Вакансии

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. We are looking for a Senior AI Quality & Evaluation Engineer to own the independent proof that retrieval works and that permissions hold. You’ll build and run the golden question suite, negative entitlement tests, and drift alarms that serve as acceptance gates — so the engineers who built the system are not grading their own work. This is a 50% allocation role across weeks 3–10, drawn from a Quality Engineering or GRC background, reporting to the POD Lead and working day-to-day with the retrieval engineer. WHAT YOU’LL DO - Build the golden question suite from top contact drivers and needs workshops — question, expected source, expected passage, and acceptance thresholds for relevance, grounding, and citation accuracy, versioned alongside the content it tests. - Build the negative entitlement test set — queries issued under unentitled identities that must return no restricted passage, with any failure raised as a severity-one alarm. - Build freshness and retirement tests — source-modified-to-index-available lag per item against the agreed threshold, and verification that retired items disappear on the next sync. - Automate the harness to run on schedule and after every content, configuration, or model change — publishing scores to the quality dashboard with trend lines and regression alarms. - Define the QA gate content analysts apply to remediated content. - Run the suite before every pilot change in weeks 7–9 and report misses with root cause — content, chunking, ranking, or permissions — to the right owner. - Write the evaluation runbook and train client stewards and platform owners to add questions, re-run the suite, and interpret regressions. REQUIRED SKILLS & EXPERIENCE - 3+ years in software quality engineering or test automation with Python, including building test harnesses that run in CI on a schedule. - Hands-on evaluation of a search or RAG system in production — writing ground truth sets, scoring relevance and grounding, and tracking drift over time. - Experience designing security-focused negative tests — authorization, entitlement, data exposure — and reporting them at the severity a client security team expects. - Ability to work in AWS — invoking Bedrock and OpenSearch APIs, reading CloudWatch, deploying a scheduled job with infrastructure code. - Clear written reporting; the suite’s output is read by client stewards, not only engineers. PREFERRED QUALIFICATIONS - AWS Certified AI Practitioner or Machine Learning Engineer Associate. - Experience with RAG evaluation libraries and LLM-as-judge scoring with human calibration. - Contact center or knowledge management domain exposure. - Familiarity with SOC 2 or ISO 27001 evidence practices. 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.

Задачи: — Прием и обработка заявок сотрудников (HelpDesk / GLPI), помощь в решении инцидентов; — Поддержка пользователей Windows: установка и настройка ПО, работа с учетными записями (Active Directory), помощь с почтой и периферией; — Поддержка пользователей Linux: помощь с установкой и настройкой дистрибутивов (Mint, Fedora, Ubuntu, RHEL, AlmaLinux, CentOS), работа с командной строкой, правами доступа; — Диагностика проблем на рабочих местах и серверах: анализ логов, диагностика CPU, памяти, дисков, сетевых подключений и трафика; — Документирование инцидентов в Jira, ведение комментариев и написание инструкций; — Регулярные поездки в Зеленоград (1–2 раза в неделю). Требования: — Опыт работы с пользователями (поддержка, helpdesk, сервисное обслуживание); — Коммуникабельность, терпение, желание помогать людям; — Практический опыт работы с Windows на уровне уверенного пользователя или администратора; — Практический опыт работы с Linux на уровне продвинутого пользователя; — Пунктуальность и дисциплина: приходить вовремя, соблюдать график, без систематических опозданий; — Ответственность за результат: доводить заявки до решения, не терять обращения, отписываться по задачам, быть на связи на случай аварий; — Готовность к регулярным поездкам в Зеленоград и к работе в офисе в Москве; — Обучаемость и мотивация развиваться в IT. Будет плюсом: — Опыт администрирования Linux; — Навыки работы с сетями (маршрутизация, VPN); — Опыт с виртуализацией (Proxmox); — Опыт работы с мониторингом (Zabbix, Grafana, Prometheus), реагирования на алерты; — Опыт написания скриптов автоматизации (bash, Ansible); — Знакомство с САПР для разработки микросхем (Calibre, Innovus и т.д.) будет дополнительным плюсом. Условия: — Работа в динамично развивающейся компании, лидере в области разработки микропроцессоров; — Развитие внутри функционала: помощь в освоение новых компетенций и возможности решать сложные задачи; — Современный тихий комфортабельный офис в Москве (Ostankino Business Park) в 5 минутах от метро; — Просторный светлый офис в Зеленограде (Северная Промзона); — Фиксированный график 9:00–18:00; — при экстренных авариях — последующие отгулы; — Заработную плату по итогам собеседования, соответствующую вашему опыту; — Официальное трудоустройство в аккредитованной IT-компании с предоставлением отсрочки от армии; — Расширенную ДМС (стоматология, стационар, страхование в путешествиях); — Профессиональный коллектив и комфортную рабочую атмосферу. Этапы: 1. Звонок с HR 2. Онлайн-интервью с руководителем IT-отдела 3. Очная встреча в офисе с руководителями отдела и департамента.

Location: Kuala Lumpur, Malaysia 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Financial Crime Quality Assurance (QA) team at OKX is part of the Compliance Assurance function and is responsible for reviewing and rating the quality of AML Transaction Monitoring alert disposition and Financial Crime Investigations performed by the Global Financial Crime Investigations Team. We are a team of risk-focused compliance experts who independently assess investigation quality, promote consistency in decision-making, and ensure compliance with AML/CFT requirements, internal policies, and regulatory expectations. By working closely with Operations, Product, and Compliance teams, we help strengthen financial crime controls and drive continuous improvement across the investigation lifecycle. About the Opportunity This is an exciting opportunity to join the Compliance Assurance Function of a regulated crypto business. As a QA Analyst, you will be responsible for conducting quality reviews of financial crime investigations, assessing investigator decision-making, and ensuring compliance with AML/CFT requirements, internal policies, and quality standards. You will work closely with Operations, Team Leads, and Product teams to drive continuous improvement, strengthen investigation quality, and support the effectiveness of the firm's financial crime controls. What You’ll Be Doing Quality Reviews – Conduct daily independent QA reviews of investigator and Sanctions casework, including Transaction Monitoring, Name Screening, EDD, and other AML investigations. Evaluate accuracy, completeness, adherence to AML/CFT policies, regulatory requirements, internal procedures, and the quality of case narratives. Assess whether investigative decisions are well-supported, risk-based, and appropriately documented, including escalation and disposition outcomes. Identify defects, document findings, and provide clear, constructive feedback to investigators and team leads. Stakeholder Collaboration – Partner closely with the Financial Crimes Operations team, Team Leads, Product teams, and other stakeholders to communicate QA findings, discuss quality trends, resolve process gaps, and ensure consistent interpretation of policies and quality standards. Build strong relationships across AML and other cross-functional teams to support a holistic approach to compliance and risk management. Quality Calibration & Internal QA Meetings – Participate in and facilitate regular QA calibration sessions to review complex or borderline cases, discuss grey areas, align on scoring methodology, and ensure consistency in quality evaluations across the QA team. Share key findings, emerging typologies, regulatory expectations, and best practices to improve review quality and reduce subjectivity. Performance Monitoring & Reporting – Monitor investigator quality performance, analyze QA findings and recurring error trends, and prepare regular quality reports and dashboards. Identify systemic issues, emerging risks, root causes, and opportunities to strengthen controls and support management decision-making. Coaching & Quality Improvement – Provide timely and actionable feedback to investigators and team leads to improve investigation quality, strengthen analytical skills, and enhance case documentation. Act as a Subject Matter Expert (SME) for AML investigations by providing guidance on complex or high-risk cases, typologies, and regulatory expectations. Support remediation activities by validating corrective actions and tracking quality improvements over time. Policy & Process Compliance – Ensure all reviews are conducted in accordance with internal AML/CFT policies, regulatory requirements, quality frameworks, and standard operating procedures. Escalate potential compliance risks, control weaknesses, or systemic issues identified during QA reviews. Continuous Improvement & QA Framework – Support continuous improvement by recommending enhancements to investigation procedures, QA methodologies, workflows, scorecards, sampling frameworks, training materials, and quality controls. Contribute to AI-enabled quality tools such as QA Copilot and participate in UAT, process validation, and implementation of new quality initiatives. AML Projects & Program Enhancements – Participate in AML-related projects, initiatives, and program enhancements as required. Provide QA expertise and support cross-functional initiatives aimed at strengthening AML controls, processes, and overall program effectiveness. Ad Hoc Responsibilities – Perform additional assignments and special projects as delegated by the supervisor, including process improvement initiatives, training support, root cause analysis, documentation updates, and cross-functional projects to strengthen the overall quality program. What We Look For In You Bachelor's degree in law, finance, business administration or a related field; a relevant compliance certification (e.g. ICA, CAMS) is an advantage 5-7 years of experience in a compliance, legal or regulatory role within financial services, fintech is required Prior experience in the cryptocurrency or digital asset industry is highly preferred, including familiarity with blockchain analytics tools (e.g. Chainalysis, Elliptic, TRM Labs) and crypto-specific financial crime typologies Strong understanding of AML/CFT regulations, financial crime investigations, transaction monitoring, and QA methodologies, with the ability to evaluate investigation quality, assess decision-making, and ensure compliance with regulatory requirements, internal policies, and quality standards Strong analytical ability, with the capacity to assess regulatory obligations, identify gaps and produce well-reasoned written analysis High attention to detail and the ability to maintain accurate records and produce consistent, high-quality documentation Fluent in English with clear written and verbal communication skills, including the ability to convey compliance requirements to non-specialist colleagues 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! 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: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. At Wealthsimple, we take our clients' security seriously. The Fraud Investigations team is the front line of defense within our Security & Risk group. We are looking for a sharp, detail-obsessed Fraud Investigator to specialize in Cryptocurrency Fraud. You will be the detective protecting our clients' digital assets, tracing on-chain transactions, and ensuring our crypto platform remains a safe place to build wealth. This is a 9-month contract with the possibility of extensions or conversion based on performance and business needs. What you will do: - Investigate & Trace: Dive into the weeds of suspected crypto scams, wallet compromises, and unauthorized withdrawals. You will use blockchain forensic tools (like Chainalysis) to trace funds, map wallet clusters, and uncover the destination of illicit transactions. - Secure & Mitigate: Take immediate, decisive action to lock down compromised accounts, halt suspicious outgoing transfers, and mitigate losses in an environment where transactions are instant and irreversible. - Guide the Client: Communicate directly with clients who may have fallen victim to sophisticated crypto scams (e.g., phishing, romance scams, or fake investment platforms). You will manage their expectations regarding the finality of blockchain transfers with absolute empathy and clarity. - Manage the Queue: Act as a master multi-tasker, managing multiple complex on-chain investigations at once while strictly maintaining case-closure Service Level Agreements (SLAs). - Connect the Dots: Participate in weekly calibration sessions with your peers to share findings, spot new blockchain scam typologies, and help the team stay one step ahead of the fraudsters.   Who you are: - The On-Chain Detective: You have incredibly high attention to detail. You love following the money across the blockchain, analyzing ledger data, and solving the puzzle of complex crypto movements. - Calm Under Pressure: You are resourceful, persistent, and thrive in a fast-paced environment where quick decisions are required to protect assets before they are moved off-platform. - An Empathetic Communicator: You know that behind every lost wallet or scam is a real person. You excel at taking complex blockchain concepts and explaining them simply and calmly to our clients.   The Requirements: - Experience: Minimum 1 year of direct fraud experience, with specific exposure to cryptocurrency investigations, crypto compliance, or digital asset security. - Blockchain Forensics: Hands-on experience or direct exposure using Chainalysis (or similar blockchain tracing tools) to map and investigate transaction flows. - Industry Knowledge: Demonstrated understanding of common crypto fraud typologies (pig butchering, phishing, rug pulls) and how traditional fraud management intersects with Web3. - Analytical Chops: The ability to collect, organize, and analyze both off-chain (IPs, device IDs) and on-chain datasets with precision and accuracy. - Communication: Exceptional written and verbal communication skills.   Nice to Haves: - Certifications: Completed courses or certifications in blockchain forensics, cryptocurrency compliance, or digital assets (e.g., Chainalysis Reactor Certification (CRC), CCAS, or similar). - Web3 Curiosity: A genuine, active interest in the broader cryptocurrency ecosystem and underlying blockchain technology. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Products Team at Docker is looking for a Director of Product Management to lead our core Sandbox platform. You will own the vision, strategy, roadmap and execution for Docker’s sandboxes, taking this area from high-level concept design to delivery and adoption. You will manage a team of 2-3 product managers, coaching them and setting the bar for how we build. You will help shape the future of a key area of Docker, partnering with Engineering, Design, Security, and Go-to-Market leaders, and working closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will build a team and a culture eager to continuously build, measure, and learn. To thrive in this role, you’ll need a track record of leading product teams, along with deep experience working with developers and technical knowledge of developer tools. You’ll need to know how to work with the developer community and understand the lifecycle of software development, the software supply chain, and how AI agents are safely orchestrated and deployed with sandboxes. You’ll need a relentless drive to try new things, and an eye for detail. Your long-term success will depend on your ability to set and own the product strategy and roadmap, develop great product managers, collaborate with the developer community, and scale our services. Most importantly, you’ll need to be okay with taking ownership of big objectives with big goals, leading through cross-functional teams, and maintaining a bias for action. _______________________________________________________________________ RESPONSIBILITIES - You own the product line for Docker’s sandboxes: the long-term vision, the strategy, the roadmap, the revenue, and the results. - You lead and manage a team of 2-3 product managers. You coach them, set clear expectations and a high bar for product quality, and create the conditions for them to do the best work of their careers. - You believe in and can articulate succinctly our customers and their pain points. You empathize with and understand the world they live in and the constraints they work through, and you make sure your team does too. - You will engage deeply with developers and find amazing solutions that solve today’s problems while optimizing for tomorrow’s vision, including how AI agents are safely run and orchestrated. - You enjoy building products that are easy to adopt and use. You have a keen design sensibility, and you hold your team to a standard of always looking for ways to improve usability. - You are comfortable with ambiguity and will guide product definition, prioritization, and scope across your team, in concert with Engineering, Design, Security, and Go-to-Market leaders. - You translate company strategy into a clear product direction and communicate it with clarity and conviction to partners and your own team. - You present your thinking, plans, and progress to Docker’s executive leadership team, making a clear case for where to invest and why, and you incorporate their feedback into the strategy. _______________________________________________________________________ QUALIFICATIONS - You have 10+ years of product management experience, including at least 3 years managing and developing product managers. - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have created and deployed AI agents at scale and dealt with all the challenges and pain points of such tasks. - You have experience building B2B, SaaS, or have a background in Public Cloud. - You have experience working with tools in the software supply chain and/or software security. - You can set a multi-year product vision and strategy, then break it down into small, release-able, user-valuable features that your team can deliver. - You can explain complex ideas simply and communicate across diverse stakeholders, including presenting to executive leadership. - You have effective written, verbal, and visual communication skills. - You can analyze data, both qualitative and quantitative, to inform decision making, and you coach your team to do the same. - You have a collaborative approach and the ability to lead through influence with fast-moving, distributed, cross-functional teams. - You have experience running products at various stages of maturity, from legacy to greenfield. - You are a coach/player. We are small and need all hands on deck. Everyone gets their hands dirty Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.   Canada: CA$276,150 - CA$394,500 base United States: $199,150 - $284,500 base   ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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. About the role The Claude Partner Network is how partners build, sell, and deliver on Claude. Partner Support keeps them moving: getting set up, getting certified, registering their work, and understanding where they stand in the program. It runs in layers. Self-serve and an AI support agent handle what they can, an outsourced vendor team works the in-scope (L1) topics, and our specialists take the escalated (L2) cases that need judgment. As our Partner Support Operations Lead, you will run partner support end to end: the team, the operating model, and the systems behind every layer. Partner Programs sets program policy. You will build and run the service levels, knowledge, quality bar, and escalation paths that put that policy into practice, and keep them reliable as volume grows. This is a hands-on operator and builder role. You will be close enough to the queue to know why a case was hard or a rule broke, while you build the team, the vendor coverage, and the Claude-powered automation that keep support from growing in line with partner count. Key responsibilities Manage the partner support team: set priorities and clear expectations, coach the Partner Support Specialists, address performance early, and expand the team if volume or coverage calls for it Own the support operating model: the L1 and L2 boundary, severity definitions, service levels, and escalation paths; review misrouted and wrongly escalated tickets, and fix the rule as well as the ticket Run the L2 queue to its service levels: coverage across shifts, one owner for every case, clean handoffs to the teams that hold the answer, and careful handling of sensitive and high-impact partner issues Manage the support service line with our business process outsourcing (BPO) team: work with their leads day to day and hold a stated quality bar through training and sign-off for each new cohort, the QA rubric and calibration, the weekly operating review, and corrective action when quality or coverage slips Own the knowledge layer: one source of truth for the help center, macros, and AI agent content, updated when a program change ships, so every layer gives partners the same answer from day one of a launch Own the support platform: routing, conversation attributes, views, workflows, access, and service-level reporting; keep the taxonomy short, consistent, and reportable Scale through self-serve, vendors, and Claude: use topic and outcome data to decide what moves to each, and build automations for tagging, routing, QA screening, and reporting; test them on real tickets and add human checkpoints where a wrong answer carries risk Turn what partners ask into fixes: bring the recurring causes behind ticket volume to Partner Programs, Partner Business Systems, and other owners, and follow each one through until the tickets stop Run support on a scorecard covering responsiveness, resolution, escalation accuracy, and quality, and use it to plan capacity and to tell the team, the vendor, and leadership what to fix next Minimum qualifications Support operations experience at a technology company, including managing a small team Experience running an outsourced or BPO support team: onboarding waves, service levels, QA rubrics, calibration, and performance feedback A track record of building a tiered support model from an early stage and running it as volume grew Hands-on depth in Intercom or a comparable platform (Zendesk, Salesforce Service Cloud): routing rules, attributes, workflows, reporting, and permissions Experience running knowledge and content for an AI support agent, including how to review answer quality and close content gaps Strong analytical instincts: able to read ticket data, find the cause behind a spike or a backlog, and turn it into a fix and a capacity plan Sound judgment while the program is still moving: able to make the call with incomplete information, hold a policy line with a frustrated partner or an internal stakeholder, and keep the relationship intact A builder's mindset and clear writing: you use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it Preferred qualifications Support operations experience in a B2B, partner, or channel environment Experience supporting a partner, reseller, systems integrator, or independent software vendor (ISV) program Experience building support coverage across regions, time zones, or languages Familiarity with Salesforce, and with the Claude API, Claude Code, or MCP 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: $215,000 — $300,000 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: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: Optical Engineer - Location: Warsaw, Poland - Department: Engineering /Optical Systems - Reports to: Optical Metrology and Test Lead - Employment type: Permanent - Workplace model: Hybrid (on a weekly basis) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Optical Engineer, you will prove that ICEYE's next generation of spaceborne imaging systems performs as designed. Working side by side with the optical design and AIT teams, you will build the test methods, set-ups and measurement strategies that verify optical performance at every stage, from individual components, through alignment, to complete system ready for qualification. Your data will feed straight back into design decisions, closing the loop on the trade-offs between optical design and detector performance, and giving the team the confidence to take on more ambitious optical systems. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Define and own the optical test and metrology strategy for the team's imaging systems, subassemblies, alignment, integration and qualification. - Design, build and maintain optical test set-ups, such as interferometric benches, MTF and image quality measurement, detector characterization benches. - Measure and verify the performance of optical systems against requirements (wavefront error, MTF, focus, distortion, boresight, radiometric response, stray light). - Support precision alignment and assembly with metrology, including dimensional measurement, tolerance verification and alignment of optics. - Plan and run environmental qualification testing (for example thermal vacuum, vibration and thermal cycling) with optical performance checks before, during and after, and analyse the results. - Develop automated test and analysis software to acquire, process and report measurement data, with traceable calibration and documented measurement uncertainty. - Turn test results into clear findings for optical designers and system engineers, so that measured performance shapes current and future designs. - Write test procedures, reports and verification evidence, and lead investigations into non-conformances together with suppliers and internal teams. WHAT WE’RE LOOKING FOR Must haves: - Experience in testing imaging optics, ideally cameras, telescopes and other precision imaging systems, across the product lifecycle from manufacturing and quality control through assembly, alignment and qualification. - Knowledge of optical measurement techniques, such as interferometry, wavefront measurements, MTF and image quality evaluation, and the set-ups behind them. - Knowledge of the detector side of the system, including focal plane and detector assemblies, and how detector performance is characterized. - Strong skills in instrument control and data analysis (for example Python or MATLAB), with a bias towards automating measurements. - Solid understanding of calibration, traceability and measurement uncertainty, and the ability to judge how far a result can be trusted. - Clear technical writing and communication, and a collaborative approach to working with design and systems engineers every day. Nice to haves: - Experience testing space-qualified hardware, including environmental qualification such as thermal vacuum, vibration and thermal cycling. - Experience with stray light analysis or radiometric calibration. - Knowledge of satellite systems and the integration of the optical payload with satellite platforms. APPLICATION PROCESS - Talent Attraction Screening - Hiring Manager Screening - Onsite workshop + Technical discussion - Interview with Leadership WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Spain; Romania; Greece Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Job Description Summary   In this exciting position, the Multimedia Content Reviewer will be responsible for writing, adapting, reviewing, and evaluating a wide range of linguistic and multimedia content in Italian, ensuring the highest standards of linguistic accuracy, cultural relevance, and overall quality for customers using the world's foremost multimedia platforms.  The role combines creative and editorial expertise with analytical and quality evaluation skills, covering traditional localization work as well as emerging content types, including AI-generated content, linguistic annotation, and structured content evaluations.  With time, the Multimedia Content Reviewer will become the cultural ambassador for their language market and will be expected to produce fully localized content, flag potential cultural issues, and articulate suggestions to make all content appropriate and relevant for the target market.  The ideal candidate possesses a background in journalism, editorial content, copywriting, or a related field, has proven creative writing skills, and a keen attention to detail. They should also demonstrate strong critical thinking, sound editorial judgment, and the flexibility to navigate different workflows, guidelines, and content evaluation methodologies.  In addition, we're seeking candidates who are passionate about music, film, sports, gaming, and technology, and have a knack for iOS and macOS devices. Main Duties Localize, translate, and adapt content of various categories (i.e. multimedia, legal, technical, marketing, sports, entertainment, health and wellness, and other digital content) while adhering to writing style guides and project-specific guidelines. Write new copy for a range of multimedia products such as music, TV, film, sports, apps, video on-demand, game subscription services, and more. Copy-edit and fact-check content to ensure accuracy, clarity, consistency, and cultural relevance. Perform LQA (Localization QA) testing of content published on live platforms (music and app descriptions, marketing material, and marketing campaigns). Evaluate human-written and AI-generated content for linguistic accuracy, fluency, relevance, consistency, and adherence to project-specific quality standards. Perform linguistic annotation, content classification, and structured evaluation tasks using predefined guidelines, rating scales, and quality criteria. Identify and document errors, inconsistencies, and quality issues, providing clear, actionable feedback and supporting rationale for evaluation decisions. Conduct market-specific research on local content treatment, audience preferences, cultural nuances, product and terminology trends, and best localization practices for the target audience. Report on data and/or assets across a broad scope of media and content types, ensuring accuracy, consistency, and compliance with project requirements. Collaborate with global language teams via virtual meetings and email on content review tasks to align on terminology, style, quality standards, evaluation criteria, and market-specific insights. Requirements BS/BA and 2+ years of work experience in journalism, copywriting, editing, digital media, content production, or a related field. Experience in translation and localization of multimedia content or demonstrated experience adapting content for Brazilian audiences. Native-level proficiency in Brazilian Portuguese, with excellent grammar, writing, editing, and linguistic judgment skills. Ability to quickly detect issues and inconsistencies across large volumes of content and make sound judgment calls based on the information at hand. Ability to interpret and consistently apply detailed guidelines, rating scales, and evaluation frameworks across different projects. Familiarity with AI-generated content, linguistic annotation, content evaluation, or data quality assessment is a plus. Is in tune with and has a wide range of knowledge of music, film, TV, sports, gaming, technology, and Brazilian pop culture. Has the ability to own linguistic quality for the Brazilian Portuguese market and make confident linguistic decisions. Must be highly detail-oriented with the ability to multitask, prioritize, and meet deadlines. Fluency in written and verbal English. Strong computer literacy; knowledge of iOS/macOS systems is a plus. Ability to work independently and remotely. Collaborative; enjoys teamwork in a multicultural environment and is open to feedback, calibration, and continuous learning.

Location: New York City Metropolitan Area; New Jersey Workplace: hybrid About the Role: The problem you'd be solving We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday. We are hiring a People & Talent Partner to help us scale our FDE/FDX, Product, and GTM teams. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly. Beyond filling roles, you will own the talent community strategy around Provectus, and you will build the people-operations presence for our US team locally — be the person our US colleagues come to first. Location: Hybrid, New York: 2-3 days onsite. Type: Full-time (W2). What You'll Do: Recruiting: Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer: Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists. Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do. US hiring strategy. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers. People operations for the US team. You'll be the on-the-ground people partner for our US-based colleagues, working with the Head of People Operations: Onboarding of US hires. First point of contact for US employees on benefits, time off, policies, and day-to-day people questions. Support for the performance review cycle for US-based staff: scheduling, collecting feedback, tracking outcomes. Team engagement and onsite days — the rhythm that makes a hybrid New York team feel like a team. What's the split between Recruiting and HR? 70/30 What You'll Bring: 4+ years of full-cycle recruiting experience in a fast-paced technical environment, ideally at an AI, cloud, or consulting firm Proven track record of sourcing and hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders Demonstrates personal AI adoption — uses AI tools as part of their recruiting workflow, not just aware of them Exposure to HR generalist or people-operations work — onboarding, benefits, employee relations — or a clear appetite to build it. You don't need to have been an HRBP. Excellent communication and stakeholder management skills; comfortable partnering with C-level and senior technical leadership Highly organized, self-directed, and comfortable with ambiguity in a distributed, global team Commitment to Provectus's core values: Obsession, Ownership, Transparency, and Partnership Based in the New York / New Jersey area and able to be onsite [2-3] days a week Nice to have: Experience building talent community: events, meetups, professional networks, or university programs Familiarity with US benefits administration, onboarding, and experience with an HRIS. Where this goes: This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, a deeper people-partner role as the US team grows, and a path toward owning the US talent function. We'll talk about that trajectory. What We Offer: Direct impact on Provectus's growth in the US market with direct visibility to leadership. Access to the Provectus Learning Hub, Claude Code certification support Collaborative culture that rewards ownership, curiosity, and continuous learning Full-time W2 model. Base $150k- 170k. Final offer reflects experience, skills, and market data. Health, vision, dental, disability, and life insurance; 401(k) plan; unlimited vacation. About Provectus: Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA. Hiring Process: 30-45-minute call with the Head of Talent Acquisition 30-minute call with the Head of People Operations On-site meeting with the CEO

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Acts as the senior Rewards Business Partner and connective layer between Nebius' global Rewards operating model and its global Infrastructure organization. Owns delivery of company-wide rewards programs into Infrastructure, ensuring effective execution, adoption, and alignment with global principles, governance, and controls. Brings deep understanding of Infrastructure priorities, talent needs, and external market trends to proactively recommend evidence-based improvements or adaptations. Any changes are developed with global program owners and agreed through established governance, preserving one coherent Nebius operating model. Key Responsibilities: Owns end-to-end delivery of Nebius' global rewards programs for Infrastructure, translating enterprise frameworks into clear plans, decisions, communications, and manager actions that work effectively for the organization. Serves as a trusted advisor to senior Infrastructure leaders, HR Business Partners, and Talent Acquisition, balancing strong advocacy for Infrastructure needs with stewardship of company-wide consistency, fairness, affordability, and governance. Leads evaluation of new and evolving Infrastructure roles within Nebius' global job architecture, recommending grade, salary range, incentive opportunity, and equity treatment and escalating genuine framework gaps to the relevant global owners. Leads Infrastructure delivery across merit, bonus, and equity cycles, coordinating global timelines and requirements, guiding leadership calibrations, resolving complex issues, and ensuring accurate, equitable, and on-budget outcomes. Monitors external market trends and internal Infrastructure workforce data across geographies, roles, pay mix, and incentive practices; identifies emerging gaps and converts the evidence into practical recommendations for global program owners. Applies Nebius' global equity frameworks across Infrastructure, ensuring consistent treatment while surfacing evidence-based proposals for geographic, performance, or critical-talent differentiation through the appropriate governance channels. Builds and scales local compensation policies as Infrastructure expands into new countries and regions, ensuring new-market pay practices align with global governance while reflecting local market realities. Develops executive insights on pay positioning, incentive outcomes, equity value, budget impact, hiring trends, and retention risk, connecting Infrastructure-specific signals to enterprise priorities and clear decisions. Tracks delivery, adoption, and effectiveness of rewards programs in Infrastructure, identifies structural pay, incentive, compression, or equity risks, and leads corrective action with global program owners and business stakeholders. Acts as the two-way bridge between Infrastructure and global Rewards: brings business insight into enterprise design, influences priorities and practical adaptations, and translates, supports, and explains global approaches within Infrastructure. Leads manager enablement and guides less experienced rewards professionals. Requirements: Extensive progressive experience in compensation or total rewards, including substantial business-partnering experience with Engineering, Infrastructure, or other technical functions in a complex multinational organization. Advanced, wide-ranging knowledge of base salary, equity programs, market pricing, job evaluation, and annual compensation planning, with depth in technical/infrastructure reward models and international, multi-country pay practices. Advanced analytical and financial modeling skills, with the ability to evaluate ambiguous variables, assess business and cost implications, and turn complex data into clear executive recommendations. Demonstrated success influencing and constructively challenging senior stakeholders while balancing business advocacy with enterprise stewardship, global consistency, and sound governance. Executive-level communication, consulting, and facilitation skills, with the ability to align diverse stakeholders and explain sophisticated rewards concepts with clarity and commercial relevance. Experience owning delivery of cross-functional rewards programs in a matrixed global model and using compensation, market, and business intelligence tools to drive scalable outcomes. Experience in a publicly listed, global, fast-growing technology or AI organization preferred; experience guiding other rewards professionals and a Certified Compensation Professional (CCP) designation are advantageous. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. What You'll Do Support our marketing attribution models and methodology: review how conversions are credited across channels, reconcile platform-reported and first-party numbers, and keep the approach trusted and documented. Design and maintain the marketing data models behind measurement (spend, attribution, orders and customer cohorts) with Analytics Engineering, with clear definitions, tests and documentation. Support Growth and Marketing with ad-hoc and core analytics, such as campaign and market performance, self-serve dashboards and AI-assisted analytics. Design and run geo experiments from simulation-based power analysis and market selection to success criteria and read-out, working with the marketing performance team. Co-own a prioritised quarterly incrementality test roadmap across channels and markets, ranked by decision value, cost, feasibility (including properly powered tests) and learning, and track each test through to a decision. Handle spillover, seasonality and small-market noise, and report incremental CAC and incremental ROAS with honest uncertainty. Turn test results into investment guidance: estimate marginal returns and saturation by channel and market, and recommend where the next dollar should go and where to pull back. Help set and document our causal measurement standards: which method when, what counts as sufficient evidence, and how results calibrate attribution and MMM for budget allocation. Defend the framework under challenge from channel owners and leaders, and pressure-test platform claims. Guide Growth, Acquisition and Finance from business question to testable hypothesis to budget decision, and build literacy on attributed versus incremental performance. Build reusable experiment tooling and templates, work with Analytics Engineering and MarTech on the data experiments needed, and document every test and decision as you build this capability from scratch. What You'll Bring 3+ years of experience in marketing measurement (attribution, incrementality or marketing mix modelling), with a track record of analysis that changed real budget decisions. Solid grounding in causal inference and experimental design: randomised and quasi-experimental methods such as synthetic control and difference-in-differences, simulation-based power analysis to size and design tests, and knowing when each approach breaks. Strong statistical judgement: you can quantify uncertainty, explain it simply, and resist overclaiming. Hands-on experience with marketing attribution models and their limits, including reconciling platform-reported results with first-party data. Familiarity with how experiments calibrate MMM and attribution, and with marginal-return and budget-optimisation thinking (saturation, diminishing returns). Expert SQL and Python, production-quality code, a modern warehouse (BigQuery or Snowflake) and a BI tool such as Lightdash or Looker. Strong data modelling skills: designing clean, tested and documented models (dbt or similar) for marketing spend, attribution and customer data, and working closely with Analytics Engineering. Strong core analytics skills: marketing and customer metrics (CAC, LTV, retention, funnel and cohort analysis), dashboards and self-serve BI, and the judgement to prioritise ad-hoc requests alongside the test roadmap. Proven ability to influence senior stakeholders: you hold a position under challenge, have shaped a roadmap, and say no with a clear rationale. Comfortable with ambiguity and with data that is still improving: you're a proactive self-starter who is happy to create a new process or capability in a small, fast-growing team. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £64,000 - £96,000 📍Spain: €62,000- €93,000 📍Germany: €68,000- €102,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is building a Training practice to accelerate customer onboarding and adoption, and help them realize measurable value from Docker’s AI Governance products. As Senior Manager, Training you will own learning journey design, operations and outcomes. This is a founding role. You will start as an individual contributor, personally building the first learning paths and standing up the platform, and you will grow into leading a team as the Training function scales. This is a high-visibility role within our Professional Services organization and works directly with leadership in Professional Services, Technical Account Management and Onboarding Specialists. You’ll define how new customers learn to implement Docker in their first weeks and months, developing user and administrator self-led journeys and instructor-led workshops. You’ll prove Training impact with data tied to onboarding, implementation and adoption milestones, and the value customers realize. You will build on a modern learning stack anchored on Skilljar and Instruqt. You will make AI a core part of how customers are implemented, using agents to produce content, coach learners, and run learning operations. RESPONSIBILITIES - Own the training journey for customer implementation training, focused on admins, IT, security, DevOps teams and non-developer teams adopting Docker Sandboxes and AI governance products. - Own the learning technology stack built on Skilljar and Instruqt, including catalog and learning-path structure and authoring workflows - Build hands-on: author the first implementation paths, labs, and assessments, and configure and administer Skilljar and Instruqt. - Design the training practice to be AI-native using built in features from Skiljar and Instruqt and support from Professional Services engineers: agents draft courses, lab guides, and assessments from product docs, release notes, and engineering changes, and flag stale content, with an SME review gate for technical accuracy before anything is published. - Establish repeatable curriculum standards: implementation path templates, hands-on lab patterns, assessment and badging criteria, content review and refresh cycles and web-based customer journeys. - Partner with technical subject-matter experts within Professional Services to build content, and support them on authoring in Instruqt. - Use AI agents, vendors, contractors, and SMEs as leverage to scale output ahead of headcount. - Define team model: roles, sequencing, and the business case for first hires. - Ensure learner data practices meet Docker’s privacy, security, and vendor review standards, including PII minimization and DPA requirements for training platforms and any AI models that process learner data. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years in technical training, customer education, or enablement leadership at a SaaS/infrastructure company, including 5+ years leading programs or teams, with a record of building a function from the ground up. - Comfortable as a hands-on builder and sole practitioner, with the ability to hire and lead a team as the function grows. - Demonstrated ability to influence senior stakeholders and technical contributors and drive alignment without formal authority. - Hands-on experience with an enterprise LMS (Skilljar preferred) and learner journey design. - Experience building and running customer implementation, onboarding, or education programs, including instructional design, hands-on labs, and certification or badging. - Experience with AI/ML and agentic AI concepts, and the ability to build training for AI workloads in enterprise environments. - Proven record of measuring training impact, using implementation completion, adoption, and business metrics, including retention, expansion, and revenue contribution, to show ROI to executives. PREFERRED - Hands-on experience applying AI and LLM tools to content production, learner support, or learning operations, with clear human review and quality controls. - Experience building agent-based or MCP-integrated learning and documentation experiences, including AI lab coaching and automated assessment. - Experience managing vendors and platform engagements, including professional services partners and internal engineering dependencies. BONUS - Strong technical credibility in containerization, container and software supply chain security, and enterprise IT and identity environments, with the ability to evaluate content quality alongside engineers. - Experience linking customer education to implementation completion, retention, and time-to-value metrics in a customer success or CRM platform. - Experience unifying documentation and learning platforms into a single SSO-authenticated learner experience. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker’s mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, customers, and the current customer implementation journey, including provisioning, implementation engagements, and handoffs. - Build strong partnerships with Professional Services leaders, along with Skilljar, Instruqt, and vendor professional services contacts. - Plug into the team’s rhythm of business (standups, reviews, shadow customer implementation engagements). FIRST 90 DAYS You will be supported in the first 90 days by Professional Services SMEs, vendor professional services teams, and contractors. - Define the customer implementation training strategy, charter, and operating model, including audiences, intake and prioritization, and success metrics. - Launch a baseline analytics view of implementation milestone completion, badging, and adoption for executive reporting. - Ship the first priority implementation paths with hands-on labs, and establish a badging framework. - Pilot an AI-assisted content workflow with an SME review gate, and define the AI governance model for learner data and generated content. ONE-YEAR OUTLOOK - A proven, data-backed Training practice with first hire(s) in place or approved and a defined team roadmap. - AI agents handle the majority of content drafting, refresh detection, and reporting, so a lean practice can scale ahead of headcount, with an AI lab coach and personalized implementation paths live for customers. - Measurable improvement in implementation completion, on-time provisioning, and time-to-value, with training demonstrably linked to adoption, retention, expansion, and revenue contribution. - New product capabilities launch with implementation training and labs ready on day one, and continuous improvement is institutionalized through learner analytics and customer feedback. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$179,149 - CA$255,927 base United States: $131,495 - $187,850 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы ищем ведущего ML-инженера, который возьмёт на себя развитие ML-направления в команде, работающей над продуктами для управления ценами, прогнозирования спроса и формирования коммерческих рекомендаций. Один из основных проектов — система рекомендаций регулярных цен на уровне SKU × магазин. Система анализирует исторические продажи, цены, промо, остатки, будущие поставки, характеристики товаров и магазинов, а также внешние данные, после чего: прогнозирует спрос при различных ценовых сценариях; оценивает ценовую эластичность рекомендует повышение, снижение или сохранение цены прогнозирует влияние решения на продажи, оборот, маржу и EBITDA рассчитывает уверенность модели и риск падения продаж позволяет сравнивать прогноз с фактическим эффектом после применения рекомендации Задачи Развивать модели прогнозирования спроса и ценовой эластичности Исследовать подходы к causal inference и оценки эффекта изменения цены Проектировать временную валидацию, backtesting и бизнес-метрики качества Работать с uncertainty, confidence, intermittent demand, cold start и long-tailSKU Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений Организовать оценку plan/fact и мониторинг качества моделей Участвовать в проектировании feature engineering, batch training и batchinference на больших объёмах данных Проводить design review, code review Требования Сильную базу в классическом ML, статистике и работе с табличнымиданными Опыт с forecasting, временными рядами и gradient boosting: LightGBM,CatBoost или XGBoost Понимание causal inference и экспериментального дизайна Опыт доведения ML-моделей до production Уверенное владение Python и SQL Понимание временной валидации, data leakage, calibration и uncertaintyestimation. Опыт работы с Airflow или аналогичным оркестратором Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений Умение связывать ML-метрики с измеримым бизнес-эффектом Будет плюсом Опыт в retail, e-commerce, pricing или demand forecasting Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse Опыт с price optimization, hierarchical forecasting или operations research Опыт построения ML-мониторинга и проведения A/B-тестов Текущий стек: Python, LightGBM, Airflow, dbt, Trino, Apache Iceberg, Parquet,S3, PostgreSQL, ClickHouse, Kubernetes и gRPC Условия Оформление в аккредитованную ИТ-компанию Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в Москве на ст. м. Савеловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге и Иннополисе Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Humanoid is looking for a Test and Validation Engineer to test validate and characterize robotic components and subsystems.

Humanoid is looking for a Prototype Engineer to assemble integrate test and troubleshoot humanoid robotic prototypes.

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. What you'll do - Build and optimize scalable interviewing processes and AI-native workflows that drive efficiency, consistency, and a world-class candidate and hiring manager experience. - Analyze data and develop dashboards to give real-time visibility into interviewer training, capacity, and calibration—enabling data-driven decisions across hiring teams. - Partner closely with recruiters and hiring teams to identify operational bottlenecks, implement process improvements, and champion best practices across the full recruiting lifecycle. - Own the configuration, management, and ongoing optimization of recruiting tools, including our ATS (Ashby) and other automation or AI-based solutions used for sourcing, scheduling, and candidate engagement. - Lead enablement efforts for interviewers by building documentation, training materials, and resources that promote adoption of tools, process changes, and reporting standards. What you'll bring - 5+ years of experience in recruiting operations, program management, or related roles, ideally within high-growth tech environments. - Deep expertise in building and scaling recruiting processes, reporting frameworks, and tooling infrastructure. - Hands-on experience managing and customizing an ATS (experience with Ashby is a plus). - A passion for process improvement and operational excellence—you thrive on turning complexity into clarity. - Excellent collaboration and communication skills, with a track record of partnering closely with recruiting teams, hiring managers, and cross-functional stakeholders. - Comfort working in a fast-paced, ambiguous environment and adapting quickly to changing priorities. Even better... - Familiarity with tools that leverage AI to support sourcing, scheduling, and recruiting workflows. - Background in enablement or instructional design to support training and documentation efforts for recruiting teams. 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.