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Location: Philippines APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Use any valid email address to log in. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form.  Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: S-CPT-0044 GoHighLevel (GHL) Systems Auditor & Optimization Specialist Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. We are seeking an experienced GoHighLevel (GHL) expert to review, audit, and optimize our existing platform setup. Our system is already well‑developed, and we are not starting from scratch—we need an advanced specialist who can provide expert insights, identify gaps, and take our current build to the next level. We need a truly advanced GHL professional—someone who can come in with an expert eye, analyze the work we’ve already done, and elevate it. You should be comfortable identifying gaps, proposing improvements, and implementing sophisticated setups that maximize the platform’s AI and automation capabilities. Scope of Services Contractors will be required to provide services that align with the following client tasks: Audit & Assessment Conduct a full audit of our current GHL setup, workflows, automations, pipelines, and overall architecture. Identify inefficiencies, inconsistencies, and opportunities for improved performance and scalability. Provide a clear, actionable report outlining recommended enhancements and best‑practice improvements. Optimization & Enhancements Optimize existing automations, triggers, workflows, and funnels for efficiency and reliability. Ensure our system is aligned with GHL best practices for small to medium‑sized business environments. Improve overall system organization, usability, and long‑term maintainability. Integrations & Advanced Features Advise and assist with integrating third‑party tools and platforms into GHL. Configure and guide us on advanced GHL features, including AI‑powered tools and newly released capabilities. Ensure that all integrations function seamlessly within our existing architecture. Strategy & Guidance Provide expert-level recommendations to help us fully utilize GHL’s capabilities. Offer ongoing strategic advice on how to leverage GHL to streamline operations and increase efficiency. Support our team in understanding system improvements and adopting best practices. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Proven expertise in GoHighLevel setup, optimization, and automation design. Deep understanding of GHL best practices , advanced features, and high‑level system architecture. Strong experience integrating third‑party applications with GHL. Knowledgeable in optimizing GHL for small to medium‑sized business operations . Ability to review complex existing systems and recommend elevated, scalable solutions. Strong communication skills with the ability to simplify technical concepts. Work Schedule Contracted Hours per Week: 40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 8 AM to 5 PM Eastern Standard Time Note: The Company will make reasonable efforts to align the Assigned Contractor’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Technical REQUESTED EXPERIENCE TIER LEVEL: Senior Level Contracted Hours per Week: 40 hours/week Daily Working Time: 8 AM-12 PM EST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of Contractor: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Near Native English REGION PREFERENCES: Philippines What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Support Engineering for our Bengaluru Center of Support, you'll build and manage GitLab's India-based regional support hub as a strategic peer to our Americas and Europe, Middle East, and Africa hubs. Reporting to the Vice President of Support Engineering, you'll own the hub's organizational design, headcount growth, management infrastructure, and operating standards while building a healthy team that delivers enterprise-grade technical support across Asia-Pacific and Europe, Middle East, and Africa time zones. This remote-friendly role is based in Bengaluru, India. What you’ll do Design and build the Bengaluru hub's organizational structure, including specialist and management roles, customer and product segmentation, and shift coverage models. Establish the management infrastructure, operating rhythms, escalation frameworks, and quality standards needed to support sustainable headcount growth. Manage hiring and retention in partnership with Talent Acquisition, including role profiles, interview panels, offer selections, career paths, internal mobility, recognition, and team culture. Develop managers and support engineers, set clear performance expectations, provide transparent feedback, and create pathways into global Support Engineering management roles. Own performance against service-level targets, customer satisfaction, ticket quality, resolution metrics, and transparent reporting against global key performance indicators. Implement local escalation workflows, Request for Help integration, and shift handoff protocols across the Asia-Pacific, Europe, Middle East, and Africa, and Americas support hubs. Guide the hub's use of GitLab's artificial intelligence toolchain and partner with Support Operations and Strategy on tooling, analytics, and process automation. Work with regional Support Engineering managers, Product, Engineering, and the Vice President of Support Engineering on global strategy, customer insights, operating plans, headcount models, and the Support Engineering roadmap. What you’ll bring Experience managing technical support engineering or a closely related customer-facing technical function, including through a manager-of-managers structure. A record of building or significantly scaling a support organization, including organizational design, hiring infrastructure, onboarding, and team culture. Experience establishing a global delivery hub or Center of Support and coordinating service delivery across regions and time zones. Deep knowledge of supporting enterprise software as a service, including managing service-level obligations, tiered support models, escalation frameworks, and operational metrics. Experience working in a distributed environment that combines asynchronous and synchronous collaboration, with clear written and verbal communication. Familiarity with AI-assisted support tooling and experience introducing new tools or automation at scale. Demonstrated ability to retain and develop technical team members in a dynamic hiring market. Knowledge of DevSecOps platforms, continuous integration and continuous delivery tooling, Kubernetes, or cloud-native infrastructure, along with experience using support platforms such as Zendesk, Salesforce, Decagon, or equivalent tools. Experience with GitLab as a user, administrator, or customer is helpful. About the team The GitLab Support Engineering team is distributed across the Americas, Europe, Middle East, and Africa, and Asia-Pacific. Support engineers and managers work on tickets and help GitLab's customers. We also examine code and logs to find root causes. We solve complex problems collectively, participate in pairing sessions and one-on-ones, and stay in communication across time zones through deliberate asynchronous work habits. Support is where customers meet GitLab, and we take that seriously. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. The Fortune 100 claim is based on GitLab data and refers to the top 20% of companies ranked in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited aren't affiliated with and don't endorse GitLab products or services. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. OUR MISSION At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. ABOUT THE ROLE As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments. WHAT YOU'LL DO - Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures. - Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies. - Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning. - Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance. - Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality. - Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models. - Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply. - Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops. WHAT WE'RE LOOKING FOR - A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it. - Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction. - Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities. - Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code. - Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly. - Excitement about grounding generative models in physical reality rather than pixels alone. NICE TO HAVE - Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL). - Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations. - Experience using world models for policy evaluation or synthetic data generation at scale. - Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions. - Experience optimizing generative models for fast inference. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: New Zealand; Gisborne; Wellington; Waikato; Northland Workplace: Remote ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE As a Territory Manager at Halter, you will play a critical role in driving business growth and ensuring customer success within your designated territory. You will be responsible for executing sales strategies, building strong customer relationships, and meeting ambitious growth targets, all while acting as Halter’s on-the-ground representative. This role requires a proactive and hands-on approach, with a focus on both expansion and long-term customer satisfaction. In http://satisfaction.In this role, you will prioritise daily efforts that optimise growth performance and drive value for your customers. Working closely with cross-functional teams, including Product, Support, and other regional sales teams, you’ll share field insights to ensure Halter’s technology continues to meet the needs of farmers. Your contributions will directly support Halter’s mission to support 50% of the world's habitable landmass to be more productive and sustainable. Location - We have multiple opportunities available across all States & Territories in Australia. Come and experience the best of what Australia can offer! Relocation - We're looking for fantastic people to come and join our Australian crew. To support your move, we're prepared to cover relocation expenses, along with temporary accommodation.   WHO ARE WE LOOKING FOR - Sales & Customer Success Expertise: Value-based sales experience, with a strong history of creating opportunities, closing deals, and building lasting customer relationships. You understand post-sales value building and have experience upselling to grow partnerships. - Beef Industry Experience: You know the ropes of beef operations, understanding the unique challenges of the industry. If you don’t, you will be deeply passionate about it, and willing to dive deep into the operations of a farm to learn rapidly. - Attitude: You naturally play for the front of the jersey. Make those around you better. Thrive under pressure and own your results. You bring authentic energy and passion to every interaction. - Territory Management: Able to use critical thinking to manage a large territory with a balanced focus on sales and customer success, making the appropriate trade-offs. - Problem Solving & Collaboration: Resourceful and quick-thinking, you work well with cross-functional teams to address challenges and drive solutions. - Willingness to Travel: Frequent travel within your territory to engage with customers and prospects.   WHAT YOUR DAY COULD LOOK LIKE - Prospecting & Expansion: Sourcing new leads and opportunities through proactive outreach, referrals, industry events, and other channels, as well as responding to inbound queries. You’ll manage the full sales pipeline from lead generation through to close. - Hitting Sales Targets: Manage your pipeline and meet high-growth sales targets by screening, qualifying, demonstrating the product, and successfully negotiating contracts with customers. - Customer Account Management: After the sale, maintain close relationships with customers to ensure their ongoing satisfaction, provide support, and address any challenges they face with Halter’s products. You’ll also ensure a smooth handoff from sales to customer onboarding and deployment of Halter, helping customers get the most value from Halter’s solutions. - Territory Ownership: A high level of ownership in your territory working with regional agricultural groups to foster deep relationships across the beef industry. - Customer Onboarding: Assist in owning the end-to-end customer experience during onboarding and deployment of Halter’s product, ensuring a smooth transition from sales to implementation. - Field Learnings & Feedback: Serve as the primary point of contact for gathering customer feedback in your territory. Work closely with Support, Product, and R&D teams to share insights from the field that can drive product improvements and innovations. - Collaborating with Support Teams: Partner with the Support Team to resolve any issues your customers encounter quickly. You’ll escalate problems as needed and ensure that customers in your territory feel fully supported. OUR BENEFITS: - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. HALTER IN AUSTRALIA: Halter entered Tasmania two years ago and has rapidly expanded to now have 20% of the state's dairy herd with Halter - a thriving customer base managed by a talented, local team. Halter is now fully operational in Queensland, NSW & victoria and now has a growing team and customer base across all three states. In South Australia, Halter is preparing to launch operations following recent regulatory approval for virtual fencing. In Western Australia, Halter does not yet have customers. In these states there is a groundswell of demand for Halter across thousands of farmers. In Australia, virtual fencing is regulated by individual states' animal welfare legislation. Until recently, several states had legislation that did not permit farmers to use high-quality virtual fencing technology. With NSW parliament's announcement regulating virtual fencing, and Victoria and South Australia following suit, these barriers are now lifting. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary We are seeking a high-energy, resilient, and results-driven Remote Appointment Setter . In this role, you will be the engine of the sales pipeline, engaging directly with key decision-makers to spark interest and schedule high-value discovery calls. This is a high-volume outbound position designed for a professional who thrives on the hunt and understands that consistency is the key to unlocking massive revenue growth. Key Responsibilities Execute high-volume outbound activity, maintaining a pace of 100+ calls per day. Prospect and qualify B2B leads to ensure a seamless handoff to the Account Executive team. Effectively navigate gatekeepers and reach decision-makers within target organizations. Manage a persistent follow-up cadence via phone and email to maximize conversion rates. Maintain clean and accurate records of all activity and lead intelligence within the CRM. Requirements Proven experience in B2B sales or appointment setting. Demonstrated ability to maintain high call volumes (100+ daily dials) consistently. Exceptional verbal communication skills with a professional and persuasive phone presence. Strong "resilience muscle" and the ability to handle objections with poise. A dedicated, quiet home office setup with high-speed internet. Experience using modern sales engagement platforms and CRM tools. Background in technology or professional services sales. History of exceeding performance quotas in a remote environment. Benefits 💰 Competitive base salary plus commission 🌎 Fully remote work environment 🛠️ Access to top-tier sales tools and technology

Location: Munich; Frankfurt Workplace: remote Azul seeks an experienced and enthusiastic Channel Account Manager to build the channel across Germany.  This is an exciting role that demands initiative and enthusiasm. You will help close small and large (multi-million dollar) complex deals with Fortune 500 companies.   This role must research potential partners, connect with and educate prospects on our product offerings and qualify the leads. The primary focus will be to turn leads into qualified opportunities by partnering with marketing and sales to create and execute on program. What You’ll Do (aka Responsibilities) Identify and qualify prospective partners to resell Azul products to their customer base and via a partner program Educate prospective partners on the partner program, requirements and deliverables Develop opportunities for prospecting and marketing generated leads Promptly and efficiently respond to, engage with and qualify inbound leads and inquiries from partners Collaborate with sales and marketing team members on strategic sales approaches as it relates to partner productivity Develop and execute a strong and effective prospecting plan of attack for new partners in Germany Ensure successful follow through of sales cycle by maintaining accurate activity and lead qualification information in SFDC Provide in depth information to both the Account Executives and the VP Sales in the region regarding recruitment efforts Conduct new partner and ongoing enablement and training using the partner portal Maintain accurate and thorough records for partner calls, emails, notes, tasks, demos and other relevant information in compliance with organization policy Travel required across the region from time to time What You’ll Bring (aka Experience, Skills Education) Minimum 10+ years' experience in Channel sales working with global top tier partners such as SoftwareOne, Insight, SHI, Logicalis, etc. throughout Germany. Minimum 5+ years' knowledge or experience working with development platforms or development tools. Bachelor’s Degree and MBA is a plus Any prior direct sales experience will be an advantage as well Experience in SFDC and Clari preferred Strong verbal and written communications Excellent time management and organization skills Strong negotiating skills What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: United States Company Intro 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 over 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. About position The Forward Deployed AI Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [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: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE We're changing the way the world farms — and with that comes a responsibility to the producers worldwide who trust us with their animals. We're looking for an experienced Electronics Engineer to join our Failure Analysis team and debug failed electronics down to root cause, from both the field and lab testing. Halter collars aren't serviced, aren't repairable, and need to last 6–10 years, anywhere across the globe. Our products are complex, highly integrated electromechanical devices packed with ultra-low power circuitry, RF, solar and battery systems, high-voltage pulse circuits, and dense multi-layer PCBs. To make them last, we need to understand every electronic failure mode in the field and know exactly how to eliminate it. WHAT YOU’LL DO - Personally own the highest-impact and most ambiguous electronic failure modes, driving them to a clear, evidence-based root cause. This is a hands-on role; you'll be very close to the electronics. - Debug and diagnose failed electronics at the sub-system and component level: power generation and conversion, ultra-low power circuits, RF and antenna, battery systems, high-voltage pulse circuits, and the MCUs, SoCs, sensors and interfaces around them. - Use the full bench of EE diagnostic tools (oscilloscopes, DMM, network analyzers, signal generators, LCR meters, current clamps, HV meters, thermal imaging, microscopy and X-ray where relevant) to isolate faults. - Understand the relationships between in-field events and electronic failures, connecting field data and returns to physical failure signatures on the hardware. - Develop and improve the processes, tooling and ways of working that increase diagnostic accuracy and reduce no-fault-founds. - Work closely with hardware, firmware, production and supplier quality teams to investigate failures and drive corrective action into the design. - Mentor and guide more junior engineers, expanding their technical knowledge and their approach to failure analysis. - Support recruitment for building out a brilliant team, rooted in strong process discipline, technical capability and a tenacious curiosity to figure things out. This is a deeply technical, hands-on role at the board and component level. You'll diagnose failed collar and tower electronics, isolate faults to the specific component, net, or design decision responsible, and translate that understanding into clear, evidence-based feedback that improves product reliability. You'll be central to closing the loop between field and lab performance and our hardware, firmware, and production teams. This is a huge opportunity for the right person - you'll have a lasting impact on farmers across the globe. WHAT YOU’LL BRING - Solid electronics engineering experience, with hands-on expertise diagnosing field failures and connecting real-world events to product failure modes for complex, highly integrated hardware at the board and component level. - A methodical, first-principled approach to root cause analysis, backed by clear evidence rather than assumption. - Strong grounding in electronic circuit fundamentals across analog, digital, power and RF; ideally including ultra-low power IoT designs, batteries, solar, DC-DC conversion, high-voltage generation and insulation, and interfaces such as I2C and SPI. - Proficiency with EE diagnostic and test equipment, and comfortable reading schematics and PCB layouts to trace faults. - Excellent communication skills and the ability to translate technical findings into clear, actionable feedback for cross-functional teams. - A natural inclination to share knowledge, educate and mentor. - A strong sense of ownership and a bias for action — you're not afraid to roll up your sleeves and get stuck into wider challenges when required. - Low ego, highly collaborative, and willing to play for the Front of the Jersey. - A BE degree in Electrical/Electronic Engineering or a similar relevant qualification. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Abu Dhabi, UAE; 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. Responsibilities Own exchange active user metrics (MAU/Cumulative Transactors), define and execute user activation growth strategies Lead consumer-facing growth feature planning and iteration, including task systems, check-ins, rewards stores, and trading incentives Plan and operate user campaigns (trading competitions, airdrops, seasonal events), with ability to build campaign platforms or templatized frameworks from 0 to 1 Continuously optimize activation conversion and retention curves through data-driven approaches (funnel analysis, user segmentation, A/B testing) Coordinate cross-functional resources across design, engineering, data, and compliance to drive project delivery Monitor industry trends and competitor activities, identify actionable growth opportunities Requirements 5+ years in internet product/growth roles, with at least 2 years at a crypto exchange or Web3 platform Demonstrated ownership of activation/retention metrics with proven results (DAU/MAU growth, retention improvement, etc.) Strong consumer-facing product design skills, with 0-to-1 experience in task systems, gamification, or viral growth features Proven track record in large-scale campaign planning and execution Experience with licensed/regulated platforms , understanding of KYC tiering, geo-restrictions, and product trade-offs under compliance constraints Highly data-literate, proficient in SQL/BI tools, capable of designing and analyzing A/B experiments Excellent cross-cultural communication skills, comfortable with multi-timezone collaboration Nice to Have Campaign product experience at super apps such as Taobao/Alipay (e.g., Double 11, Five Blessings, check-in events at billion-DAU scale) Experience at top-tier exchanges (Bybit/OKX/Binance) Experience building Referral/Affiliate growth systems Understanding of derivatives ( futures /options) user behavior Multi-region operational experience (SEA, LATAM , Europe ) 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: Berlin Office Workplace: Hybrid About the role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Forward Deployed Engineer (Ops). You'll spend much of your time working directly with enterprise customers, acting as their trusted technical partner to investigate issues, guide best practices, and help them get the most value from Taktile's AI platform. You will work closely with Taktile’s Engineering, Product and Customer Success Teams, ensuring our customers derive maximum value from Taktile while enjoying a top-tier experience. If you're passionate about tech and AI, stay up to date on the latest AI developments, and have extensive experience with a Decision Platform, REST APIs, Python, and SQL, you'll thrive here.   What You’ll Do as a Forward Deployed Engineer (Ops) - Develop a deep understanding of the Taktile platform and the value it can unlock for our customers. - Support post-onboarding customers with technical problems and product inquiries, maximizing the full potential of our agentic AI workflows for complex decisioning. - Work with Product and Engineering to translate customer insights into product improvements, ensuring Taktile continues to solve real business and technical problems. - Leverage AI to create reusable collateral, best practices, tools, and automations that level up the Customer Success team. - Build strong relationships with Taktile's core users within customer teams. About you - You have 1–2 years of experience in a customer-facing technical role, partnering directly with enterprise customers to troubleshoot technical issues, advise on best practices, and deliver successful outcomes. Experience as a Solutions Engineer, Technical Account Manager, Forward Deployed Engineer, Customer Success Engineer, or Technical Consultant is preferred. - You are familiar with AI concepts including prompt engineering, large language models, and AI Agents. - You are curious and customer-centric, caring deeply about the Taktile platform experience. - You enjoy solving technical problems and finding innovative solutions to customer issues. - You have strong knowledge of APIs and data formats such as JSON and XML. - You are proficient in Python and SQL. - You have strong analytical skills and a hands-on mentality. - You communicate clearly in English with a wide range of customer profiles (engineers, business analysts, risk managers). - You enjoy working directly with customers and are confident leading technical conversations, asking thoughtful questions, and explaining complex technical concepts to both technical and non-technical audiences. - You are open to a hybrid work model and can work from our Berlin office at least three days per week. Ideal Qualifications (but Not Required) - You have a proven ability to navigate, query, and interpret complex systems and application logs. - You have acquired domain expertise in the financial services industry (banking, insurance, lending, payments, etc.). - You have the ability to work flexibly, with a willingness to occasionally work outside of standard business hours. What we offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage AI company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Develop deep expertise in prompt engineering and agentic AI architectures to automate institutions' most complex decisions. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at http://taktile.com/taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Santa Clara, CA Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is looking for a Site Reliability Engineer About the Role This is not a "keep the lights on" SRE role. As our first or early SRE hire you will be building the reliability engineering function at Forward — defining how we think about availability, observability, incident response, and operational excellence across a complex, distributed SaaS platform. You will work closely with engineering, infrastructure, and product to ensure our platform meets the reliability bar our enterprise customers demand. If you thrive in environments where you're handed a problem rather than a playbook this role is for you. What You'll Own Define and drive SRE practices from the ground up — SLOs, SLIs, error budgets, and the frameworks the engineering org will actually use Drive the reliability and operational excellence of the Forward SaaS platform Build and maintain observability infrastructure — logging, metrics, tracing, and alerting — so the team always knows what's happening before customers do Lead incident response: on-call rotations, runbooks, post-mortems, and the follow-through to make sure the same incident doesn't happen twice Partner with engineering teams to embed reliability thinking into the SDLC — capacity planning, load testing, chaos engineering, and production readiness reviews Help define and build the SRE team as the company scales — this is a foundational hire with a path to leadership What We're Looking For 6+ years of experience in site reliability engineering, DevOps, or infrastructure engineering in a SaaS or cloud environment Proven experience building or significantly maturing an SRE function — not just operating within one someone else built Strong fundamentals in networking — TCP/IP, DNS, routing, switching, firewalls, and load balancing. Experience with network management or observability platforms is a significant plus Hands-on experience with Kubernetes and container orchestration in production environments Deep proficiency with observability tooling — Prometheus, Grafana, Datadog, Splunk, or similar Strong scripting and automation skills in Python, Bash, or similar Experience with cloud platforms — AWS, GCP, or Azure — including infrastructure as code (Terraform, Ansible, or equivalent) Track record of owning and improving incident response processes including blameless post-mortems and SLO-driven reliability improvements Ability to communicate clearly with both engineering teams and non-technical stakeholders — you can explain an outage to a customer-facing team without jargon and explain an SLO to an executive without losing them Nice to Have Experience supporting enterprise or federal government customers with high availability requirements Experience in a foundational or early SRE hire capacity at a growth stage company What This Role Is Not A pure ops or NOC role — you are building and engineering, not just monitoring A siloed function — you will be deeply embedded with product and engineering teams A ticket-taker — you will be proactively identifying and solving reliability problems before they become incidents Why Forward You'll be building something from scratch at a company with real enterprise traction and world-class investors behind it Our customers include some of the most complex network environments on the planet — the reliability bar is high and the work is genuinely interesting People-centric culture built by Stanford Ph.D.s who care deeply about doing things the right way Competitive compensation, equity, and the opportunity to grow into a leadership role as the SRE function scales The base pay range for this role is between $230,000 and $250,000. Base pay will depend on your skills, qualifications, experience, and location

Location: Europe ABOUT THE ROLE We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. We are looking for a Senior Product Manager to work on iGaming projects built on the SoftSwiss platform. The role involves driving the product development of online casino and sportsbook projects within a platform-based operating model. Core development, key technical capabilities, and part of the product logic are managed by the external platform. Our responsibility is to manage the product effectively, prioritize improvements, launch new features and A/B tests, optimize funnels, analyze product metrics, and coordinate internal and external teams. We are looking for someone who understands the specifics of the iGaming industry and knows how to work with ready-made platform solutions. This person should not rely on having an ideal in-house development team, but instead know how to deliver results through the platform provider, account managers, third-party providers, CRM, analytics, marketing, affiliate, customer support, risk/fraud, and operational teams. This position is well suited to someone who can think strategically as a Product Manager, act as an owner of delivery, and maintain a high level of operational control. REQUIREMENTS - 3–5+ years of experience as a Product Manager or Product Owner in iGaming - Strong understanding of online casino and sportsbook products, including: - registration; - KYC and verification; - deposits and withdrawals; - bonuses and wagering; - game lobby; - payments; - CRM mechanics; - retention and VIP; - affiliate traffic; - risk and fraud flows - Experience working with platform-based iGaming solutions such as SoftSwiss, TrueLabel, or BetConstruct - Understanding of the limitations of a platform-based model: - development is handled externally; - product changes are delivered through the platform; - some decisions depend on the platform roadmap, account/project managers, and the technical limitations of the out-of-the-box solution - Experience working with product metrics such as: - registrations; - FTD; - deposits and repeat deposits; - ARPU; - GGR and NGR; - retention; - conversion rates; - withdrawal rate; - bonus cost; - wagering completion; - player activity - Experience building and optimizing product funnels: - Registration → FTD → Repeat Deposit → Active Player → Retained Player - Ability to prepare business requirements, user stories, acceptance criteria, checklists, product briefs, and tasks for the platform team - Experience prioritizing tasks based on business impact, user experience, technical complexity, KPIs, and operational risks - Strong communication and stakeholder-management skills - Ability to negotiate with the platform provider, escalate issues, structure requests, document agreements, and drive tasks through to completion - Experience working with multiple stakeholders simultaneously, including: - CRM; - marketing; - affiliates; - analytics; - design; - legal and compliance; - customer support; - payments; - platform and account teams - Ability to work in an environment with uncertainty, incomplete documentation, and changing priorities - Working proficiency in English for written communication, meetings, task-setting, follow-ups, and documentation RESPONSIBILITIES - Drive the product development of iGaming projects built on the SoftSwiss platform - Build and maintain product roadmaps across projects, covering: - new features; - product improvements; - operational changes; - product experiments; - UX optimizations; - platform requests - Analyze product metrics and identify growth opportunities across: - registration; - deposits; - repeat deposits; - player activity; - retention; - GGR and NGR; - CRM funnels - Work directly with SoftSwiss: - create and submit tasks; - clarify technical limitations; - agree on solutions; - control delivery timelines; - validate implementation; - document outcomes - Prepare high-quality requirements for the platform and internal teams, including: - problem statements; - business value; - expected behavior; - acceptance criteria; - checklists; - edge cases - Manage the launch of new product features from ideation and prioritization through testing, release, metrics monitoring, and post-release analysis - Improve key user flows, including: - registration and login; - email and phone verification; - KYC; - deposits and withdrawals; - bonus activation; - wagering; - player communication; - game discovery - Work with bonus logic and CRM mechanics, including: - welcome offers; - deposit bonuses; - free spins; - cashback; - loyalty mechanics; - wagering requirements; - segmentation; - trigger-based campaigns - Monitor the quality of the user experience across desktop and mobile, including: - navigation; - lobby structure; - visibility of key actions; - payment flows; - error messages; - banners and pop-ups; - SEO blocks; - onboarding prompts - Coordinate tasks between internal teams and the external platform, including product, CRM, marketing, analytics, affiliates, customer support, payments, risk/fraud, design, and platform account/project managers - Conduct regular competitor and market analysis across key GEOs, identify product best practices, and adapt them to the platform’s capabilities - Control release quality and ensure that changes: - work correctly; - do not disrupt critical user flows; - meet the original requirements - Escalate blockers and risks when the platform cannot provide the required timeline, solution, or implementation quality NICE TO HAVE - Hands-on experience with the SoftSwiss ecosystem, including one or more of the following: - Casino Platform; - Sportsbook; - Bonus API; - Jackpot Aggregator; - Game Aggregator; - Affilka; - CRM or retention tools; - related modules - Experience launching iGaming projects from scratch or preparing a brand for launch or soft launch - Experience working with Tier-1 markets - Understanding of affiliate business models, redirect logic, domain strategy, traffic sources, and the impact of traffic quality on product metrics - Experience working with: - payment providers; - SMS providers; - KYC providers; - anti-fraud tools; - CRM/CDP platforms; - Smartico or similar player-engagement platforms - Understanding of SEO-related tasks for iGaming products, including SEO blocks, landing pages, indexing, content visibility, and product/UX trade-offs - Experience with dashboards and analytics tools such as Tableau, Power BI, or GA4 WHAT WE OFFER - The opportunity to work with several iGaming projects in an active stage of development - A platform-based operating model where the main technical implementation is handled by SoftSwiss, requiring strong task definition, delivery control, and effective collaboration with an external team - Direct influence on product metrics, UX, retention, monetization, and the operational efficiency of the projects - Cross-functional collaboration with CRM, marketing, analytics, affiliate, customer support, payments, risk/fraud, and platform teams - A high level of independence and ownership of results - Work format: remote or hybrid in Cyprus - Employment type: full-time If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Must be based in or relocate to Singapore. Company: Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 companies worldwide with integrated financial solutions. What you will do: — Own the multi-year vision and roadmap for global support, including service tiers, coverage, and follow-the-sun operations. — Architect and manage a 24/7 operating model with regional hubs, escalation paths, and robust governance. — Define global SLAs (FRT, resolution time) and manage the end-to-end analytics engine for CSAT and NPS. — Lead digital transformation by optimizing the support tech stack and driving AI-driven deflection initiatives. — Act as the primary bridge between Support and Product/Engineering to improve supportability and lead crisis management. — Build a high-performing global team and oversee the vendor/BPO strategy, performance, and commercials. Requirements: — 10+ years in Customer Support/CX, with 5+ years leading multi-region global teams at scale. — Proven track record of improving key outcomes (CSAT, resolution time, cost-to-serve) in high-growth environments. — Expertise in capacity planning, workforce management, and building scalable operational processes. — Strong analytical skills with proficiency in Excel, BI tools (Looker, Tableau), and ideally SQL. — Hands-on experience applying AI and automation (LLMs, automated triage, chatbots) in support workflows. — Must be based in or relocate to Singapore. Nice to have: — Experience in B2B SaaS, fintech, or complex regulated payment environments. — Proficiency with global support platforms like Zendesk and knowledge systems like Confluence. — Success in BPO vendor relationship management, including commercial optimization and compliance. Culture & Benefits: — Environment for successful builders with founder-like energy and a focus on true ownership. — Collaborative culture that values humility and a "get stuff done" mentality. — Opportunity to solve complex, high-visibility problems within a high-growth, well-funded global company. — Commitment to diversity, equity, and equal opportunity employment.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Personal Brand Lead for our Marketing team based in London. WHAT YOU’LL DO: - Develop and execute a comprehensive personal brand strategy for the founder; - Build and maintain strong relationships with media, journalists, and influencers; - Secure interviews, features, and bylined articles in relevant media outlets; - Oversee creation of content such as articles, social media posts, speeches, and thought leadership materials; - Identify and arrange speaking opportunities at conferences, forums, and industry events; - Prepare the founder for public appearances and media interactions; - Monitor and manage the founder’s public image and reputation; - Lead social media strategy and ensure consistent, authentic messaging across platforms; - Track performance metrics and adjust brand development strategies based on insights WHAT WE'RE LOOKING FOR: - More than 5 years of relevant experience in managing the personal brand of a high-net-worth individual and/or public figure (e.g., personal brand manager, celebrity producer, agent, press officer, PR lead, or similar). - Extensive network of Tier-1 and Tier-2 media contacts, event organizers, and bloggers (investor connections are a plus) across the tech, AI, and robotics sectors in the USA, UK, and Europe. - Excellent interpersonal skills. - Ability to perform well under pressure and tight deadlines. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About Solutions Engineering at Cloudflare The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. Job Title: Partner Solutions Architect (PSA) Service Providers. Role Overview LOCATION Dallas, NY New Jersey, Denver or Seattle. The Partner Solutions Architect (PSA) is a high-impact, strategic technical leader responsible for driving the comprehensive pre-sales and post-sales technical relationship with our top-tier Global and GEO Partners, including Service Providers (SPs) and Managed Service Providers (MSP) In this elite role, you will act as the principal architect and single point of technical alignment, collaborating at the executive and enterprise architect level to drive joint global GTM strategy and design repeatable reference architectures. The role focuses heavily on scaling Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI, AI Gateway) globally, embedding Cloudflare into global partner practices, and unlocking massive Partner-Influenced Opportunity (PIO). Key Responsibilities 1. Pre-Sales Architecture, Strategy & Champion Building Global CF1 & AI Technical Alignment, GTM Strategy: Own the overarching technical relationship with top-tier Global/GEO partners to align on building and launching repeatable, global Go-To-Market (GTM) strategies. Accelerate the partner’s global technical capabilities, enabling their enterprise architects to lead discovery and scale secure, resilient, and repeatable architectures leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1). Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned top-tier strategic Global GSIs and SPs. Act as the principal architect mapping global partner business initiatives to technical execution milestones, ensuring continuous alignment on large-scale CF1 and AI adoption targets. Cultivating Global Technical Champions: Identify, enable, and cultivate executive-level technical advocates, practice leads, and "Champions" within the global partner organization to scale Cloudflare expertise independently, generate large-scale Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security. Driving Global PIO via Repeatable Reference Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on creating Repeatable Reference Architectures that allow partners to migrate legacy enterprise network architectures to CF1 and integrate secure AI solutions at scale. Enterprise Deal Support & Qualification: Enable global partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for top-tier Named Partners and high-value, complex global deals. 2. Post-Sales Architecture & Accelerated Services Delivery Global ASD Partner Journey Ownership: Own the Accelerated Services Delivery (ASD) partner journey at the GEO/Global level to ensure top-tier partners possess the advanced, scalable capabilities required to deploy, manage, and support the Cloudflare platform and enterprise AI application workloads seamlessly. Joint Services Offering Acceleration with a strong focus on CF1 and AI: Build, co-develop, and publish joint services catalogues and repeatable reference offerings with key global partners, accelerating the creation and global launch of their own Cloudflare-focused managed services practices, managed CF1 SASE offerings, and enterprise AI security assessments. Global Service Monetization: Enable GSIs and SPs to embed CF1 and Workers AI capabilities deeply into their own global managed security portfolios and core enterprise offerings to shorten time-to-market, protect complex client AI pipelines, and maximize global profitability. Technical Account Governance & Architectural Health: Act as the escalated principal technical point of contact to ensure long-term architectural health across global deployments, utilizing telemetry and proactive design to move the global partner relationship from reactive troubleshooting to advanced CF1 and AI optimization. 3. Automation & Continuous Innovation Leverage Autonomous AI Tools: Champion the use of Cloudflare OS,  AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic global partner engagements. Global AI & CF1 Feedback Loop: Engage key global partner champions and practice leads in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw enterprise-grade product feedback, and drive joint co-innovation on CF1 features and emerging AI products. Cross-Functional Strategy Enablement: Participate in continuous cross-training and steering programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem globally. Required Qualifications & Experience 15+ years of technical, partner-facing experience (e.g., Enterprise Solutions Architect, Principal Systems Engineer, or Technical Account Lead) in cybersecurity, cloud infrastructure, or networking—with a proven track record directly managing Global System Integrators (GSIs) or major Service Providers (SPs). Deep architectural expertise in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with global AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases. Proven track record of developing enterprise technical talent, building global "champion" programs, and authoring Repeatable Reference Architectures within major global partner organizations. Demonstrated ability to manage the technical lifecycle of complex, multi-million dollar global deals from initial pre-sales discovery and global CF1/AI PIO generation through post-sale service delivery. Exceptional communication and executive-presence skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner C-level executives, practice directors, and technical teams alike. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chicago, New York City Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Chicago or New York City. How you will make an impact… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and August 2028 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including a solid foundation of statistics knowledge Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. Some exposure to Natural Language Processing and/or High-Performance Computing is a plus Excellent written and verbal communication skills to report research results as well as methodologies Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DNI

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organised social events to truly discover what it’s like to live and work in London. How you will make an impact… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and October 2028 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including a solid foundation of statistics knowledge Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. Some exposure to Natural Language Processing and/or High-Performance Computing is a plus Excellent written and verbal communication skills to report research results as well as methodologies Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .