Вакансии

Location: Remote (Ukraine) [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/b1f66826-c3f7-487b-8301-afa39475d583/G_LINK_OWN_COVER_1.png] About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 400 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project: Testora is a self-discovery app that helps users explore and analyze their personality, intelligence, relationships, and career strengths through engaging tests. The app offers personalized challenges, progress reports, and habit tracking, making Testora your go-to tool for self-awareness, stronger relationships, and personal growth. Responsibilities - Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy. - Translate stakeholders’ business questions into concrete metrics and analytical tasks; deliver decisions, not raw numbers. - Build and maintain dashboards, reports, and key metrics to support data-driven decision-making. - Build and validate LTV predictions for the web funnel, including early/predicted LTV on short cohort history. - Design event taxonomy and Amplitude dashboards for specific PMM, PM, and UAM requests. - Analyze the web funnel: diagnose drop-offs between steps, assess the impact of changes on conversion and monetization. - Compute product unit economics: ARPU, retention, payback, and ROAS tied to UA data. Requirements - 3+ years as a Product Analyst. - Strong SQL: cohort analysis, retention, revenue aggregations. - Hands-on LTV/pLTV experience: understands the methods (cohort extrapolation, survival, ML regression), their limitations with small data, and how to validate predictions. - Amplitude: dashboard building, event taxonomy. - Understanding of mobile/web subscription-product metrics and UA logic (CPI, ROAS, ARPU, payback). - A/B testing methodology. - Hands-on experience with BI tools such as Tableau or Power BI. - Effective communication and presentation skills to convey analysis results clearly and compellingly. Would be a plus - Python skills (pandas, data visualization, statistics) for data manipulation and analysis. - Experience with MMP data (AppsFlyer/Adjust). - Hands-on experience with subscription products. - Data engineering. - Direct experience working with a UA team. Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs

Responsibilities: — Work on Document AI tasks including parsing complex documents and scans — Develop Computer Vision solutions for recognizing floor plans and technical drawings Requirements: — Hands-on experience with Document AI — Hands-on experience with Computer Vision Benefits: — Remote work with 6-hour overlap required with Canada — Full-time position on a long-term project — Immediate start Tech stack includes Python, PyMuPDF, OCR technologies (AWS Textract / Tesseract), Structured LLM Output, OpenCV, Shapely (geometry/polygons), and SVG generation.

Hiring a Retention Agent, English desk right now.

Описание вакансии We are looking for an exceptional Senior Technical Lead / Solution Architect who combines deep technical expertise, outstanding English communication skills, and proven engineering leadership.

Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Alanya, Türkiye; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Ankara, Türkiye; Almería, Spain; Antalya, Türkiye; Antipolo, Philippines; Ariana, Tunisia; Aracaju, Brazil; Antwerp, Belgium; Arequipa, Peru; Asenovgrad, Bulgaria; Ashgabat, Turkmenistan; Asunción, Paraguay; Auckland, New Zealand; Augsburg, Germany; Austin, United States; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Badgastein, Austria; Bamberg, Germany; Basel, Switzerland; Batumi, Georgia; Batam, Indonesia; Bedford, United Kingdom; Belgrade, Serbia; Bengaluru, India; Bern, Switzerland; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Bray, Ireland; Brixen, Italy; Seoul, South Korea; Bydgoszcz, Poland; Caen, France; Čačak, Serbia; Caieiras, Brazil; Cairo, Egypt; Campinas, Brazil; Carapicuiba, Brazil; Capiatá, Paraguay; Cascais, Portugal; Catania, Italy; Cebu City, Philippines; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Chiclayo, Peru; Chișinău, Moldova; Christchurch, New Zealand; Cookstown, United Kingdom; Conlig, United Kingdom; Córdoba, Argentina; Cork, Ireland; Cotia, Brazil; Craiova, Romania; Crete, Greece; Cusco, Peru; Daegu, South Korea; Damascus, Syria; Darmstadt, Germany; Debrecen, Hungary; Derby, United Kingdom; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Essen, Germany; Faro, Portugal; Frankfurt, Germany; Fortaleza, Brazil; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; George Town, Malaysia; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Gurugram, India; Gyumri, Armenia; Hamilton, New Zealand; Haiphong, Vietnam; Hamburg, Germany; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Johannesburg, South Africa; Kandy, Sri Lanka; Kano, Nigeria; Karpacz, Poland; Kardzali, Bulgaria; Karachi, Pakistan; Kaunas, Lithuania; Katowice, Poland; Kerpen, Germany; Khon Kaen, Thailand; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Konak, Türkiye; Klang, Malaysia; Konya, Türkiye; Kraljevo, Serbia; Kragujevac, Serbia; Krasnoyarsk, Russia; Krasnodar, Russia; Krushevo, North Macedonia; Ksamil, Albania; Kyiv, Ukraine; Kumanovo, North Macedonia; Kufstein, Austria; Kutaisi, Georgia; Kyustendil, Bulgaria; La Chorrera, Panama; La Plata, Argentina; Larissa, Greece; Larnaca, Cyprus; Lankaran, Azerbaijan; Leeds, United Kingdom; Nicosia, Cyprus; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Leoben, Austria; Leon, Mexico; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Luang Prabang, Laos; Madrid, Spain; Maceió, Brazil; Maastricht, Netherlands; Lyon, France; Lviv, Ukraine; Malacca, Malaysia; Málaga, Spain; Manaus, Brazil; Manchester, United Kingdom; Manila, Philippines; Maracaibo, Venezuela; Marbella, Spain; Maribor, Slovenia; Marrakech, Morocco; Marseille, France; Medellín, Colombia; Melbourne, Australia; Milpitas, United States; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Mumbai, India; Munich, Germany; Nairobi, Kenya; Namangan, Uzbekistan; Newcastle upon Tyne, United Kingdom; New York, United States; New Taipei City, Taiwan; Nice, France; Niš, Serbia; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ohrid, North Macedonia; Ostrava, Czechia; Osaka, Japan; Omsk, Russia; Panama City, Panama; Palermo, Italy; Paphos, Cyprus; Pasto, Colombia; Passau, Germany; Patras, Greece; Pattaya City, Thailand; Pécs, Hungary; Pereira, Colombia; Petaling Jaya, Malaysia; Pforzheim, Germany; Phoenix, United States; Phu Quoc, Vietnam; Phuket, Thailand; Pilsen, Czechia; Porto, Portugal; Porto Alegre, Brazil; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Quezon City, Philippines; Puente Alto, Chile; Rangpur, Bangladesh; Rawalpindi, Pakistan; Recife, Brazil; Regensburg, Germany; Rennes, France; Reus, Spain; Riga, Latvia; Rosenheim, Germany; Rotterdam, Netherlands; Ruhr, Germany; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Shanghai, China; Sheffield, United Kingdom; Shenzhen, China; Sibiu, Romania; Sidon, Lebanon; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Taichung City, Taiwan; Taipei City, Taiwan; Tainan City, Taiwan; Tartu, Estonia; Taoyuan City, Taiwan; Tbilisi, Georgia; Tel Aviv-Yafo, Israel; Tehran, Iran; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Tokyo, Japan; Tijuana, Mexico; Toulouse, France; Tripoli, Lebanon; Trujillo, Peru; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Vĩnh Phúc, Vietnam; Washington, United States; Wiesbaden, Germany; Würzburg, Germany; Xi'An, China; Yerevan, Armenia; Yokohama, Japan; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Brno, Czechia; Adelaide, Australia; Baku, Azerbaijan; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Malmö, Sweden; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Abu Dhabi, United Arab Emirates; Alexandria, Egypt; Avignon, France; Bắc Ninh, Vietnam; Baghdad, Iraq; Bali, Indonesia; Bangkok, Thailand; Bangor, United Kingdom; Barranquilla, Colombia; Bayreuth, Germany; Beijing, China; Beirut, Lebanon; Belém, Brazil; Benin City, Nigeria; Binh Duong, Vietnam; Boston, United States; Newport, United Kingdom; Los Angeles, United States; San Francisco, United States Workplace: fully David Kennedy Recruitment is working with a fast-growing AI technology company behind an AI companionship platform that is seeking to onboard a Mid/Senior AI Cinematic Video Creator to join their team. The successful candidate will be deeply embedded in generative video workflows, independently creating high-quality, narrative-driven long-form content from concept to final output using AI-first pipelines. The content includes explicit adult material, so candidates must be fully comfortable working with it. Location: Worldwide, Remote Employment type: B2B contract Remuneration: Competitive salary dependent on experience DUTIES AND RESPONSIBILITIES: Conceptualise scripts based on current production needs, centered on the company’s existing AI characters Create narrative-driven long-form video content, including stylised and explicit NSFW visuals, with a strong focus on storytelling, atmosphere and visual coherence Own end-to-end AI video production, from ideation and prompting through generation, editing and post-production Build, customise and optimise node-based ComfyUI workflows for image and video generation Use tools such as Stable Diffusion (AUTOMATIC1111), ComfyUI, Runway and other AI video platforms to produce high-quality sequences Maintain consistent character appearance, style and scene continuity across longer narratives Integrate motion graphics and colour correction to deliver cohesive final outputs Experiment quickly with new AI models and techniques, and share skills with the team Follow the Content Lead’s creative direction while keeping a high degree of autonomy in execution and technical decisions Continuously refine workflows for efficiency, scalability and output quality REQUIREMENTS: 4–6+ years of experience in video production, VFX or digital art, with a strong portfolio that includes AI-driven video work Proven experience with ComfyUI, including building and managing complex node-based workflows Strong proficiency in Stable Diffusion / AUTOMATIC1111, including advanced prompting, trained LoRAs, refining, upscaling and inpainting Hands-on experience with the latest AI video tools and models (e.g. Kling, Seedance, Happy Horse) Solid understanding of AI image and video generation pipelines, including prompting, batching, consistency techniques and post-processing Experience with Premiere Pro, After Effects or similar for final assembly and polish Strong grasp of visual storytelling, pacing, composition and cinematic language Ability to keep character and scene consistency across AI-generated sequences High ownership, an experimental mindset and fast iteration cycles Fluent English and strong communication skills Fully comfortable working with uncensored models and explicit adult content Advantages Experience in AI-native storytelling or filmmaking Background in 3D, VFX, technical art or colour grading Familiarity with training and customising models (LoRAs, embeddings, fine-tuning) Prior experience in adult, dating or adjacent creative industries BENEFITS: Fully remote working from Europe B2B contract preferred, full-time Opportunity to own safety in a new, high-impact role on a product with 50M+ users And many more!!!

Location: Abu Dhabi, UAE About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Position Description We are looking for a highly motivated Partnerships Specialist to join our global team. This role focuses on co-marketing and brand collaborations with consumer-facing brands and Web3 projects , with the goal of driving user engagement and product visibility for the Bybit Card and related payment initiatives. You will support the execution of integrated campaigns across product, content, event, and social channels, working cross-functionally with internal teams and external partners. Key Responsibilities Marketing Execution Support Collaborate with the internal marketing team to translate partnership plans into actionable deliverables. Assist in drafting compelling copy and content proposals, and follow through on campaign implementation to ensure alignment with both internal goals and partner expectations. Monitor campaign performance and work with internal teams to generate post-campaign analysis and insights. Partner Coordination & Follow-up Act as the main point of contact during the execution phase of partnerships. Proactively follow up with external partners to ensure timely delivery, alignment on joint initiatives, and smooth collaboration. Internal & External Communication Serve as a liaison between internal stakeholders (marketing, product, creative) and external partners. Ensure clarity of deliverables, expectations, and timelines through clear and professional communication. Event & Activation Collaboration Support event-related partnership initiatives, including coordination with external vendors, logistics follow-up, and on-site activation if needed. Assist in localizing activations to suit regional markets and partner audiences. Experience in event marketing or production is a plus. Marketing Ideation & Strategy Participate in brainstorming sessions to generate creative marketing ideas tailored to different partners and product campaigns. Contribute to the localization and execution of marketing strategies that match each partner’s audience and positioning. Stay updated on industry trends (Web3, consumer, pop culture, entertainment, lifestyle) to proactively pitch new collaboration opportunities. Requirements 1–3 years of relevant experience in brand partnerships, marketing execution, campaign operations, or account/project management. Experience with consumer brands, lifestyle marketing, or Web3 partnerships is a strong plus. Excellent project management and coordination skills—able to manage timelines, stakeholders, and multiple moving parts in parallel. Strong written and verbal communication skills in English, with the ability to present ideas clearly and professionally. Additional languages are a bonus. A creative mindset with a strong sense of branding, storytelling, and audience resonance — you understand what makes a partnership campaign engaging and impactful. Comfortable working across cross-functional teams (marketing, creative, product, legal, etc.) and managing relationships with external partners. Highly organized and detail-oriented, with a proactive approach to anticipating problems and driving solutions. Familiarity with campaign performance metrics (e.g., CTR, engagement rate, conversions) and a willingness to learn basic data interpretation. Adaptable, curious, and eager to learn in a fast-paced, high-growth environment. A genuine interest in Web3, fintech, digital lifestyle, or cultural trends is a plus. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Limassol, Cyprus About us We are an international financial group founded in 2016, regulated by CySEC and the Central Bank of Cyprus, combining a family-office approach with the infrastructure of a modern financial institution. The Group manages over €350M in assets and operates across Cyprus, the UAE, Switzerland, and the United States. We are expanding our Client Acquisition team and are looking for a Private Wealth Sales Manager to engage with high-net-worth and ultra-high-net-worth individuals. This role offers a clear path into Relationship Management and long-term career growth within wealth management and private banking. What you will do Proactively identify, approach, and qualify potential clients among HNW/UHNW individuals, entrepreneurs, business owners, and family offices Conduct initial meetings and present our ecosystem, including wealth management, digital assets, and corporate solutions Understand client needs, investment objectives, and risk profiles, and pass qualified leads to Relationship Managers Develop and maintain long-term, trust-based client relationships throughout extended sales cycles Maintain accurate CRM records and closely collaborate with internal teams to ensure a smooth client journey and onboarding process Requirements 1.Client-Facing Experience Experience in Business Development, Sales, Relationship Management, Client Acquisition, or similar client-facing roles within financial services. Experience working with affluent or HNW client segments is advantageous; however, we also welcome commercially driven professionals from related financial services backgrounds. 2. Financial Literacy & Investment Knowledge Good understanding of financial markets and basic investment principles is desirable. A background in finance, economics, banking, or related fields will be considered a strong advantage. Ability to understand client investment goals and confidently discuss financial markets, investment solutions, and different investment approaches with prospective clients. 3. Languages Fluent Russian and English (written and spoken) 4. Soft Skills & Personal Attributes High emotional intelligence and client sensitivity Strong communication and interpersonal skills with the ability to build trust-based    relationships with high-net-worth clients Self-starter mindset with strong ownership and independence Results-oriented mindset with a well-organized approach Resilience and ability to operate effectively in long and complex sales cycles Strong ethical standards and compliance awareness 5. Eligibility Right to work in Cyprus or willingness to relocate to Cyprus. Nice to Have CySEC certification (or willingness to obtain it) Existing network of HNW/UHNW individuals, entrepreneurs, family offices, or private banking professionals is a strong advantage Exposure to digital assets or alternative investments Familiarity with CRM systems and structured sales processes Benefits Competitive base salary complemented by a performance-driven uncapped bonus scheme. Exposure to international private clients across Cyprus, the UAE, Switzerland, and the United States. Paid CySEC certification and support for professional development (e.g. CFA and other qualifications) Participation in client and industry events Flexible working model and team-oriented culture Clear career path: Client Acquisition → Relationship Manager → Senior RM International team of 100+ professionals across 11 countries with a strong collaborative culture Opportunity to build a long-term career in wealth management and private banking Access to experienced investment professionals and mentorship Fast-paced professional growth within a regulated international group

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

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 Pacing is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean. We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments. The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives. Key responsibilities Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop Use Claude to build automations to allow teams to have broader and deeper impact Minimum qualifications Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome Sound judgment and discretion with confidential and sensitive information Preferred qualifications Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations Experience managing published commitments or high-visibility public releases Experience building a program from zero and reshaping it as the strategy evolved 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: $290,000 — $365,000 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic gives independent external evaluators access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem. You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders. You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides. Key responsibilities Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well Minimum qualifications Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers Sound judgment and discretion with confidential and sensitive information 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: $290,000 — $365,000 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: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Between a conversation and a model sit the formats and tokenizers that every part of our stack relies on. You will help own them, and the tooling around them, so that training, evaluation and production all speak exactly the same language. You will work across the entire stack, spanning pretraining, post-training and deployment, and your decisions will reach every model we ship. WHAT YOU WILL DO - Design, build and maintain core libraries for tokenization and model interfaces. - Evolve our formats and tokenizers as models and use cases change. - Turn research needs into robust, shared tooling. WHAT WE'RE LOOKING FOR - Strong software engineering background, with excellent Python. - Excellent understanding of tokenizers: BPE and other tokenization algorithms, special tokens, chat templates, and tokenizer training; ideally hands-on experience with libraries such as tiktoken or Hugging Face tokenizers. - Experience building production-grade libraries used by many people. - A taste for correctness and attention to detail. - Good knowledge of how LLMs are trained and served. - Clear communication, low ego, and a collaborative mindset. - Nice to have - Open-source maintenance experience. - Experience with inference engines. LOCATION AND REMOTE This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office for the first week of their onboarding (accommodation and travelling covered), then at least 4 days per month WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. Are you the person who keeps a high-volume interview engine running smoothly? We're looking for a Manager, Recruiting Coordination to lead and grow our Recruiting Coordinator team across San Francisco and New York. You'll own how coordination runs day to day: who supports which recruiters, the scheduling SLAs and support bar for every interview and onsite, and how the team scales as hiring grows. Our coordinators support multiple recruiters and hiring teams, handling a high volume of mostly technical interview loops. They partner with executive assistants on confidential roles, and support the opening of jobs and the building of interview plans for all roles. You'll make sure that pace stays sustainable for the team and smooth for every candidate. You'll also take on project work as a part of Recruiting Operations to improve how recruiting operations, and recruiting overall, runs at Baseten. Take a look at this recent announcement to get a sense of how quickly Baseten is growing: - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ RESPONSIBILITIES - Manage, coach, and develop a team of Recruiting Coordinators across San Francisco and New York, including 1:1s, goal setting, regular feedback, and performance conversations. - Forecast coordinator headcount from scheduling volume and hiring plans. to hire, onboard, and grow coordinators: own the RC interview process, ramp new hires through a structured plan, and build career paths into senior RC, recruiting, or operations roles. - Assign coordinators to support talent profiles and hiring teams, rebalance coverage as hiring volume grows, and monitor daily coverage so scheduling and onsites never drop. - Partner with Recruiting Operations to turn coordinator, candidate, and interviewer pain points into automation and AI opportunities, and identify, build and lead process, reporting, and tooling projects to improve outcomes across the funnel. - Define what the coordination team owns, maintain the RC handbook, and represent coordination in recruiting leadership discussions. - Own the process for opening and publishing jobs, and keep interview plans, hiring teams, and scheduling data in our ATS accurate. - Own the SLAs and service bar for all scheduling, and monitor interviewer load and availability rules, from screens and interview loops to debriefs, sell calls, and reference calls. - Ensure every onsite in San Francisco and New York runs smoothly, including candidate travel and related budgets. REQUIREMENTS - 4+ years of experience in recruiting or recruiting operations, with 2+ years managing recruiting coordinators. - Experience using scheduling and recruiting data and metrics to drive capacity, quality, and staffing decisions. - Experience coordinating with executives and supporting confidential hiring processes. - Experience hiring, onboarding, and developing coordinators. NICE TO HAVE - Coordination experience at a fast-growing tech company, ideally supporting technical interview loops. - Experience leading a team across multiple offices, locally and globally. - Experience managing contract or agency coordination support. - Experience using AI and automation to remove routine coordination work. - Exposure to recruiting operations or program management. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process. This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. RESPONSIBILITIES - Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve - Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done - Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards - Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics - Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan - Track partnership performance after signing - Own the partnerships forecast and its contribution to the annual plan - Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap REQUIREMENTS - 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking - Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data - Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin - Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions - Comfortable building from scratch and making decisions with incomplete data - Strong attention to detail with a bias toward ownership and execution - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs - Experience at a usage-based company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE You will own the commercial structuring and economics of Baseten's highest-priority customer deals end to end. You will play a critical role in scaling our revenue by serving as a trusted partner to Sales, Finance, and Legal on complex and non-standard deals. You'll help our products reach customers quickly while maintaining the financial discipline and risk management that a fast-scaling AI company requires. This role is ideal for someone who has excellent commercial judgment, is highly analytical, and wants to build the deal strategy function from the ground up at a hypergrowth company. You'll help define how the world's leading AI companies buy inference and directly impact our most strategic customer relationships. THE RESPONSIBILITIES - Deal Structuring: Partner with Sales to structure deals that meet customer needs while protecting Baseten's financial and strategic interests, spanning pricing, discounts, commitments, and contract terms. - Customer Negotiations: Join customer conversations and represent Baseten with senior finance and procurement stakeholders, bringing pricing and commercial depth so the account team can stay focused on the relationship. - Financial Analysis: Conduct deal profitability, margin, and discount impact analysis, and translate the results into clear, data-driven recommendations for leadership. - Deal Review and Approvals: Review enterprise deals that fall outside standard parameters, and own the approval thresholds and escalation paths that keep decisions moving quickly. - Cross-Functional Execution: Partner with Legal, Revenue Accounting, RevOps, and Billing to ensure every deal is contracted, booked, and billed accurately. - Pricing Insights: Track discounting, win rates, and deal outcomes across the book, and use those insights to shape pricing, packaging, and commercial policy. - Process and Systems: Build the playbooks, guidelines, and workflows that let our deal process scale with the business. Use AI and automation extensively to keep the function fast and lean as deal volume grows. THE REQUIREMENTS - 8+ years of experience in deal strategy, pricing, strategic finance, investing, and/or revenue operations at a high-growth technology company - Proven track record of structuring and negotiating complex enterprise deals, especially in a consumption-based environment - Strong commercial judgment, with the presence to negotiate directly with customers and represent Baseten externally - Excellent system design, financial modeling, and analytical skills - Ability to earn the trust of sales teams and influence senior leaders across Sales, Finance, and Legal - Proficiency in CPQ/CRM tools and a strong understanding of how deal terms affect billing and revenue recognition - Excellent written and verbal communication, with the ability to turn complex deal structures into clear recommendations for executives STRONG CANDIDATES MAY ALSO HAVE - Experience at an AI, cloud infrastructure, or data platform company - Familiarity with GPU and compute economics - Experience building a deal desk or deal strategy function from scratch - Prior quantitative experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Responsibilities: — Design, deploy, and operate production AI infrastructure for customer workloads. Requirements: — Experience with machine learning, Kubernetes, Java, Spark, IAM, Infrastructure-as-Code, Go, Terraform, networking, distributed computing, GCP, Python, GitOps, Dask, DevOps, AWS, Helm, CI/CD, and Security. Benefits: — Salary range $250,000 - $275,000.

Responsibilities: — Analyze safety, requirements, and system behavior. Requirements: — Knowledge or experience with STPA, statistics, ISO 26262, C#, UML, safety engineering, system engineering, Python, SysML, FMEA, and fault tree analysis. Benefits: — Hybrid work format in Mountain View, CA, and Pittsburgh, PA. Salary range from $108,160 to $135,200 per year.

Responsibilities: — Build and evolve developer-facing APIs, SDKs, documentation, and agent tools. Requirements: — Experience with developer platforms and SDKs. — Proficiency in Python and TypeScript. — Knowledge of REST APIs, versioning, rate limiting, and CLI tools. Benefits: — Remote work opportunity. — Competitive salary range from $215,000 to $285,000. The role involves working on developer products to enhance APIs and tools for developers, focusing on backend technologies and developer experience.