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eClinical Solutions helps life sciences organizations accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud, which provides centralized data access and advanced analytics for smarter business decisions. eClinical Solutions is focused on innovation in clinical trials through improved data management and analytics, using their elluminate technology platform to speed up timelines and automate manual processes. The role involves contributing to this agile data management approach, enabling clients to proactively manage clinical programs and make informed decisions.
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Design and clearly communicate solutions, demonstrating that you have a clear grasp of business value as well as technical challenges. Partner with Sales Directors, Account Managers, and Strategic Account Managers to drive the technical win and align with technical buyer during the sales cycle.
110 000 – 135 000 $
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This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it.
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-Build, maintain and test core components on our Cosmos-SDK protocol including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment. -Develop and optimize core components of the Injective blockchain (consensus, state management, financial infrastructure and applications).
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About the Role Rain is hiring a Senior Product Manager to own cards — one of the most strategically important surfaces at the company. Cards are how stablecoins meet real-world spend, and this role will shape the product, platform, and growth decisions that define that experience for our partners and their end users.
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Key Responsibilities Content strategy and ideation Identify content angles that differentiate Lineup and FatTail in a crowded, relationship-driven market, grounded in competitive intelligence, customer research, and product knowledge. Qualifications 5+ years experience Strong storytelling instincts.
90 000 – 115 000 $
What you will do AML / CFT / Sanction compliance: Ensure effective AML/CTF/Sanction compliance throughout the business; act as Financial Interleague Unit reporting agent and correspondent for the Polish branch;
13 500 – 24 750 $
We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics.
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Director, National Field Medical Affairs and will be responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. Who you are Deep expertise in hematopoietic stem cell transplantation (HSCT) and cellular therapy.
55 000 – 90 000 $
This role is responsible for translating Compass’s medical strategy into effective field activities, overseeing MSL operations across a defined region, and ensuring consistent, high-quality scientific exchange with external stakeholders.
55 000 – 90 000 $
Things You’ll Be Doing: Cold Calling.
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SmartCore — финтех-холдинг, создающий инфраструктуру для следующего поколения платежей. Наши решения охватывают весь цикл финансовых операций: от core banking и процессинга до карт, кошельков и систем антифрода. Технический ландшафт: — AWS: VPC, IAM, EKS, ECS/Fargate, ALB, ECR, RDS, ElastiCache, MSK, S3, Route53, ACM, Secrets Manager, KMS. — Kubernetes: EKS, Deployments, Services, Ingress, IRSA, Helm, Kustomize, ArgoCD, Karpenter, External Secrets. — IaC & CI/CD: Terraform, Terragrunt, GitHub Actions, Docker, AWS CodeBuild / CodePipeline, ECR. — Observability: Prometheus, Grafana, OpenTelemetry / ADOT, CloudWatch, алерты. — Данные и очереди: PostgreSQL (RDS/Aurora), Redis, Kafka / MSK, MongoDB, ClickHouse. — Cloudflare: DNS, CDN, WAF, SSL / TLS, проксирование трафика. — Безопасность и База: IAM / IRSA, секреты не в Git, TLS, PCI / ISO, Linux, bash, git, сеть (DNS, балансировка, security groups). Задачи: — Поддерживать инфраструктуру в AWS: сеть, compute, базы, очереди, секреты. — Добавлять новые сервисы, окружения и компоненты в Kubernetes и ECS. — Держать IaC (Terraform / Terragrunt) и GitOps (ArgoCD) в актуальном состоянии. — Настраивать и чинить CI/CD: сборка образов, деплой, пайплайны. — Следить за мониторингом, логами и алертами (Grafana, Prometheus, CloudWatch). — Участвовать в on-call: разбирать инциденты и помогать разработке с деплоями и окружениями. — Поддерживать Cloudflare (DNS, CDN, WAF, сертификаты), ClickHouse и остальной data-слой (PostgreSQL, Redis, Kafka, MongoDB). — Следить за безопасностью: доступы, секреты, сеть, требования PCI / ISO. Требования: — Опыт: 4+ года работы с AWS в проде (VPC, IAM, EKS, ECS, RDS, балансировка, секреты). — Экспертиза: EKS и Kubernetes на практике (деплой, отладка, Ingress, IRSA). — Инструменты: Terraform (модули, state), Terragrunt, Helm + GitOps (ArgoCD), Docker и CI/CD (GitHub Actions / CodeBuild). — Технологии: Опыт работы с ECS Fargate, Kafka / MSK, ClickHouse, Cloudflare, Grafana + Prometheus / AMP, CloudWatch, External Secrets, Karpenter. — Специфика: Опыт в финтехе или знание стандарта PCI. — Траблшутинг: Отладка прода (под не стартует, нет трафика, нет метрик), готовность к on-call. — Языки: Русский + английский (чтение документации, AWS).
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What You'll Own. Owning a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery.
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Anthropic Fellows Program overview: The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews. What to expect: — 4 months of full-time research — Direct mentorship from Anthropic researchers — Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country — Funding for compute (~$15k/month) and other research expenses Interview process: Includes initial application and reference check, assessments and interviews, and a research discussion. Compensation: Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension. The Anthropic Institute Fellows (Economics & Policy): Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker). Projects may include: — Designing and conducting empirical research on AI's economic effects using external data sources — Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society — Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale — Measuring model performance increases with custom harnesses — Identifying market-driven mechanisms to improve societal resilience to AI threats — Identifying AI R&D metrics as early warning signals for recursive self-improvement Candidate criteria: — Interest in economics or policy research; prior experience is a plus but not required — Adaptable and collaborative, able to take direction and contribute to team priorities — Skilled at writing and communicating results, including null or unexpected findings — Passionate about translating research insights into actionable recommendations for AI systems and policy Good fit if: — Motivated to ensure AI is safe and beneficial for society — Interested in transitioning into AI research and possibly a full-time role at Anthropic — Strong track record of empirical research — Thrives in fast-paced, collaborative environments — Can implement ideas quickly and communicate clearly Requirements: — Fluent in Python programming — Available full-time for the Fellows program Logistics: — Must have work authorization and be located in the US, UK, or Canada during the program — Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada — No visa sponsorship available; candidates must have or obtain full-time work authorization independently — Program duration is 4 months full-time; partial commitments considered case-by-case Additional notes: — The program encourages applications from underrepresented groups and those who may doubt their qualifications. — Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. — Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.
Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.
Company Overview: Legion Technologies is a pioneer in AI-powered workforce management, offering a SaaS platform that helps large enterprises optimize labor efficiency and improve hourly employee experience through AI-driven demand forecasting, automated scheduling, time & attendance, and employee engagement tools. The mission is to transform hourly jobs into good jobs by providing intelligent automation and greater employee flexibility via a mobile app. Role Summary: The General Counsel (GC) is the chief legal officer and a key executive team member responsible for leading global legal, intellectual property, and corporate functions. The GC partners strategically with the CEO, executive team, and Board, building a high-performing legal organization to support growth, globalization, and product innovation. The GC oversees legal strategy across commercial/SaaS, privacy, AI governance, labor, corporate governance, IP, compliance, and risk management. Key Responsibilities: 1. Legal Strategy & Leadership: — Develop and execute legal strategy aligned with business objectives. — Advise CEO, executives, and Board on legal, regulatory, governance, risk, compliance, fundraising, and transactions. — Build and lead in-house legal team; manage external counsel. — Establish scalable legal processes and playbooks. 2. Corporate Governance & Financing: — Serve as corporate secretary; manage Board and committee governance. — Oversee corporate structure, subsidiaries, and compliance. — Support equity and debt financings, investor negotiations, and governance. — Partner with Finance and People teams on equity plans and disclosures. 3. Commercial, Product & Partnership Counsel: — Provide legal support for commercial operations including SaaS subscriptions, services, partner agreements, and data processing terms. — Collaborate with Sales, Customer Success, Partnerships to manage deal cycles and risk. — Partner with Product, Engineering, Security to ensure compliance of AI-enabled platform and integrations. — Counsel on product features, AI use cases, mobile app, and international expansion. 4. Privacy, Data Protection & Terms of Use: — Own global privacy and data protection program, ensuring compliance with US and international laws. — Oversee Terms of Service, privacy policies, and product policies. — Support security reviews, audits, incident response. — Develop policies and training on data governance and ethical AI use. 5. Labor, Employment & Workforce Compliance: — Advise on employment matters including hiring, terminations, performance, compensation. — Support People team on labor law-compliant policies. — Guide product features supporting labor and scheduling law compliance. 6. Intellectual Property & Innovation: — Develop and implement global IP strategy covering patents, trademarks, copyrights, trade secrets, open-source. — Partner with Product and Engineering to protect AI and workforce management innovations. — Manage IP enforcement and defense. 7. Regulatory, Compliance & Risk Management: — Monitor legal developments in AI, data privacy, employment, software. — Design risk and compliance frameworks. — Support investigations, ethics initiatives. — Coordinate insurance coverage and claims. 8. Strategic Transactions & Corporate Development: — Lead legal aspects of M&A, investments, partnerships. — Provide guidance on competition, antitrust, regulatory issues. Qualifications: — J.D. degree and membership in good standing with a US state bar. — 15+ years combined experience in top-tier law firms and in-house roles, including senior GC roles at high-growth tech or SaaS companies. — Deep expertise in enterprise SaaS contracting, corporate governance, data privacy, IP strategy. — Proven leadership in building legal teams supporting growth and international expansion. — Business-minded advisor balancing risk and commercial objectives. Preferred: — Experience in HR tech, workforce management, fintech, or data-intensive SaaS. — Leadership in AI/ML product legal and ethical issues. — Experience with global customers across North America, EMEA, APAC. — Experience with large enterprise and strategic partners like SAP. Skills & Attributes: — Exceptional judgment, integrity, discretion. — Strong communication translating legal issues for non-legal stakeholders. — Collaborative, low-ego leadership. — Practical, fast-paced, high-growth environment comfort. — Passion for improving hourly work. Additional Information: — Full-time, exempt position. — Some travel required. — Competitive compensation including salary, equity, benefits. Compensation & Benefits: — Base salary $250,000 - $300,000 plus bonus and stock equity. — Benefits include flexible medical, dental, vision plans, 401k, paid time off, parental leave, wellness reimbursement, monthly lunch. Equal Employment Opportunity: — Legion is an equal opportunity employer committed to diversity and inclusion. Contact for disability accommodation: recruiting@legion.co
About the role Rove Next is a new premium line from Rove Concepts, a Vancouver-based modern furniture brand selling direct to consumer across Canada and the US. Rove Next launches with improved versions of best-selling pieces and needs its own marketing built from the ground up. The role involves owning how Rove Next reaches and retains customers, focusing on email and lifecycle marketing. The goal is to scale marketing through AI and systems rather than headcount, building a clean function rather than inheriting one. This is not a coordination role but requires problem-solving and proactive management. Scope Initially focused on Rove Next, with potential to expand across the Rove Concepts group as the brand grows. What you'll own — Email and lifecycle as the primary owned channel, including campaign calendar, flows, segmentation, deliverability, and list health, using Klaviyo. — Quality control on all outgoing materials: copy, creative, link destinations, offers, regional versions, ensuring errors are caught before shipping. — Building AI into daily work, shipping AI solutions rather than just proposing them. — Collaborating with lifecycle and email team, designers, and external ads partner to maintain the campaign calendar. — Translating marketing results into clear business language, explaining spend, revenue, and recommendations. Must-haves — Five or more years in ecommerce or DTC marketing with real ownership of email and lifecycle marketing, experience with Klaviyo or comparable ESP. — Demonstrated ability to build AI workflows independently and solve problems proactively. — Fluent, native-level English, both written and spoken, capable of writing premium-sounding copy. — Strong attention to detail, able to assess assets for alignment with promises, tone, and offer accuracy. — Comfortable receiving and giving feedback about campaign effectiveness. Nice to have — Experience in furniture, home, or other considered-purchase categories with long buying cycles. — Familiarity with Shopify, GA4, and Meta Ads. — Experience enforcing brand guidelines within a team. What success looks like — Growth of flow revenue as a share of total email revenue. — Reduction of errors reaching leadership. — AI integrated and producing measurable results within 90 days. Compensation $3,500 to $4,500 USD per month depending on experience, independent contractor. How to apply Send CV to talent@rovenext.com with two examples: one AI workflow or automation built and its impact, and one instance of catching an error before shipping. Include a short voice note introducing yourself and what you'd want to know before writing your first email. Shortlisted candidates will complete a short paid project.
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250 000 – 300 000 $
3 500 – 4 500 $