Вакансии

Location: Vancouver, BC At Asana, security is foundational to our mission of helping humanity thrive by enabling the world's teams to work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats and fostering a culture of security throughout our product and operations. We're looking for a Product Security Engineer to join our Product Security team in Vancouver. You'll be a key member of our security engineering team, partnering directly with product and infrastructure teams to ensure we design and ship secure software. You will be instrumental in scaling our security practices by building secure-by-default frameworks, eliminating entire classes of vulnerabilities, and championing a security-first mindset across our web, mobile, and AI-powered product surfaces. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. What you'll achieve Partner with product and engineering teams across the full software development lifecycle to ensure security is designed and built into Asana's products and platform. Conduct security architecture reviews, threat modeling, and code reviews for new features and services. Develop, implement, and maintain secure-by-default frameworks and libraries that empower engineering teams to build secure systems easily. Build and maintain automated security tooling (static and dynamic analysis rules, custom SAST/DAST checks, and automated red-teaming) to scale security coverage without scaling headcount. Identify and address AI-specific security risks such as prompt injection, insecure tool permissions, and abuse-resistant design in Asana's AI and agentic features. Triage, investigate, and drive remediation of vulnerabilities from our bug bounty program, internal testing, and automated security tooling. Influence engineering initiatives by conducting design and roadmap reviews, effectively communicating security constraints, and assisting teams in making informed trade-offs. Investigate product security incidents as a subject matter expert, using logs and monitoring tools to contain, analyze, and drive resolution. Evaluate and improve software supply chain security, including dependency management, SCA tooling, and third-party risk in the development pipeline. Develop and deliver training to educate engineers on secure coding best practices and emerging threats. Stay informed of industry trends, emerging threats, and best practices to ensure that Asana's security posture remains robust. Collaborate with teammates and stakeholders to develop both short-term and long-term strategies for risk management. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 5+ years of experience in application security, product security, or software engineering with a security focus. Strong software engineering background with experience in languages like Python, Javascript/Typescript or Scala. Deep working knowledge of the OWASP Top 10 and common web application vulnerabilities such as XSS, CSRF, SSRF, and SQL injection. Familiarity with AI/ML security concepts, including LLM-specific risks such as prompt injection and agentic attack surfaces. Experience with security tools for static/dynamic analysis (SAST/DAST), software composition analysis (SCA), and vulnerability management. Experience performing security design reviews and threat modeling for complex applications. Excellent communication skills for collaborating effectively with both technical and non-technical partners. A pragmatic and collaborative mindset, with a passion for building defenses against real-world attacks and enabling other engineers to do their best, most secure work. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between 176,000 - 200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, San Mateo, CA 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: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Aarhus, Denmark; Antwerp, Belgium; Baku, Azerbaijan; Basel, Switzerland; Belfast, United Kingdom; Belgrade, Serbia; Bergen, Norway; Bern, Switzerland; Birkirkara, Malta; Birmingham, United Kingdom; Bologna, Italy; Bordeaux, France; Bratislava, Slovakia; Brno, Czechia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cardiff, United Kingdom; Celje, Slovenia; Chișinău, Moldova; České Budějovice, Czechia; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Cork, Ireland; Coventry, United Kingdom; Craiova, Romania; Crete, Greece; Daugavpils, Latvia; Debrecen, Hungary; Derby, United Kingdom; Dnipro, Ukraine; Dresden, Germany; Dublin, Ireland; Düsseldorf, Germany; Edinburgh, United Kingdom; Frankfurt, Germany; Galway, Ireland; Gdańsk, Poland; Geneva, Switzerland; Genoa, Italy; Ghent, Belgium; Glasgow, United Kingdom; Gothenburg, Sweden; Graz, Austria; Hamburg, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kaunas, Lithuania; Kazan, Russia; Kharkiv, Ukraine; Kyiv, Ukraine; Košice, Slovakia; Larnaca, Cyprus; Leeds, United Kingdom; Leipzig, Germany; Lille, France; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Lviv, Ukraine; Lyon, France; Madrid, Spain; Maastricht, Netherlands; Málaga, Spain; Malmö, Sweden; Manchester, United Kingdom; Maribor, Slovenia; Marseille, France; Munich, Germany; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nice, France; Nicosia, Cyprus; Niš, Serbia; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Palermo, Italy; Patras, Greece; Pécs, Hungary; Pljevlja, Montenegro; Plovdiv, Bulgaria; Podgorica, Montenegro; Porto, Portugal; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Riga, Latvia; Rotterdam, Netherlands; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Sofia, Bulgaria; The Hague, Netherlands; Thessaloniki, Greece; Timișoara, Romania; Tirana, Albania; Toulouse, France; Turin, Italy; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Varna, Bulgaria; Saint Petersburg, Russia; Hanover, Germany; Zürich, Switzerland; Stuttgart, Germany; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Wrocław, Poland; Zagreb, Croatia; Zaragoza, Spain; Zrenjanin, Serbia Workplace: fully David Kennedy Recruitment is working with a rapidly growing technology company with over 50 million users worldwide that is seeking to onboard a Security Engineer to join their R&D team. As the company's sole dedicated Security Engineer, the successful candidate will take end-to-end ownership of security operations, covering application security, vulnerability management, governance and risk, and emerging AI security challenges. The company's products include adult/NSFW content, so candidates must be fully comfortable working with this material. Position: Security Engineer (AppSec / GRC / AI Security) Location: Europe/ASIA, Remote Employment type:  B2B engagement preferred DUTIES AND RESPONSIBILITIES: Application security (core of the role) Review code every week to catch vulnerabilities before they ship Find and prioritise real vulnerabilities across the stack, and drive them through to fixes Audits and pentests Coordinate external security audits and penetration tests Challenge findings where needed and follow them through to fixes Engineering and automation Automate security work and build the tools needed to scale it Use AI tools daily for code review, pentesting and scripting Ownership and communication Own security end to end with little support, deciding what matters most Explain technical risk in plain language to the team and leadership Cover security alerts, including occasional night and weekend on-call Also part of the role (lighter) Maintain a simple risk register and GRC documentation Share security updates with the team and run awareness training Monitor emerging AI threats (prompt injection, jailbreaks, content filter bypass) and incidents at AI providers Advantages AI/LLM security testing (prompt injection, jailbreaking), a strong plus Experience at an AI company or a scale-up GRC awareness Familiarity with MDM and access management REQUIREMENTS: 2+ years of hands-on security experience Hands-on AppSec experience, not compliance only: reviews code regularly and can walk through a real vulnerability found and fixed Experience coordinating an external audit or pentest and following the findings through to fixes Ships code with Git/GitHub, scripts in Python or Bash, and has recent hands-on experience on a modern web stack (e.g. Rails, Node; GCP, Heroku or similar) Has been the sole or lead security person, or owned a security area independently, with weekly code review or system testing over the last 2 years Clear communicator of risk to non-technical colleagues Uses AI tools every day in security work Hacker mindset, with security as a passion as well as a job (bug bounties, CTFs, research, write-ups or personal tools) Perfectly fluent English Comfortable working with products built on uncensored models and NSFW content BENEFITS: Fully remote working from Europe Opportunity to own security for a fast-growing AI platform with over 50 million users Direct collaboration with engineering leadership Hands-on, non-advisory role with real responsibility for security outcomes And many more!!!

Требования: — Уверенный опыт работы с LLM/SLM (Few-shot learning, prompt engineering) и BERT (классификация сценариев и интентов); — Практический опыт finetuning LLM (PEFT, LoRA/QLoRA) под узкие прикладные задачи; — Уверенный дебаг LLM: умение быстро понять, почему модель ответила не так, и исправить это промптом, гиперпараметром или файнтюном; — Опыт дообучения и оптимизации TTS-моделей; — Опыт работы и интеграции современных ASR-систем (в частности, GigaAMv2); — Опыт работы как с графовыми/сценарийными диалоговыми движками, так и с LLM-агентами; — Высокая скорость диагностики проблем в инференсе, локализации багов и принятия инженерных решений; — Уверенное владение Python (PyTorch, huggingface, фреймворки инференса) и Go; — Опыт работы с оптимизацией инференса под low-latency (vLLM, TensorRT-LLM, Triton Inference Server, ONNX Runtime); — Практика работы со потоковым аудио в реальном времени (streaming ASR/TTS, gRPC-контракты); — GoLang: - Базовое понимание по дизайну сервисов; - Понимание SOLID, DRY и KISS паттернов; - Знание типизации в Go, хотя бы базовые типы (строки, числа, слайсы и мапы); - Знание примитивов синхронизации и конкуренции (как синхронизировать горутины, как работать с каналами); - Знание указателей и работы с ними; - Observability; - Будет плюсом: опыт работы с GRPC; - Будет плюсом: умение настроить инфраструктуру, k8s/inventory, знания работы TCP. Задачи: — Поэтапный перевод системы с графа сценариев и скиллов на управляемый LLM-based диалог; — Дебаг голосового пайплайна (поиск причин high latency, галлюцинаций LLM, проблем с передачей аудио, графовых ошибок и т.п.); — Оперативное принятие архитектурных решений и их самостоятельная реализация в коде; — Поддержка и быстрая отладка few-shot классификации сценариев на базе Qwen и классификаторов на BERT; — Учёт краевых случаев, исправление ошибочных срабатываний интентов; — При необходимости — finetuning локальных LLM (извлечение сущностей, удерживание инструкций); — Интеграция и поддержка ASR на базе GigaAMv2 (отладка качества распознавания, работы VAD и передачи текста дальше по пайплайну); — Дообучение и настройка инференса собственных и опенсорсных TTS и систем клонирования голоса для достижения нужного качества звучания и скорости работы.

Требования: — Критически важно: оформленный военный билет или приписное свидетельство. — LLM/NLP: LLM/SLM, prompt engineering, few-shot, BERT, PEFT, LoRA/QLoRA. — Voice AI: дообучение TTS, ASR (GigaAMv2), VAD, streaming ASR/TTS. — Python: PyTorch, HuggingFace, inference frameworks. — Low-latency: vLLM, TensorRT-LLM, Triton или ONNX Runtime. — Go: сервисная архитектура, SOLID/DRY/KISS, типы, goroutines/channels, указатели, observability. — Будет плюсом: gRPC. — Kubernetes и инфраструктура. — Глубокое понимание TCP/networking. Условия: — Локация: удалённо, РФ. — Гражданство РФ. — Полная занятость (Full-time).

Location: Boston, Massachusetts, United States About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. THE ROLE You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing. WHAT YOU’LL DO Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes. Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements. Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context. Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership. Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows. Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities. EXAMPLE PROJECTS L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS. Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages. Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval. Across these workflows, build quality checks and human review routing that meet customer requirements. WHAT YOU BRING A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience. Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging. Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review. Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations. Ownership through deployment, documentation, customer enablement, and adoption. Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential. Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role, roughly 80% writing and shipping production code (services, pipelines, and infrastructure) and 20% modeling, taking detection and classification approaches from prototype to hardened systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability, and observability Build and maintain machine learning (ML) infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks Ship large language model (LLM) and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code Own systems end to end, from integrating a model into the platform through deployment, monitoring, and iteration Work with security, product, and infrastructure teams to turn abuse patterns and detection logic into production systems What you need 5+ years of software engineering experience building and operating production systems at scale Wrote production code in Python, plus JavaScript/TypeScript or Go Built and maintained ML infrastructure, such as training and serving pipelines, feature stores, or evaluation tooling Integrated LLMs into production systems, including prompt engineering and evaluation Bonus if you Built an open source ML tool Worked in the trust and safety, fraud, or abuse prevention domain Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Санкт-Петербург Мы создаем новую команду развития мониторинга для систем рисков корпоративно-инвестиционного бизнеса. Наша задача — с нуля выстроить единый, масштабируемый и управляемый контур мониторинга для более чем 110 ИТ-услуг, от которых зависит контроль кредитного риска и устойчивость критичных бизнес-процессов. Ищем SRE-инженера, который будет развивать систему мониторинга и алертинга: проектировать подходы, внедрять новые решения, повышать наблюдаемость сервисов и участвовать в создании единого мониторинга для большого и критичного ИТ-ландшафта. Обязанности **Требования по стеку:** * опыт работы с Unix-based системами (RH, Centos), команды, службы, типовые задачи * контейнеризация: OS, Kubernetes, на уровне пользователя * Prometheus exporters – уверенные знания (понимание принципа генерации и работы, установка, настройка, администрирование и поддержка экспортеров для разных источников данных) * Prometheus + Alertmanager – уверенные знания (федерация, тюнинг, решение типовых проблем) * Grafana – уверенные знания (v10+ панели, источники данных, разграничение доступов, provisioning, unified alerting) * Opensearch + Dashboards (ELK) — уверенные знания. Кластеризация, настройка индексов (mapping), шардирование и репликация, оптимизация производительности, разграничение ролей, прокси-авторизация * Logstash, Data Prepper, Vector - уверенные знания, разные источники, фильтры, преобразование * Kafka - Schema, настройка тракта kafka - data prepper - opensearch и его тюнинг Требования * IaC (Ansible, Helm) - решение типовых задач, написание плейбуков и чартов * PromQL, KQL, DQL - создание дашбордов и алертов в системах визуализации * Сертификаты - понимание принципа работы, расширений, типов хранилищ * написание pipeline обработки данных в одном из инструментов: Logstash, Datapreper, Datatog Vector, OpenTelemetry Collector. * опыт работы с системами сбора логов и метрик (Fluentd, Fluent-bit) **Желательные (будут плюсом):** * работа с инструментами CI, CDl, CDp (Jenkins) - опыт работы как пользователя. Умение работать с groovy будет плюсом. * Навыки автоматизации рутинных задач (скрипты на Bash/Python). * Victoria metrics (установка, настройка и сопровождение кластерной версии. Опты работы с vmagent / vmalert) * Prompt engineering, умение работать с агентами и LLM через MD будет плюсом. * опыт создания AI-агентов и использования их в работе будет преимуществом. Условия * формат работы гибирдный * стабильный оклад + годовое премирование и социальная поддержка сотрудников * официальное оформление с первого дня * профессиональный и дружный коллектив, готовый принимать и считаться с любой точкой зрения * расширенный ДМС с первого дня работы для сотрудников и льготная медицинская страховка для близких * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * корпоративная пенсионная программа * корпоративное обучение за счет компании, в т.ч. посещать конференции по профессиональной тематике, а так же огромный каталог образовательных программ * реферальная программа для сотрудников: можно пригласить в команду знакомых профессионалов и получить вознаграждение до 100 тыс. рублей * корпоративный спортзал и скидки в спортзалы-партнеры * мощное железо, дополнительные мониторы и всё, что нужно для продуктивной работы· * работу по Agile с лучшими из IT индустрии: 2000 продуктовых команд и возможность внутреннего перемещения * яркая и насыщенная корпоративная жизнь: «Зелёный марафон», Сбербанкиада, КВН, волонтёрские программы и т.д. * свободный dress code * возможность самостоятельного выбора необходимых технологий, а так же возможность привнести своё видение в проект

HeyGen ищет инженера по прикладному искусственному интеллекту для работы с видеоагентами, который будет заниматься разработкой и оценкой функций AI-агентов в различных продуктах компании. В обязанности входит создание и тестирование новых возможностей с использованием технологий и методов, таких как feature flag, prompt engineering, A/B тестирование. Требуется опыт программирования на Go, Python, TypeScript, а также навыки работы с React и full stack разработкой. Кандидат должен уметь проводить оценку эффективности AI-агентов и интегрировать их в продуктовую экосистему. Зарплата варьируется от 180,000 до 240,000 долларов.

Location: Berlin, Germany About the company Our client is the largest go-to-market company in the DACH region. They work with high ownership and a fast pace, and they look for people who don't wait to be told what to do, but see where things are on fire and step in. At our client you get real responsibility early and build things that carry the company Grown to over €5M ARR in about 2 years, profitable, bootstrapped and with 200+ B2B clients. Small team with direct access to the founders. If you have a good idea, you implement it yourself. We grow fast enough that responsibility keeps opening up, and we prefer to fill it internally. What you do Build GTM systems at the largest GTM company in the DACH region. Build the AI-powered outbound systems our client uses to generate pipeline for itself and its clients. Head start. GTM engineering has only existed for about three years, and we've been doing it at scale ever since with 200+ clients. Own tooling with our client's OS, our own scrapers running on a local LLM and buying signals from 50+ data sources.– Strong integrations with Clay, n8n, Claude Code, HeyReach and Pipedrive. What you build goes into the system and runs for every client. The Role: End-to-end outbound systems. From lead lists and enrichment to personalized copy at scale. Signals over volume. Turns intent, job changes or funding into tailored sequences. Team. Currently 6 GTM Engineers, with an expert or leadership track afterwards. Berlin, 3+2 hybrid · no-/low-code, no coding required. Stack with Clay, n8n, Claude Code, HeyReach, Zapmail, Pipedrive and our client's OS. Requirements Must Haves: Hands-on Clay experience, i.e. has built own tables with enrichment, waterfalls and AI columns Proven track record from own outbound campaigns, backed by numbers such as reply rate, booked meetings or pipeline (from a job, internship or own projects) Business sense and analytical thinking, builds systems end to end instead of just operating tools Ownership and drive, works independently and needs little guidance Fluent German skills Should-Have: (Most should be met) First professional experience in outbound, lead generation, RevOps or growth Defines target groups and qualifies leads based on signals Automates workflows with n8n, Make or Zapier Confident with AI tools and LLMs, e.g. prompting or Claygent Writes compelling, personalized outbound copy Nice to have: Claude Code or basic Python, JS or APIs Email deliverability and LinkedIn outreach (Zapmail, HeyReach) Experience with Pipedrive or other CRMs Startup, agency or consulting background Active in the GTM engineering community Benefits Coaching program with 1:1s from day one Deutschlandticket and Urban Sports Club M MacBook and a dedicated desk in the office Dinner when it gets late (from 7 pm) Regular team events and team evenings

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd Cloud, Infra, Data & Security is growing fast, and our architecture leadership needs to keep up. We need someone who can take an unclear problem, define it, design the answer, and make sure it ships. You'll set technical direction across cloud, infrastructure, and data. You'll shape engagements and roadmaps before they're committed. And you'll stay close enough to delivery that what we design is what gets built. We operate AI-first: you'll use AI as a daily tool to move faster and multiply what you and the teams around you can deliver. There will be ambiguity. That's the job. The plans don't exist yet, and you'll help write them. WHY THIS ROLE, WHY NOW: - You'll help define the business, not inherit it. The Cloud BU is rapidly scaling. The patterns, standards, and team habits you set now become how we operate. - The scope is broad on purpose. It covers cloud foundations, Kubernetes platforms, data, and AI workloads, so you won't be boxed into one layer. - Decisions move quickly. You'll work directly with BU leadership, and decisions take days, not quarters. - The problems are current. The work is getting AI workloads into production safely, building data platforms that are governed, and keeping cloud spend under control. WHAT YOU'LL OWN: - Architecture direction. You'll define reference architectures, landing zones, and standards across AWS and Azure, Kubernetes, and infrastructure-as-code. You'll decide what we standardize and what we leave flexible. - Data and AI platforms. You'll design lakehouse and warehouse, streaming, and governance patterns. You'll also design the platform layer that moves GenAI and agentic workloads from prototype to production, covering access control, evaluation, observability, and cost guardrails. - Solution shaping. You'll lead technical discovery, size and de-risk the work, and write the solution designs and technical scope that teams commit to. - AI-accelerated delivery. You'll use AI tools across the architecture lifecycle: discovery synthesis, design drafts, IaC and code generation, review, documentation, and estimation. You'll turn what works into repeatable patterns and prompts the team adopts. You'll also set the guardrails for how AI is used with client and production data. - Security and compliance by design. You'll own IAM, network segmentation, secrets management, and logging. Your designs need to hold up to SOC 2, ISO 27001, and regulated-industry scrutiny without slowing delivery down. - Cost and operability. Every design ships with a run cost, reliability targets, an observability plan, and a rollback path. - Raising the bar. You'll run design reviews, mentor architects and senior engineers, and turn repeat solutions into reusable accelerators. WHAT YOU BRING: Have 12+ years in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale. Have deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform (or an equivalent IaC tool). You can still review a pull request credibly. - Have designed and shipped modern data platforms, such as [Databricks / Snowflake / Fabric / Redshift], including governance and data quality, not just pipelines. - Think security-first. IAM design, zero-trust networking, encryption, and audit readiness are defaults for you, not afterthoughts. - Use AI as a force multiplier, not a novelty. You can show concrete examples of AI shortening your delivery timelines or expanding your output. You also know where it fails, and you verify what it produces before anything reaches production. - Can explain a tradeoff to a CFO in the morning and debug it with an engineer in the afternoon. - Act under ambiguity. You write the first draft of the plan instead of waiting to be handed one, then adjust it as you learn. NICE TO HAVE - You've put GenAI or LLM systems into production (RAG, evaluation, guardrails, agent orchestration). - You have multi-cloud or hybrid experience at enterprise scale. - You've worked in regulated industries such as financial services, healthcare, or the public sector. - You hold AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA. These help but aren't required. - You've built an architecture practice or center of excellence from an early stage. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. This role is open to MBA students graduating in spring 2027. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Android Software Engineers in Consumer Engineering work with Product Managers, Designers, Data Scientists, ML Engineers, Backend Engineers, and other mobile engineers to build, experiment with, and scale the experiences that help hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Build and evolve user-facing Android experiences that help people discover, consume, create, and engage with content and communities. Lead projects through the full development lifecycle, from product definition and technical design to implementation, experimentation, launch, and ongoing improvement. Partner with product, design, data science, ML, backend, and platform teams to shape strategy, translate technical capabilities into intuitive experiences, and deliver measurable user impact. Improve Android architecture, performance, reliability, accessibility, developer workflows, and engineering standards while mentoring teammates and driving cross-functional technical initiatives. Who You Might Be An experienced Android engineer who has built and shipped consumer-facing native applications at scale using Kotlin. A strategic, product-minded partner who connects technical decisions to user and business outcomes and can lead through ambiguity. A clear and collaborative communicator who can explain complex tradeoffs, influence stakeholders, and build alignment across teams. A curious, adaptable, and ownership-oriented teammate who embraces experimentation, learns from setbacks, improves processes, and helps others succeed. Technical Qualifications Professional experience developing native Android applications with Kotlin and a strong understanding of Android frameworks and application architecture. Ability to write idiomatic, readable, reusable, and testable code, with strong skills in debugging, performance optimization, reliability, and maintainability. Experience designing mobile systems and interfaces, evaluating architectural tradeoffs, and building scalable features from APIs through user-facing UI. Experience with experimentation, feature flags, instrumentation, analytics, and product or quality-of-experience metrics. Familiarity with Jetpack Compose, Android accessibility, Media3 or ExoPlayer, MediaCodec, HLS or DASH, recommendation systems, or ML-integrated products is a plus. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. T ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $206,699 — $258,374 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - Canada Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata is building a team of Prompt Engineers to leverage large language models (LLMs) to automate and optimize data annotation and human evaluation workflows. In this role, you will design and implement effective prompt strategies that improve accuracy, localization, and cultural alignment in data labeling and translation processes. Working closely with Product, Data Science, Operations, and client stakeholders, you will translate business requirements into scalable AI-driven solutions. You will identify automation opportunities, develop prompt-based workflows, and continuously measure and refine performance to ensure high standards of quality and reliability. This position offers the opportunity to directly impact efficiency, scalability and innovation for a leading global technology partner. What You’ll Own: Collaborate with data scientists, linguists, and localization experts to ensure accuracy and cultural relevance. Prototype and validate AI models to demonstrate initial feasibility, potential impact, and overall effectiveness. Design, develop, and implement prompts for data labeling and localization processes within software applications. Understand the current components of the software stack, use cases and problems and iterate on solutions leveraging a solid knowledge of data structures, data formats, and data modeling. Conduct user testing and feedback analysis to optimize prompt design for data accuracy and linguistic consistency. Analyze model performance using key performance indicators (KPIs) and metrics, ensuring that AI models meet customer acceptance criteria and deliver high-quality outputs. Communicate technical findings and solution strategies to both technical and non-technical stakeholders, including presenting model performance and actionable insights in a clear, accessible manner. Collaborate on data pipelines and workflows that integrate LLMs into automated systems, enhancing both the efficiency and effectiveness of data annotation tasks. Create guidelines and training materials for prompt usage in data labeling and localization projects. Stay informed on data labeling and localization industry trends and tools to enhance prompt engineering techniques. You’ll Thrive in This Role If You Have: 2 years of prompt engineering / LLM fine-tuning, or related AI/ML roles. Familiarity with tools/platforms for annotation and human-in-the-loop workflows (e.g., Labelbox). Experience designing and automating data annotation workflows. Knowledge of data annotation and the challenges of scaling human-in-the-loop workflows. Familiarity with cloud platforms, containerization, and model deployment. Deep understanding of LLMs (e.g. transformer-based architectures). Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks. Strong expertise in Python for NLU, for data processing & transformation, and for statistical analysis. Familiarity with JSON, Javascript or XML. Experience with popular frameworks and libraries, including TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools. Familiarity with APIs and platforms for working with LLMs (e.g., OpenAI, Hugging Face, etc.). Knowledge of localization best practices and cultural nuances for different languages and regions. Strong understanding of LLM evaluation metrics and the ability to assess model reliability, bias, and generalizability. Experience working with data pipelines, automation tools, and integrating models into production systems to ensure scalable, reliable solutions. The expected salary range for this position is $80,000 – $90,000 CAD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Portugal - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. THE ROLE You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing. WHAT YOU’LL DO Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes. Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements. Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context. Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership. Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows. Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities. EXAMPLE PROJECTS L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS. Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages. Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval. Across these workflows, build quality checks and human review routing that meet customer requirements. WHAT YOU BRING A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience. Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging. Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review. Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations. Ownership through deployment, documentation, customer enablement, and adoption. Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential. Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Задачі: — Аналізувати бізнес-потреби та збирати вимоги для AI, automation і digital-рішень — Виявляти можливості для оптимізації процесів і впровадження Generative AI — Створювати process maps, Solution Design Documents та іншу проєктну документацію — Співпрацювати з developers, solution architects і проєктними командами на всіх етапах розробки — Координувати UAT, підтримувати впровадження рішень та працювати над їх подальшим вдосконаленням Требування: — 4+ роки досвіду в Business Analysis, automation або digital transformation проєктах — Досвід збору та управління бізнес-вимогами, підготовки процесної та технічної документації — Розуміння Generative AI, prompt engineering, AI agents та Human-in-the-Loop підходів — Досвід роботи з AI-інструментами для аналізу, досліджень і створення рішень — Вільна англійська мова та сильні комунікаційні навички Умови: — Робота над міжнародними AI та digital-проєктами для команд Центральної та Східної Європи — Віддалений формат роботи або комфортний офіс у Львові на вибір — Персональний план розвитку, менторство та курси англійської й польської мов — Можливість працювати з сучасними AI-технологіями та Microsoft ecosystem — Офіційне працевлаштування, кар’єрне зростання та участь у масштабних трансформаційних ініціативах