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Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Use any valid email address to log in. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: Independent Contractor – CPT-11675 Research & Cold Calling VA /Business Support VA/Entry-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A Maryland-based commercial real estate broker is seeking a part-time Commercial Real Estate Research & Outreach Virtual Assistant to support the targeted marketing of a high-value church property located in Bethesda, Maryland. The primary objective of this role is to research financially qualified churches, ministries, religious organizations, and schools that may have an interest in acquiring a marquee property near Washington, D.C. The VA will identify the appropriate decision-makers, make introductory calls, obtain permission for the broker to send the property's offering memorandum, and maintain organized records of all outreach. This is not a traditional sales or closing role. The VA's responsibility is to create qualified introductions and provide the broker with accurate contact information and permission to follow up directly. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Prospect Research Review and organize the client-provided database of churches and related organizations Research additional local, regional, national, and potentially international churches, ministries, and schools Identify organizations with the potential financial capacity and strategic interest to purchase the property Research leadership teams, real estate contacts, expansion plans, and organizational structure Identify the appropriate decision-maker for property acquisition discussions Expand prospect lists beyond Maryland and Washington, D.C., prioritizing Virginia if current local outreach does not produce sufficient prospects. Research and build lists of large churches across the United States, including growing congregations from Ethiopian, Korean, Ghanaian, and other international communities. Include embassies as potential property prospects and expand the prospect database as existing leads are exhausted Introductory Outreach Call churches, ministries, schools, and related organizations using an approved script Introduce the property at a high level without conducting the full sales presentation Determine the correct person responsible for real estate, expansion, finance, or executive decisions Obtain permission for the broker to send the offering memorandum and property materials Collect accurate names, titles, phone numbers, and email addresses Escalate qualified or interested contacts to the broker for direct follow-up Make reasonable efforts to reach the actual decision-maker for real estate acquisition or property-related decisions rather than relying solely on receptionists or general office contacts. If the decision-maker cannot be reached after reasonable attempts, obtain the name, direct email address, and phone number of the person who agrees to receive the property information so the broker can follow up with a specific contact. Use a respectful, non-aggressive approach when navigating gatekeepers and requesting access to decision-makers Lead Tracking & Documentation Maintain an organized outreach tracker in Google Sheets Record research findings, call outcomes, decision-maker information, and next steps Track whether permission was granted to send property materials Avoid duplicate outreach and maintain accurate follow-up status Provide regular summaries of completed research and qualified contacts Systems & Process Support Assist with setting up and using Google Voice or another approved calling system Follow established scripts, research criteria, and outreach procedures Help document a repeatable prospecting process that may later be used for other commercial real estate listings Support related research and outreach projects as assigned Outbound Calling & Appointment Setting Conduct consistent, high-volume outbound calls to targeted churches, ministries, schools, and related organizations. Qualify prospects during initial calls and identify appropriate decision-makers and potential opportunities. Set qualified appointments or broker follow-up calls with interested prospects. Complete timely follow-up calls and outreach based on established follow-up schedules. Maintain accurate and up-to-date records of calls, qualified leads, appointments, follow-ups, and next steps in the Google Sheets tracker. Meet mutually agreed performance targets for outbound call volume, qualified leads, appointments set, follow-up activity, and tracker accuracy. Aim for approximately 50 outbound calls per day as a target, adjusting reasonably when longer conversations or meaningful progress affect call volume. Prioritize meaningful conversations and qualified contacts over call counts or permissions obtained from contacts unlikely to forward the property information to the appropriate decision-maker. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Proven cold calling and outbound calling experience required. Strong appointment setting and lead qualification skills required. Experience in lead generation, telemarketing, inside sales, or business development preferred. Ability to handle high-volume calls with a professional, conversational approach. Ability to identify qualified leads and decision-makers during calls. Strong objection handling, persistence, and follow-up skills. Ability to follow scripts while adapting naturally to conversations. Strong spoken and written English communication skills. Proficient in Google Sheets and spreadsheets. Commercial real estate experience preferred but not required. Strong online research and decision-maker identification skills. High attention to detail and data accuracy. APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Google Sheets Google Workspace Google Voice or a similar VoIP platform Online Research Tools Commercial Real Estate Databases (Preferred) Microsoft Office IDEAL CANDIDATE PROFILE Confident and experienced cold caller comfortable with consistent outbound calls. Skilled in lead qualification and appointment setting. Professional and conversational when engaging new prospects. Able to identify and reach key decision-makers. Persistent in reaching difficult-to-contact prospects and handling objections. Able to quickly assess lead quality and fit based on established criteria. Strong follow-up, organization, and documentation skills. Able to follow scripts and processes while maintaining a natural approach. Organized and accurate in managing prospect pipelines and trackers. Comfortable working independently with minimal supervision. Professional and respectful when communicating with churches, ministries, schools, and other organizations. Good judgment in identifying prospects for broker follow-up. Work Schedule Contracted Hours per Week: 20 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 10 AM to 2 PM Eastern Time, with flexibility for splitting hours or adjusting based on church office availability and list building needs. Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior, Senior Level Contracted Hours per Week: 20 hours/week Daily Working Time: 10 AM to 2 PM Eastern Time, with flexibility for splitting hours or adjusting based on church office availability and list-building needs. Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-B (Clear and Professional Spoken English Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Remote - US Sr. Partner Marketing Manager Remote – US About Backblaze Backblaze (NASDAQ: BLZE) is the high-performance capacity storage layer for AI. Founded in 2007, we scaled the business on less than $3 million in outside funding until our 2021 IPO on the Nasdaq. Today we manage over five billion gigabytes of data for 500K+ customers in 175+ countries, including AI platforms, GPU clouds, businesses, developers, IT professionals, and individuals. About the Role As a best of breed storage platform, a robust partner ecosystem is how Backblaze reaches the AI market: GPU clouds, AI infrastructure vendors, data and AI platforms, and the events where that ecosystem gathers. You will serve our Partnerships & Ecosystem team, and report to the VP of Marketing. Product Marketing, Campaign leads, Content and Creative, Demand Generation, Communications, and Analyst Relations all back you up as you provide the bridge between corporate GTM efforts and our partner orgs GTM efforts. You work at a senior level and carry the work yourself, with strong collaboration and teams to support your efforts. The job is to give partner marketing the same structure, standards, and ambition as everything else Marketing does, and to make every partnership worth more to Backblaze, to the partner, and to the customers we share. What You’ll Do Set the plan and the operating rhythm Build and run a rolling six-month partner marketing plan with the Partner team with a focus on priority partnerships in the AI space Structure the work in manner that keeps the teams aligned and informed with shared calendars, clear intake paths, and a point of view on what Backblaze will and won’t do Fold partner marketing into Marketing’s broader planning so partner programs, launches, and campaigns move with brand, product marketing, and demand generation priorities Stay agile and responsive as opportunities evolve and shift around you Lead the reporting cadence on impact, in collaboration with the business intelligence team, at a level consumable from c-suite to team meetings Translate our story for partners Take Product Marketing’s core positioning and materials and adapt them for each partner’s sellers, architects, and customers: joint value propositions, partner-facing narratives, and co-branded messaging that stay true to how Backblaze talks about itself. Equip priority partners’ teams to get Backblaze right, with kits, one-pagers, and sales plays built alongside Enablement and Partnerships Build brand with the ecosystem Raise Backblaze’s profile with the most credible names in AI through joint narratives, co-presented content, webinars, and thought leadership that establish Backblaze as a storage leader for AI Coordinate announcements with Communications, including the disclosure requirements that come with being a public company Working with the events team, advocate for Backblaze’s presence at AI-first events and moments where we can show up with strategic partners Bridge marketing and enablement Working with the content and creative team, build co-branded reference architectures, joint case studies and customer references, and informative announcements that help customers make decisions Work with DevRel and Sales Engineering around content and enablement with technical depth, they can provide the substance but you’ll need to provide structure and promotion Own how Backblaze appears on partner surfaces: integration and partner pages, directories, marketplace listings, co-branded assets, and Powered By Backblaze materials, and documentation. Keep them accurate, current, and consistent Support analyst submissions for partner-validated architectures alongside our Analyst Relations team The Right Fit Required 7–10 years in B2B technology marketing, including 4+ years in partner, alliance, or ecosystem marketing at an infrastructure, cloud, data, or AI company. A record of launching and running co-marketing with partners larger than your own company, and of earning priority from a partner’s marketing team Proven skill at translating core product positioning into partner-specific narratives, and the writing ability to draft them yourself. Bring samples Technical fluency to work with Sales Engineers and partner architects: cloud and object storage, S3-compatible APIs, and how AI and data pipelines use storage (training data, checkpoints, inference) Experience planning and executing a presence at major industry conferences, ideally in the AI ecosystem Comfort reading pipeline and campaign data in Salesforce and dashboards that others build, and turning it into decisions The discipline to work solo: set priorities, hold them, and use AI tools to multiply your output without lowering the bar Strongly Preferred Partner marketing experience at an AI cloud, AI infrastructure vendor, or data platform. Experience with partner-hosted conferences and co-presented programming at GTC scale. Public company experience, including work within disclosure requirements for partner announcements. Experience standing up partner marketing in a function that did not have a home. A background producing technical proof: reference architectures, benchmark-backed content, and customer references. Logistics Location: Remote – US Travel: ~25%, concentrated around major AI events and partner meetings Reports to: VP, Marketing Partners with: Partnerships & Ecosystem, Product Marketing, Revenue Operations, Channel Marketing, Content and Creative, Demand Generation, Communications, Analyst Relations Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is $135,000 – $150,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Los Angeles Workplace: Hybrid About Cantina: Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. About the Role: Cantina is looking for a Creative Director to own creative direction across original content, performance advertising, brand campaigns, and product storytelling. This is a hands-on role: you’ll come up with the concept, write the script, generate assets, work through the edit, and keep pushing until it lands. Some days you’ll direct a small team, and some days you’ll make the whole thing yourself. What You’ll Do: - Own creative direction across original content, performance advertising, brand campaigns, and product storytelling, defining our brand voice and making it recognizable everywhere. - Turn product capabilities into concepts people actually want to watch, share, and try for themselves. - Recruit and lead a team of 10 to 25 creatives, including creative directors, video editors, motion designers, visual designers, copywriters, screenwriters, producers, and AI filmmakers. - Develop and produce video creative for paid social, organic social, product launches, and brand campaigns. - Turn a product feature or consumer insight into a great hook, a clear story, and a reason to try Cantina. - Write briefs, scripts, and treatments, build storyboards, and direct editors, designers, creators, and AI filmmakers. - Make things yourself: cut video, create motion graphics, generate characters and scenes, experiment with voice and sound, and take concepts through to finished assets. - Build performance creative testing plans with the growth team, testing concepts, hooks, offers, and calls to action, then using the results to decide what to make next. - Develop platform-native creative with the right pacing, framing, captions, and aspect ratios for each placement. - Keep a steady pipeline of fresh ideas and turn winning concepts into repeatable formats without running them into the ground. What You’ll Bring: - A strong portfolio of video creative, including performance advertising with measurable results. - Great storytelling instincts: you know how to establish a character, create tension, and deliver a payoff in very little time. - Hands-on proficiency with video editing and motion design tools. - Experience directing small creative teams and giving clear, actionable feedback. - An understanding of creative metrics like hook rate, hold rate, CTR, CVR, and CPA, and how to use them to improve the work. - Practical experience with AI image, video, and audio production, including the iteration it takes to get a usable result. - Speed, taste, and a willingness to try something strange if the idea is good. Compensation: The anticipated annual base salary range for this role is between $250,000-$350,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Los Angeles Workplace: Hybrid About Cantina: Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. About the Role: Cantina is looking for a Video Content Strategist and Editor to lead our outbound video marketing, driving consumer growth and retention, creator adoption, and brand awareness. You’ll turn Cantina’s vast video output from creators, product and engineering announcements, and thought leadership into scroll-stopping video that shows why the best content and creators are on Cantina. What You’ll Do: - Review Cantina’s most successful and high profile content to find videos to amplify or excerpt from for supercuts and promotional videos - Piece together clips to create a consistent stream of supercuts showing off Cantina’s best content, biggest creators, most powerful capabilities, and latest features - Review new feature releases, conceptualize explainer and example videos, shoot, and publish - Lead conceptualization, scripting, shooting, and editing for executive talking head content What You’ll Bring: - High taste and ruthless standards for quality, with the ability to rapidly scan huge volumes of video and pull out the best clips. - Absurdly fast editing skills, using the latest tools to produce high-quality video daily. - Virality instincts: you’re up on the latest formats and tactics and can predict and produce highly performant content. - Creative strategy skills to translate high-level concepts and instruction into brilliant content ideas. Nice To Have: - Experience developing, producing, and publishing a viral video media property or a daily/weekly recurring format. - Time as lead short-form video strategist for a top 20 global creator. - Former successful off-screen solo video creator/curator. - Scrappy lead video producer stints at a forward-thinking consumer tech brand. Compensation: The anticipated annual base salary range for this role is between $155,000-$175,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We're looking for a Director of EPD Operations to run the operating system for Webflow's Engineering, Product & Design (EPD) organization. You'll own how EPD plans, tracks, launches, and reports on its work, and you'll make that system faster every quarter, increasingly with AI agents doing the repetitive parts. You'll report to the Chief Product Officer, sit on EPD Leadership, and lead a small, high-leverage team of program managers, technical program managers, and agentic engineers. This role is for an operator who builds. You care about rituals and rigor, but you measure success by one thing: whether EPD ships more customer value, faster and more reliably. ABOUT THE ROLE - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Exempt - Reporting to the Chief Product Officer - For this role, candidates must be legally authorized to work in the United States without the need for Webflow's sponsorship for an immigration-related employment benefit (i.e., a work visa, work permit, etc.) - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures in USD) - Zone A: 284,000 - 355,000 - Zone B: 267,000 - 334,000 - Zone C: 249,600 - 312,000 As Director, EPD Operations, you'll… - Run the EPD operating rhythm. Own the leadership and org-wide rituals that keep a multi-pillar EPD org aligned: weekly EPD Leadership, pillar lead reviews, quarterly all-hands, offsites, and protected builder time. Cut what doesn't earn its time; make what stays drive decisions. - Own planning, OKRs, and roadmap health. Run quarterly planning with pillar leads, manage the OKR program and its owners, and keep the roadmap current and trustworthy. Surface at-risk work early and route it to the right leader for a decision within a week. - Tell EPD's story to leadership and the board. Produce accurate, on-time reporting for exec staff, board meetings, and QBRs, sourced from live roadmap and OKR data rather than one-off reconciliation. - Own launch readiness and release governance. Run OK2GA and production-readiness reviews, coordinate high-profile launch moments (like Webflow Conf), and partner with Engineering and Support on post-incident follow-through so reliability work gets prioritized, not lost. - Run alpha and beta programs. Give product teams a predictable path from build-complete to customers' hands, with clear feedback loops, in partnership with Product, Research, and GTM. - Improve the product development lifecycle. Own PDLC standards (PRDs, stage gates, product-led releases), templatize or automate the repeatable steps, and make the process lighter for PMs, EMs, and designers. - Lead EPD's internal AI and tooling roadmap. Direct a team of agentic engineers building agents and automations for EPD: triage intake and routing, status updates, beta recruitment, roadmap views, and a shared skills library. Own EPD tooling (e.g., Linear) and partner with IT and Finance on spend and adoption. - Be the bridge to Finance and GTM. Partner with Finance and Accounting on headcount plans and capitalized software reporting, and with Marketing, Sales, and Support on launch plans and the flow of customer feedback into EPD. - Build and lead the team. Hire, coach, and grow a team of program managers, TPMs, and agentic engineers across US and LATAM time zones. Set clear priorities and give them room to own outcomes. In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. ABOUT YOU You'll thrive as Director, EPD Operations if you have: - 10+ years in technical program management, engineering or product operations, or chief-of-staff roles at a software company, with at least 4 years leading teams. - A track record of running planning, OKRs, and operating cadence for an EPD org of several hundred people, and of making that system simpler over time. - Experience owning launch readiness or release governance for a SaaS product, including coordinating major launches with GTM. - Strong executive presence. You can run a room of VPs, synthesize a messy debate into a decision, and write a board-ready update. - Hands-on AI fluency. You use AI tools and agents in your own daily work, and you've led or sponsored automation that removed real operational toil and got adopted. - Fluency with engineering and product tooling (Linear, Jira, Confluence, Slack, data/BI tools), and the judgment to change tools only when it pays off. - Comfort with ambiguity and frequent change. You can re-plan quickly after a reorg or a strategy shift without losing the thread. - Clear, concise communication across technical and non-technical audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Retail Experience Design Specialist II to help bring the WHOOP brand and product experience to life across physical retail environments. As a member of the Retail team, you will play an active role in the design and development of engaging, functional, and distinctly WHOOP spaces that introduce consumers to our products and create memorable brand experiences. In this role, you will leverage your architectural training, design expertise, and professional experience to translate creative concepts into thoughtful, executable physical environments. You will take ownership of defined design workstreams and collaborate cross-functionally with Retail, Brand, Creative, Operations, and external partners throughout the design process—from early concepts and spatial planning through design development, documentation, production, and installation. The ideal candidate has a professional degree in architecture, strong spatial and visual design skills, and experience applying architectural design principles to retail, experiential, or branded environments. You are a proactive and detail-oriented designer who can independently develop and communicate design solutions, navigate ambiguity, incorporate feedback, and balance creative ambition with technical and operational requirements. You thrive in a fast-paced, collaborative environment and are excited to contribute to the evolution of WHOOP's physical retail experience. RESPONSIBILITIES: ● Design and develop WHOOP retail environments, including stores, shop-in-shops, pop-ups, fixtures, displays, merchandising elements, signage, and other physical brand touchpoints, taking ownership of assigned design deliverables and workstreams. ● Translate WHOOP brand principles and creative concepts into compelling, cohesive spatial experiences that balance aesthetics, functionality, product storytelling, customer journey, and business objectives. ● Independently develop and refine architectural and spatial design concepts through sketches, plans, elevations, 3D models, renderings, material studies, and presentations. ● Lead space planning and layout development for assigned projects, considering customer flow, product interaction, merchandising, accessibility, operational requirements, and site-specific constraints. ● Produce and maintain accurate, detailed design documentation that effectively communicates design intent to internal stakeholders, vendors, fabricators, and other external partners. ● Collaborate with cross-functional teams across Retail, Brand, Creative, and Operations to define project requirements, identify design opportunities, and translate business and customer needs into practical physical design solutions. ● Drive assigned design workstreams through multiple phases of the design process, from concept development and iteration through design development, production, installation, and launch, ensuring quality and consistency throughout. ● Research, evaluate, and recommend materials, finishes, furniture, fixtures, lighting, signage, and other environmental elements that align with WHOOP brand standards, design intent, durability, and budget requirements. ● Contribute to prototype development and design reviews, proactively identifying opportunities for improvement and refining solutions based on feasibility, cost, schedule, fabrication constraints, and customer experience. ● Work directly with vendors, fabricators, and external partners to communicate design requirements, review shop drawings, samples, and prototypes, resolve design-related questions, and ensure final executions align with design intent and WHOOP quality standards. ● Contribute to the development, refinement, and maintenance of retail design standards, guidelines, templates, and documentation that support a consistent and scalable WHOOP experience across locations and formats. ● Identify opportunities to improve design processes, documentation practices, and execution efficiencies, helping the team deliver high-quality retail environments at scale. ● Stay informed on trends and innovations across architecture, retail, experiential design, materials, fabrication, and consumer environments, proactively bringing relevant ideas and inspiration to the team. ● Manage multiple projects and design deliverables simultaneously, independently prioritizing tasks, communicating progress, and maintaining a high level of organization, accuracy, and attention to detail. ● Travel up to 10% domestically and internationally to support site visits, installations, retail openings, vendors, and project partners. QUALIFICATIONS: ● Professional degree in architecture (M.Arch or BArch) required. ● 2–4 years of professional experience in architecture, retail design, experiential design, environmental design, or a related discipline, with demonstrated experience contributing to projects from concept through execution. ● Portfolio demonstrating strong architectural and design thinking, spatial problem-solving, visual communication, technical development, and an ability to translate concepts into compelling, buildable physical environments. ● Strong understanding of architectural design fundamentals, including space planning, scale, proportion, circulation, materials, detailing, and the integration of functional and operational requirements. ● Proficiency with architectural design and 3D modeling tools, including Rhino; visualization tools, including KeyShot and Enscape; and presentation tools, including Figma. Experience with Adobe Creative Suite, including Photoshop. ● Demonstrated ability to independently develop, refine, and communicate design ideas through sketches, plans, elevations, diagrams, 3D models, renderings, and presentations. ● Strong visual sensibility and understanding of how materials, color, lighting, graphics, product, and architecture work together to create a cohesive and elevated physical experience. ● Experience producing design documentation and coordinating with vendors, fabricators, or external partners to translate design concepts into physical executions. ● Ability to balance creative design intent with practical considerations, including constructibility, cost, timelines, material selection, and operational needs. ● Exceptional attention to detail with a demonstrated ability to deliver accurate, thoughtful, and high-quality design work with increasing independence. ● Strong written and verbal communication skills, with the ability to clearly articulate design ideas, rationale, and recommendations to both creative and non-creative audiences. ● Collaborative mindset with experience working across creative, operational, and technical teams, incorporating feedback, and proactively contributing to problem-solving. ● Strong organizational, project management, and time management skills, with the ability to independently manage multiple priorities, meet deadlines, and communicate project status and risks. ● Self-motivated, resourceful, and comfortable navigating ambiguity, taking initiative, and adapting quickly in a fast-paced environment. ● Passion for architecture, retail and experiential design, consumer experiences, and the intersection of physical space, technology, fitness, and wellness. ● Strong commitment to embracing and leveraging AI tools in day-to-day tasks, identifying opportunities to improve design workflows and efficiency while ensuring AI-assisted work meets the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.  Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this. We are also developing a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. KEY RESPONSIBILITIES Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note:  We are not hiring for interpretability roles. KEY REQUIREMENTS Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Conceptual thinking and writing : You are familiar with prior work on AI scheming, from classic literature like Is Power-Seeking AI an Existential Risk? to modern research.  You have done enough deep thinking about the problem to generate some original ideas. Given vague and underspecified concepts, you come up with clarifying insights, clever ideas for experiments, and detailed plans. To explain your work, you can produce high-quality scientific writing, figures, blog posts, microsites, and tweet threads. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Project management experience: We are rapidly growing while executing high-quality research projects as fast as possible. You have previously managed strong ICs and can keep research projects on schedule despite unexpected delays or surprising experiment results. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the fundamental science team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the fundamental science team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest looking at one of our papers or blog posts published in the last 12 months. Then either (a) replicate/extend the result hands-on, or (b) identify a conceptual limitation and write a shovel-ready project plan that would address it. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI publicly committed to giving embedded evaluators an unprecedented level of access. Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  Apollo has taken steps toward becoming an embedded evaluator at frontier labs. We want to hire experienced senior researchers with a strong track record of getting things done to execute our embeddedevaluationplans. KEY RESPONSIBILITIES If embedded evaluations happen, you will be on one of the following teams: On-site embedded evaluators: This team will spend weeks or months embedded at a frontier AI lab, where they will conduct interviews, review the lab’s evidence, gather new evidence, and write a report. They will execute a playbook quickly and adapt to unforeseen circumstances. We hold our embedded evaluators to the highest standards, so you will likely have to first prove yourself within Apollo before being sent into an embedded campaign. That is, you will probably start on the applied research team to gain context on embedded evaluations. For this team, we prefer candidates with the right to work in the US who can be based in San Francisco. Applied researchers: This team will be the force-multiplier behind embedded evaluations. They will prepare on-site evaluators before they are embedded and support them while they are embedded. They will do the conceptual work to determine what evidence would support a safety case, and write the playbook for on-site evaluators to optimize how fast they can gather evidence. They will develop tooling for embedded evaluators, both ahead-of-time and urgently on demand. They will be the bridge connecting fundamental research and the on-site evaluators. For example, they might convert the methodology of “Measuring Reward-Seeking via Contrastive Belief Updates” into turnkey code and procedures. This team can work from any of our offices. Both are high-stakes teams. On-site embedded evaluators should be exceptionally strong at quick execution under high pressure, and very strong at planning and research. Applied researchers should be exceptionally strong at planning and research, and very strong at quick execution under high pressure. For both teams, we are excited for experienced candidates who have owned ambitious projects end-to-end under tight deadlines. KEY REQUIREMENTS We don’t require a formal background or industry experience and welcome self-taught candidates. We assess demonstrated ability, including through independent research and nontraditional paths; prior formal management titles are not required. Technical safety research judgment: You have a strong track record of producing or leading technically rigorous research relevant to understanding and reducing risks from advanced AI. Your background might include alignment, interpretability, model evaluations, control, adversarial ML, or post-training. You understand modern model training well enough to interrogate a lab’s methods and learn unfamiliar pipelines quickly. Deep experience with frontier RL or post-training is valuable but not required. Research leadership and delivery: You have led ambitious technical projects end-to-end under hard deadlines and managed or closely supervised strong individual contributors (ICs). You can set research priorities, delegate meaningful ownership, review technical work, and keep a team focused on the questions that matter most. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing for high-stakes audiences: You have experience writing about qualitative and quantitative findings for different stakeholders. You can take a pile of unorganized technical information and communicate it effectively to lab safety teams, lab leadership, governments, or the public. Strong understanding of scheming: You have a strong conceptual understanding of ideas like metagaming, evaluation awareness, deception, and reward-seeking. You are familiar with classic literature like Is Power-Seeking AI an Existential Risk? and modern research. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Professionalism: You can represent Apollo independently in sustained, high-stakes technical collaborations.  Your professional conduct is unimpeachable. You know when to tactfully resolve disagreements with partners and when to stand firm in negotiations, and you are excellent at both of those. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Prior embedded expertise: You have previous experience in professional services like auditing or consulting. You’ve learned lessons from working on-site with clients that will generalize to working with frontier AI labs. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We prefer on-site embedded evaluators to be permanently located in San Francisco. Applied researchers can work from any of our offices. We offer flexible working hours and WFH arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the science of scheming team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the science of scheming team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.  How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest (a) thinking about what embedded evaluators should investigate, (b) building a tool that would be useful for embedded evaluators and running it on suitable proxy data, and/or (c) writing a report based on mock findings.  Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Content Strategy Lead for Executive Programs, you will own what Anthropic brings to the table when we sit down with senior leaders from our most strategic customers. That covers Executive Briefings, Customer Advisory Boards, Executive Councils, and the other small-room gatherings where a C-level audience meets with our leaders, product teams, and researchers. You will set the content strategy across these programs, build the library of modules and the bench of speakers, and lead the team that keeps our content fresh as our models and products evolve. This role works cross-functionally with Product & Solutions Marketing, who owns positioning and messaging across industries and products, and customer programs which owns each program's operations, intake, and customer experience. You own the layer in between: turning Anthropic's product, research, and policy story into sessions built for an executive audience, deciding who is best placed to deliver them, and designing interactive formats and demos that work for customers building on the frontier. The right candidate has a product marketing or narrative background, has built content for C-level customer audiences at an enterprise technology company, and has managed a team. Key responsibilities Set and execute the content strategy across Executive Briefings, Customer Advisory Boards, Executive Councils, and other gatherings of strategic customers: the themes for the year, the narrative that connects them, and how content differs by program, audience, and purpose. Build and maintain an evergreen library of content modules that program leads and account teams can assemble into an agenda without starting from scratch. Modules span product and roadmap, research, safety and policy, industry and use-case sessions, demos, and discussion guides. Keep the library current. Set a refresh cadence tied to model and product launches, retire what is stale, maintain a pipeline of net-new content modules, and make sure nothing in front of a customer executive is out of date. Identify, recruit, develop and certify speakers from Anthropic's executive, product, research, and go-to-market teams. Maintain the cross-program roster, shape each speaker's session, and prepare them for the room. Design the experience, not only the presentation. Choose the format that fits the audience and the goal, whether that is a working session, a live demo, a conversation with a researcher, or a peer discussion among customers. Partner with program leads on agendas for the highest-priority engagements, tailoring modules to the customer's objectives. Set the standards and templates that let every other engagement meet the same bar. Work with Product & Solutions Marketing, Product, and Research so that executive-level content is ready when a launch happens, not weeks after. Capture what customers say in these rooms, including themes, objections, and requests. Route it to Product, Research, Marketing, and go-to-market leadership, and use it to improve the content. Measure what works, including session feedback, module usage, and speaker performance, and work with program leads to connect content to program outcomes. Hire, manage, and develop the team responsible for executive program content, and set its quality bar. Use Claude to scale the work: build workflows that tailor modules to a customer's industry and priorities so a customized session does not require a rebuild. Minimum qualifications Built content for C-level customer audiences in executive briefings, advisory boards, executive councils, or similar programs. Built a content system that other people rely on, such as a module library, a session catalog, or a speaker program, and kept it current through frequent product change. The technical fluency to work directly with researchers and engineers, understand what they have built, and explain it accurately to a business executive. Experience coaching senior executives and technical experts as speakers, including giving direct feedback on their material. Judgment about format: you know when a room needs a presentation, a demo, or a facilitated discussion, and you can design each one. Experience managing people, including hiring and developing a team. A high bar for writing. You can draft an executive session narrative yourself and improve one written by someone else. Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly. Preferred qualifications 12+ years in product marketing, executive content, or executive customer programs at a B2B technology company. You have owned positioning and messaging for a technical product and know how to adapt it for different audiences. Experience at a company where the product changes quickly and content has a short shelf life. Hands-on experience using AI tools to produce or tailor content. Experience facilitating executive discussions, not only preparing others to lead them. Worked with customers in regulated industries such as financial services, healthcare, or the public sector. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; Ireland; Romania; Cyprus; Malta; Canada Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Kraken's Market Surveillance function is responsible for detecting, investigating and reporting market abuse across our regulated trading venues, spanning spot crypto markets, crypto futures, tokenised equities, OTC markets and consumer trading. As our licensing footprint and product range grow, so does the scale and complexity of the surveillance programme behind them. We are hiring several Senior Compliance Associates to carry out day to day surveillance across our markets, investigate what that surveillance uncovers, and help us build the programme out as the business grows.   THE OPPORTUNITY - Review and disposition surveillance alerts across our regulated markets, and record the reasoning behind each decision clearly enough that someone else can follow it. - Carry out analytical reviews that begin with trade and order data rather than with a system-generated alert. - Investigate escalated behaviour end to end: gather the data, reconstruct what happened, and write it up for presentation to senior compliance stakeholders. - Assess referrals raised from across the business and externally, and take forward the ones that warrant it. - Draft suspicious transaction and order reports and suspicious activity reports. - Produce management information and regulatory reporting for the entities we cover. - Contribute to surveillance platform and tooling work, including bringing new products and data sources into scope and testing that detection behaves as intended. - Use AI and automation tools to speed up evidence-gathering and case reconstruction, with human judgement over the final call.   WHAT YOU BRING - At least 2 years experience in trade surveillance, market abuse investigation or trading conduct inside a regulated firm, such as an exchange, broker-dealer, trading venue, bank or comparable regulated trading business. - Working knowledge of the core market abuse typologies, for example spoofing, layering, wash trading, insider dealing, front running and ramping. - Experience reviewing and dispositioning surveillance alerts, and writing up what you found to a standard others can rely on. - Clear, evidence-first written communication. Your case files and escalations will sometimes be read by auditors and regulators without you in the room to explain them. - Comfort using generative AI and other automation tools to improve the speed and quality of investigative work, while maintaining the oversight that regulated casework requires. - Based in the UK, Ireland, Cyprus, Malta, Romania or Canada, with fluency in English.   NICE TO HAVES - Exposure to crypto-asset markets is welcomed but not required. - Hands-on use of a surveillance platform such as Scila, Nasdaq SMARTS, Eventus or NICE Actimize. - SQL or a similar query tool for evidence-gathering. - Experience drafting suspicious transaction and order reports or suspicious activity reports. - Electronic communications surveillance experience. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Bogota Are you a curious, proactive Law student eager to gain experience at a m ultinational before graduating? Join Betsson as a Legal Intern and turn your studies into hands-on experience, learning from legal professionals while supporting the business. The Wow Get a behind-the-scenes look at how a Legal team helps a global business move forward. You’ll have the opportunity to ask questions, contribute ideas, and build your confidence as you take your first steps in your legal career. A taster of what you will be involved with: Support the preparation, review, and administration of contracts, agreements, and legal documentation. Maintain accurate and organized legal records, ensuring documentation is easily accessible and up to date. Assist with contract tracking, renewals, and document management processes. Collaborate with internal stakeholders to gather information and documentation required for legal matters. Conduct legal research and summarize findings to support the team on various projects. Help monitor compliance with internal policies and legal requirements. Support the continuous improvement of legal processes, templates, and documentation practices. Provide general administrative and operational support to the Legal team as required. What we are looking for You are currently pursuing a Law degree, ideally in the final years of your studies. You have a strong interest in corporate, commercial, employment, or general business law. You are highly detail-oriented and take pride in producing accurate, high-quality work. You have a process-focused mindset and enjoy working in a structured and organized way. You are proactive, curious, and eager to learn from experienced professionals. You handle confidential information with professionalism and discretion. English language skills are considered an advantage. Intern modality 40 hours per week Nice-to-have Basic knowledge of contract management or legal documentation. Good working knowledge of Microsoft Office tools, particularly Word and Excel. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Customer Education team drives customer onboarding, adoption, and transformation at scale through on-demand and live educational experiences. Live programming has the opportunity to genuinely connect with customers in unique ways that cut through the noise to build relationships that drive adoption. As a result, we’re looking for someone who can make this program exceptional. As our Senior Customer Education Manager, Live Programs, you'll own the live training program end-to-end: designing the curriculum, building and delivering the content, running our flagship Fin Academy Live event, and supporting strategic customers alongside our Deployment Services team. This is a high-visibility role where you'll regularly present to users, admins and C-suite audiences, and shape how Fin shows up in the room. This role requires travel to support live events and customer engagements throughout the year. What will I be doing? Own the live education program end-to-end by setting the vision, roadmap, and success metrics for what we run, for whom, and to what outcome. Design and deliver engaging, live experiences including webinars, cohorts, in-person workshops, and our annual Fin Academy Live event in order to drive customer outcomes and retention. Partner with the Deployment Services team to define, create, and deliver tailored training to Enterprise customers, ensuring their teams are able to manage and scale Fin past the initial deployment. Partner with the Customer Education team to plan and maintain a holistic training curriculum that supports our customers’ and company’s objectives to provide a cohesive, end-to-end learning experience across all of Fin Academy’s offerings. Continually iterate on offerings to increase their impact on onboarding, feature adoption, and automation rate and to incorporate feedback from customers, partners, and cross-functional teams. What skills do I need? 8+ years of training experience with 3–5 years in a SaaS or tech environment; professional services and/or customer success experience required. Strong grasp of adult learning principles and best practices that underpin effective and supportive live training experiences. Proven content design skills with a track record of producing presentations and training that have clear information hierarchy, a relentless focus on driving customer action, and uses grounded examples to ensure concepts land. Able to understand and clearly communicate complex, technical concepts and the nuances of AI products. Strong executive presence with the ability to deliver compellingly to both large audiences and small groups. This includes an ability to present in high stakes situations with our largest customers and their senior management. Skilled at maintaining engagement with all audiences and adapting in the moment whether that's managing a derailed discussion, a difficult question, or an unengaged group. Superb program management skills, including stakeholder management, SME engagement, and end-to-end project management to lead large initiatives. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Customer Education team drives customer onboarding, adoption, and transformation at scale through on-demand and live educational experiences. Live programming has the opportunity to genuinely connect with customers in unique ways that cut through the noise to build relationships that drive adoption. As a result, we’re looking for someone who can make this program exceptional. As our Senior Customer Education Manager, Live Programs, you'll own the live training program end-to-end: designing the curriculum, building and delivering the content, running our flagship Fin Academy Live event, and supporting strategic customers alongside our Deployment Services team. This is a high-visibility role where you'll regularly present to users, admins and C-suite audiences, and shape how Fin shows up in the room. This role requires travel to support live events and customer engagements throughout the year. What will I be doing? Own the live education program end-to-end by setting the vision, roadmap, and success metrics for what we run, for whom, and to what outcome. Design and deliver engaging, live experiences including webinars, cohorts, in-person workshops, and our annual Fin Academy Live event in order to drive customer outcomes and retention. Partner with the Deployment Services team to define, create, and deliver tailored training to Enterprise customers, ensuring their teams are able to manage and scale Fin past the initial deployment. Partner with the Customer Education team to plan and maintain a holistic training curriculum that supports our customers’ and company’s objectives to provide a cohesive, end-to-end learning experience across all of Fin Academy’s offerings. Continually iterate on offerings to increase their impact on onboarding, feature adoption, and automation rate and to incorporate feedback from customers, partners, and cross-functional teams. What skills do I need? 8+ years of training experience with 3–5 years in a SaaS or tech environment; professional services and/or customer success experience required. Strong grasp of adult learning principles and best practices that underpin effective and supportive live training experiences. Proven content design skills with a track record of producing presentations and training that have clear information hierarchy, a relentless focus on driving customer action, and uses grounded examples to ensure concepts land. Able to understand and clearly communicate complex, technical concepts and the nuances of AI products. Strong executive presence with the ability to deliver compellingly to both large audiences and small groups. This includes an ability to present in high stakes situations with our largest customers and their senior management. Skilled at maintaining engagement with all audiences and adapting in the moment whether that's managing a derailed discussion, a difficult question, or an unengaged group. Superb program management skills, including stakeholder management, SME engagement, and end-to-end project management to lead large initiatives. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup. Responsibilities Electrical design & engineering Lead the electrical design of critical data center infrastructure across the US portfolio, including the utility interface and substation, site medium- and high-voltage distribution, generators, UPS, switchgear, transformers, busway, and grounding Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet our reliability and maintainability requirements while staying within budgetary targets Perform and validate engineering studies — including short-circuit, protection coordination, arc flash, load flow, and power quality analysis — and use the findings to steer topology, redundancy, equipment-selection, and protection-setting decisions Design and plan data center hall power distribution layouts for newly allocated spaces in coordination with the telecom, mechanical and cooling design Prefabrication & modular delivery Drive Anthropic's prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams on a productization roadmap that accelerates deployment and reduces onsite labor Design for offsite manufacture and onsite assembly: define the interfaces between prefabricated components and site-built work, and the electrical interfaces and switchover points for temporary-to-permanent power sequencing Drive standardization of modular electrical designs across sites to compress deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations Partner, vendor & utility coordination Work with regional vendors and manufacturers to specify and qualify major electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk Work with utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to define site utility service and interconnection requirements, and with local authorities having jurisdiction to ensure designs comply with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, UL/ANSI, and local requirements Work with Anthropic's hardware and compute teams to translate accelerator power, density, and power-quality requirements into electrical design criteria, and keep the reference architecture aligned with upcoming hardware generations Present findings and design positions to internal stakeholders, build partners, and operations teams through clear reports and presentations, and defend them under challenge Design review & quality Review and approve electrical design packages, calculations, submittals, and shop drawings from build partners and MEP consultants; track clarifications, deviations, and exceptions against the basis of design, and hold the line on capacity, reliability, maintainability, and safety requirements Perform technical due diligence and design reviews on data center developer and partner projects — evaluating their electrical single-lines, equipment selections, studies, and specifications against Anthropic's reliability, maintainability, and capacity requirements Define project electrical scope and serve as the design authority on RFIs and field changes that affect design intent during procurement and construction Support factory acceptance testing, commissioning, and startup — reviewing test procedures and results against design intent, participating on site for key milestones, and closing as-built changes back into the reference design Manage concurrent projects across multiple geographies Continuously improve Anthropic's internal electrical design standards, tooling, and delivery practices, and act as a technical leader within the engineering group and across the internal and external teams that support our data centers You may be a good fit if you Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers Strong candidates may also have Experience owning the electrical basis of design or reference architecture for a hyperscale or large colocation program, and driving its adoption across multiple sites or by external build partners A track record building modular prefabricated products in the electrical or mechanical scope of a data center, and driving designs toward offsite manufacturing Background in medium-/high-voltage distribution, on-site generation, or battery energy storage system (BESS) integration, and how those shape the building-side electrical design Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Lithuania Workplace: hybrid About the Client Our client is a payment services provider offering online payment solutions to businesses internationally. Its work includes merchant onboarding and ongoing customer due diligence. Role Overview Take ownership of complex KYC/KYB reviews and help shape risk-based decisions on merchant relationships. You will investigate higher-risk cases, assess the evidence behind corporate structures, and work closely with the MLRO to reach clear, documented conclusions. Key Responsibilities Review KYC/KYB files prepared by the onboarding team for completeness, accuracy, and supporting evidence. Conduct Enhanced Due Diligence on high-risk merchants, analyse ownership structures across jurisdictions, and identify Ultimate Beneficial Owners. Assess Source of Funds and Source of Wealth documentation. Perform in-depth sanctions, PEP, and adverse media screening. Evaluate corporate client risk, including processing volumes, chargeback exposure, and high-risk business models. Prepare structured conclusions and recommendations for the MLRO, escalating cases when needed. Work with onboarding colleagues to resolve gaps in client files and improve due diligence quality. Recommend restrictions or termination of client relationships when risks cannot be adequately mitigated. Requirements At least 2-3 years of hands-on AML, KYC/KYB, and EDD experience in payments or banking. Experience with merchant acquiring and high-risk merchants is a strong advantage. Practical experience reviewing corporate clients and independently analysing complex or higher-risk cases. Strong understanding of AML/CTF requirements, EU sanctions regimes, and UBO identification. Fluent English. Based in Lithuania and available to work hybrid from the Vilnius office. Key Soft Skills Ability to assess evidence critically, identify red flags, and reach well-reasoned, documented conclusions. Ability to produce clear compliance reports. A proactive approach, sound judgement, and ownership of your work. What We Offer A senior specialist role with ownership of complex due diligence cases. Close collaboration with the MLRO and an international team. Opportunities for professional development in AML and compliance. Hybrid working in Vilnius. Compensation based on experience and expertise.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible