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Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Moldova; Montenegro; Slovenia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Remote; Portugal; Armenia; Serbia; Poland Workplace: Remote We are looking for a hands-on DevSecOps Engineer to join a fast-growing software development company delivering fintech and iGaming products. In this role, you will take ownership of security across cloud infrastructure, CI/CD pipelines, and development processes, helping build secure and scalable products. Responsibilities: - Drive the evolution of the company’s DevSecOps function by defining security initiatives, long-term priorities, and promoting a security-first engineering mindset - Partner with the DevOps team to improve the security and resilience of Kubernetes (EKS), Istio, Service Mesh, and related cloud-native infrastructure - Support engineering teams during service transitions by embedding security best practices into operational processes and ensuring effective knowledge sharing - Develop and maintain policy-as-code frameworks and infrastructure validation mechanisms using technologies such as OPA and other compliance automation tools - Improve the security of infrastructure provisioning and deployment workflows across Terraform, Ansible, and other Infrastructure-as-Code solutions - Integrate, maintain, and optimise security testing and scanning capabilities throughout the software development and release lifecycle - Build automation around security monitoring, compliance checks, and operational controls to increase efficiency and reduce manual effort Requirements: - Strong practical understanding of modern DevOps principles and secure CI/CD pipeline design - Hands-on experience with Kubernetes or other enterprise-grade container orchestration platforms - Proven experience working with Infrastructure-as-Code and configuration management technologies such as Terraform, Ansible, Chef, or equivalent tools - Solid background in administering production infrastructure, including web servers, databases, and supporting services - Good understanding of networking concepts, including TCP/IP, routing principles, and the OSI model - Experience securing distributed systems and microservices-based architectures - Proficiency with Git or other source code version control platforms - Practical experience securing cloud environments, preferably AWS, though experience with GCP or other major cloud providers is also valuable - Ability to assess infrastructure security posture, identify vulnerabilities, and implement appropriate remediation measures - Experience implementing identity and access management controls together with security automation practices - Hands-on knowledge of secrets management platforms (such as Vault) and Privileged Access Management (PAM) solutions - Experience integrating SAST, DAST, dependency scanning, container scanning, or similar security tooling into CI/CD workflows - Good understanding of Secure Software Development Lifecycle (SSDLC) principles and familiarity with security maturity frameworks such as OWASP SAMM v2 - English level: Upper-intermediate or higher What’s in it for you: - Fully remote working format - Competitive salary based on experience - Paid annual leave and sick leave - Opportunities for professional and career growth - Supportive environment focused on continuous development and long-term growth

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE Software Engineers at OnePay build the products & systems that serve our customers and run our company. Besides writing, reviewing, and shipping code, engineers collaborate with others across the company, from product, design, and data to, customer support, ops, and compliance. Software Engineers at OnePay are highly technical, communicative, and emotionally intelligent. This role is responsible for: - Working closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Building and maintaining documentation. As a growing and remote organization, having the necessary docs are key to our success.  - Solving complex problems that arise at scale. We deal with real-world money movement, sensitive financial data at scale, and are creating novel financial mechanics with no real precedent. YOU BRING - 4+ years professional experience building, shipping — and growing — non-trivial products & services. - Professional experience building, shipping — and growing — non-trivial products & services. - We are hiring at all levels of seniority for backend engineers. - Passion for your craft and care for the people you work with. You value quality across code, communication, and culture. - An act-like-an-owner mentality. We have a bias toward taking action. - A desire to keep growing your skills, and an ability to learn quickly. We hope you’ll be here for a while, and there’s no better investment than in our people. - The Triple H Factor: Hungry, Humble, Honest TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Join us on our mission to help everyone shape the tools that shape their lives. At Notion, we believe in building software that adapts to how people work, not the other way around. As we scale globally, we need someone who can ensure our revenue teams are equipped with the knowledge, tools, and processes to succeed across every geography while maintaining our core values and approach to customer relationships. We're looking for a Revenue Enablement Program Manager to own the development and implementation of global enablement programs that scale seamlessly across regions. You'll spend 50% of your time developing and locally implementing these global programs, and 50% tuning enablement initiatives to meet regional needs—all while maintaining a globally aligned selling process that honors local market nuances. This role sits at the intersection of strategy and execution, requiring someone who can think globally while acting locally. You'll leverage AI and automation to build scalable enablement solutions that empower our revenue teams to deliver exceptional customer experiences worldwide. WHAT YOU'LL ACHIEVE Global Program Development & Implementation (50%) - Champion our global operating cadence to ensure the Japan and Korea region is successfully executing our GTM strategy as an extension of the Global Revenue Operations team - Design, develop and manage comprehensive enablement programs that can be deployed globally while maintaining consistency in our selling methodology and GTM goals - Partner with Revenue Operations, Sales Leadership, and Product Marketing to create scalable training curriculum, design content, program manage SME stakeholders, develop certification programs, deploy continuous training frameworks frameworks and more - Build and maintain our global sales playbook, ensuring it reflects best practices that work across diverse markets - Leverage AI tools and automation to create personalized learning paths, real-time coaching recommendations for revenue team members and leverage the work of our Enablement team - Establish measurement frameworks to track program effectiveness and ROI across all regions — you'll close the loop and report out on progress - Lead cross-functional initiatives to align product releases, go-to-market strategies, and enablement rollouts Regional Tuning & Localization (50%) - Collaborate with regional sales and GTM leaders to identify local market dynamics, competitive landscapes, and customer behavior patterns - Adapt global programs to address regional needs while maintaining core methodology and brand consistency - Create region-specific content, case studies, and competitive battle cards that resonate with local markets - Build feedback loops between regional teams and global program development to continuously improve our approach - Support regional team leads in coaching and reinforcing enablement initiatives within their teams ABOUT YOU Experience & Expertise - 7-10+ years of experience in sales enablement, revenue operations, or similar go-to-market roles - Proven track record of building and scaling enablement programs across multiple geographies - Expert in adult learning methodologies and creating compelling multimodal content - High proficiency with the enablement tool stack including emerging AI and automation solutions (ideally AI is already embedded into your workflow) - Experience working with global sales teams and understanding of diverse market dynamics - Strong analytical skills with experience measuring program impact and ROI Skills & Qualities - Strategic thinker who can balance global consistency with local relevance - Excellent communication and presentation skills, comfortable working with senior leadership - Natural collaborator who thrives in cross-functional environments - Data-driven approach to decision making with strong attention to detail - Adaptable and comfortable with ambiguity in a fast-growing environment - Passionate about developing people and helping teams reach their potential - Fluency in Japanese and English Technical Requirements - Experience with CRM systems (Salesforce preferred), learning management systems, and sales enablement platforms - Proficiency with AI tools for content creation, data analysis, and process automation - Strong project management skills with experience managing multiple initiatives simultaneously - Comfortable with sales analytics and performance metrics NICE TO HAVES - Experience at a high-growth SaaS company - Background in sales, customer success, or revenue-generating roles - International work experience or familiarity with diverse cultural business practices - Experience with Notion or similar productivity tools - Certification in sales methodologies (MEDDIC, Challenger, etc.) - Fluency in Korean #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Makkah, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are looking for an Enterprise Risk Management Specialist with 3–6 years of experience in enterprise risk management, risk governance, risk assessment, monitoring, and reporting. The ideal candidate should have experience managing risk registers, reviewing controls, engaging stakeholders, and using Microsoft Power BI for reporting and dashboards. Experience: 3–6 years Key Responsibilities Support enterprise risk management and risk governance activities. Identify, assess, monitor, and report organizational risks. Develop and maintain risk registers. Review controls embedded within risk registers. Prepare risk reports and dashboards using Microsoft Power BI. Engage with stakeholders across the organization. Requirements Relevant Expertise Enterprise Risk Management Risk Governance Risk Identification & Assessment Risk Register Management Risk Monitoring & Reporting Controls Review Microsoft Power BI Stakeholder Engagement Preferred Certifications CRMP, CRISC, ISO 31000, or equivalent.

-Опыт работы в QA от 5 лет, включая ручное и автоматизированное тестирование, в том числе от 3 лет коммерческого опыта в QA Automation.

Location: Dallas, Texas, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Account Director - Consumer Packaged Goods Location: Dallas, TX, with client-site presence as required in the Plano, TX Area Experience Level: 8+ years; consumer packaged goods experience highly desirable Work Model: Hybrid, with regular client-site presence as required Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing focused on deploying AI systems that create measurable value for enterprise customers. As the Enterprise AI Account Director for a consumer packaged goods company, you will own an established custom engineering relationship both commercially and operationally. You will expand the account by identifying operations, supply chain, and commercial workflows where AI can create measurable value, selling those deployments, and overseeing delivery through a senior Forward-Deployed Engineer or delivery lead. This is a high-ownership role for someone who combines commercial instinct, enterprise credibility, and delivery leadership. As the Enterprise AI Account Director, You Will Expand the Client Relationship Build relationships across multiple buying centers and identify new sponsors and decision-makers beyond the current buyer. Identify AI Deployment Opportunities Assess the client’s operations, supply chain, and commercial workflows to identify two or three quantified opportunities where AI deployment can create measurable value. Sell Follow-On Work Translate identified opportunities into clear scopes of work and lead the expansion from discovery through client alignment and signed SOWs. Own Delivery Quality Maintain single-point accountability for the client relationship and business outcome. Oversee the embedded delivery team through a senior FDE lead or delivery lead. Manage Commercial Performance Own SOWs, pricing, margin, and delivery quality. Establish a written scope baseline and weekly issue log to maintain alignment across the client and delivery teams. Build Reusable Capabilities Harvest at least one reusable component from the engagement for Turing’s Enterprise AI platform. The Anti-Sell Commercial and delivery ownership: This is not a pure delivery or project management role. You will be expected to identify opportunities, sell follow-on work, own commercial terms, and remain accountable for the client relationship and outcome. Regular client presence: The role requires a willingness to work on site with the client regularly. High accountability: You will be responsible for connecting account expansion, commercial execution, and delivery quality. Our Enterprise AI Account Directors Typically Have Consumer packaged goods experience: Experience working in the consumer packaged goods industry, particularly with clients or operations based in the Dallas area, is highly desirable. Deep enterprise account ownership: Typically 8+ years of experience in enterprise technology delivery or consulting, with a track record of owning a named client relationship. Commercial expansion experience: Experience expanding an enterprise account across multiple buying centers and selling follow-on work, not only delivering initially defined projects. You should be comfortable owning SOWs, pricing, margin, and account growth. End-to-end delivery leadership: Experience overseeing delivery teams and maintaining single-point accountability for the client relationship, business outcome, and delivery quality. Recent AI or data deployment experience: Experience with AI or data deployments within the last two years, along with the ability to build trust with senior stakeholders, open conversations with new sponsors, navigate ambiguity, and communicate clearly across commercial, operational, and technical teams. Candidates whose experience is limited to delivery or project management without commercial ownership, or who lack recent AI or data deployment experience, will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York, NY (HQ); San Francisco, CA 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 Ramp is looking for ambitious generalists who want to turn difficult customer and business problems into better products and better ways of working. In Product Operations, you will own a problem space from investigation through execution and measurement. You might uncover why customers abandon a workflow, build an AI tool that removes hours of manual work, or help a product team bring a new capability to customers. You will work closely with Product, Engineering, Design, Data, and customer-facing teams, combining analytical rigor with the willingness to do the work yourself. This role is designed for people who want substantial responsibility. You will build customer understanding, product judgment, technical fluency, and the ability to lead across teams. Strong performance can create opportunities for broader ownership in Product Operations, Product Management, Business Operations, or AI Operations, depending on your strengths and Ramp’s needs. Growth comes from sustained impact, demonstrated readiness, and available opportunities. *Please note that this Product Operations role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 2 days/week* WHAT YOU’LL DO - Ramp moves incredibly fast, and our specific Product Operations needs change regularly. Each Product Operations team member is assigned to a specific product, such as Bill Pay, Procurement, or Travel. Ramp moves incredibly fast, and our specific Product Operations needs change regularly. During the hiring process, we will discuss which product areas are hiring priorities and where you could make the greatest impact. - Own customer and operational outcomes. Take responsibility for a defined problem, establish a baseline, and follow through until the experience improves. - Find the underlying problem. Combine customer conversations, operational observations, and data to distinguish recurring causes from isolated symptoms. - Make clear recommendations. Use your product sense and business acumen to size opportunities, compare tradeoffs, and help product partners decide where a process change, automation, or product investment will have the greatest effect. - Build and improve workflows. Create practical tools and automations, including AI-assisted solutions, that reduce repetitive work and improve reliability. Validate outputs and measure whether people actually benefit. - Bring changes into use with empathy. Own operational readiness, internal enablement, feedback collection, and follow-through after a launch or workflow change. - Lead across teams. Define metrics, establish owners, resolve dependencies, communicate decisions, and keep important work moving when the path is unclear. WHAT YOU BRING - 2-6 years experience in banking, private equity, consulting, or in product management or business operations roles at a demanding startup. Level and compensation will be determined based on experience and qualifications. - A record of taking personal ownership and delivering outcomes beyond the initial analysis or recommendation. - Strong quantitative reasoning: you can work with messy data, check assumptions, and translate findings into a decision. - Customer curiosity and practical judgment about which problems matter most and how to solve them. Willingness and instincts to go talk to a customer when something is unclear. Ability to prioritize well and work on the most important problems. - Strong communication skills and the ability to earn trust for your arguments across technical and business teams. - Resourcefulness, receptiveness to feedback, and evidence that you learn unfamiliar subjects quickly. - Experience using AI tools to build something or improve a workflow, with a thoughtful approach to checking quality. NICE-TO-HAVES - Experience building internal tools, using APIs or low-code platforms, - Working with financial products, shipping software with AI assistance, - Owning a launch can help you get started. - We value the difficulty of the problems you have solved and the results you can explain. ABOUT SOME OF OUR TEAMS: - Spend Management owns our core spend product, including card issuance, reimbursements, and travel & entertainment to control spend - Procurement owns streamlining new purchase requests, approvals, vendors, savings, and price intelligence products to help companies make better financial decisions - Intelligence owns the reporting, savings, and price intelligence products to help companies make better financial decisions - Bill Payments owns our invoice management, accounts payable, and B2B payment capabilities - Risk owns our underwriting and financial products that determine which businesses to approve and how to manage risk - Growth owns onboarding, activation and retention products to help our customers be successful on the Ramp platform - Accounting owns creating intelligence in our accounting platform, saving finance teams time and money - Mobile owns our mobile app development and mobile strategy 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: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Data Analyst to be a key analytical partner to our Customer Success organization and our product-led, digital customer journey. You’ll shape how the business understands what drives adoption, retention, and expansion, analyzing how customers move from sign-up to activation, engagement, conversion, expansion, and renewal, and turning that into clear, actionable insight on the growth levers leadership can act on. Sitting within our centralized analytics function, you’ll work closely with Customer Success, Product, Growth, RevOps, and Data Engineering, bringing strategic thinking, deep PLG expertise, and the ability to turn complex data into clear recommendations that move the business forward. You’ll help define how digital and scaled success programs are measured, size opportunities, show where to invest next, and help shape the data foundations that underpin our AI and automation capabilities. How we’re using AI today On the Analytics team, we're thoughtfully embedding AI into how we work with data. That looks like using AI to accelerate SQL development, pressure-test interpretations, turn complex datasets into clear executive narratives, and increasingly, building Generative BI applications that let stakeholders explore and interrogate data on their own. We approach AI the same way we approach data quality: with clear standards, human accountability at every consequential decision, and a commitment to getting it right before it influences the business. Beyond our own workflows, our role is evolving to ensure 1Password has the data foundations, governance, and structure its broader AI transformation depends on. This is a remote opportunity within Canada and the US. What we're looking for: - 5+ years in analytics within complex B2B SaaS environments, ideally in a product-led or self-serve motion. B2C or hybrid B2B/B2C experience is a plus - Strong PLG and customer lifecycle expertise, including activation, PQLs, cohort analysis, retention, churn, expansion, and growth modeling - Experience partnering with Customer Success, Product, and Growth stakeholders and translating open-ended business questions into analytical frameworks - Ability to synthesize complex analysis into clear recommendations and communicate them to senior leaders, influencing decisions and priorities - Experience with experimentation (A/B testing), statistical modeling, or predictive techniques (e.g., churn or propensity modeling) in a business context - Advanced SQL and strong experience with large-scale analytical datasets, including product usage and event data - Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar) - Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt - Experience working with GTM and customer platforms such as Salesforce and a CS platform (Gainsight, or similar). Familiarity with product analytics tools (Amplitude, Segment, or similar) is a plus What you can expect: - The opportunity to do meaningful analytics work across adoption, retention, expansion, and digital success in a fast-moving, product-led SaaS environment - Close partnership with Customer Success stakeholders and a direct line to leadership on the growth levers that matter most, contributing to how the organization measures performance and makes day-to-day decisions - Involvement in building the data foundations and analytical standards that Customer Success and 1Password’s broader AI capabilities will depend on - Exposure to how AI gets applied in customer analytics, including Generative BI and AI-assisted workflows across forecasting, anomaly detection, and insight generation - Cross-functional collaboration across Customer Success, Product, Growth, Marketing, Finance, RevOps, and Data teams - An environment where there’s a lot to build and your contributions will have real impact, ideal for someone who is eager to grow, take ownership, and make their mark USA-based roles only: The annual base salary for this role is between $122,000 USD and $171,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $105,000 CAD and $147,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are hiring our founding Account Executive. You will own the sales cycle from qualified interest to signed contracts and build the playbook the rest of the GTM team runs on.  Our deals start with a security champion: a principal security engineer or director of product security who has seen what coding agents do inside their org and wants Watcher. Deals are won by taking that champion's interest and moving it through the rest of their organisation to a committed evaluation: the platform team that thinks it could build this itself, the CISO who has to sponsor it, the procurement and legal functions that have to let it in. That handoff, including the build-vs-buy conversation, is where deals stall today. Running it well is the core of this job. We are hiring forward-deployed engineers (FDEs) who run the technical evaluation with you. You own the commercial thread: who needs to say yes, what the evaluation has to prove, and how it converts. You'd work closely with our GTM lead and GTM associate who owns the top of the funnel. KEY RESPONSIBILITIES Convert a champion into an evaluation Find the champion in each qualified account, arm them with what they need to sell internally, and map who else has to say yes. Run the build-vs-buy conversation with platform and security engineering teams on its merits: what they would have to build, maintain and be on the hook for, against what Watcher already does. Secure an executive sponsor and convert interest into a scoped proof of value (POV) with success criteria agreed up front. Run evaluations to a decision, with FDEs Partner with FDEs on technical evaluations. They run the technical work; you keep the evaluation pointed at the decision: momentum, stakeholder coverage, and the commercial case. Build the commercial and ROI case that secures executive-level investment. Own commercial negotiation, security review, procurement and close in multi-stakeholder cycles involving security, engineering, procurement, legal and executive decision-makers. Create the way in Identify warm introductions paths via investors, advisors, clients, partners and networks. Brief connectors and draft the messaging that makes the introduction land. Capitalise on high-value engagement opportunities: speaking panels, hosted roundtables, buyer communities and embedded partners. Work with the GTM team on targeted outbound into segments where we have something specific to offer. Build the playbook and hire the team Write down what works: qualification criteria, discovery questions, the build-vs-buy argument, POV structure, pricing guidance, objection handling, security questionnaire answers. Report on pipeline health, stage conversion and what is working well enough to double down on. Product and market insights Bring honest signals back about why deals progress or stall, and what buyers compare us against when they consider building it themselves. Work with the product team on positioning, pricing, and the collateral enterprise buyers actually ask for. REPRESENTATIVE PROJECTS Turn a champion into a buyer. Take an account where a principal security engineer loves the product and nothing has moved for two months. Map who else needs to say yes, run the build-vs-buy conversation with the platform team, get an executive sponsor, and convert it into a scoped evaluation with success criteria and a date. Compress the cycle. Enterprise evaluations in this market routinely take longer than they need to. Take the process apart with the FDEs,  work out where the time actually goes, and rebuild it so an evaluation reaches a decision faster. Land a lighthouse enterprise . Take a large, slow, security-conscious organisation from first conversation through technical evaluation, security review and procurement to a production contract, and turn the process into a documented path the next one can follow. Write the playbook. By the time we add the next two people to this team, the thing that gets them productive in a month rather than six should be something you wrote. JOB REQUIREMENTS Must-haves 5+ years in GTM , with a track record of closing five- and six-figure ACV technical deals as an AE into engineering or security organisations. You have personally taken a technical champion's interest through the rest of their org to a signed contract, and you have won the build-vs-buy argument more than once. Proven success selling a technical product to technical buyers matters more to us than total AE tenure. Early-stage experience. You have sold at an early-stage company before it had a machine.You have 2+ years in a startup without mature marketing, no SDR team, no brand recognition doing the work for you. You generated your own pipeline, decided what to work on, and wrote down what worked. Technical credibility with a technical buyer . Our buyers are directors of product security, principal security engineers and engineering leaders. You can run discovery with them, understand the architecture well enough to be useful  and know when to bring in an FDE. Strong nice-to-haves You have closed into large, slow organisations. Our pipeline includes banks, quant funds and enterprise technology companies. You have run deals through security review, architecture review and procurement, and have a realistic sense of how long that takes and how to compress it. You have sold security, developer tools, or infrastructure. Non-linear background. Former founder, operator, or a hybrid role that combined selling with product or strategy. Explicitly not required Formal AI safety background. We need an excellent seller who can learn the AI safety context, and we will teach you what you need to know. Management experience. This starts as an individual contributor role. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Base Salary: £85,000 - £129,000; Variable: performance incentives against ARR targets Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London office, with regular travel to conferences and customer sites. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead and GTM associate on the pipeline, as well as the FDEs we're hiring to run the technical evaluations alongside you. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across North America. We have offices in NYC, San Francisco, and Seattle. We’re looking for an AI-Native Social Media Creative, a creative generalist who works natively with AI tools to produce exceptional short-form work for Instagram Reels, TikTok, YouTube Shorts and X. Your background might be in editing, directing, design, animation, art direction or writing. What matters is that you’re already deeply embedded in AI-assisted creative workflows and are pushing the boundaries of what these tools can do. Editing is the core of the role, and you know how to cut short-form video that holds attention from the first frame to the last. This is a making role. You’ll create work across formats, from short-form video and motion to design and editorial, using Runway’s products and the broader landscape of generative AI tools. Some days you’ll be cutting a launch-day Reel from generated footage. Other days you’ll be jumping on a trend the moment it breaks, building out tutorial content or exploring a creative application of a product feature no one’s tried yet. The output varies; the throughput and quality standard don’t. Much of your work will sit at the top of the funnel, often as someone’s first encounter with Runway. It needs to stop the scroll, perform with the algorithm and feel native to each platform. You’ll also work in real time, turning model releases, trends and cultural moments into fast, reactive content while they’re still peaking. You’ll sit within the creative department and report to the Social Media Lead. But the nature of the role means you’ll also work across product, research and marketing, often as the person who translates a product capability into a compelling creative artifact that’s geared to social audiences.   WHAT YOU’LL DO - Create high-quality short-form video, motion, design and animation for Instagram Reels, TikTok, YouTube Shorts and X using AI tools, primarily Runway’s own products - Edit short-form content built to hold attention, from the opening hook through the final frame - Develop concepts and execute finished work, not just prototypes, from initial idea through final output - Create top-of-funnel content that stops the scroll and performs with each platform’s algorithm - Respond to trends, news and cultural moments with fast, real-time content - Explore and push the creative boundaries of generative AI tools, finding new techniques, workflows and visual languages - Produce content across brand campaigns, product marketing, social, tutorials and internal demos - Partner with product and research teams to translate new features and model capabilities into creative work that showcases what’s possible - Contribute to the team’s evolving creative process by sharing workflows, techniques and best practices as the tools themselves evolve WHAT YOU’LL NEED - 4 to 8 years of professional creative experience in social, in editing, directing, design, animation, art direction, writing or a combination - Exceptional short-form editing skills, with a strong instinct for hooks, pacing and sound - A portfolio that demonstrates exceptional creative output made with AI tools, not just traditional work, and not just experimentation, but polished, intentional creative work - Deep, hands-on fluency with generative AI creative tools: you use them daily and understand their capabilities and constraints at a practitioner level - Strong visual and conceptual taste: you know what good looks like regardless of the medium or how it was made - Proven understanding of social media across Instagram, TikTok, YouTube and X, with a strong handle on trends, formats, strategies and what each algorithm rewards - Real-time instincts: you spot trends early and turn quality work around fast - Self-direction and creative initiative: you don’t wait for a brief to start making - Curiosity about the technology itself: you follow model releases, experiment with new tools and understand the trajectory of generative AI - Comfort working in a fast-moving environment where the tools, workflows and possibilities are changing constantly Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Poland Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Cyprus Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Spain Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Kinshasa, Kinshasa, Democratic Republic of the Congo Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The Senior Human Resources for Health Advisor will support the Office of Foreign Assistance of the U.S. Department of State Embassy Kinshasa carrying out the America First Global Health Strategy. The primary focus of the Advisor will be technical support to develop a Political Economic Analysis of  Frontline health workers management and payment transition operational plan in alignment with the U.S,-DRC Health Cooperation Memorandum of Understanding (MOU) signed on February 26, 2026. This position specifically supports Section 2.4 of the MOU, with human resources for health responsibilities spanning all health service delivery areas (HIV, TB, malaria, maternal and child health, nutrition, global health security including polio eradication) to strengthen the entire health system rather than individual disease programs. The Senior Advisor will support the Ministry of Health, Hygiene, and Social Security (MOH) for improving performance and retention of human resources for health of front-line health workers, including community health workers.  The Senior Consultant will identify policy and practice bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through the Ministry’s programming and administration efforts along with the health donors group members. The Senior Advisor will identify technical and skills bottleneck and facilitate solutions through close mentorship. S/he will be based at the MOH Human Resources Division Office. The Senior Consultant will receive day to day direction from the Division head. S/he will be reporting to U.S. Embassy Public Health Advisor and Frontline Health Workers workstream Lead bi-weekly. The Advisor will support the MOH in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. Responsibilities Support the MoH General Secretary to manage and coordinate efforts to process with employees hiring plan, set up HR data systems, review and update salaries and allowances payroll as well as retirement plans. Provide technical assistance in the compilation of a valid, up to date registry of front-line health workers in collaboration with the MOH and the Ministry of Public Works. Advise the MOH General Secretary on health policy and strategy gaps and make recommendations for remedial actions. Coordinate with the U.S. Government and the Global Fund to list staff receiving bonuses and ensure that they are `national staff register or private sector entity payroll systems. Develop a risk mitigation and communications plan to maintain performance and retention of health workers transitioned off of bonuses by January 2027. Support U.S. Government implementing partners to create a plan for transition CHWs to monthly stipends by domestic health resources per the MOU. Participate as a resource member to the GIBS Sante Health Workers and Service Delivery Working Group to support implementation of the 2026 priority action plan and improve coherence of related health donor actions to strengthen human resources of health policy and practice. Support the MOH to ensure workforce strategies support integrated health service delivery across all MOU Areas of Cooperation rather than vertical program structures. Coordinate with the LEAP Health Finance Advisor and Health Governance Advisor to align workforce transitions with co-investment tracking and financial oversight. Reporting: The Advisor will submit a monthly report to designated officer at the U.S. Embassy Office of Foreign Assistance by the 5 th day of the following month. Reports should demonstrate how workforce activities support integrated health system strengthening across all MOU Areas of Cooperation. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced Academic Credentials: Master’s degree or higher in Public Health, Health Policy, Health Economics, Public Administration, or related field. At least seven (7) years of relevant experience in the following areas: HRH Policy & Regulatory Leadership: Led formulation/revision of national HRH strategies, regulatory frameworks, and workforce policies aligned with UHC and Ministry of Health priorities. Workforce Planning & Operations: Designed staffing norms, deployment strategies, HRIS systems, and performance management frameworks in decentralized health systems. Risk Management in Fragile Settings: Conducted operational risk assessments and developed mitigation plans addressing attrition, payroll integrity, donor dependency, and emergency surge capacity. Donor & Stakeholder Coordination: Aligned HRH investments across government, World Bank, USG, and implementing partners; facilitated multi-partner consensus. Institutional Capacity Strengthening: Led technical assistance, change management, and M&E systems to strengthen sustainable HRH governance. Full Professional Fluency: Bilingual English and French (written and oral), with experience leading high-level policy dialogue and technical drafting in both languages. Experience with IRIS is desirable. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.