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Responsibilities: — Drive growth and success of AI solutions within legal and professional services markets. — Establish and grow relationships with law firms and large enterprise clients. — Understand client challenges and present AI solutions to streamline processes and boost productivity. — Manage a named account list and handle full sales cycle from prospecting to contracting, onboarding, launching, and growing new users. — Achieve and exceed revenue targets and key sales metrics. — Collaborate cross-functionally to tailor solutions to customer needs. — Work closely with engineering and product teams to stay updated on AI advancements. — Build strong, long-term relationships with key decision-makers and stakeholders. — Conduct product demonstrations and presentations showcasing Harvey's AI systems. — Develop sales playbook to enable scaling and document learnings. Requirements: — Minimum 5 years experience in enterprise B2B SaaS sales with proven track record selling complex software solutions. — Experience selling into Quebec/local market with fluency in French. — Ability to lead complex, multi-threaded sales involving executives and product users. — Ability to convey technical concepts to non-technical audiences. — Passion for Harvey's mission and strong understanding of AI applications in knowledge work. — Interest in legal profession and improving lawyers' efficiency. — Self-motivated in prospecting and leading sales cycles independently. — Team player capable of collaborating across internal functions. — Enthusiastic about developing sales processes and refining value propositions. Conditions: — Must be located in Quebec; work remotely with occasional visits to Toronto office. — Compensation: CAD $380,000 - $420,000 OTE 50/50. Harvey is an equal opportunity employer committed to diversity and reasonable accommodations for applicants with disabilities.

Location: Indonesia; Nigeria; Turkey; United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Responsibilities: - Develop a world-class, cross-platform Flutter mobile app. - Be accountable for design, delivery, and implementation aligned with product vision. - Work collaboratively in a professional and innovative environment. - Engage in customer journey to ensure positive user experience. - Deliver work packages and individual tasks by agreed deadlines. - Provide realistic time estimates and identify risks. - Use Flutter with existing and new frameworks to evolve the digital platform. - Utilize resources efficiently to avoid duplication of work or code. - Ensure code scalability and maintainability for other engineers. - Collaborate on specification documents with accurate technical information. - Document complex work clearly for ease of problem diagnosis. - Proactively develop technical skills and stay updated with industry developments. - Help define processes and procedures to improve work practices. - Perform other reasonable responsibilities as required. Behaviours and qualities: - Fluent in business and technical English. - Strong analytical skills. - High attention to detail. - Ability to quickly grasp complex technical concepts. Requirements: - Experience in Flutter app development, working with wider technical teams on multiple projects. - University education or equivalent software industry experience. - Experience producing apps with complex functionality. - Understanding of practical architecture. - Excellent experience with git source control. - Experience preparing technical documentation. - Excellent organizational skills. - Design awareness. - Understanding of best practices for customers and businesses.

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 40M+ users worldwide, 6M+ generations per day, and powering 430 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. What you’ll do - Create shots and scenes for animated and cinematic AI-driven productions using generative video tools - Bring characters to life through acting, emotion, timing, and body language - Keep characters on model and fix what breaks: unnatural motion, inconsistencies, timing issues - Combine AI generation with traditional animation and compositing where needed - Take notes from the creative director with fast turnaround - Help define new AI-integrated animation workflows What we’re looking for - 2+ years of professional experience in animation (2D or 3D) or a degree in animation. A strong showreel matters more than your CV - Solid grasp of animation principles: timing, spacing, weight, arcs, and appeal - Understanding of anatomy and physical motion, with a trained eye for what feels right and what feels off - Experience with 2D or 3D animation software - Drawing, editing, or compositing skills are a plus - Experience with AI video tools is a plus. Openness matters more than expertise What we offer - Cutting-edge projects at the intersection of film, animation, and GenAI - High creative ownership and a fast team without bureaucracy - Competitive compensation

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION $150,000-$190,000 base salary + equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

The VITAS Healthcare Patient Care Coordinator is a member of the interdisciplinary team who effectively processes calls, answers general questions, provides information, and transfers calls to triage nurses when appropriate during alternate hours. Promptly answers and screens incoming calls, with appropriate escalation as needed.

Location: South Africa, Western Cape, South Africa 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 . Role: Technical Recruiter Location: Cape Town, South Africa Experience Level: 7+ years of technical recruiting experience Work Arrangement: Remote, with working hours aligned to 9:00 AM to 5:00 PM U.S. Eastern Time Why Join Turing? Exceptional talent builds exceptional teams, and exceptional teams shape what Turing can achieve. As a Technical Recruiter, you will own searches from intake through successful start. You will source, assess, engage, and close exceptional talent while partnering closely with hiring managers and candidates throughout the process. Although the role is grounded in technical recruiting, you will support both technical and nontechnical hiring as business priorities evolve. You will also use AI, automation, data, and recruiting technology to improve quality, speed, and effectiveness. As a Technical Recruiter, You Will Own Full-Cycle Recruiting Independently manage assigned requisitions and candidates from intake through successful start. Build qualified pipelines through targeted research, talent mapping, personalized outreach, referrals, and professional networks. Maintain accountability for hiring outcomes, candidate progression, and timely requisition updates. Recruit Across Functions and Geographies Recruit for technical and nontechnical roles across multiple functions and geographic markets. Recruit senior technical roles across London, New York, Seattle, and other international markets. Build local market knowledge and adapt sourcing strategies to different talent pools. Partner With Hiring Managers Define role requirements, calibrate candidate profiles, establish sourcing strategies, and align on evaluation criteria. Provide informed recommendations on candidate qualifications, talent availability, compensation expectations, and hiring strategy. Build trusted relationships with hiring managers and serve as a thoughtful advisor throughout the search. Assess, Engage, and Close Candidates Evaluate candidate qualifications, experience, and role alignment using sound judgment and consistent standards. Coordinate structured interviews, timely feedback, and hiring decisions while proactively resolving obstacles. Develop closing strategies based on candidate motivations, competing opportunities, compensation expectations, and potential concerns. Improve Recruiting Operations Use approved AI, automation, and recruiting technologies while maintaining human judgment and candidate confidentiality. Identify improvements that reduce administrative work, accelerate candidate progression, and improve recruiting outcomes. Maintain accurate, complete, and timely requisition and candidate data in Greenhouse and other relevant systems. The Opportunity Own the outcome: You will be accountable for your searches from intake through successful start, not simply for completing individual recruiting tasks. Build trusted partnerships: You will work directly with hiring managers and candidates and influence hiring decisions through strong judgment and clear communication. Recruit across markets: You will identify and engage senior technical talent across North America, Europe, and other global markets. Raise the operating standard: You will help improve how Turing recruits through disciplined execution, better use of technology, and continuous process improvement. Our Technical Recruiters Typically Have Full-cycle recruiting experience: Seven or more years of experience independently sourcing, assessing, engaging, and closing candidates across the full recruiting lifecycle. Senior technical recruiting experience: A track record of recruiting senior technical roles, including software engineering, AI, data, infrastructure, or related disciplines. Global recruiting experience: Experience recruiting for roles in geographies outside your own, including North America and Europe. Market familiarity: Familiarity recruiting senior technical talent in markets such as London, New York, and Seattle. Talent intelligence: The ability to apply market insights to strengthen sourcing strategies, candidate assessments, compensation discussions, and hiring decisions. Candidate and stakeholder judgment: Strong communication, relationship-building, organization, and judgment across candidates, hiring managers, and cross-functional partners. AI-enabled execution: The ability to use approved AI tools, automation, data, and recruiting systems to improve recruiting quality, speed, and effectiveness. Candidates whose experience is limited to recruiting coordination, interview scheduling, or transactional sourcing without full-cycle ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience recruiting senior technical talent in competitive markets such as London, New York, and Seattle. Experience recruiting across multiple international markets and adapting strategies to local talent pools. A track record of building passive candidate pipelines and closing candidates in competitive talent markets. Experience using AI, automation, recruiting analytics, or other technology to improve recruiting execution. Strong experience partnering with senior technical leaders on role definition, candidate calibration, and hiring strategy. 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: Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India 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 . Role: Performance Marketing Analyst (Growth Analyst, Paid Acquisition) Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Performance Marketing Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Performance Marketing Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Performance Marketing Analyst, Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. 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: Bengaluru, Karnataka, India 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 . Role: Growth Analyst, Paid Acquisition Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Growth Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Growth Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Growth Analysts Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. 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: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision. Your responsibilities will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Nice to have: - Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Role Overview As an Account Executive – EMEA, you will hunt new logos while driving growth within strategic semiconductor accounts across Europe, the Middle East, and Africa.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

• Dasturlash tajribasi: 3–6 yil; • Python, Django va Django REST Framework texnologiyalarida erkin ishlash ko'nikmasi;

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

Location: Limassol, Cyprus Spotware Systems is looking for a motivated Senior QA Engineer to join our highly-professional backend team in our Limassol office. The position requires collaborating with product managers and team members to meet strict deadlines. You will work closely with software developers regarding our product’s functionalities. You will be involved in functional testing, customer scenario testing, stress testing, performance testing, sanity testing and overall QA improvement process. Key responsibilities : Performing requirements analysis. Communicating with product managers and developers. Testing design. Ongoing manual/automate functional/non-functional testing. Performing bug tracking and reporting. Requirements : 4+ years of experience in Quality Assurance position (backend projects). 2+ years troubleshooting Java. Read and debug production Java to find the cause. Reading of Java is required. Real non-HTTP protocol testing: TCP, Protobuf, gRPC, FIX, or queues (RabbitMQ/Kafka). WebSocket alone doesn't count. Test design techniques (boundary value analysis, equivalence partitioning, state transition). Requirements analysis (impact, traceability, functional & non-functional). Challenge vague specs before implementation. SQL beyond SELECT - joins, verification queries. Linux CLI + log reading (ssh, grep/zgrep over rotated logs). AI in daily work - use it (e.g. Claude) for analysis and tests, validate against source, logs, measurements. No blind trust. Fluency in Russian and B1+ in English language. A plus to have: Java (or another language) test-automation coding - building/maintaining integration/E2E test frameworks. Performance testing (JMeter, VisualVM), Protobuf load profiles. PostgreSQL, Redis. Forex experience. Forex industry experience. Conditions: Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.