Вакансии

Location: Czech Republic THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Andean Workplace: Hybrid THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Caribbean THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Bulgaria THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Austria Workplace: Hybrid FORWARD DEPLOYED ENGINEER, (F/M/X) AUSTRIA - HYBRID THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Fluent German (C2) and English - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. If this sounds like the kind of work you want to do, we should talk. Apply here. Everyone will receive a response. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Adriatics THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Remote About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. AI Content Creator — Get Paid to Create Short-Form Content! Do you love being on camera? Enjoy creating content and telling stories? Want to get paid competitively for short, flexible projects you can do on your own schedule? We're looking for engaging, creative individuals to join us as AI Content Creators. In this role, your personality and creativity are your biggest assets. You'll help shape the future of AI by producing short-form video content based on project briefs — no two assignments are exactly alike. What You'll Do As an AI Content Creator, you will: Film short video clips ranging from 30 seconds to 2 hours based on project guidelines Create content across a variety of topics, formats, styles, and settings Follow detailed creative briefs to ensure content quality, variation, and accuracy Upload completed content through provided tools and platforms Work independently, manage your own time, and meet project deadlines Support the development and improvement of next-generation AI technologies Who You Are You'll thrive in this role if you: Are comfortable and confident on camera Are reliable, self-motivated, and can take direction well Enjoy task-based, flexible work that changes from project to project Have a smartphone or camera capable of shooting quality video Can follow creative briefs carefully and consistently Experience as a content creator is a plus, but not required Why You'll Love This Role Competitive pay — average $80/hour for approved work Flexible schedule — create content when and where it fits your life Perfect for creators, performers, and anyone who loves being on camera A chance to directly influence cutting-edge AI systems No prior experience required — just confidence, creativity, and a willingness to show up! If you're ready for gig work that lets you express yourself and get paid for it, we'd love to have you. Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal. Up to $80/hour for US-based candidates.

Location: London 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. We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform. Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly. Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities: Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience. Qualification and Experience: Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment. Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI. 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-SK1]

Location: New York 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. We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform. Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly. Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities: Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience. Qualification and Experience: Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment. Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI. The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. 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-SK1]

Location: Barcelona, Spain SENIOR ECOMMERCE GROWTH STRATEGIST Our Mission is to be able to say - “Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price” We’re seeking a Results-Driven & Experienced Senior Ecommerce Growth Strategist to join our team. The Senior Ecommerce Growth Strategist at Common Thread Collective (CTC) plays a critical role in driving client success. You will lead the development of accurate strategic forecasts that guide our clients toward their goals, ensuring seamless execution of strategies that translate forecasts into measurable growth. Your actions and decisions consistently resonate with the core values of CTC Global, serving as a beacon for these principles. At CTC, your trained expertise is invaluable, covering the entire spectrum of CTC’s Strategic Forecasting methods and the foundational principles of media acquisition. Beyond strategic planning, you are an active partner in client growth, maintaining transparent communication about the actions taken and performance relative to forecasts. This engagement strengthens relationships and ensures that CTC’s clients have a clear roadmap to success while guiding them through the complexities of media acquisition and strategy. You stand as a representative and zealous advocate for CTC's unique approach to media acquisition and its accompanying tools. As a Senior Ecommerce Growth Strategist, you set a high standard. People know that when you are involved, execution at the highest level is guaranteed. You see your goals as barriers to break through and take great pride in giving your all. We value the mantra of “Everyday in Everyplay, Count on Me” meaning that you can see things through to the end! WHAT WE LOOK FOR This place isn’t for everyone, but it might be for you if… Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business. To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values. We recognize these values aren't for everyone. They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant. AUTODIDACT Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers . Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction. Demonstrates resourcefulness, and independently refine your skills without being prompted. Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight. UNIMPEACHABLE CHARACTER Embodies a character that inspires pride in both personal and professional associations. Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation. Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset. Values constructive feedback and integrates it, understanding nothing great is built without feedback. COMPETITIVE GREATNESS Performs at their best when it matters most, The Enjoyment of Hard Challenges. Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources. Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required. Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle. What Success Looks Like KICK OFF PERIOD Be willing to put in the hard work required and be hungry enough to go through the kick off. Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill. The ability to take feedback and implement it fast. Finish the work to the fullest with quality and on time. Perseverance. Remember and learn from the repetitive doing of the exercises. ONBOARDING Align with the team and contribute to the team called Brain Trust for Ideas across clients. Manage, align & work with the team members of your pod including Google strategist, Creative Strategist, and Email Strategist. Ability to organize, prioritize, and manage multiple tasks with great attention to detail. Upkeep of data integrity of your clients across Statlas. Be responsible for the execution of the Prophet system for your clients Building a Growth Forecast for your clients Building a Growth map using the Prophet System Data Analysis required for the Map Marketing calendar alignment and upkeep with clients The Daily Execution and Actualisation vs the Forecast. You make tactical deconstructions and actualize the projections each day to adjust them to meet KPIs Combine data analysis and feedback from clients to develop strategic plans for the future. When it’s time to pivot you are among the first early adopters Take a lead in situations that present any obstacle to execution. An insatiable curiosity, and an inability to leave a problem alone until you’ve found one or many different potential solutions. Responsible for the implementation of CTC’s Meta best practices Build campaigns using our structure and best practices Upkeep and management of our ideologies and processes throughout the account. Monitoring active campaigns, and adjusting budgets and strategy to ensure the best possible chance of hitting the Daily Projected Targets Implementing tests in your accounts in an effort to beat your best-performing campaigns. ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK Ensuring you are within a 5% Delta to the Forecast Ensuring daily alignment with the client vs the forecast & strategy Ensuring above benchmark client satisfaction rate feedback Ensuring following the Prophet system execution to 100% within the timeline required. Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail. Client Communication You are a champion of communication, ensuring the client is aligned on the Growth Map goals and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines. Responsible for sending daily performance updates to the client Ensure alignment across Strategy and Forecast with the client for every day of the week. Providing weekly updates on the Weekly Strategy Call. CONTRIBUTING BACK Contributing your learnings back to the system for feedback and continuous improvement Contributing & collaborating in ideas and learning across teams Contributing to ideas and learning in future company content production. NEXT-LEVEL SKILLS Communication Skills Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders. Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence. Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making. Great Data Analysis skills Strong raw talent for data analysis, with an eagerness to learn and improve. Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience. Past Experience Historical expertise that compounds to bring a well-rounded perspective and adds value to the role. A breadth of experience from any of the multiple domains, including mathematics, data analytics, business operations, retail, finance, media buying, etc Critical Thinking Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems. Naturally adept at dissecting issues and proposing practical, impactful solutions. Impact Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry. Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact. Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy. Results You will merge the Finance and Marketing sides of a business to build a forecasted strategy to help the business achieve its goal. Achieve certification and confidence in our ideology by the end of training, enabling precise execution of the Prophet system to ensure top-quality results for clients. Consistently deliver high-accuracy performance within a 5% delta across the Prophet system’s Growth Map and Statlas. Lead and collaborate with your team to optimize productivity and maintain high-performance standards. Apply best practices in media buying to drive outstanding results, ensuring no one could achieve better outcomes in your role. Maintain client satisfaction levels above benchmark rates, aligning daily on forecasts to exceed client expectations. Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution. Meet all deadlines and budget requirements, ensuring timely and on Target Performance. Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation. DOMAIN MANAGEMENT Your supervisor would be Joy Sharma, The Director of the CTC Accelerator Program. You’ll report directly to Joy Sharma —a leader known for his relentless pursuit of excellence and an unmatched passion for growth strategy. Joy is a rare mentor, often described as the closest you’ll come to learning directly from Taylor Holiday himself. With a career built on his own rigorous, self-driven learning, Joy has transformed numerous team members into top-tier strategists, instilling in them the values of dedication, precision, and continuous improvement. Working under Joy's guidance will push you to your limits in the best possible way. He models the value of hard work, and learning from him feels like “drinking from a firehose”—you’ll absorb knowledge quickly and consistently, experiencing tremendous growth. Joy is committed to personally ensuring you reach your full potential as a Senior Ecommerce Growth Strategist, supporting your journey every step of the way. COMPENSATION Competitive compensation with a structured performance-based component, to be discussed during the interview process. ORIENTATION This role will be client-facing. Growth, Transparency, and Fairness in Career Development Progress is Clearly Defined Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level. Fairness and transparency are prioritized Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics. Pay transparency is upheld for all team members With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress. My Commitment to You: You will work harder, learn more than ever before, and “make more than you ever have.” You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression. We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it. Location & Environment Fully remote with the ability to pick your schedule. Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you’re consistently challenged and engaged with new opportunities daily.

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire an AI Platform Administrator to join our rapidly expanding team. About the Role We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions. You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it. This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. What does the role look like? Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users. Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable. Review AI prototypes and judge whether they are ready for production. Refactor prototype code into maintainable, tested, documented services, mainly in Python. Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls. Containerize solutions (Docker) and prepare for deployment on our cloud platform. Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs. Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates. Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour. Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams. Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines. What do you need to succeed in this role? Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself. Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management. Strong Python skills, plus experience with REST APIs, webhooks and system integrations. Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling. Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one. Experience with at least one major cloud provider (AWS, Azure or GCP). A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security. Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production. A structured, documentation-minded approach and a high level of ownership. Will be considered a plus: Experience with AWS Bedrock and Amazon Bedrock AgentCore. Experience with Microsoft 365 / Entra ID administration. Experience in FinTech, brokerage, banking or another regulated industry. Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases. Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize). Experience with MCP servers, Claude Code or similar developer AI tooling. Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot. Understanding of data governance, GDPR and AI risk management. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire an AI Platform Administrator to join our rapidly expanding team. About the Role We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions. You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it. This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation. About Tic kmill . Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards .  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. What does the role look like? Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users. Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable. Review AI prototypes and judge whether they are ready for production. Refactor prototype code into maintainable, tested, documented services, mainly in Python. Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls. Containerize solutions (Docker) and prepare for deployment on our cloud platform. Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs. Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates. Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour. Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams. Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines. What do you need to succeed in this role? Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself. Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management. Strong Python skills, plus experience with REST APIs, webhooks and system integrations. Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling. Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one. Experience with at least one major cloud provider (AWS, Azure or GCP). A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security. Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production. A structured, documentation-minded approach and a high level of ownership. Will be considered a plus: Experience with AWS Bedrock and Amazon Bedrock AgentCore. Experience with Microsoft 365 / Entra ID administration. Experience in FinTech, brokerage, banking or another regulated industry. Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases. Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize). Experience with MCP servers, Claude Code or similar developer AI tooling. Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot. Understanding of data governance, GDPR and AI risk management. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Dhahran, Saudi Arabia Eram Talent is looking for a passionate and creative Graphic Designer to join our talented team. In this role, you will be responsible for conceptualizing and designing visually appealing materials that communicate our brand message effectively. You will work on a variety of projects including digital graphics, print media, branding elements, and promotional materials. The ideal candidate will have a strong artistic vision and the technical skills to bring ideas to life. At Eram Talent, we value innovation and creativity, and we encourage our designers to explore new techniques and stay updated with industry trends. The primary role of the experienced graphic designer is to support less complex activities related to designing executive QBRs, business plan presentations, quarterly newsletters, recognition programs, awareness booths and media, employee engagement activities, and townhall events. Additionally, the graphic designer is expected to collaborate with the automation team to assist in designing dashboard platforms, visuals, and reports. Responsibilities Evaluate design instructions and determine requirements Conceptualize visuals based on requirements Suggest drafts and ideas for review Create illustrations, visuals, and other designs using software or manual drawings Use appealing colors and outlines in each graphic Collaborate with group leaders and relevant stakeholders to produce final designs Test graphics across various media platforms Modify or redesign tasks based on feedback Ensure all graphics and outlines are visually appealing and aligned with brand standards Requirements Bachelor's degree in Graphic Design, Visual Arts, or related field. Proven experience in graphic design, with a strong portfolio showcasing your work. Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and other design software. Technical skills in Power BI Creativity in developing illustrations and animations Strong understanding of design principles, typography, and color theory. Ability to work collaboratively in a team environment and communicate ideas effectively. Detail-oriented with excellent time management skills. Knowledge of web design and basic HTML/CSS is a plus.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote-friendly . We are looking for a thoughtful, high-impact Staff Product Designer to join our Growth Design team. You will help shape how people discover Reddit, convert to app, engage more deeply, and keep coming back. You will bring clarity to ambiguity, turn big goals into strong design strategy, and operate as a co-architect of the roadmap alongside Product and Engineering. You will thrive here if you enjoy high-velocity experimentation, can turn complex user behavior into seamless engagement loops, and know how to identify the systems, patterns, and product bets that unlock growth across multiple surfaces and teams. What you'll do: Lead through ambiguity by turning broad business problems into clear design strategies, phased plans, and actionable scopes across the Growth portfolio. Drive end-to-end growth work not just as a single-feature owner, but as a designer shaping the broader engagement system. Shape high-visibility experiences across both Reddit-owned and partner surfaces, ensuring Reddit is represented with clarity, quality, and strategic intent. Use coding tools like Cursor or similar environments to build high-fidelity, functional prototypes that feel real, use real data, and help de-risk complex ideas before they ship. Act as a strategic partner to Product, Engineering, and Design leadership, helping influence priorities and connect rapid experimentation to longer-term product direction. Present multiple design directions with confidence to senior and executive leadership, using data-driven insight, strong product judgment, and design intuition to support your recommendations. Maintain a high bar for visual and interaction design while helping raise the bar for the broader organization through systems thinking, reusable patterns, and new components that scale for Growth and the rest of Reddit. Translate complex data, user behavior, and experiment results into simple, compelling narratives that build confidence with executive stakeholders and create momentum around the right product bets. What we're looking for: 8-10+ years of product design experience, ideally in growth, platform, or high-scale consumer technology environments. Proven ability to operate at Staff scope, driving impact beyond a single team or feature area and influencing product direction across a broader portfolio. Proficiency in prototyping via code using tools like Cursor, along with a belief that the best way to test an idea is to build it. A strong portfolio that demonstrates mastery of craft, systems thinking, and measurable impact on acquisition, conversion, retention, or other core growth outcomes. Comfortable working in an environment defined by rapid iteration, A/B testing, and pivoting based on performance data. Exceptional storytelling, writing, and presentation skills, with the ability to synthesize complex ideas into compelling narratives for senior and executive-level reviews. Strong judgment and leadership presence, with the ability to navigate complexity, create clarity, and influence cross-functional teams through ambiguity. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote #LI-YK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $194,600 — $272,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Philippines Workplace: remote Contract Type: Freelance Language: English (Philippines)   About the Role  We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.    What You Will Do:  - Review and label content for sentiment, factual accuracy, and reasoning issues.  - Evaluate model outputs across quality dimensions using scoring frameworks.  - Validate automated assessments and identify discrepancies or errors. Requirements: Advanced English proficiency (reading and writing) with professional-level fluency. Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications. Previous experience in data annotation, AI training, or related projects. Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains. Exceptional attention to detail and accuracy. Proven analytical reasoning and critical thinking abilities. Consistency in decision-making across high volumes of tasks. Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: USA (Remote) / Barcelona, Spain Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. We are seeking an independent board director with deep experience operating ML-driven products and data platforms at scale . This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where data, experimentation, and machine l earning directly drive product decisions, optimization, and revenue growth . The ideal candidate brings expertise in areas such as: building strong data science organizations; designing data platforms and experimentation infrastructure; integrating ML into product decision loops; developing operating cultures built around data and experimentation; This is a non-executive board position , not an operating role. Appodeal is building a performance-driven technology platform powered by data and machine learning . Our systems rely on: large-scale data pipelines; real-time decision systems; automated optimization; experimentation and model iteration. The company operates an ecosystem including: advertising infrastructure; demand-side platform (DSP); supply-side platform (SSP); mobile game publishing and development. Machine learning and data infrastructure are core to the company’s long-term competitive advantage . Strategic Focus of the Role The mission of this role is to strengthen the board’s ability to guide the company in building a world-class data and machine learning organization . The director will contribute a perspective on: structuring and scaling data science teams; designing experimentation-driven product cultures; building high-quality data platforms and infrastructure; integrating ML systems into business decision processes; best practices for data-driven product development; organizational structures that allow ML systems to improve continuously. This role focuses on how ML-driven companies operate , rather than on the underlying algorithms themselves. Responsibilities Board members are expected to: Participate in quarterly board meetings; Provide independent strategic guidance to the CEO and leadership team; Contribute to discussions around data platform strategy and ML-driven product development; Provide perspective on organizational structure for data science and ML teams; Help evaluate major technical and infrastructure investments; Share insight from companies where ML directly drives business outcomes; Board members are not involved in day-to-day operations . Ideal Background We are looking for a technology or product leader who has built ML-driven product organizations where data science plays a central role in revenue generation and product optimization. Prior board experience is welcome but not required. What We Value We are looking for individuals who bring: deep experience running ML-driven product organizations: strong operational judgment; experience building data-driven engineering cultures; an independent mindset; willingness to challenge assumptions constructively. Time Commitment Estimated commitment: approximately four weeks per year . This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

Location: Remote, Canada Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. The Role   We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.   Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $144,000-181,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.