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Location: United Kingdom Workplace: Remote Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.   What you’ll do here - Build and close a strong pipeline of enterprise accounts with large engineering organizations - Generate qualified opportunities through outbound prospecting and inbound leads - Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction - Collaborate with Sales Engineers to deliver a thorough technical evaluation - Partner with decision-makers and technical stakeholders throughout the sales cycle - Travel as needed to support deals and customer relationships What we’re looking for - 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies) - 3+ years selling into Fortune 500 companies - Experience engaging with software engineering leaders and technical decision-makers - Understanding of DevOps, CI/CD, platform engineering, and developer tools - Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc) - Comfortable with outbound motion and partnering with Sales Engineers - Track record of exceeding quota and pipeline goals - Strong communication skills - written, verbal, and in presentations - Familiarity with different sales cycles (startup, midsize, enterprise) - Creative, analytical, and highly self-motivated - Ability to travel up to 15% Bonus tacos if you have - A technical background or meaningful experience with open source software - Curiosity about emerging AI workflows, developer tools, and general tech trends About Coder Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.   Interview process We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.   AI use during the interview process As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.   Coder is a proud Equal Opportunity Employer We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We are looking for Render's first Forward Deployed Engineer to work hands-on with our most strategic customers. Our largest contracts and fastest-growing AI startups are scaling on Render, and this role provides them with a dedicated, concierge-level technical partnership. You will balance two motions: white-glove engagement with our top accounts, where you work closely with the customer's engineering team as a trusted technical partner, and scoped onboarding intensives that get high-growth startups confidently building on the platform. As the first FDE in our Field Engineering organization, you will define the playbook for this function, prove the model, and shape how it scales. WHAT YOU'LL DO - Work closely with Render's top accounts as their dedicated technical partner, providing concierge service across architecture reviews, migration planning, and hands-on delivery. - Run scoped onboarding intensives for high-growth startups, from intake and success criteria through hands-on-keyboard execution. - Lead the database side of customer engagements, including Postgres architecture, performance tuning, and complex data migrations from Heroku, AWS, and other cloud providers. - Drive activation and expansion in strategic accounts: turn major credit grants into durable production adoption, surface expansion signals from your technical work, and partner with the account team to convert them into revenue. - Own the ongoing technical relationship for your accounts: proactive architecture and health reviews, collaborative roadmap sessions, incident follow-up and RCA, and escalation point for hard technical problems, working closely with the account team. - Build the FDE playbook: qualification criteria, engagement templates, success metrics, and reference architectures that make the program repeatable. - Act as a high-signal feedback channel to product and engineering, translating customer friction into prioritized product input. - Partner with Account Managers and Customer Engineers to ensure smooth handoffs after each engagement and durable long-term coverage. WHAT WE'RE LOOKING FOR - 8+ years in a hands-on, customer-facing engineering role: forward deployed, solutions, customer, or professional services engineering. - Strong software engineering fundamentals; you can write production-quality code and work hands-on-keyboard inside a customer's codebase. - Deep experience with cloud infrastructure: containers, CI/CD, networking, autoscaling, and running real workloads in production. - Deep Postgres and database expertise: schema design, performance tuning, replication, and production data migrations. Our largest engagements consistently turn on this skill set. - AI fluency: you work with AI tools daily to accelerate your own delivery, and you understand LLM application architectures well enough to guide the teams building them. - Excellent communication with everyone from startup founders to enterprise platform teams, including executive-level conversations. - Self-directed and comfortable with ambiguity; you can stand up a new function without an existing playbook. - Commercial instincts: you understand how technical wins connect to expansion, renewal, and revenue. NICE-TO-HAVES - Migration experience from Heroku, AWS, or other clouds onto modern platforms. - Hands-on experience shipping AI and LLM applications (RAG pipelines, agent frameworks, inference workloads); many of our fastest-growing accounts are AI-native. - Prior experience as the first hire in a role or a founding member of a new program. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. 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. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: New York City Workplace: OnSite About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team/Role: This is intended to be an entry level role for new grads/early career professionals. As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role. Responsibilities: - Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value. - Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals. - Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion. - Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem. - Build processes and capture knowledge to scale and automate support, success, and outreach initiatives. - Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations. - Provide feedback and contribute as a developer to all elements of the customer experience—from tooling and integrations to documentation and internal workflows. Requirements: - BS in Computer Science or a related technical field or equivalent experience. - Strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations. - Ability to communicate complex technical concepts to both technical and non-technical audiences. - Familiarity with the concepts of embeddings, similarity search, recommendation systems, and RAG. - Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions. - Proficiency in one or more popular programming languages (Python, JavaScript). Bonus Points: - Experience with Datadog or similar monitoring tools. - Experience working with cloud platforms (AWS, GCP, Azure). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: Remote - US About the Job: At LaunchDarkly, our Product-Led Growth (PLG) motion is evolving rapidly. We are looking for an experienced, highly analytical, and strategic Senior Growth Marketing Analyst to help us decode the digital body language of our prospects and users. In this role, you will leverage wide-ranging experience across GTM disciplines to help build, optimize, and scale our PLG engines. Reporting to the Principal Growth Marketer or Director of Growth Marketing, you will resolve complex data and operational issues requiring an in-depth evaluation of variable factors mapping user and account signals across channels, establishing the "next best action" for high-value leads, and optimizing conversion pathways. You will act with a high degree of independence to determine methods and procedures on new assignments, collaborating across Marketing, Product, RevOps, and Data engineering teams to drive function-impacting results. Responsibilities: Data & Signal Strategy Audit, track, and categorize 1st-party, 3rd-party (e.g., 6sense, GitHub), and product/marketing signals across target contacts and enterprise accounts. Evaluate variable factors and intangible data nuances to distinguish technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations). Partner cross-functionally with Data Engineering and RevOps to clean, enrich, and continuously source high-intent signal data. Feed signal combinations, recency, and frequency into predictive models to refine lead routing and account prioritization. Activation Strategy Use signal combinations to define the right "next best action" for accounts and individual users based on their segment, ICP fit, and stage (e.g., prospect vs. existing customer). Map and trigger appropriate activation responses ranging from personalized marketing content to white-glove outreach from Product Advocates or automated handoffs to SDRs and Enterprise AEs. Operational Motion & Cross-Functional Integration Act as the primary business lead to cross-functionally implement, refine, and maintain activation workflows across Marketing, Product, Sales Ops, and Data teams. Apply an understanding of the interrelationships between different disciplines to navigate complex cross-team dependencies and drive strategic alignment. Help define and iterate on sales-facing tools (such as a "single pane of glass" interface) that surface product affinity, app usage, intent signals, and account fit to enable sales execution. Maintain structured feedback loops with Product Advocates, SDRs, and sales reps to assess lead quality and continuously refine signal logic. Conversion Rate Optimization (CRO) & Experimentation Analyze and optimize conversion rates across the end-to-end flow—from initial signal capture to activation, handoff, and pipeline generation. Independently design and run growth experiments (in-product onboarding adjustments, messaging, routing logic) to maximize engagement and move accounts through the buyer journey. System Administration & Technical Tooling Manage technical configuration, tracking setups, and ongoing maintenance for core data and analytics platforms (e.g., GA360/GA4, customer data platforms, product analytics). Maintain rigorous data flow standards and proper tag/tracking setups across web properties, marketing tools, and product analytics environments. Qualifications: Experience: Minimum of 8–10 years of related experience in growth marketing, marketing analytics, revenue operations, or PLG strategy within a high-growth B2B SaaS environment. Education: Bachelor’s degree in Business, Marketing, Data Analytics, Computer Science, or a related field (or equivalent practical experience). Cross-Disciplinary Expertise: Deep understanding of B2B SaaS growth tactics, PLG motions, marketing technology stacks, and revenue analytics, with a proven ability to bridge Marketing, Sales Ops, Data, and Product management. Independent Problem Solving: Proven track record of independently determining methods and procedures on complex, ambiguous assignments requiring evaluation of variable factors. Technical: Hands-on proficiency with web analytics (GA360/GA4), product analytics (e.g., Amplitude, Mixpanel), CDPs, SQL, and CRM/automation platforms. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850 ** Zone 3: All other US locations - $116,000 - $159,500* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team builds the systems that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (Engineering, Core Technology) , you will work across the technology stack behind these experiences. You may build real-time software that runs on Nex Playground, create internal tools for preparing and reviewing datasets, improve camera and hardware integrations, or automate how we train, evaluate, optimize, and deploy machine learning models. You will collaborate with software engineers, ML researchers, and game teams to investigate real-world problems and turn new ideas into reliable technologies that can be used in games. You will receive hands-on mentorship while owning meaningful work that contributes to our products and engineering capabilities. What You Will Do Build real-time software for motion tracking, cameras, audio, and ML inference. Develop tools that help engineers prepare datasets and train, evaluate, optimize, and deploy ML models. Improve reliability and developer experience through visualization, debugging, performance analysis, and automated testing. Collaborate with engineers and researchers to bring experimental technologies into games. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Solid foundation in software development and computer science fundamentals. Programming experience in any language. Strong problem-solving and debugging skills. Strong communication and collaboration skills. Curiosity about real-time systems, machine learning systems, cameras, sensors, or hardware. Excited to learn and work across different parts of the technology stack. Nice To Have Experience with C++, C#, or Java. Interested in computer vision, ML inference, cameras, audio, or embedded systems. Interested in building developer tools, web or desktop applications, or data workflows. Interested in profiling, automated testing, CI/CD, or DevOps practices. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team develops the technologies that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (ML Research, Core Technology) , you will explore and develop machine learning methods that expand what Nex Playground can perceive and understand. You may work on computer vision, audio, sensor fusion, or other sensing problems, taking ideas from research hypotheses through experimentation, evaluation, optimization, and working prototypes. You will collaborate with ML researchers and software engineers to build datasets and experimental workflows, evaluate ideas rigorously, and demonstrate promising technologies under real-world and on-device constraints. You will receive hands-on mentorship while owning a meaningful research project that contributes to our future products and technical direction. What You Will Do Develop and evaluate ML models and algorithms for computational perception and interaction. Design rigorous experiments, improve datasets, compare approaches, and understand failure modes. Build training and evaluation tools, and optimize promising models for real-time, on-device inference. Collaborate with researchers and engineers to prototype technologies on Nex Playground and communicate your findings. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Strong interest in machine learning and enthusiasm for learning new methods and tools. Solid mathematical fundamentals and comfort with quantitative reasoning. Strong analytical and problem-solving skills. Programming experience in any language. A curious, systematic approach to learning through experimentation. Strong communication and collaboration skills. Nice To Have Experience with Python or familiarity with PyTorch, TensorFlow, or another ML framework. Interested in computer vision, audio processing, sensor fusion, or multimodal learning. Interested in model optimization, on-device inference, GPUs, NPUs, or resource-constrained devices. Interested in data curation workflows, or dataset quality analysis. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Corporate Security at Ramp owns the security of our internal environment: the device fleet, the identity and access layer, and the AI tools employees use for their work. We are hiring a Systems Engineer to build and operate the controls across these systems. The role is hands-on, writing code and building agentic loops wherever possible rather than solving problems manually. You will help manage device configuration and patching via configuration-as-code, authentication and authenticator policies in Okta, network and gateway enforcement in Cloudflare, and the controls around our enterprise Claude and OpenAI deployments. These systems overlap heavily in practice, and the work is largely about integrating them and automating what would otherwise be manual administration. You will report to the Corporate Security lead and work closely with IT, Security Engineering, and AI DevX. WHAT YOU'LL DO - Maintain update policies for both OS and software, and monitor the fleet so that newly introduced applications are brought into the patching cadence - Build automation for endpoint security agent remediation across EDR, DLP, VPN, and similar tooling — detecting missing, stale, or unhealthy agents and bringing devices back into compliance - Maintain device configuration baselines as code, including drift detection and hardening standards - Configure authentication and authenticator policies in Okta: SSO, MFA and authenticator enrollment, device trust, and conditional access - Remediate identity posture gaps surfaced by ISPM tooling: stale accounts, orphaned service principals, over-scoped OAuth grants, MFA gaps, and excess privileges - Implement and operate controls for enterprise AI usage, including identity-aware access, logging and retention, DLP where appropriate, and enforcement - Automate across these platforms using their APIs, build reporting on control coverage, and document how the controls you build are operated WHAT YOU NEED - 3–5 years of experience in Client Platform Engineer/Endpoint Engineering, Identity Access & Management, or Corporate Security - Hands-on macOS management at scale: MDM (Jamf, Fleet, Kandji, or equivalent) and macOS update mechanisms - Working knowledge of an identity provider (Okta or similar): SSO, authentication and authenticator policies, SCIM provisioning, and conditional access - Scripting ability in Python, Go, or Bash, and experience automating against platform APIs - Experience with EDR and endpoint vulnerability management (CrowdStrike or similar) - Ability to evaluate tradeoffs between technical enforcement, policy, and user friction, and to explain those tradeoffs clearly NICE TO HAVE - osquery and Fleet, or other query-based fleet visibility tooling - Identity posture management (ISPM) tooling, or access review and governance platforms - Cloudflare Zero Trust, or other proxy, DNS, or network-layer enforcement, including TLS inspection - Exposure to AI and LLM security concerns: agent authorization, tool calls, model gateways, data leakage through AI tooling - Infrastructure-as-code and CI/CD experience (Terraform, GitHub Actions) - Windows fleet management alongside macOS - Compliance frameworks (SOC 2, PCI) as they apply to endpoints and access BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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. THE ROLE As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric. You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC. WHAT YOU WILL DO - Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value. - Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption. - Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data. - Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap. - Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code. - Spot patterns across departments and lift one-off solutions into reusable building blocks. WHAT WE'RE LOOKING FOR - At least 3 years building and deploying production AI software. - Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself. - Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation. - Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop. - Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience. - Fluent in AI-native tools (Slack, Linear, etc.). - Passionate about solving customer problems. Here, your customers are Mistral's own teams. - Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon. NICE TO HAVE - Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast. - Data engineering or analytics experience (warehouse modeling, dbt, dashboards). - Contributions to open-source projects, especially around LLMs. - A builder's instinct for internal tooling and platform reuse. 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: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States Artificial Intelligence Engineer - Assistant Vice President About the Role iCapital is seeking an Assistant Vice President Artificial Intelligence Engineer to design, develop, and deliver production-grade AI systems that drive measurable business outcomes across the firm. This role is expected to bring sound judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. The ideal candidate is an experienced, hands-on engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own AI projects and defined workstreams, contribute to system design and technical decisions, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. Responsibilities Design and deliver production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Contribute to technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, following and contributing to team engineering standards across the AI/ML platform. Develop and apply robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Support and mentor junior engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 5+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks and tooling Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $120,000 to $170,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York; United States Workplace: hybrid About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the role We’re looking for a Legal Counsel to join Aave Labs and support our global business, with a particular focus on commercial matters, acquisitions and strategic transactions. You’ll work closely with teams across the business to structure, negotiate and execute a broad range of commercial arrangements and transactions, including strategic partnerships, acquisitions, asset purchases and acqui-hires. This role is well suited to someone with a strong corporate and commercial foundation who can navigate complex transactions, understand the commercial objectives behind them and provide practical, business-oriented legal advice in a fast-moving environment. This position offers global responsibilities, allowing you to work with diverse teams and navigate complex international legal landscapes. How you can make an impact: Draft, review and negotiate a broad range of commercial agreements, including strategic partnerships, technology and software agreements, integrations, vendor and service agreements Partner closely with Business Development, Product and other teams to structure complex commercial arrangements and develop practical legal solutions that enable new partnerships and products Support the negotiation and execution of strategic partnerships with financial institutions, fintechs, infrastructure providers and other participants across the digital asset ecosystem Provide legal support throughout the lifecycle of partner integrations and strategic initiatives, from initial structuring and negotiation through implementation and launch Advise teams across the business on contract interpretation, rights, obligations and commercial risk Support acquisitions, asset purchases, acqui-hires and other strategic transactions from initial evaluation through signing and completion Conduct and coordinate legal due diligence, identifying key risks and translating findings into clear, practical recommendations Draft, review and negotiate transaction documentation, including NDAs, LOIs, term sheets, purchase agreements, IP transfer arrangements and other ancillary documents Work closely with senior stakeholders and external counsel on transaction structuring, negotiation and execution Advise on corporate, commercial and intellectual property considerations arising from strategic transactions Support post-transaction matters, including the transfer and integration of contracts, intellectual property and other assets Develop and improve commercial templates, contracting processes and legal playbooks to enable the business to move efficiently and at scale Let’s connect if you have: 4+ years of experience as a practising lawyer, with a strong background in corporate and commercial law and experience handling complex transactions Experience working in fintech, crypto or digital assets, with a strong understanding of the commercial and legal environment Strong experience drafting and negotiating complex commercial agreements Experience advising on acquisitions, corporate transactions and other complex commercial arrangements Working knowledge of digital asset regulatory frameworks, including securities law issues and token classification, as they bear on deal structuring and diligence Familiarity with DeFi protocols and on-chain/DAO governance structures, including where they arise as transaction counterparties or acquisition targets Experience conducting legal due diligence and drafting and negotiating transaction documentation Experience structuring transaction consideration involving tokens, as distinct from standard cash or equity consideration Experience within a leading law firm and/or an in-house legal team within a technology or financial services environment Strong commercial judgment and the ability to identify material legal risks and translate them into practical recommendations Ability to operate autonomously, manage multiple workstreams and take ownership of transactions from start to finish Excellent communication and interpersonal skills, with the confidence to work with senior internal and external stakeholders Experience working across multiple jurisdictions and coordinating specialist external counsel where required Preference is for this role to be based in New York, NY, and relocation assistance is available for the right candidate. Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work. The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on. This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security. What you'll do Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon. Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow. Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation. Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com. Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each. Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product. Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration. Work across the whole platform on different projects, features and teams. This reaches across: Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees. Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows. Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do. Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review. Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member. What you'll bring 8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership. Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it. Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load. A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition. Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf. Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous. Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority. Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans. Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization. About the team The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $325,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The Partner Team at Vercel is charged with creating mutual success for Vercel, our partners, and our customers. We are seeking a Senior Manager, Partner Programs to build and scale the programs, infrastructure, and operating model that turn Vercel's partner strategy into repeatable, high-leverage execution across our entire partner ecosystem, including SIs, GSIs, ISV co-sell, and product partners. Reporting to the VP of Partnerships, this person owns how partner strategy gets operationalized: designing the shared systems, journeys, and enablement that every partner type moves through, so partner leadership and partner managers can focus on strategy, relationships, and growth rather than rebuilding infrastructure partner-by-partner. This is a hybrid position, with a required 3 days per week in one of our San Francisco, Austin, or New York City offices. What you'll do Own the partner journey framework: design and continuously improve the shared journey every partner moves through, from Acquisition to Onboarding to Activation to Acceleration, including eligibility criteria, intake paths, incentives, tiering, and agreements. Lead partner enablement & certification: own the roadmap and delivery model for partner onboarding, training, certification, and badging programs, partnering with PSE and GTM Enablement on technical training content. Establish governance & standards: define tiering, KPIs, and rules of engagement across partner types, and drive consistent standards across Partnerships, Sales, Marketing, Product, and Customer Success. Design repeatable GTM plays: build co-sell, pipeline-generation, and joint go-to-market motions that scale successful partner plays rather than reinventing them per relationship. Run partner communications & community: own ongoing partner comms, news, meetups, summits, self-serve co-marketing kits, and the Partner Advisory Board with its feedback loops. Use data to evolve programs: evaluate program and partner performance using data and partner feedback, and recommend where programs should expand, simplify, or retire. Act as the execution arm of partner strategy: translate partner leadership's priorities (enterprise, agentic pipeline, scale) into clear, resourced programs and roadmaps. What you need 6+ years in partnerships, partner programs, ecosystem enablement, or GTM strategy roles, in AI / Developer tooling. Proven experience and results building and scaling partner programs. Strong understanding of the developer, modern web, and AI agent ecosystem. Experience with PRM systems, marketplaces, or partner ecosystem tooling. Ability to translate ambiguous strategy into concrete, scalable programs and measurable execution. Strong cross-functional leadership; comfortable driving alignment across Partnerships, Sales, Marketing, Product, and Customer Success without direct authority. Data-driven approach to evaluating program performance and partner feedback. Clear, confident communicator capable of building tools, content, and playbooks that other people can execute consistently. Bonus if you have Experience designing governance, tiering, or certification frameworks for multiple partner types simultaneously (SIs, ISVs, GSIs, resellers). Exposure to AI/ML, devtools, cloud, or SaaS startup ecosystems. Experience standing up or migrating PRM/marketplace infrastructure. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA on-target earnings (OTE) range for this role is $175,000 - $230,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

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 hiring an FP&A Manager to serve as the finance business partner to our rapidly growing Wholesale organization. In this role, you will partner closely with Wholesale leadership to drive forecast accuracy, inform key commercial decisions, and improve the efficiency and profitability of the channel through disciplined financial planning, margin management, and analysis. You will bring together detailed financial modeling and strategic thinking to provide greater visibility into business performance while helping strengthen the finance infrastructure and processes that support the continued growth of Wholesale at WHOOP. RESPONSIBILITIES: - Serve as the Finance business partner to the Wholesale organization, providing actionable financial and strategic insights to drive growth, efficiency, and profitability - Own and enhance financial planning, budgeting, forecasting, and re-forecasting for Wholesale, including revenue, units, gross margin, and key operational drivers across retailers and products - Drive forecast accuracy and accountability by identifying key variances, risks, and opportunities and translating evolving business performance into an updated financial outlook - Own and optimize wholesale margin management and channel economics, maintaining visibility into retailer profitability and identifying opportunities to improve financial performance - Leverage and refine financial models and analytical frameworks to inform key commercial decisions, including new retailer partnerships, geographic expansion, pricing and promotions, and assortment strategy - Support the transition to an EPM system and continued maturation of core finance infrastructure, implementing process and reporting improvements that increase scalability, accuracy, and structure as the business grows QUALIFICATIONS: - 5+ years of progressive experience in FP&A, strategic finance, investment banking, consulting, or another highly analytical finance role - Strong financial modeling and forecasting skills, with demonstrated ability to translate business performance into forward-looking plans and actionable insights - Strong understanding of revenue, gross margin, and channel economics, including the impact of pricing, product mix, promotions, and other drivers of profitability - Advanced proficiency in Microsoft Excel or Google Sheets; experience with EPM systems, SQL, Python, or other analytical tools is a plus - Strong analytical and commercial judgment, with the ability to identify key business drivers, evaluate tradeoffs, and inform complex decisions - Highly effective, unbiased communicator with the ability to adapt communication style to different audiences. Can articulate complex data clearly to a diverse range of stakeholders. - Highly proactive and self-motivated, with a strong sense of ownership and able to identify opportunities, take initiative, and drive projects forward. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with 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 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 $150,000-$190,000. 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.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Design integrations grounded in real healthcare workflows. Translate customer requirements into clear recommendations on interfaces, data flows, and EHR configuration. Identify assumptions, tradeoffs, and limitations so engineering teams have an actionable implementation plan. - Resolve customer-specific EHR complexity. Understand how each organization configures and operates its EHR, including scheduling rules, patient identity, permissions, and workflow dependencies. Work with customer analysts, vendor teams, and Sierra engineers to investigate unexpected behavior and resolve integration blockers. - Guide integration readiness through go-live. Define customer setup requirements, dependencies, and validation criteria. Guide EHR and IT teams through application registration, access provisioning, environment setup, and workflow testing, partnering with engineers to verify that integrations behave as intended. - Bring EHR expertise to customer discovery. Partner with Sales, Sales Engineering, and Agent Development to assess feasibility, explain integration requirements, and scope achievable projects. Make clear what Sierra supports today and what requires additional configuration or development. - Shape Sierra’s healthcare integration roadmap. Evaluate vendor capabilities, integration programs, and emerging customer needs. Recommend where to invest, distinguishing reusable platform capabilities from customer-specific configuration and implementation work. - Make each implementation easier than the last. Turn deployment experience into reference designs, implementation guides, and internal training. Help teams apply proven approaches and recognize when a customer’s requirements call for a different design. WHAT YOU'LL BRING - 5+ years of experience in healthcare interoperability or EHR implementation, with direct responsibility for designing or delivering integrations at an EHR vendor, health system, healthcare technology company, or implementation consultancy. - Deep expertise in at least one major EHR ecosystem, such as Epic, athenahealth, Oracle Health, eClinicalWorks, MEDITECH, or similar systems. You understand its integration options, configuration model, and implementation processes, and can investigate unfamiliar capabilities independently. - Practical knowledge of patient-access workflows, such as scheduling, registration, or referral management. You can explain how operational rules and customer configuration affect what an integration can do. - Technical fluency in healthcare integrations. You can read API documentation, interpret requests and responses, and troubleshoot data and configuration issues. You have hands-on experience with relevant approaches such as FHIR, HL7v2, vendor APIs, or file-based exchange, and can explain when to use them. - A track record of taking third-party integrations through deployment. You have worked through application registration, authentication and permissions, test and production environments, workflow validation, and go-live dependencies. - Clear communication and independent judgment. You can lead discovery with EHR analysts and operational teams, turn incomplete information into an implementation plan, and explain recommendations to software engineers and business stakeholders. You know when to validate an assumption before committing to an approach. EVEN BETTER... - Epic certifications in areas such as Bridges, Cadence, Prelude, or Interconnect, or comparable expertise in another EHR ecosystem. - Experience across multiple EHR vendors or health systems, particularly integrating third-party products into patient-access or contact-center workflows. - Experience using SQL, scripts, or code to investigate integration issues, or working with teams building AI agents for healthcare. - Hands-on software development experience, including building or extending integrations with EHRs or other healthcare systems. - Comfortable contributing directly to integration code, including implementing API calls, troubleshooting failures, and writing tests. Experience with TypeScript, Go, or Python is a plus. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Poland Workplace: Remote HI THERE!👋🏻 WE’RE TOOPLOOX 💎, A SOLVD INC. COMPANY We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.   WHAT YOU WILL DO: - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.   EXPERIENCE AND SKILLS YOU NEED TO JOIN US: - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language.   IT WOULD BE GREAT IF YOU ALSO HAVE: - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat HOW WE WORK: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all. ABOUT THE ROLE ✍️ We're hiring an ML Engineering Manager to join the existing data science function at Cleo - a collaborative team of ML engineers, analysts, and data engineers - to build and deploy production models that go directly into the product. You'll lead the ML workstream behind our Financial Assistant feature, shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money. This is a people management role: you'll manage the ML engineers across your squads, own the headcount plan, and be responsible for hiring and team development in your area. - Understand the core problems faced by the Financial Assistant team and coordinate the ML function's contribution to solving them - Find opportunities for model and product improvements in Cleo's extensive customer behaviour datasets - Manage the ML engineers in your squads - coaching and developing them to deliver on the roadmap - Build out the headcount plan and own hiring and team development within your area to support growth WHAT WE'RE LOOKING FOR 🕵️ - Extensive experience building and deploying machine learning models to production - Experience managing and developing high-performing teams of data scientists and ML engineers - A habit of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design - Experience owning an ML roadmap, driving new ideas through to business impact - Ability to write production-quality Python code, with a willingness to stay somewhat hands-on - Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models - Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely and engagingly - Nice to have: experience with containers and container orchestration - Kubernetes, Docker, and/or Mesos - Nice to have: experience using vector databases such as OpenSearch WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote-Friendly (Travel Required) | Canada 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 a Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. Responsibilities: Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms -Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly Marry the right projects, capital stacks and developers at the right stages Support the development of the long term data center supply strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization Expert in the Canadian Leasing Compute space It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.