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Responsibilities: — Animate characters based on scripts (with animator notes) and references — Posing and facial expressions — Lipsync to English voiceover Requirements: — Strong Blender skills and understanding of character animation principles — Sense of comedic timing — Portfolio with relevant work — English good enough to read scripts — Plus: experience animating Roblox characters Benefits: — Remote, long-term collaboration — Steady workload with new videos every day — Paid per delivered video — Budget and rate discussed individually after reviewing portfolio

About The Role The Safety Manager owns safety on the ground at Volta's Nordics project. Embedded in the project team, you will set the site's safety culture with the Project Delivery Manager and make sure everyone building it goes home well, every day.

Responsibilities: Designing, coding, and testing software applications. Collaborating with engineers and stakeholders to understand project requirements.

• Создавать тексты и баннеры для Email, Push, SMS и Inbox. • Локализовать контент с помощью AI на 5+ языков.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision. Your responsibilities will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Nice to have: - Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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

- Experience in electrical design. - Practical experience with E-SCADA system.

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

Location: Remote Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We’re looking for a Marketing Content Manager who can bring depth, clarity, and credibility to how Blockstream communicates with the world. This role is equal parts journalist and researcher — someone who’s not just publishing updates but shaping narratives, spotting trends, and ensuring everything we say reflects both thought leadership and technical accuracy. You’ll manage Blockstream’s content calendar, lead research-driven storytelling, and produce well-informed, engaging material across multiple channels — from long-form articles and reports to social commentary and product updates. What You’ll Be Doing (Responsibilities): - Research and analyze industry trends, technologies, and market developments across Bitcoin, fintech, and enterprise infrastructure. - Develop original insights, commentary, and “hot takes” that position Blockstream as a leading voice in the Bitcoin ecosystem. Plan, edit, and publish content across owned channels (blog, newsletter, social, and website). - Work with internal stakeholders — including engineering, product, and communications — to ensure all content is accurate, aligned, and well-positioned. - Consolidate and maintain a content library that serves as a single source of truth for public materials and messaging. - Uphold Blockstream’s editorial standards — thoughtful, credible, and grounded in technical and economic reality. - Support broader marketing initiatives, including product launches, announcements, and thought leadership campaigns. What We Look For in You (Required Qualifications): - 5+ years of experience in content creation, journalism, research, or communications — ideally in tech, fintech, or crypto. - Proven ability to translate complex technical concepts into accessible and engaging narratives. - Strong editorial judgment — able to balance speed, accuracy, and quality in publishing. - Experience managing an editorial calendar and coordinating with multiple teams. - Excellent writing, editing, and analytical skills with attention to detail and tone. - A strategic mindset — able to connect content decisions to brand, audience, and business goals. Nice To Haves (Preferred Qualifications): - Familiarity with Bitcoin, blockchain, or financial technology concepts. - Background in research, investigative journalism, or economic/technical writing. - Experience working with data or analytics tools to inform content decisions. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

• Sourcing Ring / security camera clips from TikTok, X, Reddit, YouTube, Instagram and Ring Neighbors. • Editing ~60-minute compilations that match the style of our existing videos exactly.

Sales Manager – Telecom Infrastructure Solutions for CIS countries. Focus on telecom power systems, passive infrastructure, energy storage, and remote monitoring.

Responsibilities include team management, infrastructure development, CI/CD maintenance, and tech presale.

— overseeing the work of teachers; — interviewing candidates;

• Sourcing Ring / security camera clips from TikTok, X, Reddit, YouTube, Instagram and Ring Neighbors. • Editing ~60-minute compilations that match the style of our existing videos exactly.

Job description: Implement and run AWS services (S3, Lambda, IAM, ECS, EC2, RDS, networking), containerize applications with Docker, automate deployments with Terraform, and build monitoring for production systems.

Job description: Build and evolve the customer-facing interfaces of an AI-powered vacation rental management platform: scalable UI components, design-system libraries, and frontend integrations with REST and WebSocket backends.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: We're looking for a Data Engineer to own the data that runs Higgsfield's enterprise business, from raw data to the numbers leadership makes decisions on. You'll own data end to end, from raw data collection through transformation, modeling and validation, to the reporting that Sales, RevOps, Finance and Product use to run the business. Revenue, contracts and commissions all run through this work, so accuracy matters. This is a hands-on role with real ownership. You'll report to our Data Engineering Lead, take on projects independently, and help make sure data is never the bottleneck as the business accelerates. We're an AI company, and we expect our data engineers to use AI to multiply what they can deliver. What you'll do: - Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation and reporting. - Integrate CRM, billing, contract and product usage data into a consistent, trusted view of our B2B customers. - Build the data models and dashboards behind revenue reporting, commissions, forecasting and customer insights. - Turn ambiguous business questions from Sales, RevOps and Finance into scoped projects, and drive them to completion. - Close data gaps across teams, whether that means partnering with backend engineering to capture new data or fixing a broken pipeline. - Build AI-powered workflows (agents, reusable skills, automations) that work with our infrastructure and scale your impact. - Validate every number before it ships, with automated checks, monitoring and documentation that keep our data audit-ready. - Build executive-facing reports and dashboards (CEO / VP level) that are easy to read and highlight what needs action Requirements: - 4+ years in data engineering, analytics engineering or a related role, including building and maintaining complex production pipelines. - Hands-on experience building with AI, not just using it: for example, creating custom agents, skills or automations with tools like Claude, ChatGPT, Gemini or Cursor. You know where these tools help and where they fall short. - Strong SQL and Python, plus experience with modern data warehouses and transformation/orchestration tools (e.g., Snowflake or BigQuery, dbt, Airflow or Dagster). - Experience integrating data from business systems such as Salesforce, HubSpot or Stripe. - Structured thinking: you break ambiguous problems into clear steps and solve them methodically. - A proactive, self-directed approach. You learn fast, take ownership without waiting for instructions, and push work over the finish line. - Clear communication, including explaining technical work and its tradeoffs to nontechnical stakeholders. Nice to Haves: - Experience partnering with Finance on data that demands high precision (revenue, billing, commissions). - Early or growth-stage startup experience. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

About the Role • At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email attacks.