkerl.at), Germany (Knuspr.de http://Knuspr.de), and other markets. By owning its end-to-end operations, including all technology in-house, Rohlik provides a superior customer experience and the freshest food from local farmers and artisans, as well as a broad supermarket selection.   DEPARTMENT OVERVIEW The Facility & Engineering team ensures safe, reliable, and efficient daily operations of fulfillment centers by maintaining infrastructure, equipment, and systems. We minimize operational risks and enable continuous performance through preventive and corrective maintenance.   ROLE OVERVIEW As Technician, you will own the maintenance and reliability of warehouse equipment and infrastructure. You will perform preventive maintenance, resolve breakdowns, and ensure compliance with safety standards. By securing equipment uptime and functionality, you will directly support the smooth operation of fulfillment center processes.   WHAT WE EXPECT FROM YOU - Owns maintenance and repair of technical equipment (automation, conveyors, racks, infrastructure). - Performs preventive and corrective maintenance to minimize downtime. - Ensures compliance with health and safety standards in all facility activities. - Provides input to facility inspections, reporting, and technical documentation. - Supports continuous improvement initiatives to strengthen facility reliability. WHAT WE ARE LOOKING FOR - Proven experience in technical maintenance or facility operations. - Strong problem-solving and crisis-handling ability. - High reliability, attention to detail, and safety awareness. - Willingness to learn and develop new technical skills. - Effective communication skills. - Technical High School Preferred - Degree or diploma in electrical, mechanical, or mechatronics field. - Experience in logistics, manufacturing, or automation environments. WHAT WE OFFER - Direct impact on fulfillment center reliability and operations. - Immediate implementation of your ideas – no waiting for distant approvals. - Freedom from unnecessary corporate processes. - Opportunity to develop technical skills and grow professionally. - Competitive compensation and professional growth opportunities. - A collaborative culture with great people and legendary company events. #LI-AR1 #Knuspr

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are at an inflection point where AI is fundamentally reshaping what products can do and how users experience them. We're not just looking for a product manager — we're looking for a hybrid product builder who truly understands AI capabilities and can translate technical potential into real user value. You will lead end-to-end product design for LLM / Agent-powered applications — from zero to one — across domains including intelligent customer service, personalized recommendations, AI assistants, and automated workflows. You are the critical connector between user insights, AI technical capabilities, and business objectives: someone who can discuss RAG retrieval strategies and multi-agent orchestration with ML engineers, while clearly articulating product value and delivery roadmaps to business stakeholders. If you have genuine passion for AI-native products and the ability to define clear product direction amid ambiguity and rapid change, we'd love to build the next generation of AI applications together. Key Responsibilities End-to-End AI Product Lifecycle Management Own the full product lifecycle of AI applications — including intelligent chatbots, AI assistants, recommendation systems, and automated workflows — from requirements definition and product design through to launch and delivery. Produce high-quality PRDs, interaction flow diagrams, and acceptance criteria while driving cross-functional teams to execute efficiently. LLM / Agent Capability Productization Deeply engage in Agent product design, including task planning workflows, tool-calling strategies (Function Calling / MCP), context management mechanisms, multi-agent orchestration logic, and graceful failure/fallback handling. Translate underlying model capabilities into meaningful, perceivable user value. AI Evaluation Framework & Quality Standards Build Harness evaluation frameworks for AI products — designing test scenario sets, evaluation metric systems (accuracy, hallucination rate, task completion rate, etc.), and regression test case libraries. Independently assess AI capability boundaries and drive continuous model iteration and product quality improvement. Conversational Product Design & Knowledge Engineering Lead platform architecture planning for intelligent customer service and conversational assistant products, covering knowledge base structure design, dialogue flow and SOP design, corpus annotation and training strategy, intelligent reply generation, and case summarization. Leverage large-scale data analysis to continuously optimize conversation quality and issue resolution rates. Personalization Engines & Generative UI Products Collaborate deeply with ML and data teams to design recommendation strategies that deliver truly personalized, individualized user experiences. Define generative UI product requirements and drive growth in core business metrics including CTR, conversion rate, and user retention. Establish comprehensive attribution analysis frameworks for recommendation effectiveness. AI Capability Integration with Business Scenarios Develop a thorough understanding of business goals and user pain points. Proactively identify opportunities to apply AI technologies — including RAG, Prompt Engineering, and multimodal capabilities — to concrete use cases. Define clear product evolution roadmaps that balance technical feasibility, user experience, and commercial value. Cross-Functional Collaboration & AI-Native Product Culture Act as the product Owner in close collaboration with algorithm, engineering, data, design, operations, and business teams. Maintain a strong sense of ownership in a fast-moving AI-native environment, continuously track industry developments, and rapidly translate emerging AI capabilities into product innovation opportunities. Requirements Product Experience : 3+ years of product management experience, with at least 1 year of direct hands-on experience delivering AI application products, AIGC products, or Agent products. Must have fully shipped at least one AI-related feature module or standalone product. AI Technical Understanding : Deep understanding of the productization of mainstream AI technologies, including but not limited to: LLM Prompt Engineering, RAG (Retrieval-Augmented Generation) architecture, Agent fundamentals (tool calling / task planning / context window management), and conversational system design. Ability to independently evaluate the product feasibility of technical proposals. Evaluation & Data Capabilities : Proven ability to design AI product evaluation frameworks — independently defining evaluation metrics, building test case sets, and tracking product performance through data analysis. Familiarity with A/B experiment design and a strong data-driven decision-making mindset. Documentation & Communication Skills : Ability to write structured, logically rigorous PRDs, technical requirement documents, and flow diagrams. Excellent cross-functional communication skills with the ability to accurately bridge information between technical and business teams, eliminating information gaps. User Insight & Product Thinking : Sharp ability to translate ambiguous user needs into clearly defined product requirements. Skilled at finding the right product balance between AI capability boundaries and user expectations — avoiding both overpromising and underutilizing model capabilities. Learning Agility & Ownership Mindset : Sustained enthusiasm and capacity for continuous learning in a rapidly evolving AI landscape. Strong sense of ownership — able to proactively define problems, drive decisions, and take accountability for outcomes in highly ambiguous environments. Nice to Have Familiarity with cutting-edge AI engineering practices including MCP ( Model Context Protocol ), Function Calling, and multi-agent orchestration frameworks (e.g., LangChain / AutoGen / CrewAI), enabling deep technical dialogue with engineering teams. Experience with AI Harness / Eval / Benchmark platform product design or usage, with involvement in establishing and maintaining LLM evaluation systems. Background in Fintech / e-commerce / SaaS industries, with an understanding of the unique product design requirements for AI in high-concurrency, compliance-sensitive environments. Bilingual fluency in Chinese and English (spoken and written), with the ability to independently drive product collaboration and cross-cultural communication within international teams. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: San Francisco Workplace: OnSite ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is growing fast, and how we hire shapes what we become. As our Recruiting Operations Program Manager, you'll find where the recruiting team is losing time or quality, confirm it with data, and build and run the program that fixes it. Some of that work is quick, like a data pull for leadership or an Ashby answer for a recruiter. Some of it spans months and needs executive buy-in. You'll identify, build and own programs end to end, from redesigning core recruiting processes to building and shipping A-powered tools that change how our recruiters work every day. You'll work across Ashby, Notion, Slack, and Claude, and treat AI as a core part of how recruiting runs. RESPONSIBILITIES - Build and lead large-scale recruiting programs end to end: secure leadership buy-in, manage timelines across stakeholders, and partner with our Recruiting Operations Data Analyst to use data to decide what to change and how to measure it. - Break large, ambiguous problems into projects with clearly-structured phases, owners, and deadlines, and drive them through to adoption, not just launch. - Analyze interview plans, pass-through rates, stage timing, and interviewer load in Ashby, and turn findings into concrete recommendations. - Support operational asks from recruiters and leadership, and turn repeated asks into self-serve tools or documented answers. - Build, pilot, and iterate on Claude-powered tools and workflows that solve recurring pain points across the recruiting team. - Keep recruiting documentation – including interview guides, playbooks, SOPs, and training material – current, monitored, and easy to find. - Propose and roll out process changes that make recruiting faster and more consistent, including the comms and training that make them stick. REQUIREMENTS - 3+ years in recruiting operations, program management, or a related operations role at a fast-growing company. - Track record of building and running cross-functional projects end to end with clear project management rigor, from securing senior leaders’ buy-in to execution and close-out. - Comfort pulling, analyzing, and presenting data, and turning it into clear recommendations. - Clear, concise writing, including for executive audiences. - Strong prioritization skills, with the ability to balance long-running programs with day-to-day asks. NICE TO HAVE - PMP or project management certification a strong plus. - Hands-on Ashby experience, especially reporting and dashboards, or deep experience with another ATS, including using data and metrics to drive decisions and set priorities. - Experience building workflows or tools with AI (Claude, ChatGPT, or similar). BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).