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Location: London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver production solutions, and ensure smooth transitions from pre-sales to post-sales. The Applied AI for Defense team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions operating in highly regulated and strategic environments, including on-premise, disconnected, and air-gapped deployments. In this role, you will drive adoption inside sovereign institutions and critical infrastructure across the UK, partnering with senior leaders and mission owners under real operational, security, and compliance constraints to deliver projects with significant societal, operational, and strategic impact.   WHAT YOU WILL DO   STRATEGIC DISCOVERY & VISION SETTING - Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments. - Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter. - Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives. AI SOLUTION DESIGN & DEPLOYMENT - Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped). - Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact. - Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. VALUE REALIZATION & CUSTOMER SUCCESS - Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. - Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. - Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. CROSS-FUNCTIONAL COLLABORATION - Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps. - Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings. - Travel (~30-60%) to foster deep client relationships and support on-site deployment.   WHAT WE'RE LOOKING FOR - 2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales). - A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering). - Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. - Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value. - Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions. - Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners). - Resilient, results-driven, and comfortable leading through influence in a collaborative environment. - Comfort operating under security, compliance, and confidentiality constraints. NICE TO HAVE - Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling. - Experience deploying AI in regulated or sovereign environments (defence, public sector, critical infrastructure).   SECURITY & COMPLIANCE (VERTICAL-SPECIFIC): - Eligibility: must be a UK national - Clearable: must meet all requirements for UK national security vetting (e.g. Security Check (SC) and/or Developed Vetting (DV)), including no relevant criminal record and the ability to satisfy residency and background checks.   WHY THIS ROLE MATTERS   You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. About the Role Lineup and FatTail are the leading Order Management Systems (OMS) for media companies, and this role will own product vision and strategy across both. It's a high-touch, customer-facing product leadership role: you'll build close, lasting relationships with the customers and prospects who rely on our platforms, and turn what you learn from those relationships into a roadmap that drives real growth. We're looking for a VP of Product with a genuine commercial mindset — someone who is energized by being in front of customers and prospects, not just building for them at a distance. You will be the primary product voice representing our vision and roadmap to the market: presenting directly to prospects and clients, building trust with the people who buy and use our products, and channeling what you hear back into product decisions that grow the business. You will also lead and grow a team of product managers, building the strength and depth of the product organization as it scales. You'll have a key voice in shaping the direction of Chartbeat's broader, unified platform vision — helping define how we integrate Chartbeat and Tubular's content and audience analytics with Lineup and FatTail's order management systems to deliver innovative solutions that help media companies grow their business. Key Responsibilities 10+ years in product management, including 5+ years in a senior product leadership role (VP, SVP, or equivalent) in B2B SaaS focused on the Media or Ad Tech industry. Direct Ad Tech experience is required, ideally with an OMS or adjacent systems (e.g., Google Ad Manager, ad servers, DMPs/CDPs, or similar sell-side ad tech). A track record of delivering innovative, differentiated products, including AI-driven features or workflows — you know how to identify where AI creates real customer value versus where it's a distraction. A track record of commercial involvement, including presenting roadmap and vision directly to prospects and customers, and being trusted as a credible voice in high-stakes customer conversations. Experience in enterprise or upper-mid-market B2B settings, ideally within media, publishing, or adjacent verticals, where building close customer relationships is central to the business. People leadership experience, having built, managed, and grown teams of product managers. Day-to-Day Responsibilities Strategy & Roadmap Ownership Define and evolve a long-term OMS strategy and roadmap establishing a clear vision across our two OMS products that strengthens competitive differentiation, drives customer growth and retention, and deepens platform adoption. Prioritize ruthlessly across customer commitments, competitive differentiation, and platform/data unification to ensure we’re making the right investments to move the business forward. Collaborate with product leaders across the business to define and deliver a unified platform vision that strengthens all four brands together. Customer & Market Engagement Serve as a primary product voice with prospects and clients — presenting vision and roadmap directly, and building close, lasting relationships with the people who buy and use our products. Partner with Sales and Customer Success to improve win rates, adoption, and renewals — bringing product perspective into customer conversations and helping remove product-related obstacles Grow a strong network across media and publishing that expands our credibility and reach in the industry. Turn customer and market insight into clear, credible product decisions, balancing near-term needs with long-term platform investment. Team Leadership & Talent Development Lead and grow a team of product managers and leaders, setting a high bar for product craft, commercial fluency, and customer engagement. Partner with the executive leadership on org design, hiring, and development plans to strengthen the product team as it grows. Coach PMs into strong functional leaders who own outcomes across product strategy, roadmap creation and execution, client-facing communication, vision storytelling, and commercial support. Cross-Functional & Platform Collaboration Work closely with engineering, design, marketing, and commercial teams to translate strategy into delivered and adopted products. Champion platform thinking that unlocks cross-sell and deepens customer value across Chartbeat, Tubular, Lineup, and FatTail. Represent OMS product strategy to the executive team and, where relevant, the Board — shaping investment decisions with clear business impact. Compensation & Benefits Salary range: $225,000-$275,000 Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For Technical Advisor to join our Global Customer Support Division. In this role, you will support enterprise customers in the successful operation, optimization, and strategic use of the Creatio platform with a focus on the MEA/America/Europe region. You will act as the primary technical point of contact, developing a deep understanding of each customer’s architecture, business objectives, and system configuration. Combining strong troubleshooting expertise with a proactive, advisory approach, you will provide guidance, preventive monitoring, and technical consultations to ensure platform stability, maximize value, and support long-term customer success. Responsibilities Technical Account Ownership: Be the dedicated technical contact for assigned enterprise accounts. Ensure full visibility and ownership over all technical matters, escalations, and platform usage challenges. Escalation Case Management: Collaborate closely with Support, Product, and RCD teams to resolve and manage critical incidents, coordinate escalations, and ensure SLA compliance for technical cases. Proactive Monitoring and Risk Prevention: Continuously monitor system performance and health. Identify potential risks, inefficiencies, and bottlenecks, providing actionable recommendations to mitigate them before they impact the customer. Platform Enablement Consulting: Guide customers on platform best practices, new feature enablement, system architecture, and performance optimization. Deliver tailored recommendations that align with their business roadmap. Strategic Engagement Advocacy: Participate in QBRs and strategic reviews. Provide feedback to internal teams based on customer needs. Influence roadmap decisions through structured customer insights. Requirements 4+ years of experience in enterprise technical support, professional services, or TAM/TA roles (preferably in B2B SaaS). Experience with the Creatio platform or similar low-code/no-code solutions, as well as CRM systems or SaaS platforms, is considered a plus. Hands-on experience with APIs, integrations, SQL (as a language), cloud infrastructure (IIS server, Redis server, SQL server), and performance tuning (monitoring tools e.g. Grafana, Zabbix). Experience in managing technical relationships with enterprise customers. Ability to lead technical workshops, explain complex ideas clearly, and influence outcomes. Advanced English. Proactive, customer-first mindset with strong ownership culture. Professional competencies Platform architecture configuration: Strong understanding of platform architecture, system capabilities, deployment models (cloud/on-prem), and integrations within CRM or enterprise SaaS environments. Technical troubleshooting diagnostic skills: Strong analytical mindset for investigating system issues, performance degradation, and cross-component dependencies. Preventive support mindset: Ability to proactively detect trends and prevent escalations using monitoring tools, AI alerts, and system logs. Communication stakeholder engagement: Capable of translating complex technical topics for non-technical stakeholders. Skilled in managing executive relationships. Collaboration cross-functional influence: Experienced in working alongside support, customer success, and product teams to ensure seamless delivery of services. Process and automation orientation: Familiarity with DevOps, CI/CD pipelines, and self-service enablement practices to improve scalability and efficiency. What you should expect from us Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote, Bay Area, CA ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. More than 10 million developers build on it, from solo founders shipping over a weekend to teams and builders via Vercel, Lovable and Stripe, and every one of them reaches Supabase through a surface: an API, an auth flow, an SDK, or a Partner's product with Supabase integrated. The current and next wave of software leans on those surfaces harder than any before it. Agents now act on behalf of developers and end users, authentication has to work machine-to-machine as seamlessly as it once worked human-to-human, and independent platforms increasingly need to authenticate, delegate, and coordinate with each other without a person in the loop. For a platform built on Postgres with Auth, Compute, Storage and generated Data APIs at its core, the surfaces where Supabase meets Partners and their systems are some of the most important avenues that we own - this role owns these surfaces. This role owns a focused portfolio of those Partners. Not the platform as a whole, but a small number of strategic Partners whose integrations you are accountable for making excellent. Success here is a product measure, not a commercial one: the integration is high quality, the developers who use it are well served, and it keeps improving. That means living close to those developers, obsessing over where the integration fails them, and turning what you learn into the roadmap. It is a product and engineering job first, because the best integrations are won in architecture reviews and pull requests, not in meetings. WHAT YOU'LL BE RESPONSIBLE FOR - Owning the success of a focused portfolio of strategic Partners, a small number of them rather than the platform as a whole. You are accountable for the outcome of each partnership: a high-quality integration that the developers who use it reach for, and that keeps getting better. - Living close to the developers who use these integrations. Talking to them constantly, finding where each integration breaks down in real use, and building the roadmap from that signal rather than from a Partner's wishlist. - Deciding the right integration model for each Partner: what Supabase owns, what the Partner owns, what you build jointly, and what stays open and Partner-agnostic, reading whether the two roadmaps run together or diverge and choosing accordingly. - Working hands-on with each Partner's product and engineering counterparts to ship. Holding your own in an architecture review and a code-level design discussion, and turning strategy into shipped, high-quality integrations rather than long conversations. - Setting the quality bar for what a great integration looks like, and building the mechanisms (documentation, tooling, guardrails, versioning) that hold every Partner to it as adoption scales. - Defining what success looks like for each integration and measure it honestly: adoption by the developers who use it, integration quality, and reliability in real use. Using those signals to decide how deep to go with each Partner and where to push the integration next. YOU MIGHT BE A GOOD FIT IF YOU: - Have 7+ years of product management on developer tools, or are an ex-founder with strong product instincts, and are technical enough to read an architecture doc, follow a design discussion, and ask the right questions. - Are based in the San Francisco Bay Area or can travel there regularly. - Have shipped integration or platform surfaces that other companies' systems build against, owning APIs, auth or identity flows, or developer-facing platform surfaces end to end, and can reason at the product level about how two independent systems should authenticate and exchange data: where to be open, where to be strict, and where trust lies in these integrations. Familiarity with more recent primitives like workers/agent sandboxes and developer-tooling products, or with machine-to-machine authentication, is a bonus. - Are biased toward speed, and would rather ship something imperfect (but secure) while learning than spend another month polishing a spec. - Build with what you own, using the surfaces on your roadmap the way a Partner would: standing up an auth flow, calling the Data API, deploying a database, wiring Supabase into another product. You form opinions through first-hand use. - Comfortable using AI tools to compress the slower parts of the role, like research, drafting, and synthesising feedback, so you spend more time on judgment calls. - Work async by default. Supabase is fully remote, so you make decisions in writing and move work forward without meetings. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Paris, France WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You will lead Notion’s GTM strategy and growth for France, one of EMEA’s largest and highest-priority markets. France is a Tier 1 region in Notion’s country-first EMEA model, with significant room to scale into a standalone, high-growth business. Notion is shifting from a traditional sales model toward a builder-led model with fewer handoffs, stronger technical fluency, and more direct ownership of customer outcomes. As General Manager, France, you will be the second-line leader responsible for overall revenue outcomes, regional GTM strategy, and the operating model for the French business. You will lead through frontline managers, teams of Business Development Representatives, Solutions Consultants and Outcomes Architects as well as partner cross functionally with Professional Services, Channel Partnerships and RevOps. This is a hands-on builder-leader role for an AI-native, country-first GTM model. You will bring Notion’s new GTM model to life in France: moving from a segment-first motion to a country-first, AI-native operating system where teams help customers diagnose problems, design agentic workflows, and build real systems with Notion AI. This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own the GTM strategy, operating rhythm, and growth plan for France, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution. - Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions. - Scale a country-first GTM motion that brings Notion closer to French customers through local executive engagement, market nuance, and faster field-level decision-making. - Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion. - Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across France. - Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions. - Make agentic transformation central to the French GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption. - Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, Marketing and Channel to reduce handoffs and deliver faster, more durable customer value. - Build “sell with” partner motions in France, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning. - Establish Notion as a visible force in the French ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy. - Represent the voice of French customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics. - Create a talent destination in France by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent. - Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution. WHO WE'RE LOOKING FOR: A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in France and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent. You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow. You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows. SKILLS YOU'LL NEED TO BRING: - 12+ years of professional experience, including 5+ years leading SaaS or AI sales & GTM teams in France. - Deep knowledge of the French enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics across all market segments (commercial, midmarket and enterprise) - Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams. - Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics. - Agency & Urgency: experience building or scaling a regional/country business in a high-growth or ambiguous environment. - Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products. - Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes. - Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process. - Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative. - Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product. - Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building. - Fluency in French and English. NICE TO HAVES: - Experience launching or scaling a country-first or regional GTM operating model. - Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes. - Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €350,000 - €408,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro 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 small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production 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 — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. 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 A2A: you can explain agent-to-agent interoperability 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 Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. 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: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; 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 small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production 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 — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. 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 A2A: you can explain agent-to-agent interoperability 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 Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. 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: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; 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 small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production 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 — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа 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 Principal Architects and Forward Deployed Engineers 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: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia 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 small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production 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 — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа 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 Principal Architects and Forward Deployed Engineers 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: Russia Workplace: remote We are looking for a highly motivated and strategic Customer Success Manager to join our team. In this role, you will manage a portfolio of high-value clients, ensuring their satisfaction, growth, and long-term retention. Acting as a trusted advisor, you’ll be the key point of contact between our customers and internal teams, driving product adoption, identifying new business opportunities, and ensuring seamless execution of customer needs. Key Responsibilities Build and nurture strategic relationships with a portfolio of major clients to ensure satisfaction, retention, and growth. Understand customer goals and business needs through in-depth discovery and regular communication, ensuring our solutions align with their objectives. Propose new products, features, and solutions to drive customer value and support their ongoing success. Act as the voice of the customer internally , liaising with product, sales, and support teams to ensure timely and accurate delivery of customer requests. Own the execution of customer deliverables , ensuring internal stakeholders are aligned and accountable. Resolve issues and manage escalations with professionalism, protecting the integrity of the relationship. Conduct regular Business Reviews to assess customer health, review progress toward objectives, and gather actionable feedback. Identify and support upsell and expansion opportunities , contributing to revenue growth through long-term relationship development. Track and analyze customer success metrics to generate actionable insights and report on customer performance at a senior level. Qualifications Proven 1-2 years of experience in Customer Success, Account Management, or related client-facing roles Strong ability to build relationships and influence stakeholders at all levels, both externally and internally. Excellent communication, presentation, and problem-solving skills. English speaking skills – Proficiency / Advanced; must be able to communicate clearly and professionally with global clients and internal teams. Comfortable working cross-functionally with product, engineering, and sales teams. Data-driven mindset with experience in analyzing metrics and translating them into business outcomes. Proactive, detail-oriented, and highly organized with a strong sense of ownership and accountability. Experience in industry, e.g., gaming, SaaS, fintech is a plus. Why Join Us Opportunity to work with top-tier clients and make a measurable impact. A dynamic, collaborative team culture that values innovation and initiative. Continuous learning and growth opportunities within a global organization. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment

Location: New Delhi Workplace: Remote Global Services is the centre of expertise at Chainalysis — the team that translates our platform, data, and investigative capabilities into real-world impact for customers across law enforcement, national security, financial institutions, and the broader crypto ecosystem. Chainalysis is seeking a Deployment Strategist to join Global Services as a core technical practitioner. This is not a traditional services or solutions engineering role. Deployment Strategists are embedded technical experts who own the full lifecycle of customer value — from problem discovery and investigation through solution design, deployment, and customer enablement. The role sits at the intersection of blockchain investigation, data analytics, domain expertise, and customer partnership. You will work directly with customers to understand their mission, conduct investigations, build tailored solutions, and enable customer teams to operationalise Chainalysis independently. Success requires deep investigative capability, genuine domain expertise, technical skill, and the ability to build trusted relationships through credibility — not just communication. This is the role that makes Chainalysis essential to how our customers operate. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Conduct blockchain investigations across the Chainalysis platform, applying tracing, OSINT, and analytical techniques to real customer problems - Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure - Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic deals — helping customers understand what's possible and how to get there - Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence - Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider GS team We’re looking for candidates who have: - Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment - Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows - Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments - Worked directly with customers in law enforcement, national security, intelligence, compliance, financial crime, or security-focused domains - Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment - Excellent English and Hindi Required Technical Skills: - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Domain Expertise - Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk - Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them - Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory Nice to have experience: - Direct experience with Chainalysis products - Background in law enforcement, intelligence, or military investigations - Experience providing expert evidence or supporting legal proceedings - Familiarity with compliance frameworks (BSA/AML, sanctions screening, MiCA, Travel Rule) - Experience with data engineering tools and platforms (e.g., Databricks, Snowflake, cloud-based analytics) - Published research, intelligence products, or thought leadership in blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Philippines; India; Mexico City, Mexico; Mexico; Cairo, Egypt; Brazil; Malaysia; Indonesia Workplace: remote About the Role  We are looking for a detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team. You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators. This role is critical to maintaining the accuracy and reliability of training data used for robotics AI models.  What You'll Do      - Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal).      - Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details.      - Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments.      - Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over."      - Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).      - Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes.      - Provide specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples.      - Participate in periodic calibration sessions with the team and client to align QC standards with evolving guidelines or edge-case resolutions.      - Maintain a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project).    What We're Looking For  Required:      - Excellent written English and strong reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos.      - Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).      - Strong grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy.      - Ability to apply a detailed, structured style guide consistently and make sound judgment calls in ambiguous or edge-case scenarios.      - Comfort giving clear, specific, and constructive feedback to annotators (written feedback, not just pass/fail marks).      - Reliable, self-directed work habits, with the ability to work independently while meeting review turnaround expectations.  Nice to Have:      - Prior experience in a QC, editing, proofreading, or annotation review role.      - Experience with video annotation, data labeling, or transcription QA specifically.      - Familiarity with robotics terminology (grippers, end-effectors, manipulation).      - Experience with annotation tools such as Label Studio, including review/approval workflows.  #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Ukraine; Armenia; Georgia; Jordan; North Macedonia; Poland Company: Crystalia Glass Contract: B2B Format: Remote Market: US Working hours: at least 6 hours of daily overlap with US Eastern time (8:30 AM-5:00 PM ET) Media budget: $200K+/month ($2.4M+ per year) Crystalia Glass is a US manufacturer and installer of premium architectural glass systems for residential and commercial interiors, including glass partitions, sliding glass walls, and steel- and aluminum-framed systems. We are looking for a Marketing Team Lead who will turn the CMO's strategy into execution, lead our distributed marketing team day to day, and own the performance of our paid channels. This is a hands-on leadership role for someone who brings solutions, not questions. WHAT YOU'LL DO • Build quarterly plans, set team priorities, and deliver on agreed targets independently • Lead the marketing team day to day: task allocation, 1:1s, feedback, performance management • Own the performance of Paid Search and Paid Social: optimize campaigns and reallocate budget between channels within agreed limits • Lead AI adoption across the team: design and launch AI workflows for content, creative, lead qualification, and reporting, with measurable impact • Review and approve briefs, creatives, content, and landing pages before launch • Run funnel analytics and weekly reporting (GA4, GTM, HubSpot, dashboards, attribution) • Manage SEO, content, and CRM initiatives through the specialists who own them • Manage agencies and contractors based on outcomes; recommend replacements when needed • Work with Sales leadership as a peer: analyze lost deals, objections, CRM notes, and call recordings, and turn findings into changes in messaging, targeting, and content • Execute partnership and PR programs with architects, interior designers, and trade professionals • Build documented processes, briefs, and quality standards • Act as the CMO's deputy when needed REQUIREMENTS • 3-5+ years in marketing, including 1-2 years of team leadership • Direct experience managing about 4+ marketing specialists or contractors, including hiring, feedback, performance management, and tough personnel decisions • US-market marketing experience: demand generation and brand presence, with accountability for results • Hands-on AI implementation in marketing operations with measurable results • Experience managing paid media budgets and reallocating them between channels • Strong analytics: GA4, Google Tag Manager, HubSpot (pipelines, workflows, lead scoring, attribution reports), Google Ads, Meta Ads Manager, Search Console, Ahrefs or Semrush • Experience with agent and automation platforms (n8n, Make, Zapier AI, HubSpot Breeze, Claude or OpenAI APIs), AI image and video tools, landing page optimization and A/B testing, Figma or Canva for design review, and call recording tools (Gong or similar) • English C1 with strong written English STRONG ADVANTAGES • Premium or luxury market experience; interior design, architecture, high-end residential construction, furniture, or similar • Marketing through architects, designers, contractors, or other specifier channels • Showroom, trade-show, or physical retail marketing • New product launches in an established market • PR and media relations in design, architecture, or lifestyle • Experience with AI agents and prompt engineering WHO THRIVES HERE Analytical and data-driven, with strong ownership and independence. Accountable for outcomes, comfortable in a lean and fast-changing organization, and able to balance brand building with measurable revenue.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Consultant Relations VP, you’ll be embedded in the Strategic Alliances team and report directly to the Vice President of Consultant Relations. As VP of Consultant Relations, you’ll own Garner’s most strategic relationships with the largest national broker and consulting firms and set how Garner shows up with advisors. You’ll be a known, trusted name to practice leaders across the industry, define the business-development plan for a national portfolio, and be accountable for turning those relationships into closed distribution at scale. It’s a role for someone with an existing rolodex who is seen as an educator and thought partner in the space. What you will do Own Garner’s relationships with the largest, most complex national broker and consulting firms, becoming the trusted, go-to name for practice leaders and SMEs and setting how Garner shows up with top distributors. Define and drive the business-development plan for a national portfolio, consistently converting consultant relationships into closed distribution and firm-level data-licensing deals. Orchestrate cross-functional resources at scale — Sales, Product, Marketing, Client Success, Operations — behind the biggest partnerships, and channel consultant insight into Garner’s go-to-market strategy. Design the data-driven approach for the whole portfolio — contracting targets, timing, and closure rates — and use it to steer where the team invests. Bring deep, current expertise across the major firms and the broader benefits ecosystem, reframing Garner’s value to each firm’s priorities as a credible educator and thought partner in the market. What we're looking for 8+ years in employee-benefits consulting / broker or channel-alliances roles with national-firm scope, and an existing senior rolodex across the major firms — you build and own trusted relationships end-to-end and set how Garner shows up with top distributors. You operate with data rigor at portfolio scale: you design the goals, metrics, and tooling that track contracting targets, timing, and closure rates and steer where to invest. You know the benefits-consulting and broker landscape cold — deep, current expertise across the major firms and the broader ecosystem — and are seen as an educator and thought partner to sophisticated buyers. You orchestrate cross-functional resources at scale (Sales, Product, Marketing, Client Success, Ops) behind the biggest partnerships and channel partner insight into go-to-market strategy. You drive national business development — targeting the right firms, generating and advancing pipeline across the portfolio, and closing distribution with little hand-holding, accountable for the number. You influence at the executive level, synthesizing a market point of view and securing buy-in from senior external and internal leaders for cross-functional bets. You bring hunger and a roll-up-your-sleeves bias at scale in a fast-moving environment, operating with accountability and authentic feedback. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The total salary range for this position (inclusive of base and bonus) is $350,000 - $430,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

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 Anthropic is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale. You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes. Key responsibilities Design and build a scalable onboarding and ongoing development program for sales leadership Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting Define and measure leading indicators of manager and team effectiveness Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement Minimum qualifications Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives Preferred qualifications 8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on Prior frontline sales management experience Experience at an AI company or high-growth technology organization that has scaled a sales leadership team Experience using or building applications on top of Claude or similar AI tools to automate and personalize training 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: $310,000 — $360,000 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. 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: Remote Roles - EMEA 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 Opportunity The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. In this role, you will own OKX's Global Customer Complaints Program and report directly to the Compliance Chief of Staff. You will work closely with Local Compliance, Legal, Customer Support, Product, Operations, and Risk teams to promote consistent complaint handling across jurisdictions, maintain alignment with regulatory requirements, and provide effective second-line oversight and challenge. A key part of the role will be turning customer complaints into actionable compliance and conduct-risk intelligence. You will oversee complaints governance and quality assurance, identify trends and potential systemic issues, support root-cause analysis and remediation, and provide senior leadership with clear reporting on customer outcomes and emerging risks. You will also support the development, coordination, and tracking of responses to regulators, working directly with Legal and Local Compliance teams on regulatory inquiries, escalated complaints, and related supervisory matters. This requires strong regulatory judgment, excellent written communication, and the ability to coordinate complex matters across multiple teams and jurisdictions. What You’ll Be Doing Develop, coordinate, and track responses to regulatory inquiries, examinations, and escalated complaints, partnering with Legal and Local Compliance teams to gather and validate facts, prepare clear and defensible responses, manage review and approval processes, meet regulatory deadlines, and track resulting commitments, remediation, and follow-up through closure. Maintain global regulatory alignment by partnering with local Heads of Compliance to identify changes in jurisdictional requirements and ensure global policies, standards, procedures, and local requirements remain current and appropriately implemented. Oversee the end-to-end complaints control framework, including complaint identification and classification, regulatory and internal service-level requirements, escalation thresholds, documentation standards, investigation and resolution expectations, and closed-loop validation. Own the second-line oversight and quality assurance, including risk-based testing of complaint handling, identification of control gaps and customer-outcome issues, tracking of remediation, and escalation of issues. Turn complaint data into actionable compliance and conduct-risk intelligence by monitoring trends, recurring issues, root causes, regulatory complaints, overdue cases, customer outcomes, and potential systemic issues requiring broader investigation or remediation. Own complaints governance and executive reporting, including reporting to compliance committees and serving as the standing owner of the complaints agenda for compliance leadership meetings. Maintain the complaint management database, service level agreement adherence, and escalation thresholds across all regions. Serve as the central Compliance point of contact for material complaint matters, including complaints or inquiries escalated to regulators, ensuring consistent governance, appropriate escalation, and defensible documentation. Drive continuous improvement of the framework, using QA results, regulatory developments, complaint trends, and lessons learned to strengthen controls and improve customer outcomes globally. What We Look For In You Strong experience developing and managing responses to regulators is required, including regulatory inquiries, information requests, examinations, escalated customer complaints, and other supervisory matters. Demonstrated ability to coordinate cross-functional inputs, develop clear and defensible written responses, manage regulatory deadlines, and track resulting commitments and remediation through closure. Significant experience in regulatory compliance, conduct risk, consumer protection, complaints oversight, or a related discipline, ideally within a highly regulated and globally distributed organization. Demonstrated experience owning or overseeing a multi-jurisdictional compliance framework, including translating regulatory requirements into scalable global standards, controls, monitoring, and governance while appropriately incorporating local requirements. Strong regulatory and customer-outcome judgment, with the ability to distinguish individual service issues from matters presenting potential regulatory, conduct, consumer-harm, reputational, or systemic risk. Demonstrated experience with root-cause analysis and systemic remediation, including assessing whether broader customer populations may be affected and driving appropriate corrective action. Strong second-line oversight and challenge capabilities, with experience designing or operating risk-based monitoring, QA, issue escalation, remediation tracking, and governance processes. Strong analytical and reporting capabilities, trend analysis, SLA monitoring, management information, and executive reporting. Excellent written and verbal communication skills, with the ability to communicate clearly with regulators, Legal, Compliance, senior executives, and cross-functional stakeholders. Proven ability to influence geographically dispersed teams and senior stakeholders. Nice to Haves Experience designing or overseeing a global customer complaints program across multiple regulatory regimes, particularly the United States, United Kingdom, European Union, APAC, LATAM, and/or Middle East. Familiarity with complaints-handling and customer protection expectations across major global regulatory regimes, including those established by the FCA, CFPB, MAS, European Supervisory Authorities (EBA, ESMA and EIOPA), and other relevant national competent authorities and dispute-resolution bodies. Relevant professional certification or advanced qualification such as CAMS, CFE, CRCM, CCEP/CCEP-I, ICA compliance qualifications, CIA, CRCMP, JD or equivalent legal qualification, or a comparable compliance, risk, or audit credential. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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: Brazil; Poland; Argentina; Colombia 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 Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption. You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome. ROLE MISSION Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions. You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators. YOUR RESPONSIBILITIES - Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints. - Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates. - Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints. - Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data. - Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling. - Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders. - Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment. - Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness. - Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles. - Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators. OUR REQUIREMENTS - A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain. - Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows. - Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions. - Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs. - Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives. - Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness. - 8+ years of experience in IT, including strong experience in software design and engineering. - 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock. - Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements. - Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns. - Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models. - Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings. - Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases. - Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices. - Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps. - Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively. OPTIONAL - Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead. - Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores. - Familiarity with frameworks for agentic or multi-component AI pipelines. - Exposure to Responsible AI, data privacy and governance frameworks. - Hands-on experience with Databricks or Snowflake. - Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators. - Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: France WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We're seeking an exceptional Customer Success Manager with deep expertise in the French public sector and government landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of French government organizations. WHAT YOU'LL DO STRATEGIC CUSTOMER PARTNERSHIP: - Own the success, adoption, and growth of Cohere's French public sector customers, ensuring they realize maximum value from our AI solutions - Build deep, trusted relationships with senior French government stakeholders, including Ministres d'État, Préfets, CIOs, digital transformation leads, and ministerial executives - Develop comprehensive success plans tailored to each organization's mission, digital strategy, budget cycles (lois de finances), and unique constraints - Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction - Define and track success metrics aligned with French public sector priorities: citizen satisfaction, service delivery improvements, cost savings, operational efficiency, accessibility outcomes AI ADOPTION & IMPLEMENTATION LEADERSHIP: - Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling - Lead secure AI implementation projects in complex French government environments, including sensitive systems and on-premises deployments - Navigate the unique challenges of French public sector AI adoption: legacy system integration, data sensitivity, lengthy approval processes (marchés publics), and regulatory compliance requirements - Create and execute change management strategies to drive user adoption and value realization across diverse government workforces - Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value - Drive contract renewals and account growth by consistently delivering value and building trusted relationships CUSTOMER ADVOCACY & PRODUCT INFLUENCE: - Serve as the voice of the French public sector customers within Cohere, advocating for features and capabilities that address government-specific needs - Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, accessibility, French language support, and ethical AI - Contribute to the development of French public sector-specific offerings, implementation playbooks, documentation, and best practices - Share customer insights to inform Cohere's French public sector go-to-market strategy and positioning - Represent Cohere at French government forums, working groups (groupes de travail), roundtables, and industry events YOU MAY BE A GOOD FIT IF: REQUIRED EXPERIENCE: - 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or French government contexts - At least 3-5 years working directly with French ministries, regional authorities, or public institutions in a technology, digital transformation, or consulting capacity - Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines - Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments - Experience developing and executing customer success strategies, QBRs, and executive engagement programs - Deep understanding of how French government organizations evaluate, procure (following Code des marchés publics), implement, and govern technology solutions - Active Confidentiel-Défense or higher security clearance (mandatory) - Fluent French language proficiency—essential for working across the French public sector FRENCH PUBLIC SECTOR & GOVERNMENT ACUMEN: - Comprehensive knowledge of the French public sector ecosystem: central ministries, regional governments (régions), departmental authorities (départements), public enterprises, and critical infrastructure - Knowledge of relevant legislation and frameworks: RGPD, loi Informatique et Libertés, ANSSI standards, accessibility standards - Experience with French government cloud strategies and security frameworks: France Cloud, Souveraineté numérique NICE TO HAVE: - 3+ years specifically managing GenAI, LLM, or conversational AI implementations - Experience with specific French public sector digital transformation initiatives: France Relance, France 2030 - Direct experience working with French defense, intelligence, public safety, or national security organizations - Background in management consulting, systems integration, or digital transformation consulting for French public sector clients FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.