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Location: Munich 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. THE ROLE   As Staff AI Deployment Strategist, you will shape how some of the most ambitious enterprises in the DACH region adopt frontier AI at scale. This is a senior, high-impact role at the intersection of strategy, technology, and execution. You will work directly on Mistral’s most strategic opportunities and largest deliveries, helping customers move from ambition to measurable business outcomes. You will frame complex AI transformation programs, turn executive priorities into actionable roadmaps, and ensure that Mistral delivers systems that are valuable, scalable, and trusted. You will also act as a senior sponsor on our most critical customer programs, bringing judgment, structure, and delivery excellence to high-stakes engagements. Your mandate is to raise the ambition and quality of AI adoption: helping customers identify where AI can create step-change value, making the right trade-offs, and ensuring that execution matches the strategic promise. This role is ideal for an experienced strategy consultant, transformation leader, or senior operator who wants to move from advising on change to building it directly with frontier AI technology.   WHAT YOU WILL DO   - Shape high-impact AI transformations - Partner closely with Mistral’s Sales leadership in DACH to qualify opportunities, align on account strategy, and drive executive engagement. - Work with senior customer stakeholders to identify where frontier AI can create material business value. - Structure complex opportunities into clear, credible, and executable transformation programs. - Translate strategic ambition into delivery roadmaps, success metrics, and operating plans. - Help customers make the right trade-offs between ambition, feasibility, speed, and long-term scalability. - Sponsor Mistral’s most strategic deliveries - Act as a senior sponsor on the largest and most complex customer programs, primarily in DACH and potentially cross-region as priorities evolve. - Ensure delivery quality, executive alignment, and measurable business impact. - Anticipate risks, unblock decisions, and help teams navigate ambiguity in high-stakes environments. - Bring senior judgment to moments where scope, resources, timelines, or expected value need to be clarified. - Build repeatable deployment excellence - Turn lessons from strategic engagements into reusable approaches, playbooks, and patterns. - Raise the bar for how AI programs are qualified, framed, delivered, and scaled. - Act as a senior relay for the Solutions organization in the region, helping teams adopt shared best practices, adapt them thoughtfully to local market specificities when needed, and strengthen the quality of execution. - Work hand in hand with Solutions leadership to connect customer realities, delivery patterns, and field feedback into practical ways of improving how Mistral deploys AI. - Help codify what great enterprise AI deployment looks like across industries and use cases. - Contribute to a Solutions culture that combines strategic clarity, technical depth, and strong execution. - Develop and multiply senior DS impact - Coach Deployment Strategists on strategic problem-solving, executive communication, and delivery leadership. - Help teams raise the quality of their work on the highest-impact opportunities. - Identify capability gaps and contribute to hiring, staffing, and development priorities. - Act as a force multiplier across accounts, teams, and regions where your experience can have the highest leverage.     WHAT WE'RE LOOKING FOR   You are a senior, highly capable professional with strong executive presence, excellent business judgment, and a track record of leading complex strategic or transformation work. Typical indicators we’re looking for include: - 8 to 10+ years of professional experience in strategy consulting, digital transformation, AI, enterprise technology, or a similarly demanding environment. - Experience operating at Partner, Principal, Engagement Manager, Director, or equivalent level in a top-tier strategy consulting or transformation context. - A strong ability to structure ambiguous problems, identify value, and turn strategy into execution. - Experience leading large accounts, complex programs, or senior customer relationships. - The credibility to engage with executives and C-level stakeholders on business priorities, trade-offs, and impact. - Strong analytical and commercial judgment, with the ability to challenge assumptions constructively. - Comfort working at the frontier of technology, even when solutions are evolving quickly and the path is not fully defined. - A low-ego, high-ownership mindset and a desire to build with customers and teams, not just advise from a distance. - Fluency in English; German is a strong plus.   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact 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: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping 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 and are obsessed with reimagining how they operate and compete. 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. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises 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 High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: New York, New York; San Francisco, California Workplace: Hybrid 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: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.   This role can be based in either San Francisco or New York City. 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: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. 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. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $165,000 - $205,000 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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #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: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - UK Role Summary As a Forward Deployed Engineer (FDE) at Cloudflare, you will serve as a senior technical expert and advisor for our most strategic and complex customers. This role balances deep technical expertise with hands-on, onsite engagement, where you will architect solutions, optimize performance, and drive business success by helping customers maximize the value of Cloudflare’s platform. You will collaborate cross-functionally with Sales, Support, Product, and Engineering to advocate for customer needs and influence our product roadmap. We are looking for a seasoned technologist who thrives on solving real-world challenges and acting as a trusted advisor within our customers' unique environments. Role Responsibilities Serve as a trusted advisor to key enterprise customers, providing strategic recommendations and technical insights to drive success with Cloudflare’s solutions, specifically Workers and Workers AI platforms. Lead architectural discussions, design sessions, and solution reviews to ensure the optimal application of Cloudflare’s offerings in customer environments. Diagnose complex technical issues and deliver effective, strategic solutions in close collaboration with support and product teams. Manage and navigate complex configurations, utilizing Infrastructure as Code (Terraform) to ensure operational stability for customers. Partner with Sales, Customer Success, Support, Partners, Product Management, and Engineering to ensure customer insights directly influence the product roadmap and enhance the overall experience. Advise customers on industry best practices for security, network optimization, scalability, and performance tuning tailored to their specific operational needs. Stay current with industry trends and evolving Cloudflare solutions to provide forward-thinking guidance and configuration enhancements. Role Requirements (Must-Have Skills) In Depth Experience in a technical customer-facing role such as Solutions Architect or Technical Account Manager, ideally within cloud networking, security, or web infrastructure. Extensive knowledge of Cloudflare’s Application and Security portfolio (DNS, WAF, DDoS, Bot Management, CDN) and cloud infrastructure. Hands-on experience protecting and securing web applications, APIs, and web services using WAF, DDoS, DNS, and Bot Management tools. Proven ability to work with Cloudflare products within Enterprise-level accounts. Exceptional written and verbal communication skills, with the ability to present complex topics effectively to both technical and non-technical audiences. Strong consultative skills with a track record of successfully solving complex technical problems in customer environments. Ability to translate customer requirements into practical, scalable solutions that align with Cloudflare’s technology stack. Nice-to-Have Skills Hands-on experience with coding, Cloudflare Workers, and Workers AI. Prior experience in customer onsite placement. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Tokyo 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 Required Skills: 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 Customer & Communication Skills - Proven ability to build trusted, long-term customer relationships through technical and domain credibility - Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability Day-to-Day Activities - Conduct investigations and analytical work using Chainalysis tools (Reactor, KYT, Data Solutions) in response to customer needs - Develop and maintain technical artifacts — Python notebooks, SQL queries, dashboards, investigative reports — tailored to customer use cases - Work side-by-side with customers to design workflows that operationalise Chainalysis data in their environment - Enable customer teams through hands-on training, walkthroughs, and knowledge transfer — so they can operate independently - Deliver live demos, investigative briefings, and solution presentations - Support pre-sales activity — technical discovery, proof-of-value sessions, and solution scoping for prospective customers - Gather feedback from customers and translate it into actionable recommendations for Product, Engineering, and Global Intel - Contribute to live training delivery in your domain of expertise - Support multiple customers concurrently while maintaining quality and responsiveness - Develop your domain specialism through continuous learning, case work, and engagement with the broader investigations and intelligence community Personal Attributes - Highly curious and continuously learning about blockchain technology, investigations, and emerging threats. - Strong customer focus with a genuine desire to help customers succeed in their mission. - Self-starter who thrives in ambiguous environments and takes ownership of outcomes. - Collaborative, adaptable, and comfortable operating across teams and functions. - Deeply curious about blockchain technology, crypto crime, investigations, and the evolving threat landscape - Strong customer focus with a genuine desire to help customers succeed in their mission — whether that's making an arrest, filing a SAR, or building a compliance programme - Credibility-driven — earns trust through expertise and delivery, not just presentation - Self-starter who thrives in ambiguous environments and takes ownership of outcomes - Collaborative, adaptable, and comfortable operating across teams and functions - Committed to developing deep domain expertise — not satisfied with surface-level knowledge 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is building its founding Forward Deployed Engineering team to solve the complex, real-world challenges that emerge when bringing Figma’s products into large-scale enterprise environments and looking for founding Forward Deployed Engineers. As a Forward Deployed Engineer, you’ll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma’s products successful within their unique technical constraints. You’ll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers’ senior engineering teams. This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You’ll work directly in customer environments when needed, using the minimum access required. Your goal is smooth adoption by the customer’s product and engineering teams, which means making complex workflows work simply in their environment and solving the underlying problems You’ll do that hands-on, often by writing Figma product code, then turn what you learn into a reusable path for future customers instead of taking permanent ownership of the customer’s codebase. Working closely with Figma’s Product, Engineering, Sales, and Customer Experience teams, you’ll help shape both the product and how this brand-new function works and scales. The role is highly collaborative, deeply customer-facing, and built for engineers who thrive in ambiguity, take end-to-end ownership, and want to solve the highest-impact problems at the intersection of product, engineering, and customer needs. This role includes periodic travel to work alongside strategic customers in person. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Make an enterprise design system agent-ready so AI tools generate faithful, on-system code: fix tokens, naming, and guidelines, wire up Code Connect, and run evals Get Make Local, Code Layers, and our newest products working in a customer’s real environment, writing code, config, agent skills, and guideline files against their systems and ours Run technical discovery: understand a customer's dev environment, toolchain, and constraints, then scope the fastest credible path to value, in addition to setting the customer up for long term success Debug hard, unfamiliar integration problems (git workflows, CI, dev-environment setup, non-standard stacks) Build LLM-powered workflows: MCP setup, agent skills, and prompt engineering tuned to each customer’s context Turn one-off solutions into reusable playbooks and product feedback, so patterns you solve once become self-serve or shipped product Bring  learnings on friction back to Figma's Product and Engineering teams, influence what gets built next, and often build it We'd love to hear from you if you have: 5+ years shipping production software end-to-end, with meaningful time embedded with customers or partner teams Excellent customer-facing communication and technical partnership skills, with the ability to build trust with senior engineers and translate customer needs into actionable product and engineering solutions Strong engineering fundamentals and adaptability, with the ability to quickly navigate unfamiliar codebases, languages, and technical environments to deliver production-ready solutions Hands-on experience with design systems and design-to-code workflows, including component libraries, tokens, documentation, and the tooling that connects design artifacts to production code Proficiency in TypeScript/JavaScript or Python, including demonstrated fluency with agentic coding tools (e.g., MCP, agent orchestration). You have hands-on experience integrating APIs and SDKs, troubleshooting toolchains and CI environments, and navigating enterprise requirements such as SSO, security reviews, access controls, data residency, and compliance frameworks Comfort owning ambiguous technical problems end to end, identifying patterns across customer engagements, and turning field learning into reusable product improvements While it's not required, it's an added plus if you also have: Background in forward-deployed engineering, solutions engineering, professional services, developer experience, or a similar customer-facing technical role Familiarity with developer tools, design-to-code workflows, or AI/LLM products, including tools such as Code Connect, Storybook, Style Dictionary, or comparable technologies Proven ability to partner cross-functionally with Sales, Customer Experience, Solutions Architecture, or related teams to deliver complex enterprise engagements At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: New York Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Deployment Lead to serve as the strategic layer in our Forward Deployed Engineering (FDE) function who ensures our customers successfully implement and unlock maximum value from AI-driven decision-making. In this pre- and post-sale hybrid role, you'll be the primary point of contact guiding enterprise customers and Taktile internal teams through highly strategic, complex, multi use case AI transformation projects. You lead strategic planning of the project, own business outcome of the solution implementation, pave path for business impact-driven footprint and revenue expansion within the account, and shape product roadmaps with first-hand industry insights. You’ll collaborate across Taktile’s Forward Deployed Engineer (FDE), Solution, Product, and Sales teams, as well as with external partners, to support customers throughout their entire lifecycle, driving strategic outcomes and sustained impact. This is a hybrid role in our New York City office. About You - Strategic Enterprise Leader – You are a strategic thinker and experienced navigator of complex enterprise deals and transformation programs. You can turn an ambitious AI vision into a credible, sequenced, and executable plan. - Complexity Navigator – You can synthesize technical, operational, and commercial complexity, including use-case-specific pain points, value propositions, industry dynamics, vendor landscapes, stakeholder agendas, competing KPIs, and build-versus-buy considerations. - Executive Communicator – You have the presence and judgment to engage senior and C-level stakeholders, facilitate difficult trade-offs, challenge assumptions constructively, and build alignment across business, risk, technology, data, and AI teams. - Commercially Minded – You can identify where AI can create material business value, build quantified success metrics and ROI frameworks, and connect delivery outcomes to adoption, expansion, and long-term account value. - Delivery Leader – You can structure and lead high-stakes pilot and proof-of-value programs, anticipate risks, unblock decisions, and keep cross-functional teams aligned on scope, quality, timelines, and expected impact. - AI-Native – You are familiar with modern AI and LLM capabilities, limitations, evaluation approaches, governance considerations, and the requirements for deploying trusted AI in regulated environments. You use AI tools every day to do your own work faster and better, and you expect to bring that way of working to customers. - Technically Hands-On – You understand applied AI, data, and integration concepts deeply enough to make solution choices yourself, not just referee them. You don’t need to be a software engineer, but you are comfortable reading a decision flow, digging into data, and building a rough prototype or demo with modern AI tooling. Solutions Engineers and Forward Deployed Engineers own production implementation; you can follow them all the way into the details. - Low-Ego, High-Ownership – You are hands-on where your judgment has the greatest leverage, collaborate effectively across functions, and want to build with customers and teams—not advise from a distance. - Experienced – You have 5-10 years of experience in enterprise technology, strategy consulting, digital or AI transformation, technical sales, complex delivery, or a similarly demanding customer-facing environment, including leadership of large accounts or programs. - Mobile – You are willing to travel up to 30% of the time. What You’ll Do - Shape high-impact AI transformations - Partner with Account Executives and Solutions Engineers early in strategic enterprise opportunities to qualify the opportunity, shape account strategy, and build credibility with executive stakeholders. - Lead use-case discovery and prioritization workshops that assess potential business impact, transformation potential, feasibility, implementation risk, and time to value. - Guide customers and internal teams to select the right landing or pilot use case, define which use cases should follow in later phases, and turn that sequence into a compelling AI-transformation roadmap. - Lead end-to-end process-mapping workshops for the selected use case. Surface and document current-state pain points, stakeholder needs, decision flows, data and technology constraints, the target-state process, and the customer’s wish list. - Define clear success criteria, measurable business-value metrics, and ROI frameworks that align business, risk, technology, data, and AI stakeholders before delivery begins. - Own Taktile’s most strategic value deliveries - Act as a senior sponsor for complex post-sale programs, ensuring delivery quality, executive alignment, measurable outcomes, and a clear path from the initial use case to scaled adoption. - Lead pilot and proof-of-value programs in partnership with Forward Deployed Engineers. Guide solution design, evaluation methodology, performance assessment, stakeholder reviews, and the priorities for subsequent iterations. - Translate technical results into clear business implications and present progress, trade-offs, risks, and quantified value to both customer executives and internal stakeholders. - Accelerate revenue and product excellence - Identify expansion opportunities based on demonstrated value and customer priorities, and shape the narrative, sequencing, and operating plan for additional use cases. - Bring customer realities, market dynamics, and field feedback back to Product and Engineering, and turn lessons from engagements into repeatable discovery methods, delivery playbooks, ROI frameworks, and industry-specific patterns. - Act as a force multiplier across accounts and teams by coaching colleagues on strategic problem-solving, executive communication, use-case framing, and delivery leadership. Ideal, But Not Required - You are a domain expert and can engage credibly in front of customers and internal teams for one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have led AI, data, risk, or decisioning transformation programs within banks, insurers, lenders, or other regulated financial institutions. - You have deep experience in one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have operated at Engagement Manager, Principal, Director, Partner, or an equivalent senior level in strategy consulting, digital transformation, enterprise technology, technical sales, or customer delivery. - You understand the financial-services technology and vendor landscape and can help customers evaluate architecture, operating-model, and build-versus-buy trade-offs. - You have experience coaching teams, codifying best practices, and raising the quality of work across multiple strategic accounts or programs. Our Offer - Work on hard, meaningful problems with real-world impact. - Receive top-of-market equity and cash compensation. - Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes. - Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world. - Shape how enterprise SaaS is delivered at scale. - Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Use the equipment of your choice including a meaningful home office set-up.About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Foster City, CA; NYC (SoHo) Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our FDE team and work directly with some of the world's largest organizations to turn their most ambitious ideas into production applications on Replit. As a Forward Deployed Engineer, you'll partner closely with customers to understand their technical and business needs, architect solutions, and build the integrations and applications required to deploy Replit successfully within complex enterprise environments. This is a deeply technical and hands-on role. You won’t just advise customers on what to build—you’ll build alongside them. You’ll take applications from initial idea and prototype through deployment and production, navigate complex enterprise environments, and solve the technical challenges that emerge when AI-powered software development meets real-world infrastructure, data, security, and organizational constraints. You will: - Build with Customers: Embed with strategic enterprise customers to design and build high-impact applications and AI-powered workflows on Replit, taking projects from initial concept through production deployment. - Architect Enterprise Solutions: Design secure, scalable architectures that connect Replit with customers’ existing systems, data, APIs, identity providers, and infrastructure. - Integrate with the customer's stack: SSO, data warehouses, internal APIs, and SaaS systems. - Own Technical Deployments: Serve as the technical owner for complex enterprise implementations, identifying blockers, debugging issues, and driving projects through to successful production adoption. - Bridge Customers and Product: Develop a deep understanding of how enterprises use Replit and translate field insights, technical constraints, and recurring customer needs into actionable feedback for Replit’s product and engineering teams. - Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences - Ship quickly and iterate based on customer feedback and usage data - Turn field patterns into templates, playbooks, and product requirements. Ship the best patterns back to the platform. Required skills and experience: - 5+ years of software engineering experience building and deploying production software - Strong programming skills and the ability to quickly understand and work across unfamiliar codebases, APIs, and technical environments - Hands-on work with LLM applications in production: retrieval, tool calls, and evals. - Experience designing and owning complex technical systems from architecture through production - Demonstrated ability to operate effectively in ambiguous environments and independently drive technical projects to completion - Strong technical communication skills and experience working directly with customers, partners, or cross-functional stakeholders - Ability to translate business requirements and customer problems into pragmatic technical solutions Preferred Qualifications - Experience in Forward Deployed Engineering, Solutions Architecture, Sales Engineering, consulting, or another highly technical customer-facing role - Experience building and deploying AI-powered applications, agents, or developer tools - Experience with modern cloud infrastructure, application deployment, databases, APIs, authentication, and enterprise integration patterns - Experience integrating software into complex enterprise environments, including identity and access management, internal data sources, APIs, and existing developer infrastructure Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Embed within client environments, working onsite with the people performing the work and the executives sponsoring it. Lead discovery sessions to understand the client’s business, systems, data, operating model, and underlying challenges. Translate ambiguous business problems into prioritized and quantified opportunity maps, supported by clear baselines and accountable client owners. Identify which opportunities are genuinely worth pursuing and advise against initiatives that do not provide sufficient business value. Build trust in the client’s data and deliver working, data-grounded prototypes within the first weeks of an engagement. Design, develop, debug, and deploy production-grade AI agents, integrations, data pipelines, and applications within client systems. Remain hands-on in the code whenever technical progress or delivery outcomes depend on it. Define evaluation frameworks, quality thresholds, regression gates, and monitoring strategies for AI and agentic systems. Monitor model and data drift and design effective human-in-the-loop controls for high-impact workflows. Scope, sequence, and coordinate delivery across engineers, architects, and specialist contributors. Make explicit trade-offs between scope, delivery speed, quality, and business value. Orchestrate Exadel Colleague to accelerate delivery and scale successful implementation patterns. Convert successful deployments into reusable reference architectures, agent templates, integration blueprints, evaluation frameworks, and delivery playbooks. Produce clear technical documentation, operational runbooks, and knowledge-transfer materials. Train client teams to independently operate, maintain, and extend delivered solutions. For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes. For Senior FDEs, mentor other Forward Deployed Engineers and ensure reusable delivery patterns are incorporated into Exadel Colleague. What You Bring Mid-level hands-on technical experience, including client-facing capacity. For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods. A demonstrated record of delivering production software used by real users and business teams. Practical experience designing, deploying, and debugging LLM-backed or agentic systems in production. Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL. Strong knowledge of prompt and context engineering, agent architecture, tool and function calling, and retrieval-augmented generation. Experience with Model Context Protocol servers, sub-agents, skills, and agent development frameworks such as the OpenAI Agents SDK or Claude SDKs. Experience designing evaluation harnesses, quality thresholds, regression gates, drift monitoring, and observability for non-deterministic systems. Understanding of human-in-the-loop control design and where human review should remain within automated workflows. Experience with data modeling, domain ontologies, ETL or ELT pipelines, relational databases, vector stores, and embedding pipelines. Experience building and deploying solutions on AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, serverless architectures, and enterprise deployment patterns. Experience integrating with REST or GraphQL APIs, webhooks, event-streaming platforms, identity systems, and SSO. High agency and sound judgment when working through ambiguity, incomplete information, and evolving client requirements. Demonstrated ability to become credible and productive quickly within unfamiliar industries and business domains. A habit of clarifying the problem, identifying constraints, and explicitly stating assumptions before developing a solution. The ability to communicate effectively with both executive and technical audiences. Strong technical writing skills, with the ability to explain complex concepts clearly and precisely. Commercial judgment and the ability to connect technical decisions to measurable business value. Strong analytical and mathematical rigor when working with incomplete, inconsistent, or unstructured data. Fluent English communication skills. Willingness to travel approximately 25–50% and work onsite in client environments. Nice to have A university degree is preferred but not required. Demonstrated evidence of successfully delivered work will be valued ahead of formal qualifications. Java, C#, or C++ within legacy enterprise environments. Node.js, React, or Next.js for client-facing applications. Fine-tuning fundamentals and multi-agent orchestration. TDD or BDD practices. Large-scale data processing platforms such as Spark, Databricks, or Snowflake. PostgreSQL, MySQL, or comparable relational databases. On-premises, sovereign, or restricted-cloud deployment models. Enterprise systems such as Jira, Azure DevOps, ServiceNow, Salesforce, or SAP. GitHub or GitLab-based delivery workflows. English level Fluent Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. This position supports US-based operations; however, contracting will be executed locally in Brazil as a [PJ / CLT] engagement. Compensation is set and paid strictly in Reais (BRL). Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: United Kingdom; Europe; London Workplace: Remote 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! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Location: UK Active DV clearance is highly preferred In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems 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.

Location: Italy Workplace: Hybrid THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Italy Workplace: Hybrid THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Atlanta, GA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Menlo Park Workplace: Hybrid Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices. What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across North America for the US based role. - Excellent English skills are required Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: New York Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices. What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across North America for the US based role. - Excellent English skills are required Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Switzerland; Geneva; Zurich Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices.   What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across Switzerland. - Excellent English skills are required, German and/or French is strongly preferred.   Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps.

Location: Paris 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. ABOUT THE TEAM 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. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence, including on-premise, disconnected, and air-gapped deployments. As an AI Deployment Strategist on this team, you will drive the adoption and deployment of Mistral's AI solutions inside sovereign institutions and critical infrastructure, 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, under real operational, security, and compliance constraints. You will partner with senior leaders and mission owners to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to 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. HOW WE WORK IN SOLUTIONS - We care about people and outputs. What matters is what you ship, not the time you spend on it. - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before. - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. 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. - Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling is a plus. - Experience deploying AI in regulated or sovereign environments (defense, public sector, critical infrastructure) is a plus. SECURITY & COMPLIANCE CRITERIA - Eligibility: must hold citizenship in the target territory (France for now). - Clearable: must meet all local requirements for high-level security clearance (e.g. no criminal record, fulfillment of national service obligations). 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: 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.