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Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment Security Architecture | Cloud | AI Security | Enterprise Platforms We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems. Key Responsibilities Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk. Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls. Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services. Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms. Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows. Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services. Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls. Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments. Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness. Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background. Required Qualifications 15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level. Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments. Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud. Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs. Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls. Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle. Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations. Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams. Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience. Preferred Qualifications Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments. Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems. Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments. Development or automation experience in Python, C++, Java, or similar languages. Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement. Penetration testing, adversarial security, or attacker-minded design experience. Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Tbilisi; Chișinău; Minsk; Warsaw Workplace: hybrid About the Role:     Our National Retail Solutions brand is a highly successful Point-of-Sale (POS) SaaS business, rapidly expanding into new sectors with over 40,000 software and hardware terminals in independent retailers like: convenience stores, bodegas, liquor stores, small grocers, and tobacco shops.  We’re looking for a highly technical, hands-in-code Engineering Manager, with experience building highly scalable and robust systems who wants to focus on: 1. Team Building: Hiring, Coaching, Firing. 2. Engineering Process: Agentic Development. 3. Technical Leadership. You’ll work cross-functionally with engineering, design, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that solve real operational challenges for our customers. This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter. Requirements: Proven Leadership Experience: 5+ years in technical leadership and people management at a SaaS business. Product background: Experience building Point-of-Sale (POS) systems is a strong plus. Technical Depth: Proven background as a software engineer with a track record of driving large-scale distributed systems or complex platform architectures. Talent Development: Proven experience in scaling engineering orgs (e.g., growing teams from 10 to 15 engineers) and building career frameworks. Communication & Influence: Exceptional stakeholder management skills with experience presenting to executive leadership and non-technical stakeholders. Language Proficiency: Good command of English, at B2 level or higher. Will be a plus: Professional fluency in Russian. Experience with AngularJS, PHP, and PostgreSQL. Experience with document databases and caching frameworks. Experience building Point-of-Sale (POS) and/or e-commerce systems, as well as working with payment systems. We offer you: Hybrid/office in Belarus or remote b2b in Poland/Georgia. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance.   The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement.   You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation. The main responsibilities of the position include: Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies. Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation. Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring. Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations. Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions. Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices. Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight. Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework. Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability. Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice. Collaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects. Collaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption. Maintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation. Represent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities. Main requirements: BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience. At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team. Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications. Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation. Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools. Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions. Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs. Solid understanding of IT engineering metrics and data-driven measurement of development performance. Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks. Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations. Experience presenting to and working directly with senior or C-level stakeholders. Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences. Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications. Proficiency in written and spoken English. Ability to work independently and collaboratively in fast-paced environments. Strong analytical and problem-solving skills. Strong organisational skills, with the ability to manage multiple initiatives and priorities. Willingness and ability to continuously learn and upskill. The following will be considered an advantage: Experience in fintech, trading or financial services. Experience working with or within an innovation lab or applied research environment. Experience with AI or IT engineering maturity frameworks. Experience representing an organisation at external technology events and industry forums. Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities Attractive relocation package and support for a smooth relocation for you and your family The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and the router deciding which model answers each request is ours too. The Auto Router Our promise is one enforcement layer for your AI: budgets, spend attribution, and model routing, applied before a request ever hits a model. The Auto Router makes the call: for every request, which model serves it. Eight open-source models whose input prices span more than 20×, cached input up to 50× cheaper than fresh, frontier providers on customers' own keys, and a coding agent that fires hundreds of requests before its task is done. Frontier-level task success at a fraction of the token cost: that sentence is the product, and it stays true only if the model inside the router keeps getting better. That model is yours. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Every request gets a decision: which model serves it. This is an applied-ML seat, not an infrastructure one. Platform engineers own the proxy, the streaming path, and the fleet. You own the model inside them: the training data, the objective, the evaluation, and the iteration loop that ships a better router every cycle. The problem: routing is a prediction problem wearing a product's clothes. For every request you predict the quality each candidate model would deliver, what it would cost, and how fast it would decode, and you have to be right enough, in aggregate, that the savings are real and the quality never dips below frontier. The data is messy: rollout outcomes from benchmark harnesses, per-request records from the live fleet, override signals, and token streams whose speed depends on the serving concurrency at the moment. Speed itself is a correctness variable: on deadline-bound agentic work, a model that decodes three times slower doesn't do the same work slower, it does less work. That's why naive cost-per-token objectives quietly optimize for the wrong thing. And the bar for evidence is high: a router change ships only after production-parity evaluation with error bars, then gets held to its numbers in live traffic. Stack: Python; PyTorch; SQL at scale (ClickHouse); OpenAI- and Anthropic-compatible LLM APIs; benchmark and rollout harnesses (RouterBench-class); GitLab CI. Requirements You've spent 5+ years in applied ML or ML research, and you've trained, evaluated, and shipped models that make real-time decisions (ranking, recommendation, bandits, pricing, or LLM routing) and you can tell that story with receipts. Strong Python and SQL at scale: you can pull, clean, and interrogate millions of request-level records without waiting on anyone. You know the difference between a model that got better and an eval that got easier. You have real opinions about what LLM benchmarks measure, agentic harnesses included. You know enough serving reality (TTFT, decode speed, batching, prefix caching, concurrency) to model the objective honestly. You instrument before you optimize, error bars and all. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Own the routing model end to end: features, objective, training, calibration, and release cadence. Iterate it like a product, not a research artifact. Build the evaluation that gates every change: production-parity benchmarks, router-vs-router comparisons, holdouts by task family, error bars on pass rates. Nothing ships on vibes. Turn fleet data into training signal: per-request outcomes from production, benchmark rollouts, and override feedback, with failure categorization (infra vs task) so poisoned labels never reach the policy. Model the objective the user actually experiences: task success × token cost × wall-clock speed under the real concurrency regime, with cached-input economics in the picture. Run the online loop: shadow, A/B, full rollout, drift monitoring, retrain. When production disagrees with your offline eval, you find out why before the next ship. Push the frontier where it pays: calibrated decisions, abstention under uncertainty, speed-aware routing. We experiment on what a router should be, not just which model it picks today. Partner with platform engineers on instrumentation: the features and labels recorded per request (decode speed first-class among them) and the experiments the data path must support. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Tel Aviv, HQ Workplace: OnSite ABOUT THE ROLE You sit inside a product group and own its go-to-market from 0 to 1. You work with the field on the first customers, learn how to sell this product, and turn that into a playbook the whole org can use. WHAT YOU'LL DO - Build the playbook. Define how we sell your product: buyer personas, value proposition, use cases, demo story, positioning and messaging, and pilot structure. Work with the Head of Commercialization on pricing and packaging. - Go 0 to 1 with the field. Join the first deals. Run discovery, shape the demo around the customer's business case, and test the playbook in real conversations. Scout for design partners for new capabilities. - Design pilots that succeed. Set the scope, success criteria and business impact story for each POC. Spot risks early and run root cause analysis when a pilot gets stuck. - Hand it over to scale. Make what works easy for other teams, inside Wonderful and at the customer, to run without you. You own the content, they own the rollout. - Feed the product. Turn what you hear from customers into clear, prioritized input for PM and engineering. - Expand into target regions. Identify the local subject matter capabilities required and recruit local talent. WHAT YOU BRING - 4+ years in a technical, customer-facing role at a product company: solutions engineering, pre-sales, technical product management, or technical BD. - You're a builder. You can put together an agent, connect APIs and debug a demo in front of a customer. - Commercial instinct. You can run a business requirements discussion, build a business case, and know why pilots and deals get stuck. - You can talk to a CTO and to a business buyer in the same meeting. - Excellent written and spoken English. You present daily. - Based in Tel Aviv, happy to travel. STRONG PLUS - You've shipped LLM-based agents to production (prompting, tool use, evals). - You've taken a product from its first customers to a repeatable motion. - You've built playbooks that other teams use, for example deployment, onboarding or change management. - Exposure to pricing or enterprise sales cycles. WHAT SUCCESS LOOKS LIKE - A proven playbook for your product: personas, value proposition, demo story and pilot structure, tested with real customers. - Other teams run the playbook without you: the field, DS and FDEs, and customer teams. - Demo-to-POC conversion and POC success rate in your group are up. - A pricing and packaging proposal for your product is live. - PM gets a steady, useful flow of customer input. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Задачи: — поддержка агентов службы поддержки клиентов (CX agents) — разрешение эскалаций — предоставление точных рекомендаций по политике компании Требования: — коммуникационные навыки — управление кейсами — знание процедур — ведение документации — навыки деэскалации конфликтов — знание политики компании — опыт работы с эскалациями — опыт работы в обслуживании клиентов Условия: — гибридный формат работы — локация: Денвер, Колорадо — оплата $20–25 в час

Location: Abu Dhabi, United Arab Emirates; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Amman, Jordan; Kuwait City, Kuwait; Doha, Qatar Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Full-Stack and AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Design, configure, and manage cloud-based lab environments, including Azure Databricks workspaces, AI coding tools, and development repositories. Develop hands-on technical exercises, starter repositories, and training materials for a 3-day programme. Prepare and validate access requirements, permissions, and technical setups before training delivery. Lead practical workshops covering AI-driven software development, agentic coding, CI/CD, and deployment automation. Deliver hands-on training in data engineering, including Spark, Delta Lake, ETL/ELT pipelines, lakehouse architecture, and data governance. Demonstrate AI platform security, including LLM guardrails, model access control, prompt injection prevention, and production monitoring. Conduct Azure Databricks labs covering workspace configuration, notebooks, Delta tables, pipelines, and model inference. Guide participants through integrating AI capabilities into full-stack applications using Python and TypeScript/JavaScript. Perform live coding, troubleshoot technical issues, and support participants with different experience levels. Facilitate team-based capstone projects involving AI-integrated application development. Collaborate with the AI instructor to coordinate technical sessions and practical exercises. Provide complete lab materials and a post-training delivery report. 5+ years of professional software engineering experience, including full-stack development with Python and TypeScript/JavaScript. Strong hands-on experience integrating LLM APIs and developing production AI applications. Proven production experience with Azure Databricks, including workspace configuration, Delta Lake, jobs, and data pipelines. Experience with AI engineering architecture, model serving, inference APIs, retrieval systems, and model evaluation. Practical knowledge of AI platform security, LLM guardrails, prompt injection prevention, and sensitive data protection. Proficiency with agentic AI coding tools such as Cursor, Claude Code, or GitHub Copilot. Strong experience with CI/CD pipelines, Azure cloud services, and deployment automation. Hands-on data engineering experience with Apache Spark, lakehouse architectures, data governance, access control, and lineage. Experience integrating AI models into full-stack applications. Previous experience delivering technical workshops, bootcamps, or corporate training programmes. Excellent presentation, communication, live-coding, and technical troubleshooting skills. Ability to independently prepare and deliver complex hands-on technical labs. Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 3 days of remote preparation. Must have no current or previous engagement with the end client. Nice to have: Experience with NVIDIA AI Enterprise or GPU-accelerated AI workloads. Experience delivering technical training or solutions within public-sector or regulated environments. Knowledge of UAE data protection and compliance requirements.

À propos du rôle Un(e) Développeur(-euse) Expérience IA est responsable du cycle de vie complet des parcours que nos clients vivent avec l'agent IA d'Upgrade par clavardage, par téléphone et par courriel : création, optimisation, gestion des cas particuliers et augmentation du taux de résolution autonome. Cette personne conçoit des parcours dans les outils sans code de Sierra, collabore avec les groupes produits d'Upgrade pour intégrer leurs processus de service à l'agent, et répond de la capacité de l'agent à résoudre le problème du client de façon sécuritaire, exacte et sans intervention humaine. Vous ferez le lien entre les équipes de développement, de produit et des opérations clientèle. Vous transformerez des processus de service, comme effectuer un paiement, consulter les détails d'un prêt, mettre à jour une adresse ou activer les paiements préautorisés, en parcours de production, et vous continuerez à les améliorer après leur lancement. Vous concevrez et gérerez les parcours de A à Z, de la première ébauche jusqu'à leur pleine maturité. Le travail est à la fois celui d'un bâtisseur et d'un analyste : concevoir le parcours, gérer les cas particuliers, lire les transcriptions et augmenter continuellement le taux de résolution autonome. Le taux de résolution autonome, la satisfaction client (CSAT), la qualité des transferts et le taux d'hallucination sont vos indicateurs clés. Au cours de votre première année, vous serez responsable d'un portefeuille de parcours couvrant l'ensemble de nos produits (prêts personnels, carte, paiement différé (BNPL), marge de crédit hypothécaire (HELOC), dépôts) et contribuerez à établir les normes selon lesquelles Upgrade conçoit, teste et déploie ses expériences IA. Nos technologies principales Sierra Agent Studio (parcours sans code), simulations et analyse des conversations Sierra, API GraphQL et REST (comme outils de parcours), Genesys (transfert vers le centre de contact), SumoLogic, Grafana, SQL, JavaScript/TypeScript, Claude et autres outils de LLM. Ce que vous ferez Création de parcours : — Concevoir et développer des parcours Sierra dans Agent Studio pour le clavardage, la voix et le courriel, de la phase de découverte avec les opérations jusqu'au déploiement en production Optimisation : — Analyser chaque semaine les transcriptions, les enregistrements et les données analytiques, repérer où les conversations échouent ou sont transférées, et déployer des correctifs à la logique des parcours, aux instructions et à la base de connaissances Gestion des cas particuliers : — Cartographier les scénarios problématiques (paiements refusés, identité non concordante, comptes en souffrance, demandes non prises en charge) et s'assurer que chacun se conclut par une réponse exacte ou un transfert fluide Résolution autonome : — Assumer la responsabilité des cibles de résolution autonome et de CSAT pour chaque parcours, mener des déploiements progressifs (1 % → 100 %) et prioriser les travaux ayant le plus d'impact sur ces indicateurs Partenariat produit : — Collaborer avec les groupes produits (prêts personnels, carte, BNPL, dépôts) pour définir la portée de nouveaux parcours, maintenir les parcours à jour au fil de l'évolution des produits et définir les API dont l'agent a besoin Sécurité et conformité : — Appliquer l'authentification à plusieurs niveaux et la vérification renforcée, le libellé de conformité exact ainsi que des garde-fous contre les hallucinations et les réponses non conformes aux politiques Transferts : — Concevoir les transferts vers des agents humains dans Genesys avec des résumés exacts et le contexte d'authentification Tests : — Créer des suites de simulation et de tests de régression afin que chaque modification de parcours soit déployée avec la preuve qu'elle n'altère pas le comportement existant Surveillance : — Suivre la latence, les erreurs et les abandons dans SumoLogic et Grafana, et être responsable des alertes Optimisation vocale : — Latence, phrases de transition, interruptions, personnalité et ton Relation avec Sierra : — Agir à titre de responsable technique de notre côté, faire remonter les problèmes liés à la plateforme et orienter les demandes relatives à la feuille de route Ce que nous recherchons — De 3 à 5 ans d'expérience en développement logiciel, ou une expérience équivalente dans des rôles en solutions techniques, en IA conversationnelle ou en gestion de produits techniques — Connaissance pratique du comportement des agents LLM : instructions, appels d'outils, récupération de connaissances, et les points de défaillance de chacun — Expérience dans la conception d'évaluations pour des systèmes non déterministes : jeux de tests, simulations, LLM évaluateur (LLM-as-judge), seuils de régression — Une maîtrise technique suffisante pour lire des spécifications d'API, collaborer avec des développeurs backend sur des intégrations REST et GraphQL, et raisonner sur les autorisations et les portées de permissions — Un esprit axé sur le produit et le client : vous comprenez les procédures opérationnelles, lisez les transcriptions, accordez de l'importance au ton et mesurez votre réussite selon la résolution du problème du client — Sens des responsabilités en production : déploiements, surveillance, analyse de journaux et réponse aux incidents — Rédaction claire et capacité à travailler avec des interlocuteurs non techniques des équipes des opérations, de la conformité et des affaires juridiques Atouts supplémentaires — Expérience pratique de Sierra Agent Studio ou d'une plateforme d'agents sans code comparable (Decagon, Ada, Kore.ai, Google CCAI, Amazon Lex/Connect) — Expérience en IA vocale : reconnaissance vocale (speech-to-text), synthèse vocale (text-to-speech), optimisation de la latence, gestion des interruptions (barge-in) — Connaissance des systèmes de centre de contact tels que Genesys et de la conception de transferts vers des agents — Expérience en fintech ou dans un autre secteur réglementé (UDAAP, FDCPA, TCPA, PCI, SOC 2) — Expérience en conception conversationnelle ou en rédaction UX Ce que nous vous offrons — Salaire compétitif ($140K-$180K) et plan d'options d'achat d'actions — Assurances médicales, dentaires et de la vue payées par l'entreprise — Congés payés flexibles — Possibilités de croissance et de développement professionnel — Congé parental payé — Initiatives de santé et de bien-être Exigence linguistique — English language is required for this position, as it involves interacting with staff at Upgrade's offices worldwide. Conditions environnementales et de travail — Le travail s'effectue à l'intérieur dans un environnement au rythme soutenu qui exige la capacité de gérer plusieurs priorités et de respecter les processus de travail, les horaires et les attentes en matière de service établi. — Les employés saisissent, extraient et échangent régulièrement des informations avec précision à l'aide de systèmes et d'applications numériques afin d'appuyer les objectifs opérationnels et de service à la clientèle. — Le poste exige la capacité de recevoir et d'échanger des informations avec les clients, les collègues, les superviseurs et les partenaires interfonctionnels par le biais des moyens de communication disponibles, qui peuvent inclure des réunions, des courriels, des appels téléphoniques et des outils de collaboration numériques, et peut impliquer des échanges en temps réel, verbaux ou en personne selon les besoins de l'entreprise. — Les fonctions peuvent inclure la gestion d'un volume élevé d'interactions entrantes et/ou sortantes avec la clientèle ainsi que d'activités de travail à l'aide de systèmes de télécommunication et informatiques. — Le poste exige la capacité de lire, d'analyser et d'interpréter les informations affichées à l'écran d'ordinateur et de maintenir une posture de travail pendant de longues périodes, conformément aux exigences du poste. — Le travail peut s'effectuer dans un centre de contact, un bureau ou en télétravail, selon les besoins de l'entreprise et la nature du poste. — Les environnements de travail sur place peuvent inclure des espaces de travail partagés, un éclairage de bureau standard et un bruit de fond modéré typique des environnements de service à la clientèle ou opérationnels. — Les employés en télétravail sont responsables de maintenir un espace de travail sécurisé et productif avec une connexion Internet fiable qui prend en charge les systèmes de l'entreprise et protège la confidentialité des informations de l'entreprise et des clients. — Des mesures d'adaptation raisonnables peuvent être mises en place pour permettre aux personnes qualifiées vivant avec un handicap d'exercer les fonctions essentielles du poste, conformément à l'Americans with Disabilities Act (ADA) et aux lois étatiques et locales applicables. — Nous sommes un employeur garantissant l'égalité des chances et nous valorisons la diversité au sein de notre entreprise. — Nous ne faisons pas de discrimination fondée sur la race, la religion, la couleur, l'origine nationale, le sexe, l'orientation sexuelle, l'âge, l'état civil, le statut d'ancien combattant ou le statut de handicap. — Upgrade n'accepte pas les candidatures spontanées soumises par des agences de recrutement, des cabinets de recherche de personnel ou toute autre tierce partie. — Tout CV soumis à un employé d'Upgrade sans accord écrit préalable en vigueur sera considéré comme la propriété d'Upgrade, et Upgrade ne sera pas tenue de payer des bonus de recommandation ou de placement. — Les agences doivent obtenir une approbation écrite au préalable du service d'acquisition de talents d'Upgrade pour soumettre des candidatures, et ce, seulement si une entente valide et dûment signée est en vigueur.

Задачи: — Владение полным циклом пользовательских сценариев с AI-агентом Upgrade на чат, голос и email: создание, оптимизация, обработка крайних случаев и рост показателя containment. — Создание сценариев в no-code инструменте Sierra Agent Studio, сотрудничество с продуктовыми группами для интеграции сервисных потоков. — Ответственность за разрешение проблем клиентов AI-агентом без участия человека. — Анализ и улучшение сценариев после запуска, включая чтение транскриптов и повышение качества взаимодействия. — Ведение портфеля сценариев по продуктам (Personal Loans, Card, BNPL, HELOC, Deposits) и установление стандартов разработки AI-опыта. Требования: — 3–5 лет опыта во Frontend Software Engineering или эквивалентный опыт в Solutions Engineering, Conversational AI или технических продуктовых ролях. — Знание поведения LLM-агентов: инструкции, вызовы инструментов, извлечение знаний и типичные ошибки. — Опыт построения оценок для недетерминированных систем: тестовые наборы, симуляции, LLM в роли судьи, регрессионные проверки. — Техническая грамотность для чтения API спецификаций, работы с backend-инженерами по REST и GraphQL, понимание авторизации и прав доступа. — Знание JavaScript/TypeScript для создания и поддержки кодированных сценариев и интеграции API в платформы Conversational AI. — Ориентация на продукт и клиента, умение читать транскрипты, забота о тоне общения и измерение успеха по решению проблем клиента. — Владение процессами выпуска, мониторинга, анализа логов и реагирования на инциденты. — Умение ясно писать и работать с неинженерами из операций, комплаенса и юридического отдела. Плюсы: — Опыт работы с Sierra Agent Studio или аналогичными no-code платформами (Decagon, Ada, Kore.ai, Google CCAI, Amazon Lex/Connect). — Опыт с Voice AI: распознавание речи, синтез речи, настройка задержек, обработка прерываний. — Знание систем контакт-центров, таких как Genesys, и проектирование передачи агентам. — Опыт в финтехе или регулируемых отраслях (UDAAP, FDCPA, TCPA, PCI, SOC 2). — Опыт в дизайне разговоров или UX-писательстве. Условия: — Конкурентная зарплата $140K-$180K CAD и опционный план. — Оплачиваемое медицинское, стоматологическое и офтальмологическое страхование. — Гибкий оплачиваемый отпуск. — Возможности профессионального роста и развития. — Оплачиваемый декретный отпуск. — Инициативы по здоровью и благополучию.

Задачи: — Анализ рынка, поиск товарных возможностей, расчёт экономики, поиск поставщиков, создание товара и контента, размещение, реклама, аналитика, операционное управление. — Поиск участков, требующих человека и повторяющихся действий, и превращение их в автоматизированные процессы, сервисы или AI-агентов. — Создание систем, которые выполняют 70–90% работы, передавая человеку только спорные решения. — Совместный выбор приоритетных задач с бизнесом по ожидаемому эффекту и сложности внедрения. — Анализ новых маркетплейсов и категорий, поиск быстрорастущих товаров и ниш. — Сбор и нормализация данных из маркетплейсов и внешних источников, конкурентная аналитика. — Поиск аналогов товара и поставщиков, создание AI-агентов для запросов цен и коммуникации с фабриками. — Расчёт полной стоимости поставки и потенциальной прибыльности товара. — Анализ отзывов и поиск возможностей для улучшения продукта. — Генерация и локализация карточек товара под разные страны и площадки. — Автоматизация рекламы и регулярной операционной работы. — Интеграция маркетплейсов, ERP, CRM и аналитических систем, внутренних инструментов и AI-интерфейсов для сотрудников. — Разработка систем Product Hunter для поиска перспективных товаров, оценки экономики и помощи в принятии решений о запуске. Требования: — Опыт работы 3–6 лет. — Знание Python и SQL/PostgreSQL. — Опыт работы с API и интеграциями со сторонними сервисами. — Навыки асинхронной разработки, работы с очередями и фоновыми задачами. — Опыт построения data pipelines. — Владение Docker, Git/CI/CD и работа с облачной инфраструктурой. — Практический опыт работы с LLM API. — Умение оценивать качество AI-систем, обрабатывать ошибки и контролировать стоимость их работы. — Знание structured output, tool calling, агентов и agentic workflows. — Опыт с RAG и embeddings. — Знание MCP, browser automation и мультимодальных моделей. — Навыки мониторинга и отладки AI-систем (например, Langfuse или аналоги). — Product thinking: понимание проблемы бизнеса перед выбором технологии. — Ownership: самостоятельный поиск и обоснование задач, прохождение полного цикла от проблемы до результата. — Скорость разработки: предпочтение быстрому созданию рабочей версии. — Умение работать с неопределённостью, исследовать новые рынки и находить рабочие решения. — Business curiosity: интерес к работе маркетплейсов, структуре прибыли, закупкам, рекламе и ручному труду. Условия: — Полная занятость. — График 5/2. — Удалённый формат работы.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. ABOUT THE ROLE Taxfix builds more products for more customer segments, faster than before. As Senior Product Marketing Manager, you are the go-to-market partner embedded into a product team, from the first discovery conversation to scaling. You’re not just handed a final product to talk about it. You bring customer, market and competitive evidence into the decisions that shape what gets built from day one: which segments to target, what features to prioritize, how to create Aha moments. You influence what the product does, how it wins and whether people will pay. You also build the systems that keep this work running: from automated competitor and customer insights generation, to agentic workflows that let product teams run smaller launches themselves at high quality. You work closely with Product, Engineering, Commercial, Growth Marketing and Paid Acquisition. WHAT YOU'LL DO - Taking one (or many) of our big bets to market. With high level of responsibility, autonomy and direct support from senior leaders and domain experts, you will help us launch assisted and AI-native experiences that customers truly love. - Bring the market into product decisions. Turn customer, market and competitive evidence into clear recommendations for the product team. Join discovery work and design sprints where market specifics shape what gets built. - Choose who to serve, and who not to. Break users and products down into needs, pains, and functional and emotional value. Define sharp ICPs and decide which segment to win first and later. - Position the product to win. Define the competitive alternatives, what makes the product different and why it wins. Turn that into a sharp messaging and shape the pricing and packaging inputs. - Run launches as tests. Run lean tests early, report what the measures show, and adapt the product, the positioning and the go-to-market. You gather evidence that improves our GTM decision quality, not tick off a launch checklist. - Align the people around the work. Bring structure to complex go-to-market work: clear owners, milestones, decision points and success measures. Facilitate decisions across Product, Engineering, Data, Growth and commercial teams. - Build the insight engine. Replace ad hoc research with automated flows of competitor and customer insight that product and marketing teams use every week. - Own part of the context system. Turn each go-to-market decision and artifact into governed context that empowers people and agents alike. - Build with AI. Build your own prototypes, applets and automations for the opportunities you prioritize, and help product teams self-serve lower-tier launches at quality. WHAT YOU'LL BRING - 5+ years of bringing tech products to market. You have successfully taken complex products or features from discovery to launch and adoption, in a fast-paced environment. - Data- and evidence-driven over opinion. You set clear targets, success definitions and guardrails. You analyze data and derive actionable next steps. When evidence contradicts the plan, you say so, including to senior stakeholders. - Customer insight and craft. You stay close enough to users to quote them. You turn what they said into why they behave as they do, and into a narrative people remember. - AI as a builder. You build agents, automated workflows, prototypes and context towards clear milestones or outcomes. - Communication and project leadership. You write and speak with precision, align several teams at once and keep many moving pieces on track. - High agency and curiosity. You find the problem and solve it without waiting to be told, and you carry it like an owner. - Bias for action. You prioritize speed of learning and progress over perfection. - English and German. You use German to write customer-facing messaging and English to work with the wider team. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Key Requirements: — 3+ years of commercial experience in a relevant role. — Strong expertise in Asterisk (versions 13 and above). — Hands-on experience building and maintaining VoIP solutions for contact centers or fintech environments. — In-depth understanding of SIP and RTP protocols, including NAT and QoS. — Experience configuring and managing SIP trunks. — Experience configuring IVR workflows, agent queues, and skill-based routing, including fallback and overflow logic. — Experience with call recording, CDR, and CEL. — Strong Linux administration skills (Ubuntu/Debian) in production environments. — Practical experience securing VoIP infrastructure, including protection against brute-force attacks, Fail2Ban, firewall configuration, ACLs, and rate limiting. — Experience integrating Asterisk with external systems, including CRM, billing, antifraud solutions, and APIs. — Experience using AMI / ARI to integrate Asterisk with backend systems. — Understanding of financial systems requirements, including reliability, auditability, and logging. — Ability to quickly understand and troubleshoot complex or legacy systems. Responsibilities: — Maintain and continuously improve the company’s telephony platform. — Ensure the stable operation of support, collections, and sales communication channels. — Configure and maintain IVR menus, call queues, and routing logic in line with business processes. — Integrate the telephony platform with internal services, including CRM, backend systems, and billing. — Ensure high availability and minimize system downtime. — Monitor call quality and key performance metrics, including SLA, ASR, and ACD. — Identify and resolve latency and call-quality issues. — Optimize system performance and support infrastructure scaling. — Upgrade and improve the existing VoIP infrastructure. — Create and maintain technical documentation covering call flows, routing, and integrations. — Collaborate with cross-functional teams, including backend, support, and security.

Location: Москва Мы развиваем направление на стыке количественных финансов, управления рыночными рисками и агентного ИИ в крупнейшем банке страны. Наша команда создаёт интеллектуальные системы для анализа торговых алгоритмов, моделирования финансовых рынков и поиска оптимального баланса между доходностью и риском. Ищем специалиста, которому интересно самостоятельно исследовать новые подходы, проверять гипотезы и превращать сложные математические идеи в работающие AI-продукты. У нас ты сможешь сочетать quantitative research с разработкой автономных AI-агентов, влиять на технологические решения и решать нетривиальные задачи, от которых напрямую зависит эффективность и устойчивость торговых стратегий Сбера. Обязанности * разработка и развитие AI-агента для анализа изменений в коде торговых алгоритмов: agentic workflows, инструменты, память, маршрутизация и механизмы самопроверки; повышение качества и автономности агента * стохастическое и AI-моделирование финансовых рынков для стресс-тестирования торговых алгоритмов * анализ и оптимизация risk/return торговых алгоритмов, подготовка количественно обоснованных рекомендаций * разработка и внедрение моделей и метрик рыночного риска * экспертная и аналитическая поддержка пользователей риск-моделей. Требования * образование в области точных наук - математика, физика, финансовая математика, численные методы и др. (например, матфак ВШЭ, мех-мат/физфак/вмк МГУ, РЭШ, МФТИ) * практический опыт разработки AI-агентов на Python и LangGraph: stateful-графы, tool calling, контекст и память, planning loops, self-check / self-correction * уверенное владение теорией вероятностей, математической статистикой, стохастическими процессами и дифференциальными уравнениями * умение переводить математические идеи в работающий код (например на Python) * опыт самостоятельного quantitative / ML / AI research: постановка гипотез, моделирование финансовых рынков и временных рядов, работа с рыночными данными, валидация и интерпретация моделей * английский язык на уровне, достаточном для свободного чтения профессиональной литературы и документации. Будет плюсом * профильные сертификаты и курсы в области quantitative finance / risk management: WQU, CQF, FRM, PRM и др * опыт разработки финансовых моделей и торговых алгоритмов * опыт работы с рыночным риском * опыт применения Machine Learning к финансовым данным. Условия * комфортный современный офис рядом с м. Кутузовская * офисный / гибридный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customisation to deliver clear business outcomes in production environments. You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale. In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment. Requirements - 7-11 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in India - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities - Excellent problem-solving, technical, and analytical skills to address customer needs and concerns - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization - Strong understanding of the Indian market landscape and cultural nuances - Self-motivated and able to work independently in a remote or distributed team environment #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Help us build the next generation of authentication services at GitLab. As a Senior Backend Engineer on the Authentication team, you'll build authentication features across the Rails monolith and GATE. GATE is our new service for issuing and validating tokens and managing identities, designed to support every GitLab deployment model. You'll expand authentication mechanisms, including support for identities used by artificial intelligence (AI) agents. You'll also help keep GitLab and its customers secure by building access management tooling and addressing vulnerabilities reported through our HackerOne program. GATE will become the foundation for token issuance, validation, and identity services across GitLab.com multi-tenant software as a service (SaaS), Self-Managed, Dedicated, and air-gapped environments. Your work will affect core components that customers, users, and GitLab teams rely on. Some of our projects include: Building GATE as the centralized service for token issuance and validation Consolidating tokens and migrating authentication paths out of the Rails monolith Building passkeys and passwordless authentication Developing composite identities that combine machine and human authorization for AI Improving service accounts and secure automation Enhancing Security Assertion Markup Language (SAML), Lightweight Directory Access Protocol (LDAP), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM) capabilities for automated user provisioning and single sign-on (SSO) What you'll do Shape the roadmap for GATE and GitLab's authentication services with the team. Design and implement token issuance, validation, and identity services in Go and Ruby across the Rails monolith and GATE, including new authentication mechanisms such as Workload Identity Federation. Migrate authentication and token management paths from the monolith into GATE while maintaining reliability across all deployment models. Build authentication mechanisms from the ground up, such as Workload Identity Federation. Strengthen security for users and organizations through access management tooling and by addressing vulnerabilities reported through our HackerOne program. Define and improve standards for style, maintainability, and engineering practices in a high-scale environment, and advocate for them through code review. Communicate publicly about GitLab initiatives, projects, and contributions from people not working for GitLab Inc. Reflect GitLab's values in these communications. Ship moderately sized features and improvements with moderate guidance and support from other team members, and collaborate on larger projects, including the build-out of GATE. Participate in the maintainer trainee program at your own comfortable pace while working toward becoming a project maintainer. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience with Go and/or Ruby in scaling or mission-critical SaaS products. Familiarity with authentication and authorization technologies or techniques, such as OAuth, OIDC, SAML, SSO, SCIM, LDAP, JSON Web Tokens (JWTs), role-based access control (RBAC), or identity and access management (IAM). Knowledge of token systems, cryptographic signing, and key management. Experience building or contributing to a service from concept to production, including proposal, discussion, and execution. Proficiency in written and verbal English, with the ability to communicate complex problems and solutions clearly in a remote, largely asynchronous work environment. Experience diagnosing, preventing, and resolving performance and optimization problems. Experience working in an iterative software development process, managing your work effectively, staying organized, and following through on priorities. About the team Our mission is to empower GitLab system administrators with the toolkit they need to create their desired balance of security and accessibility for their GitLab experience. Authentication is the first impression a new customer has when they configure a new GitLab instance. We aim to make it as seamless as possible, from that first login to onboarding users and managing security rules for their instance in a secure, flexible, and scalable way. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team OKX's Legal team provides legal advice and guidance to the company across all coverage areas and geographic locations, and supports business growth and development by working with all teams within the company to help them achieve their goals. We are a high-functioning, collaborative and fast-paced group of lawyers who enjoy the cutting-edge nature of our work and the digital assets industry. Sitting in the Legal department, the Corporate Investigations team investigates fraud, misconduct and abuse committed against OKX. The team includes experienced investigators, among them former federal agents, and partners closely with the Compliance, Risk, Finance, and HR departments, colleagues in the Legal department, and business executives across OKX's global footprint. About the Opportunity This is a senior, high-impact role for a former federal prosecutor who wants to build and lead a global investigations function. The Head of Corporate Investigations will be the single accountable owner for investigating wrongdoing against OKX and developing these matters for appropriate recovery and civil or criminal enforcement as warranted. As OKX's most senior investigations leader, you will set the standard for how the company uncovers and responds to wrongdoing, leading investigations that reflect the highest standards and best practices in the field. This is an opportunity to build a world-class investigations program, one whose rigor, independence and integrity protect OKX's people, assets and reputation Where an investigation warrants it, you will be responsible for bringing matters to the appropriate authorities in the US, EMEA and APAC, ensuring each case is built to a prosecutorial standard and supported through to any civil or criminal resolution. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services. Extensive international travel on short notice expected in this role. What You'll Be Doing Lead the function and the team. Set the strategy, standards and methodology for internal investigations globally. Own intake, triage and prioritization. Manage and develop a team of investigators that includes former agents. Run investigations. Direct investigations from allegations through findings, including interview strategy, subject and witness interviews, digital forensics and financial tracing. Personally lead the most complex and sensitive matters. Build cases to a prosecutorial standard. Own OKX's framework for deciding which matters warrant escalation to authorities and in which jurisdiction. Build strong cases to the evidentiary and procedural standards of that jurisdiction, and partner with the Litigation team to pursue recovery of losses. Manage engagement with authorities. Where matters are brought to the attention of authorities, oversee OKX's engagement through to resolution, including providing evidence, making witnesses available and responding to legal process, as appropriate. Own law enforcement relationships. Build and maintain relationships and networks with law enforcement and prosecutors worldwide, including federal, state and local authorities in the US, EMEA and APAC. Partner across the company. Work with Compliance, Risk, Finance, HR, colleagues in the Legal department, and business executives to investigate and resolve matters effectively. Strengthen controls and report to leadership. Translate investigative findings into control improvements that prevent recurrence. Report significant matters and trends to senior leadership. What We Look For In You Prior service as an Assistant United States Attorney is required. Experience as a trial attorney in the DOJ Criminal Division, such as the Fraud Section, will also be considered. A substantial record of investigating, charging and trying federal white-collar and fraud cases, including leading grand jury investigations and working closely with federal agents. A deep understanding of what makes a case prosecutable and what prosecutors and police need before they will accept one. In-house or law firm experience leading investigations required. A JD and membership in a US state bar. 15+ years of legal experience. Experience leading and developing investigative teams, including former law enforcement professionals. Sound, proportionate judgment, with a commitment to fairness and due process for the individuals under investigation. Exceptional written and oral communication skills, with the ability to deliver clear findings to senior leadership and credible presentations to law enforcement. Discretion, integrity and composure in sensitive, high-stakes matters. A self-starter who is comfortable working independently in a fast-paced, growth-stage, multicultural environment and across global time zones. Ability to collaborate effectively across functions and earn the trust of stakeholders at every level. Nice to Haves Experience in financial services or digital assets. Exposure to cases involving cryptocurrency or blockchain tracing. Experience engaging with foreign law enforcement and prosecutors, or with international cooperation mechanisms such as MLATs, particularly in Asia-Pacific. Supervisory experience within a US Attorney's Office, such as a unit chief or deputy chief. Global investigations experience. Language capabilities: Mandarin Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $240,426 - $360,639 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role Alpaca's product team is looking for a Product Manager to own Alpaca's regulated crypto trading and yield surface: spot or perps exchange, fiat and stablecoin funding rails, staking / lending and the crypto API that partners build on. You will partner deeply with engineering, compliance, legal, partnerships, and the broader Alpaca product team to ship regulated crypto infrastructure at scale. You will help shape and grow the crypto product itself, and you will be expected to provide early signal on US policy changes rather than react after rules formalize. Things You Get To Do: Own the spot crypto exchange product surface - pair coverage, order types, availability in various jurisdictions and the partner facing experience for trading crypto on Alpaca. Lead integrations that unlock funding and liquidity with LPs and custodians. Own the stablecoin funding flow, including paths for USDC and other regulated / GENIUS-aligned stables. Work with partners to understand crypto needs for fintechs, neobrokers, and institutional platforms. Expand supported networks and coins that balances partner demand and custody readiness. Drive staking and lending / earn product design within regulatory and ops constraints. Shape a crypto API surface that treats developers and agents as primary customers: SDKs, reference integrations, changelog discipline. Lead and execute the product case for crypto perps. Who You Are (Must Haves): Excited about what Alpaca is building and ready to own a core regulated crypto product surface. Bachelor's degree in computer science, engineering, finance, or equivalent. 5+ years of experience in Product Management, Engineering, and/or starting a startup, preferably within crypto exchanges, brokerage, market making, custody, or financial infrastructure. Demonstrated depth on at least one core crypto product surface at production scale: spot trading / exchange, custody / wallets, fiat or stablecoin funding rails, staking / earn or derivatives / perps. Strong understanding of crypto market structure - order books, liquidity providers, spreads, slippage, settlement, and how B2B / API-first platforms differ from retail-only exchanges. Experience shipping in a regulated environment alongside Legal, Compliance, Risk, and Operations - comfortable with ambiguity and real-time tradeoffs. Proven ability to run partner / customer discovery and turn it into a prioritized roadmap; excellent written and verbal communication across engineering and executive audiences. Business acumen to weigh ROI, partner demand, regulatory risk, tech feasibility, time, and budget. AI-native PM workflow; AI is part of your daily stack in getting work done. Who You Might Be (Nice-to-Haves): Direct experience at a crypto exchange, broker-dealer, custodian, market maker, or institutional crypto infrastructure provider. Experience building developer-facing crypto APIs used by quants, algo traders, or automated / agentic systems. Familiarity with staking, lending / earn, perpetual futures, and the operational and regulatory constraints of offering them through a licensed entity. Background combining regulated financial-product context (broker-dealer, payments, custody) with crypto native infrastructure (wallets, L1/L2, on-chain settlement). How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy