Вакансии

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management infrastructure , elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning. Translate advanced agent research into production-grade systems , prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability. Ensure reliability, observability, and governance of agent infrastructure , including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Possess a deep expertise in at least one of the following areas: long-term memory , knowledge graphs , or context management . Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies. Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments. Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation. Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.). Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks. Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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

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

Location: Japan THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - Minimum of 5+ years of experience in software engineering or technical problem-solving roles - Strong fundamentals in software design, system thinking - Communication skills in Japanese: Business to fluent-level (fluent to native-level is preferred) as the role will be working quite closely with stakeholders at traditional Japanese enterprise companies. - Communications skills in English: Business-level - Experience working across systems, integrations, and data flows - Clear communication skills and a strong ownership mindset: comfortable working directly with customers and owning ambiguous problems - Curiosity and interest in building AI-powered systems that work in practice - Proficiency in Software Development and Programming, with experience building production-grade applications. - Hands-on experience in Back-End Development, including APIs, databases, and cloud or distributed systems. - Solid understanding of Object-Oriented Programming (OOP) principles and their application in large-scale codebases. - Experience integrating AI or data-driven services into enterprise environments is a plus. - Ability to work directly with customers, gather requirements, and translate business needs into technical solutions. - Comfort with rapid prototyping, debugging in complex systems, and iterating in collaboration with cross-functional teams. - Eligibility to work in Japan NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

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

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

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

Location: Kaunas Workplace: OnSite About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    About your Team   Behind every ground breaking product there’s an awesome team. Our Product Engineering teams do much more than just write amazing code - we are the co-owners of the whole product experience. We are passionate about solving problems, be it big complex new systems or small optimizations. We plan quarterly, meetup biweekly, ship daily, and code together all the time. We never stop experimenting with the product and technologies, and our stack evolves all the time. We work in tandem with our Product teams and support our growing base of millions active users.  As a Software Engineering Intern at Eneba, you won’t just observe — you’ll be part of the team. This is an opportunity to grow your skills, learn from strong engineers, and contribute to a product used by millions of gamers worldwide. In this role, you will: - Learn new skills and continuously improve them while working alongside leading engineers at Eneba - Heavily utilize cutting-edge AI tools to support learning and to write production-level code efficiently - Have the opportunity to work across the entire Eneba ecosystem — backend, frontend, and mobile - Gain hands-on professional experience at a global, industry-leading company - Develop strong testing instincts to evaluate, direct, and verify AI-generated code - Release your code to real users on a continuous basis - Have the opportunity to join our team in a permanent position upon successfully completing the program Requirements - Student, recent graduate or self-learner with a positive attitude, good communication skills and a passion for coding - You love to solve problems and learn new languages and skills - Hands-on experience with at least one programming language - Ability to work at least 20 hours per week with exceptions during exam seasons - Experience in any of the following technologies is a bonus: PHP, Go, Node.js http://Node.js, HTML, CSS, JavaScript, TypeScript, React, ReactNative - Available to work onsite in Kaunas for 6 months (starting the 8th of February) Salary: 600–1300 €/month gross, depending on your availability.   - Important: Once you apply, you will automatically receive a homework assignment as part of your full application. The assignment must be completed within 7 days of receiving it. Please note that December 9, 2026, is the final deadline to apply. What it’s like to work at Eneba   *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    Please attach CV's in English. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Kalgoorlie - Boulder, Australia; Australia; Esperance, Australia; Coolgardie, Australia Description Join Intellect and help shape the future of workplace mental health in Australia Intellect is a modern mental health company on a mission to make high quality mental healthcare more accessible, effective, and measurable. We partner with organisations to deliver evidence based mental health support, and we are helping redefine workplace mental health in Australia through strong clinical governance, psychosocial risk capability, and outcomes focused care. We are now hiring a CISP - Required, ( AHPRA - preferred but not mandatory) registered Clinical Psychologist for a full time, freelance remote role based in Kalgoorlie-Boulde r . This is a unique opportunity for a psychologist who wants more than a traditional therapy role. You will combine direct clinical care with workplace assessments, psychosocial risk work, stakeholder partnership, crisis response support, and research collaboration. You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. Why join Intellect Full time, remote, freelance role based in Kalgoorlie-Boulde r Varied scope across therapy, assessments, workplace mental health, and crisis support Clinical supervision provided Admin support provided No need to build your own referral pipeline Be part of the broader Clinical team, in a role with both direct client impact and systems level influence Join a clinically led team focused on quality, governance, and measurable outcomes About the role This role is ideal for a clinician who: enjoys variety in their work wants to apply their skills beyond a therapy room only is confident engaging both clients and non clinical stakeholders is motivated by evidence based practice and systems level impact Team and support You will be part of Intellect’s broader Clinical team, working in a collaborative environment with clinical, operational, and cross functional partners. This role is designed to support high quality clinical work, with supervision, CPD support, and admin support in place, so psychologists can focus on care quality and impact. You will play an important role in delivering high quality care, supporting workplace mental health initiatives, and helping build Intellect’s clinical and research presence in Australia. Key Responsibilities Clinical Care and Psychological Assessments Provide evidence based psychological therapy, both in person and virtually, in line with AHPRA requirements and Intellect clinical governance standards Maintain a hands on clinical caseload with a focus on high quality, outcomes oriented care Conduct psychological and workplace related assessments, including return to work assessments and other psychosocial or functional assessments Provide case management and care coordination where required, including risk monitoring and escalation Workplace Mental Health and Psychosocial Risk Contribute to psychosocial risk assessments and workplace mental health initiatives across client organisations Support the development of clinically sound recommendations and reports Translate clinical insights into practical guidance for internal teams and client stakeholders Stakeholder partnership and Clinical Account Support Liaise with client representatives and internal stakeholders to uphold clinical quality, service standards, and reporting integrity Act as a trusted clinical voice in programme discussions, helping ensure delivery remains evidence based, safe, and fit for purpose Crisis and Critical Incident Support Support on site crisis response deployments when required, including psychological first aid, group briefings, and individual stabilisation sessions Ensure clear follow up pathways, continuity of care, and appropriate escalation after critical incidents Research and Evidence Generation Contribute to Intellect’s research and evaluation efforts in Australia, including partnerships with universities and applied workplace mental health studies Support clinically grounded data collection, interpretation, and programme improvement initiatives Help strengthen Intellect’s evidence base and thought leadership in workplace mental health and psychosocial safety Requirements CISP - Required, (AHPRA - preferred but not mandatory) registered Clinical Psychologist Master’s or Doctoral qualification in Clinical Psychology Minimum 3 years of clinical experience in psychological therapy and assessment Experience in case management and workplace related assessments, including return to work and workplace reports, is highly regarded Experience in psychosocial risk assessment or workplace mental health programmes is highly regarded Strong clinical judgement and communication skills Comfortable working across individual care, organisational contexts, and stakeholder engagement Experience supporting complex, high risk, or safety critical populations is advantageous Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care

Location: Global (Remote) Workplace: Remote COMMUNITY GROWTH MANAGER Team: Community Location: Flexible / Remote Reporting to: VP of Community ROLE OVERVIEW Rwazi’s Community function represents the human layer of the company — contributors, mappers, and platform participants across global markets. The Community Growth Manager owns measurable network expansion. This role scales user acquisition, accelerates activation, and increases network density across priority geographies. Community growth is treated as infrastructure — not marketing. The Community Growth Manager builds a predictable, compounding human network. CORE MANDATE The Community Growth Manager is accountable for: - Scaling contributor and user acquisition - Increasing activation velocity (sign-up → first participation) - Expanding network density in key markets - Improving referral-driven growth loops - Strengthening repeat participation This role owns the growth mechanics of the human network. KEY RESPONSIBILITIES USER ACQUISITION & EXPANSION - Design and execute multi-channel contributor acquisition strategies - Identify high-density geographic clusters - Optimize cost-per-active-user - Test and scale growth channels systematically ACTIVATION VELOCITY - Reduce time-to-first-submission - Optimize onboarding flows - Improve conversion from interest → active participation - Identify and remove friction in early journey stages NETWORK DENSITY & COVERAGE - Increase active contributors per city - Balance growth across underserved regions - Maintain supply resilience across markets REFERRAL & ORGANIC GROWTH SYSTEMS - Design referral programs tied to measurable expansion - Track referral conversion rates - Strengthen peer-driven network growth GROWTH ANALYTICS & OPTIMIZATION - Track acquisition, activation, and retention metrics - Run experiments to improve conversion rates - Provide structured reporting to VP of Community ROLE IMPACT Strong performance results in: - Faster log fulfillment due to stronger network density - Lower acquisition cost per active user - Higher activation conversion rates - Stronger organic growth - Increased supply resilience This role directly influences execution speed and ecosystem strength. WHAT THIS ROLE IS NOT - Not community moderation - Not delivery operations - Not reactive messaging - Not event management This role requires structured growth discipline. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 4–8+ years in growth, marketplace scaling, or community expansion - Experience building distributed user networks - Strong analytical ability with funnel metrics - Comfort running structured experiments - Bias toward action and iteration - Experience operating in multi-geography environments Candidates may come from gig platforms, marketplace startups, creator ecosystems, or growth-driven SaaS environments. CULTURAL FIT We value operators who: - Think in funnels and density, not vanity metrics - Care about measurable outcomes - Move quickly and iterate - Build systems that compound - Operate with ownership and accountability HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Growth metrics achieved in prior roles - Activation and retention improvements driven - Ability to design scalable acquisition systems - Analytical rigor behind growth decisions - Structured experimentation discipline SUMMARY The Community Growth Manager scales Rwazi’s human network by driving acquisition, activation, and expansion across markets. This role ensures the Community layer grows predictably, efficiently, and sustainably as the company scales.

Location: Global (Remote) Workplace: Remote SENIOR COMMUNITY MANAGER Team: Community Location: Flexible / Remote Reporting to: VP of Community ROLE OVERVIEW Rwazi’s Community function represents the human surface area of the company — contributors, mappers, enterprise clients, and ecosystem partners. The Senior Community Manager owns ecosystem strategy. This role defines how these groups connect, interact, and reinforce one another within the broader Rwazi network. Community at this level is not messaging. It is network architecture. The Senior Community Manager ensures Rwazi’s ecosystem compounds in trust, density, and strategic value over time. CORE MANDATE The Senior Community Manager is accountable for: - Designing the structure of Rwazi’s ecosystem - Strengthening relationships across users, mappers, clients, and partners - Creating cross-node interaction within the network - Increasing ecosystem resilience and loyalty - Protecting long-term trust capital This role builds durable relational infrastructure. KEY RESPONSIBILITIES ECOSYSTEM ARCHITECTURE - Define how contributors, enterprise users, and partners interact - Design structured engagement models across stakeholder groups - Create pathways for collaboration and shared value - Reduce ecosystem fragmentation MULTI-STAKEHOLDER RELATIONSHIP STRATEGY - Maintain strong relationships across core ecosystem segments - Identify trust gaps or sentiment risk early - Develop structured communication strategies per segment - Balance enterprise professionalism with grassroots authenticity COMMUNITY-TO-PRODUCT FEEDBACK LOOPS - Surface structured ecosystem insights to Product and Leadership - Identify recurring friction patterns across stakeholders - Translate ecosystem signals into strategic adjustments IDENTITY & NARRATIVE STEWARDSHIP - Strengthen Rwazi’s identity within its network - Develop rituals, recognition systems, and shared milestones - Protect tone, positioning, and relational clarity STRATEGIC EXPANSION SUPPORT - Support VP of Community in scaling ecosystem footprint - Evaluate new market or segment entry from a network perspective - Identify ecosystem-driven growth opportunities ROLE IMPACT Strong performance results in: - Higher ecosystem cohesion - Increased stakeholder loyalty - Stronger cross-network referrals - Reduced churn across contributors and clients - Greater long-term defensibility This role strengthens Rwazi’s human moat. WHAT THIS ROLE IS NOT - Not delivery operations - Not reactive support - Not transactional messaging - Not community engagement for engagement’s sake This role requires structured ecosystem thinking. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 6–10+ years in community, ecosystem, or network leadership roles - Experience managing multi-sided platforms (marketplace, SaaS, or distributed networks) - Strong relationship-building ability across different stakeholder types - Strategic thinking around network effects - Analytical comfort with retention, density, and ecosystem health metrics - Executive communication clarity Candidates may come from marketplace ecosystems, enterprise SaaS community leadership, or multi-stakeholder platforms. CULTURAL FIT We value leaders who: - Think long-term about trust capital - Balance warmth with strategic discipline - Operate without ego but with authority - Care about ecosystem integrity - Prefer durable systems over reactive fixes HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to design and scale ecosystem structures - Evidence of strengthening multi-sided networks - Clarity in handling stakeholder complexity - Structured thinking around community health metrics - Strategic maturity in managing trust across groups SUMMARY The Senior Community Manager leads the design and strengthening of Rwazi’s ecosystem across users, mappers, enterprise clients, and partners. This role ensures that Rwazi’s human network compounds in value — becoming a durable competitive advantage over time.

Location: Global (Remote) Workplace: Remote EXECUTIVE ASSISTANT Team: CEO Office Location: Flexible / Remote Reporting to: CEO ROLE OVERVIEW Rwazi operates in a high-velocity, AI-native environment where clarity, follow-through, and structured thinking are essential. The Executive Assistant supports the CEO in day-to-day executive operations — documentation, planning cadence, structured follow-ups, and internal coordination. This is a foundational role inside the CEO’s office. While the title is traditional, the expectation is not. We are looking for someone with former founder instincts or strong analytical pedigree — who understands strategy, but is comfortable operating in a support capacity without ego. This role requires intelligence, discipline, and humility. CORE MANDATE The Executive Assistant is accountable for: - Maintaining executive documentation rigor - Structuring meetings into clear outputs and actions - Tracking cross-functional commitments - Supporting board and planning cycles - Reducing cognitive load on the CEO This role strengthens executive execution hygiene. KEY RESPONSIBILITIES EXECUTIVE DOCUMENTATION & STRUCTURING - Capture high-quality, structured notes in executive and board meetings - Translate discussions into clear action items with owners and deadlines - Maintain organized, searchable documentation systems - Draft memos, summaries, and internal briefs PLANNING & CADENCE MANAGEMENT - Support quarterly and annual planning processes - Assist in preparing board decks and executive materials - Maintain visibility over key company-wide priorities - Ensure follow-through across functional leaders CROSS-FUNCTIONAL COORDINATION - Track execution commitments across teams - Follow up on deadlines and deliverables - Escalate slippage early and objectively - Maintain structured dashboards of ongoing initiatives OPERATIONAL & ADMINISTRATIVE SUPPORT - Manage executive scheduling and prioritization - Coordinate internal and external communications - Maintain high professional standards in all outputs ROLE IMPACT Strong performance results in: - Clear executive decision trails - Fewer dropped commitments - Tighter cross-functional alignment - Faster execution cycles - Increased CEO focus on strategic priorities WHAT THIS ROLE IS NOT - This is not a strategic leadership role - This is not independent product or revenue ownership - This is not a stepping stone to immediate executive authority This role requires comfort operating in a support function — regardless of prior seniority. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Former founder, operator, or builder experience OR strong analytical background (consulting, finance, research, technical environments) - Exceptional structured writing ability - Strong analytical reasoning and pattern recognition - Comfort synthesizing complex discussions into clarity - High attention to detail - Ability to operate without ego in a support capacity - Strong discretion and professionalism Former founders are welcome — provided they are motivated by discipline and execution, not status. CULTURAL FIT We value individuals who: - Think sharply but act humbly - Prefer execution over visibility - Take pride in structured output - Care about precision - Follow through consistently HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Clarity and structure of written work - Analytical depth in summarizing complex discussions - Discipline in tracking commitments - Comfort supporting executive workflows - Absence of ego in operational contexts SUMMARY The Executive Assistant strengthens the CEO’s office by applying founder-level thinking and analytical rigor to executive documentation, planning, and follow-through. This role is foundational to maintaining speed, clarity, and execution discipline as Rwazi scales.

Location: Global (Remote) Workplace: Remote RECRUITER Team: People Location: Flexible / Remote Reporting to: Recruitment Lead ROLE OVERVIEW Rwazi scales through disciplined talent acquisition. The Recruiter executes the hiring engine — sourcing, screening, coordinating, and progressing high-quality candidates through structured evaluation pipelines. This role ensures hiring velocity without compromising talent bar. The Recruiter does not simply fill roles. They move qualified candidates through a structured, high-signal system. CORE MANDATE The Recruiter is accountable for: - Generating qualified candidate flow - Maintaining structured candidate progression - Preserving evaluation rigor - Reducing time-to-interview and time-to-offer - Ensuring strong candidate experience This is an execution-critical role within the hiring pipeline. KEY RESPONSIBILITIES SOURCING & PIPELINE EXECUTION - Source candidates across prioritized channels - Maintain proactive outreach cadences - Build candidate pools ahead of immediate demand - Track sourcing effectiveness by channel CANDIDATE SCREENING & SIGNAL FILTERING - Conduct structured screening interviews - Assess alignment against defined role rubrics - Filter for capability, ownership mindset, and execution ability - Maintain clear candidate documentation INTERVIEW COORDINATION & PROGRESSION - Schedule and manage interview stages - Ensure timely feedback collection - Reduce bottlenecks in hiring workflows - Maintain candidate momentum through the funnel CANDIDATE EXPERIENCE - Communicate clearly and professionally - Maintain responsiveness and transparency - Uphold Rwazi’s reputation in the talent market RECRUITING METRICS & DISCIPLINE - Track funnel conversion rates - Maintain accurate pipeline reporting - Identify drop-off patterns and escalate issues ROLE IMPACT Strong performance in this role results in: - Faster hiring cycles - Higher-quality candidate shortlists - Reduced interview fatigue for hiring managers - Predictable pipeline health - Stronger employer brand perception WHAT THIS ROLE IS NOT - Not passive resume sorting - Not job posting only - Not administrative scheduling support - Not lowering bar to fill seats This role requires judgment, pace, and structure. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 2–5+ years in recruiting (startup or high-performance environments preferred) - Experience hiring across multiple functions (Product, Ops, Finance, etc.) - Strong structured interviewing ability - Clear written and verbal communication - Ability to operate with speed and organization - Comfort working in metric-driven environments Candidates may come from startup recruiting, marketplace hiring, agency environments, or internal talent acquisition teams. CULTURAL FIT We value recruiters who: - Protect the hiring bar - Move quickly without chaos - Maintain high ownership - Operate with clarity and professionalism - See recruiting as a system, not a task HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Quality of sourced candidates - Funnel discipline and pipeline clarity - Communication clarity - Speed without compromise - Ability to maintain candidate momentum SUMMARY The Recruiter powers the execution layer of Rwazi’s hiring engine. This role ensures high-quality talent flows predictably into the organization as we scale.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s distribution partnerships team is passionate about unlocking new sources of revenue and hyper-scaling growth through the power of strategic alliances. This includes accelerating go-to-market (GTM) efforts, driving adoption of Figma’s platform, and unlocking new use cases via our suite of AI tools. We are looking to hire an experienced business development and partnerships professional to scale our efforts with agencies, systems integrators, consultancies, and commercial partners (resellers) across the globe. This includes driving revenue growth and supporting customers across North America in both commercial and public sectors (government). This is not a channel sales role - we are focused on new critical initiatives and analyzing how partnerships best serve the long-term needs of Figma’s business. This is an exciting opportunity to join an emerging team at Figma where you will play an active role in shaping our long-term partner strategy. You will build new revenue-focused partner programs from scratch and scale our existing motions to better serve customers as Figma’s platform continues to evolve. This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States. What you’ll do at Figma: Identify, evaluate, and execute new strategic distribution opportunities that require complementary GTM partners, and onboard qualified organizations into Figma’s formal partner program Manage and grow relationships with service and commercial partners across AMER — including public sector and Federal clients — driving partner-influenced revenue and aligning on mutual success plans, critical metrics, and documented wins Partner with Figma’s GTM teams to source, scope, and progress partner-influenced opportunities, while identifying new co-marketing and co-selling motions that expand reach and unlock new use cases Evaluate and mature indirect sales motions in the context of Figma’s established sales model, recommending improvements that streamline execution and support long-term growth Educate and enable the partner ecosystem on Figma’s products, services, and AI capabilities, while building strong cross-functional relationships with Sales, Marketing, Customer Experience, Product, and other internal partners We'd love to hear from you if you have: 10+ years of professional experience in partnerships, business development, channel, or related GTM roles 3+ years of experience handling external GTM partners (e.g., SIs, agencies, consultancies, ISVs, resellers, marketplaces, or referral partners) Proven experience building partner programs or strategies from inception to execution, including defining important metrics and revenue goals Experience managing multiple strategic partner relationships simultaneously and driving measurable revenue outcomes While not required, it’s an added plus if you also have: Experience working with partners to influence or capture business within the U.S. Federal government Worked at a service organization or channel partner in a direct GTM capacity Sold to product, design, or technical audiences Familiar with UX/UI design principles, collaboration tools, or digital product development workflows Exposure to a sales methodology (e.g., MEDDICC, Command of the Message) At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Global (Remote) Workplace: Remote DECISION INTELLIGENCE ANALYST Team: Product Location: Flexible / Remote Reporting to: VP of Product ROLE OVERVIEW Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment. The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions. The Decision Intelligence Analyst is the quality control layer for decision intelligence. CORE MANDATE The Decision Intelligence Analyst is accountable for: - Evaluating decision outputs for logical integrity and sound reasoning - Identifying patterns of judgment failure or inconsistency - Designing structured feedback loops to improve AI reasoning - Training and refining AI judgment frameworks - Defining measurable standards for decision quality This role governs the reliability of Rwazi’s decision engine. KEY RESPONSIBILITIES DECISION OUTPUT EVALUATION - Review system outputs for logical coherence and reasoning rigor - Assess signal interpretation accuracy - Identify tradeoff miscalculations or flawed inference pathways - Document recurring reasoning gaps AI JUDGMENT TRAINING - Create structured examples to refine reasoning performance - Develop edge-case libraries for training robustness - Formalize evaluation rubrics for decision quality - Collaborate with R&D to improve reasoning architecture QUALITY STANDARDS & METRICS - Define measurable criteria for decision-grade output - Track improvements in reasoning consistency - Monitor drift in output quality over time - Establish acceptance thresholds for release FAILURE MODE ANALYSIS - Identify systemic reasoning weaknesses - Surface blind spots in signal modeling - Propose structured adjustments to logic layers - Escalate structural flaws early CROSS-FUNCTIONAL COLLABORATION - Partner with Product to align quality with roadmap goals - Collaborate with R&D on advanced reasoning improvements - Provide structured feedback to Engineering when system behavior deviates ROLE IMPACT Strong performance in this role results in: - Higher confidence in decision outputs - Reduced reasoning inconsistencies - Improved explainability - Faster detection of system drift - Stronger enterprise trust This role protects the intellectual credibility of the platform. WHAT THIS ROLE IS NOT - This is not general QA - This is not surface-level data validation - This is not simple output review This role evaluates reasoning quality, not formatting correctness. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong analytical and logical reasoning ability - Experience evaluating AI systems, decision frameworks, or complex models - Comfort dissecting multi-step reasoning chains - Ability to formalize judgment criteria - Strong written clarity and structured thinking - Comfort working with ambiguity and edge cases Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields. CULTURAL FIT We value analysts who: - Obsess over reasoning integrity - Question outputs rather than accept them - Care about intellectual rigor - Prefer structured evaluation over intuition - Are comfortable holding high standards HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to critique and improve structured reasoning - Clarity of their evaluation frameworks - Depth of logical analysis - Ability to identify hidden failure modes - Their rigor in defining measurable quality standards We prioritize demonstrated reasoning discipline over titles alone. SUMMARY The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

Location: Global (Remote) Workplace: Remote RESEARCH ENGINEER Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation. The Research Engineer enables applied research through technical system construction. This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints. The Research Engineer operationalizes research velocity. CORE MANDATE The Research Engineer is accountable for: - Building research prototypes and sandbox environments - Developing evaluation tooling for decision systems - Implementing experimental system architectures - Enabling fast iteration between theory and validation - Maintaining technical research infrastructure This role bridges conceptual research and system reality. KEY RESPONSIBILITIES PROTOTYPE DEVELOPMENT - Implement experimental decision pipelines - Build modular, testable research architectures - Translate conceptual models into runnable systems RESEARCH TOOLING & INFRASTRUCTURE - Create evaluation frameworks for reasoning outputs - Build simulation environments for controlled testing - Develop benchmarking systems for decision performance EXPERIMENT ENABLEMENT - Implement A/B logic and structured experiment tracking - Optimize iteration cycles for research testing - Ensure reproducibility of experimental results SYSTEM INTEGRATION SUPPORT - Collaborate with Decision Research Scientists to encode models - Provide technical validation of research concepts - Identify engineering constraints early ROLE IMPACT Strong performance in this role results in: - Faster research iteration cycles - More reliable prototype validation - Reduced gap between research and production - Higher experimental rigor This role accelerates Rwazi’s long-term capability development. WHAT THIS ROLE IS NOT - This is not product feature engineering - This is not maintenance development - This is not short-term optimization This role builds experimental systems. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong software engineering fundamentals - Experience building experimental or prototype systems - Comfort working in ambiguous research environments - Ability to balance speed and technical rigor - Familiarity with AI pipelines or decision architectures Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to rapidly implement experimental systems - Technical clarity and modularity of their code - Comfort working with incomplete specifications - Understanding of evaluation logic and system validation - Ability to collaborate with research-oriented thinkers SUMMARY The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems. If you'd like, we can next define: - Decision Systems Fellow (elite individual contributor track) - AI Evaluation & Alignment Lead - Advanced Simulation Architect - Future Platforms Lab